2017 iedrc beijing conferences abstracticfme.org/history/program-2017-beijing.pdf · bm0007: assets...

1

2017 IEDRC BEIJING CONFERENCES

ABSTRACT

2017 International Conference on Business and Information Management

(ICBIM 2017)

2017 7th International Conference on Financial Management and Economics

(ICFME 2017)

Beijing, China

July 23-25, 2017

Sponsored by

Published by

http://www.iedrc.org/


2

Table of Contents

Welcome Remarks 6

Introductions for Beijing University of Technology 7

Conference Venue 8

Introductions for Publications 9

Instructions for Presentations 10

Introduction for Conference Chair 11

Introductions for Keynote Speakers 12

Time Schedule 17

Session 1: Finance and Economics

FM002: The Effect of Accounting Reporting Complexity on Financial Analysts

Rani Hoitash, Udi Hoitash and Ari Yezegel 19

BM0007: Assets and Liabilities Portfolio Optimal Model based on ES Controlled Interest

Rate Risk

Hongxi Li, Guotai Chi

19

BM0008: Weight Optimization Model based on the Maximum Discriminating Power of

Credit Evaluation Result

Shanli Yu, Guotai Chi

19

BM0033: High Embedded Dimension Stock Data Prediction Model based on Chaotic

Prediction Model

Jianding Zhou, Peiqi Zhen, Yue Zeng

20

FM005-A: Health Care Expenditure and Health Outcome Nexus: New Evidence from

SAARC-ASEAN Region

Mohammad Mafizur Rahman, Rasheda Khanam

20

FM013-A: Do Cross Shareholding Relief the Risk of Stock Market Crash?

Songling Yang, Miao Wang, Tingli Liu 20

FM017: Research on Influences and Coping Strategies of Carbon Emission Reduction

Policy——Taking Beijing Bus Company as an Example

Lixiang Zhao, Jing Tang

21

FM024: Evaluating the Level of Urban Infrastructure Economic Benefit: Case Study of

Beijing, China

Yin Cui

21

FM101-A: Is Natural Resource a Curse or Blessing?-The Case of Mongolia

Bolor Narankhuu 21

FM102-A: Financial Development and Economic Growth Revisited: Time Series

Evidence

Ariuna Taivan

21

FM401: Determinants of Balance of Trade in the Sri Lankan Economy

Erandi Weerasinghe, Tissa Ravinda Perera 22

Session 2: IT Application and Social Management


3

BM0031: Applications of Civil Information Modeling (CIM) for Constructability Review

in Railway Construction Projects

Yu-cheng Lin, Chia-Pin Yen, Hsin-Tzu Hu

23

BM0009: Exploring Barriers Underlying College Students’ Adoption of MOOCs

Long Ma, Chei Sian Lee 23

BM0016: Research on Adverse Drug Reaction Recognitions based on Conditional

Random Field

Qingping Song, Bing Li, Yuyang Xu

23

BM0039: Content Analysis and Spatial Analysis: A Case Study of Public Satisfaction of

Indonesia National Health Insurance

Ariph Satyanagara, Isti Surjandari

24

BM0041: Classifying Indonesian Online Articles as Advertisement Placement Base

Using Text Mining

Nadhira Tasya, Arian Dhini

24

BM1003: Hollywood Star Power and Securitainment as a Potential Response to Fears of

Cyber Crimes

Ruifang Hope Sun

25

BM1004: Study on Application of PSO with Time Window for User Recommendation in

Research Social Networks

Rui Hu, Chao Zhang, Xinliang Han

25

BM1026: Establishment of Business Intelligence and Big Data Analysis for Higher

Education

Michael Yao-Ping Peng, Sheng-Hwa Tuan, Feng-Chi Liu

25

FM007: Development of a New Model for Electricity Demand Forecasting

Yuqing Zhang, Betty Wang 25

FM016-A: Uses of Management Control Tools: Study on the Adaptation of

Classifications to the Public Sector

Nicolas Petit, Gulliver Lux

26

Session 3: Business Management

BM0014: Information Contents and Mediating Effects of Intellectual Capital and Financial

Capital on the Corporate Value Relevance of Business Strategy

Kuo-An Tseng, Shu-Hua Wang, Ching-I Lin, Shih-Hung Tai

27

BM0017: Analysis of Evaluating Dimensions of Chinese Express Hotels based on User

Generated Content

Jingxuan Zhang, Bing Li, Fei Teng, Can Cui, Yikai Deng

27

BM0018: Correlation Analysis between the Products Involvement and Audience Satisfaction of

the Web Fiction-adapted Teleplay

Wenfeng Liang, Hongjie Chen, Xiaoran Ti, Lushan Guo

27

BM0038: A Transitivity Analysis of On-line Product Descriptions—A Case Study of Book

Product Descriptions

Huan Wang, Lei Zhao, Jianhua Jiang

28

BM0046: How can Risk Propensity Mediate the Effect of Trait Anxiety on Entrapment

Behavior?

Somayeh Khoshsoroor, Dapeng Liang, Ehsan Chitsaz, Hanieh Alizadeh

28


4

BM1021: An investigation into External Environment Factors affecting Performance of Small

and Medium Enterprises in Cote d’Ivoire

Diabate Ardjouman, Lariaa Mingaine

28

FM022: The Impacts of Product Packaging Elements on Brand Image And Purchase

Intention-An Empirical Study of Phuc Long’s Packaged Tea Products

Mai Ngoc Khuong, Nguyen Thi Huyen Tran

29

FM026: The Impact of Atmospheric Factors on Repurchase Intention at Upscale Restaurants in

Ho Chi Minh City, Vietnam

Mai Ngoc Khuong, Dao Ngoc Quynh

29

FM202: Corporate Social Performance: A Multi-Stakeholder Analysis of Indonesian Energy

Companies’ Sustainability Report

Amelia Kurniawati, TMA Ari Samadhi, Iwan Inrawan Wiratmadja, Indryati Sunaryo, Rayinda

Pramuditya Soesanto, Fadel Muhammad

29

Session 4: Market Analysis and Marketing Management

BM0010: Online Purchase Intention based on TAM and IAM: A Literature Review

Yu Wang 30

BM0023: An Investigation on Online Shopping Behaviors in the Singles Day: The Role

of Gender

Qingyu Zhang, Cui Li, Chunling Zhang, Kang Wang

30

BM0025: Market Structure and Competitive Behavior of China’s P2P Lending Industry

Kai Qiao, Yihan Dong, Peiwu Dong 30

BM0028: Does Customer Perception really Influence Customer Retention? A Conditional

Indirect Effect Analysis

Chien Lung Hsu, Yi-Chuan Liao

31

BM0029: The Like Economy: The Impact of Interaction Between Artists and Fans on

Social Media in Art Market

Xin Kang, Wenyin Chen

31

BM0030: Intelligent Smart Bait Fishing: A New Mobile App Business Model

Yueliang Lu, Fadi Thabtah 31

BM0042: Classifying Purchase Decision based on User Clickstream in E-Commerce

Using Web Usage Mining

Surya Yehezki, Arian Dhini

32

BM0043: Identifying Consumer Buying Behavior Differences through Market Basket

Analysis in Multiple Outlet Types

Nurfitriana Tri Utami, Isti Surjandari

32

BM1022: Shopping Environment: A Preliminary Investigation of Gulf Tourists’ Emotion,

Shopping Intention and Word of Mouth Intention

Alalyani, Abdulrahman Saleh M, A.Y.M. Atiquil Islam, Alaliani, Reem Abdulrahman

M, Norzalita Abd Aziz

32

BM1023: Modeling of Revisit Intention: An Empirical Study on Tourists’ Electronic

Word of Mouth, Destination Image and Perceived Risk

Alaliani, Reem Abdulrahman M, A.Y.M. Atiquil Islam, Alalyani, Abdulrahman Saleh

M, Norzalita Abd Aziz

33

Poster Session 34


5

Listeners’ List 36

Academic Visiting/City Visiting 37

Call for Papers 39

Note 44


6

Welcome Remarks

It is a great pleasure to be here in Beijing and host the conference namely 2017 International Conference on

Business and Information Management (ICBIM 2017), and 2017 7th International Conference on Financial

Management and Economics (ICFME 2017). It’s so glad that many of you have been able to take time out of

your busy teaching and research schedules and join the conference. We would like to give the warmest

welcome to all participants. Hope you could have an impressive experience at the conference.

Today's conferences take place under the great sponsorship of Beijing University of Technology, China.

Beijing University of Technology (formerly known as Beijing Polytechnic University) was founded in 1960.

It is a key university under the administration of the Beijing municipal government, which has established a

multi-disciplinary academic structure. The structure offers various programs and also involves in diversified

academic research in the fields of science, engineering, economics, management, liberal arts and law. It is

ranked as one of the 100 key universities for the 21st century. Its mission is relying on Beijing, merging into

Beijing, inspiring China and orienting itself to the world. In fulfilling this mission, the university has become

a base for cultivating qualified high-level personnel, for scientific and technological innovation and for

research and development.

As you can see from this program, this is precisely what we are hoping to achieve through these conferences.

Each of you has been asked either to make a presentation or to be a session chair today. You are asked to

explain challenges you have encountered in research in your own area of expertise, and to share with us

which research strategy/methodology did or didn't work for you, as well as any lessons you may have drawn

from it. While we hope that you will find the sharing of your research experiences among yourselves useful,

listening to your presentations is also a great opportunity for the others present here today to better

understand the positioning of your research, which in return conducive for them to make better

suggestions/recommendations for your future research. Session chairs are also aimed in part to serve this

purpose. So, please be prepared to explain what you do or intend to do in your own expert area, and accept

your comments on how you can enhance your research outcomes. So please express your frank views on

others work in your own expert areas, and tell them what you want them to do more or differently


7

Introductions for Beijing University of Technology

Beijing University of Technology, also called Beijing Polytechnic University or Bei Gong Da, is recognized

as one of the Project 211 universities. The University has established a multidisplinary academic structure,

offering a variety of programs and is involved in diversified research in the fields of Science, Engineering,

Economics, Management, Liberal Arts, and Law.

Beijing University of Technology was founded in 1960 with five engineering departments. The first group of

students was transferred from Beijing Institute of Technology and Beijing Normal University.

In 1981, Beijing University of Technology formed the graduate school. In 1985, the school started granting

the Doctoral degrees with international standard.

In 1990, Beijing Tech acquired the College of Economics and Management from Beijing Union University,

and later in 1993, Beijing Computer Institute became College of Computer Science as part of the university.

In 1993, Beijing Tech formed the Experimental College by cooperating with local business, which later

became an independent college. Over the decades, the social science's played a significant role therein.

Especially, the achievements of faculties in facet of Economics, Law and other social sciences have indicated

that this university has been changed into a de facto comprehensive university with wide variety of schools

and colleges thoroughly. The most achievements is mainly focused on the engineering research and

education.

Beijing Tech's main library is a modern complex occupying a floor area of more than 20,000 square meters.

The library houses about 700,000 printed materials, 60,000 e-books, more than 40 kinds of database

resources, forming a documentation resource system which meets the demands of teaching and research. The

library also cooperates with the Capital Library of Beijing and the Information Center of the Chinese

Academy of Science, providing professional services to the student and faculty.

Beijing Tech was selected to host the Badminton competitions of the 2008 Beijing Olympic Games, a new

athletic gymnasium was finished in September 2007, and met the requirements of the International Olympic

Committee.


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Conference Venue

Grand Gongda Jianguo Hotel (北京工大建国饭店) http://www.gongda-jianguo.cn/

Add: 100 Pingle yuan Street, Chaoyang, 100124 Beijing, China

北京市朝阳区平乐园 100 号（北京工业大学南门西侧）

Tel: 010-59102062

Grand Gongda Jianguo Hotel is located a 12-minute drive from China World Trade Center and Guomao

Commercial Area. The stylish hotel offers a health club, free parking and free internet.

Spacious guest rooms at Grand Gongda Jianguo are fully air conditioned and feature a modern interior.

Each well-furnished room has an electric teakettle, ironing facilities and a flat-screen TV with cable

channels.

Hotel Grand Gongda Jianguo has a well-equipped fitness center. Laundry and dry cleaning services are

offered. The hotel has a tour desk to assist guests with travel arrangements and ticketing.

Fu Yuan Cafe serves a wide variety of international and Asian dishes. Japanese and Chinese food can be

tasted at Wan Shi Chuan Japanese Restaurant and Tainan Fu Cheng Chinese Restaurant respectively.

Grand Gongda Jianguo Hotel is a 10-minute drive from the Antique Market. It is 27 miles from Beijing

Capital Airport and will take around 40-50 minutes by taxi.


9

Introductions for Publications

All accepted papers for the Beijing conferences will be published in those proceeding/journals below.

2017 International Conference on Business and Information Management (ICBIM 2017)

International Conference Proceedings Series by ACM

Indexing: the ACM Digital Library, Ei Compendex, Scopus and Thomson Reuters Conference

Proceedings Citation Index (ISI Web of Science).

部分通过审核并接收的文章可由 ACM 出版成论文集，并由 Ei Compendex 和 Scopus 检索

International Journal of e-Education, e-Business, e-Management and e-Learning (IJEEEE)

ISSN: 2010-3654

DOI: 10.17706/IJEEEE

Abstracting/ Indexing: Engineering & Technology Digital Library, Google Scholar, Electronic Journals

Library, QUALIS, ProQuest, EI (INSPEC, IET).

2017 7th International Conference on Financial Management and Economics (ICFME 2017)

Journal of Economics, Business and Management (JOEBM)

ISSN: 2301-3567

DOI: 10.18178/JOEBM

Abstracting/ Indexing: Engineering & Technology Library, Electronic Journals Library, Ulrich's

Periodicals Directory, MESLibrary, Google Scholar, Crossref, and ProQuest.

International Journal of Trade, Economics and Finance (IJTEF)

ISSN: 2010-023X

DOI: 10.18178/IJTEF

Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic

Journals Library, DOAJ , EBSCO, and Ulrich's Periodicals Directory.


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Instructions for Oral Presentations

Devices Provided by the Conference Organizer:

Laptops (with MS-Office & Adobe Reader)

Projectors & Screens

Laser Sticks

Materials Provided by the Presenters:

Power Point or PDF Files (Files should be copied to the conference laptop at the beginning of each session)

Duration of each Presentation (Tentatively):

Keynote Speech: 40 Minutes of Presentation, 5 Minutes of Q&A

Regular Oral Presentation: about 15 Minutes of Presentation and Q&A

Instructions for Poster Presentation Materials Provided by the Conference Organizer: The place to put poster

Materials Provided by the Presenters: Home-made Posters

Maximum poster size is A1, portrait direction

Load Capacity: Holds up to 0.5 kg

Best Presentation Award One Best Oral Presentation will be selected from each presentation session, and the Certificate for Best Oral

Presentation will be awarded at the end of each session on July 24, 2017.

Dress Code Please wear formal clothes or national representative clothing.


11

Introduction for Conference Chair

Prof. Yongan Zhang

Beijing University of Technology, China

Zhang Yong-an, Doctor of Management, is the Doctoral Advisor and professor of the school of economic

and management at Beijing University of Technology. Dr Zhang is also the Adjunct Professor in Shanxi

University of Finance and Economics, Shanxi University of Science and Technology and Beijing Material

Institute, as well as management consultant for listed companies. Dr. Zhang’s research expertise includes

enterprise development strategy, enterprise business model, high and new technology industry cluster

innovation network policy. Dr. Zhang has participated and presided over four of the national natural science

fund projects and provincial soft science projects. He was awarded second prize for excellent achievement of

philosophy and social science at the provincial level, second prize in provincial scientific and technological

progress, provincial outstanding young economic theory workers and many other awards. Dr. Zhang has

obtained four counts of software copyright: the Complex Logistics Simulation Platform; the Immediate

Network Information Acquisition System; Researchers Questioned Message Interaction Management

Platform System. And he also undertook and completed the cooperation with Beijing municipal committee:

Beijing City Traffic Votes Fares Research, the Research of Beijing Parking Business Cost and other more

than 10 unique projects. Till now, Dr. Zhang has already completed two books and teaching materials,

published more than 50 high level academic papers.


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Introductions for Keynote Speakers

Prof. Jin Wang

Valdosta State University, USA

Jin Wang is a Professor of Operations Research in the Department of Mathematics at Valdosta State

University, USA. He received his Ph.D. degree from the School of Industrial Engineering at Purdue

University in 1994. His research interests include Operations Research, Stochastic Modeling and

Optimization, Supply Chain Management, Monte Carlo Simulation, Computational Finance, Portfolio

Management, and Applied Probability and Statistics. Currently, he is working on Big Data and Data Mining

fields. He has more than 28 years collegiate teaching experience in the field of quantitative methods and

statistics at Purdue University, Florida State University, Auburn University, and Valdosta State University.

Dr. Wang has been active in professional research activities. He has authored articles for publication in

referred journals and conference proceedings. He has been active in INFORMS, IIE, and the Winter

Simulation Conference and invited to give presentations, organize and chair sessions at national meetings.

He has participated as a principal investigator in several research projects funded by federal and industrial

agencies, including the National Science Foundation, General Motors, and the National Science Foundation

of P.R. China. He was invited as a panel member at the National Science Foundation Workshop. Dr. Wang

also served as a consultant for financial firms. His analytical Monte Carlo method using a multivariate

mixture of normal distributions to simulate market data has made a great impact in education and the finance

industry. This algorithm was selected as a graduate-level research project topic for many schools, such as,

Columbia University Management Department, Carnegie Mellon University Economics and Finance

Department, Tilburg University in Holland, Technische Universitaet Munich in Germany, Imperial College

in London. This method was also implemented in many financial companies, such as, Zürcher Kantonal

Bank, IRQ, Zürich Switzerland, Klosbachstrasse, Zürich, Switzerland, Norsk Regnesentral in Norway, Cutler

Group, L.P., Altis Partners (Jersey) Limited, Windham Capital Management, LLC.

Speech Title: On Cluster Based Multivariate Outlier Detection in Data Mining

Abstract: In today’s big data age, mining outliers has become more and more important. It has wide

applications in many fields, such as, detection of potential terrorist attacks, credit card fraud detection,

network intrusion, clinical trials, severe weather prediction, and athlete performance analysis. On the other

side, outlier removal also plays an important role in big data cleaning process. In this study, we propose a

normal mixture model for the multivariate outlier detection. Due to the large volume and variety of big data,

the classical Euclidean distance measure are not working well for mining multivariate outliers. Variables

among different dimensions are usually correlated. Different distant measures will be discussed including the

well-known Mahalanobis distance. The mixture model parameters are fitted via the EM algorithm. The

K-means clustering algorithm is used to provide the initial inputs for the EM algorithm. The optimal k

clusters and initial centers issues will be discussed. A nonsingular robust covariance estimation in calculating

Mahalanobis distance will be introduce.


13

Prof. Yanqing Duan

University of Bedfordshire, UK

Yanqing Duan (BSc, MSc, PhD, SFHEA) is a professor of Information Systems. She is also the founder

and director of Business and Information Systems (BISC) at the Business School, University of Bedfordshire.

Her principal research interest is the use of the emerging Information and Communication Technologies (ICT)

in organisations and their impact on decision making, innovation, and knowledge management. Her recent

research has focused on how, why and to what extent Business Analytics is impacting on decision making,

innovation, and organisational performance. She has co-ordinated many research projects funded by various

funding sources, such as: European Commission, UK Department For International Development (DFID),

JISC, British Council, etc. She has published over 180 peer reviewed articles, including papers in European

Journal of Information Systems, IEEE transaction on Engineering Management, Information & Management,

European Journal of Marketing, Journal of Business Research, The Information Society, Expert Systems with

Applications, Information Technology & People.

Speech Title: Understanding the Use and Impact of Big Data and Analytics: Research Challenges and

Opportunities

Abstract: The emergence of Big Data and the advance of analytical technologies provide organisations

with extraordinary opportunities to differentiate themselves through analytics. How, why and to what extent

is Big Data and Analytics impacting on business operations and performance? Researchers are facing many

emerging research challenges as well as opportunities in order to address these questions and to help

organisations maximise the value of analytics in the era of Big Data. This presentation will first provide a

brief review of the current development of research on understanding of the use and impact of Big Data

Analytics. Based on the speaker’s involvement in the research projects focusing on examining the impact of

analytics on business competitive advantages, innovation, strategic decision making, and student experience

management in UK HEIs, the presentation will discuss the practical implications for industry and the key

challenges and opportunities for research emerged from the recent research projects.


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Assoc. Prof. Chao Wang


Chao Wang is an Associate Professor of Management Science and Engineering in School of Economics

and Management at Beijing University of Technology, China. He received his Ph.D. degree at Beijing

Jiaotong University in 2015. He was a visiting scholar in Purdue University from 2012-2014 and will be a

post-doc in Center for Polymer Studies at Boston University from 2017-2019. His research interests include

Operations Research, Supply Chain Management, and Econophysics. Currently, he is working on the

abnormal fluctuations formation mechanism of stock market based on investors’ interaction. Dr. Wang has

published more than 30 papers in referred journals and conference proceedings and authored or co-authored

one book. He has been principal investigator in several research projects funded by National Science

Foundation of China, Beijing Social Science Foundation.

Speech Title: Financial Theory of Systems Science

Abstract: With the revolution of the financial system and the development of the related disciplines, the

research paradigm of the financial theory continues innovating. Financial theory evolves to the highly-open

and multi-level nonlinear dynamics of complex systems, but modern financial theory and behavioral

financial theory cannot effectively cognize and reveal the evolution and operation laws of the financial

system and it is more difficult for them to realize the optimization and control of the financial system. Crises

occur in their research paradigms. The important practical problems such as financial and economic problems

happening in the operation of the economic and financial systems make the research paradigm of the

financial paradigm change radically. The financial theory of systems science is a new research paradigm of

financial theory. It is the promoted result of interaction from simple to complex and the development of

systems science theory and other factors of the financial system, which represents the future innovation

direction of the financial theory.


15

Assoc. Prof. Haiying Ren


Haiying Ren is an Associate Professor of Management Science and Engineering in School of Economics

and Management at Beijing University of Technology, China. He received his Ph.D. degree in Industrial

Engineering at University of South Florida in 2000. His research interests include Technology and

Innovation Management, Multi-agent Simulation, Knowledge Management, and Operations Management.

Currently, he is working on the behavioral modeling of the processes of Inventions with knowledge network

representations. He has 14 years collegiate teaching experience in the field of operations research, computer

simulation, decision theories and analytical business methods at Beijing University of Technology. Dr. Ren

has published more than 40 papers in referred journals and conference proceedings and authored or

co-authored two monographs and one book series. He has been principal investigator in several research

projects funded by Beijing Municipal agencies and Ministry of Education, including the Beijing Natural

Science Foundation and Beijing Social Science Foundation. Dr. Ren won a Third Prize at 2010 Beijing

Technology Advancement Award as a key research team member. Dr. Ren is an Associate Coordinator of

Department of Management Science and Engineering in School of Economics and Management at Beijing

University of Technology, China. He is also an active member of Operations Research Society of China.

Speech Title: Dynamic Micro-Mechanism of Breakthrough Inventions Based on Multilevel Knowledge

Networks

Abstract: China has become a major patent nation, but not a strong innovation nation, as indicated by the

lack of breakthrough inventions (BI’s). In order to increase the productivity of BI’s, we have to understand

their mechanism, especially the dynamic and micro processes on individual and team levels. We tackle this

problem by integrating invention-problem specific knowledge, individual knowledge, team knowledge and

global knowledge in a multilevel knowledge network. Breakthrough inventions can then be modeled as the

dynamic searching, learning and recombining operations of the multilevel knowledge network. We design

methods for constructing such multilevel knowledge networks, propose building network models for the

mental processes, inventive schemes and thinking methods of breakthrough inventors’, modeling dynamic

micro-mechanism of breakthrough inventions and verifying the model by patent analysis and multi-agent

simulation.


16

Assoc. Prof. Yang Gao


Yang Gao is an Associate Professor of Applied Economics in School of Economics and Management at

Beijing University of Technology, China. She received her Ph.D. degree at Guanghua School of

Management, Peking University in 2015. Her research interests include Market Microstructure, and Financial

Structure. Currently, she is working on the optimization of financial industry structure. Dr. Gao has published

more than 10 papers in referred journals and conference proceedings. She has been principal investigator in

several research projects funded by National Science Foundation of China, China Postdoctoral Science

Foundation.

Speech Title: Impacts of introducing index futures on stock market volatilities: New evidences from

China

Abstract: Two index futures, the SSE 50 futures (IH) and the CSI 300 futures (IC), respectively

underlying big blue chips and medium-small stocks indexes, were launched on the same day of Apr 2015 in

China. However, due to the stock market crash they were strictly restrained four months later. This paper

examines how the introductions of IH and IC affect their corresponding stock volatilities, by adopting Hsiao

et al. (2012)'s panel data evaluation approach. Results show that IH significantly reduces the spot volatility

before (after) the crash, but its function is significantly weakened during the crash. For IC, it always fails to

stabilize the spot market and even largely magnifies the volatility during (after) the crash. Further studies

give evidence that such different intervention effects on the two markets might be attributed to the different

characteristics of their constituent stocks, in particular their different levels of speculative activities.


17

Time Schedule

Day 1: Registration: July 23, 2017 (Sunday)

10:00-17:00 Arrival and Registration (Venue: Lobby)

(1) Please print your registration form before you come to the conference.

(2) You can also register at any time during the conference.

(3) Certificate of Participation can be collected at the registration counter.

(4) Your paper ID will be required for the registration.

(5) The organizer won’t provide accommodation, and we suggest you make an early reservation.

(6) One best oral presentation will be selected from each oral session. The Certificate for the best one will be

awarded at the end of each session on July 24, 2017.

Day 2: Conference: July 24, 2017 (Monday)

Morning Session Opening Remarks & Keynote Speeches

Venue: Orchid & Jasmine Room

9:00-9:10

Opening Remarks

Prof. Yongan Zhang


9:10-9:55

Keynote Speaker 1

Prof. Jin Wang

Valdosta State University, USA

Title: On Cluster Based Multivariate Outlier Detection in Data Mining

9:55-10:25 Coffee Break & Photo Session


10:25-11:10

Keynote Speaker II

Prof. Yanqing Duan

University of Bedfordshire, UK

Title: Understanding the Use and Impact of Big Data and Analytics: Research Challenges

and Opportunities

11:10-11:55

Keynote Speaker III

Assoc. Prof. Chao Wang


Title: Financial Theory of Systems Science


18

11:55-13:00 Lunch

Venue: Hotel Restaurant

Afternoon Session Plenary Speeches & Oral Presentations

13:00-13:45

Orchid & Jasmine Room Hibiscus Room

Plenary Speaker I

Assoc. Prof. Haiying Ren


Title: Dynamic Micro-Mechanism of

Breakthrough Inventions Based on

Multilevel Knowledge Networks

Plenary Speaker II

Assoc. Prof. Yang Gao


Title: Impacts of introducing index futures on

stock market volatilities: New evidences from

China

13:45-16:30 Session 1

Theme: Finance and Economics

Session 2

Theme: IT Application and Social

Management

16:30-16:45 Coffee Break

16:45-19:00 Session 3

Theme: Business Management

Session 4

Theme: Market Analysis and Marketing

Management

19:30-21:00 Dinner Banquet


Day 3: One-day Tour: July 25, 2017 (Tuesday)

8:00-17:00 One-day Tour

Venue: Lobby


19

Session 1

13:45-16:30, July 24, 2017


Theme: Finance and Economics

Session Chair: Prof. Rani Hoitash *The time slots assigned here are only tentative. Presenters are recommended to stay for the whole session in case of any absence.

**After the session, there will be a group photo for all presenters in this session.

ID Title+ Author’s Name

Opening

Speech

13:45-14:00

The Effect of Accounting Reporting Complexity on Financial Analysts

Rani Hoitash, Udi Hoitash and Ari Yezegel

Bentley University, USA

Abstract: We investigate the association between a new XBRL based measure of accounting

reporting complexity and analyst behavior. We find that analysts are less likely to cover firms

with complex accounting. Further, increased accounting reporting complexity is associated

with lower forecast accuracy, higher forecast dispersion, and lower informativeness of

recommendation revisions. This association is attenuated when analysts have longer tenure,

greater firm-specific experience, and are focused on fewer industries. The negative impact of

complexity appears to be primarily due to complexity disclosed in the notes to the financial

statements. Investigating several complex accounts, we find that the complexity of derivatives,

fair value, and pension accounts are each negatively associated with forecast accuracy. Given

these findings, we propose a new measure of analysts’ account-specific expertise and find that

experience with derivative and fair value accounts attenuates the negative effects of complexity

in these accounts. Overall, our results indicate that accounting reporting complexity adversely

affects financial analysts’ performance, but that analyst experience and expertise can play an

important role in mitigating this impact.

BM0007

14:00-14:15

Assets and Liabilities Portfolio Optimal Model based on ES Controlled Interest Rate Risk

Hongxi Li, Guotai Chi

Dalian University of Technology, China

Abstract: Assets and liabilities management (ALM) is aimed to control the risk by matching

assets and liabilities. Interest rate risk is one of the main risks faced by banks. This paper

builds an assets and liabilities management optimal model based on Expected Shortfall aimed

to control interest rate risk. Firstly, this paper sets up a positive or negative duration gap to

increase the net value of banks when interest rate fluctuates favourably, this offsets the

shortcoming which could not increase the net value in the immunity model of zero duration

gap. Secondly, this paper establishes the constraint based on Expected Shortfall (ES) model to

control the average extreme loss created by prepared duration gap under a limit when interest

rate fluctuates unfavourably, this offsets the shortcoming of the existing research based on VaR

which could not control the all extreme loss over VaR.

BM0008

14:15-14:30

Weight Optimization Model based on the Maximum Discriminating Power of Credit

Evaluation Result

Shanli Yu, Guotai Chi

Dalian University of Technology, China

Abstract: This paper establishes a weight optimization model in credit evaluation, based on

the idea that the weight is the most optimal if the credit evaluation result after empowerment

has the maximum discriminating power to distinguish default and non-default customers, by

establishing nonlinear programming with the maximum discriminating power of the credit

scores as the objective function and the sum of weights 1 as constraint conditions. And the

optimal weight model is proved by using 1,231 small businesses samples from 28 cities of

China. The empirical results show that the discriminating power of credit evaluation result

after empowerment by the optimal weight model is the strongest when compared with three

kinds of weight models, t value, variation coefficient and mean square error. That means the

optional weight model ensure the credit evaluation after empowerment has the maximum

http://www.so.com/link?url=http%3A%2F%2Fdict.youdao.com%2Fsearch%3Fq%3Dmean%2520square%2520error%26keyfrom%3Dhao360&q=%E5%9D%87%E6%96%B9%E5%B7%AE+%E7%BF%BB%E8%AF%91&ts=1488768801&t=1171259fa2c542e2d3db0f4855e13c6


20

discriminating power, and change the disadvantage of existing research do not ensure the

evaluation result with the maximum discriminating power after empowerment.

BM0033

14:30-14:45

High Embedded Dimension Stock Data Prediction Model based on Chaotic Prediction Model

Jianding Zhou, Peiqi Zhen, Yue Zeng

Beijing Forestry University, China

Abstract: A correct understanding of the stock market volatility and its forecast for the stable

development of China stock market is of a great significance. In a fully defined system, it can

produce very complex movement changes, which are called chaos. The research shows that

there are chaotic characteristics in the stock market, and the China stock market has a chaotic

system with fractal dimension structure. The primary goal of this research is tantamount

predicting the volatility of the stock market. This paper uses one-rank local-region method and

the Lyapunov exponent prediction model which are based on Chaotic Prediction Model. The

phase space is constructed according to the characteristics of the Lyapunov index, and the

Shanghai Composite Index is predicted, based on the maximum Lyapunov exponents.

FM005-A

14:45-15:00

Health Care Expenditure and Health Outcome Nexus: New Evidence from SAARC-ASEAN

Region

Mohammad Mafizur Rahman, Rasheda Khanam

University of Southern Queensland, Australia

Abstract: This study aims to investigate a relationship between the healthcare expenditures

and three main health status outcomes (life expectancy at birth, crude death rate and infant

mortality rate) in the SAARC-ASEAN region. Using the World Bank data for 20 years

(1995-2014) in 15 countries of the region, a panel data analysis is conducted where relevant

fixed and random effect models are estimated to determine the effects of healthcare

expenditures on health outcomes. The separate effects of private and public health

expenditures were also explored. Total health expenditure, public health expenditure and

private health expenditure have significant effect in reducing infant mortality rate and the

extent of effect of private health expenditure is greater than that of public health expenditure.

Private health expenditure also has significant role in reducing crude death rate. However, the

study has not found any significant effect of health expenditure on life expectancy at birth. Per

capita income growth and improved sanitation facilities have also significant positive roles in

improving population health in the region. Therefore, healthcare expenditures, along with

income growth rate and improved sanitation facilities, should be considered as an important

determinant in improving population heath status in the region.

FM013-A

15:00-15:15

Do Cross Shareholding Relief the Risk of Stock Market Crash?

Songling Yang, Miao Wang, Tingli Liu


Abstract: The stock market crash is harmful to shareholders and investors. Does crossholding

relief the risk of stock market crash? This paper investigates the relationship between

crossholding and market crash. With a sample of A-shares listed companies in Shanghai and

Shenzhen Stock Exchange from 2008 to 2014, the result shows that crossholding significantly

alleviates the crash risk of listed companies. Moreover, the negative relationship between

crossholding and market crash is more pronounced for firms with poor performance and low

growth. This paper makes a new explanation and consequence of the impact of crossholding in

the market crash.


21

FM017

15:15-15:30

Research on Influences and Coping Strategies of Carbon Emission Reduction

Policy——Taking Beijing Bus Company as an Example

Lixiang Zhao, Jing Tang


Abstract: With the continuous development of economy and income of the residents, people's

living standard has been improving. But the people's living environment hasn’t improved as

well. Greenhouse gases, especially CO2 emissions, have been increasingly caused a variety of

environmental problems, and how to solve these environmental problems has become the focus

of attention of scholars. Carbon reduction policies is an important means to reduce carbon

emissions. Taking Beijing city as an example, under the influence of the carbon emission

reduction policy to Beijing City, Beijing public transport group how to develop coping

strategies, to ensure its stable development, reduce carbon emissions at the same time. We will

make an in-depth research on this problem in this paper.

FM024

15:30-15:45

Evaluating the Level of Urban Infrastructure Economic Benefit: Case Study of Beijing, China

Yin Cui

Tianjin University, China

Abstract: The economic benefit of urban public infrastructure is the positive influence on the

urban economy system generated by the use of urban infrastructure. This paper decomposes

urban infrastructure economic benefit into four effects which include consumption effect,

investment effect, government purchase effect and external demand effect for the first time and

evaluate the level of urban infrastructure economic benefit taking Beijing for example. We

analyzed the level of urban infrastructure economic benefit by entropy method. The result

showed that the urban infrastructure economic benefit of Beijing was at the different level in

different years. The change of it was in an obvious fluctuating trend. It should be improved in

the future.

FM101-A

15:45-16:00

Is Natural Resource a Curse or Blessing?-The Case of Mongolia

Bolor Narankhuu

Ryerson University, Toronto, Canada

Abstract: Mongolia, a young north-east Asian democracy, has become a hotspot for mining in

the region, and the Mongolian mining industry has been playing an increasingly important role

in the economy. This paper analyzes the effects of the mining boom on the socio-economic

development and political institutions of Mongolia. The rapid development of the mining

sector of Mongolia has impacted very differently on the overall macroeconomic and social

development as well as governance and institutions. Analyzing the linkages of the mining

sector to the four (real, fiscal, monetary, and external) economic sectors we found out that the

mining sector rapid development created significant fiscal and monetary imbalances in the

macro economy. Moreover, based on the Transparency International’s Corruption Perception

Index and the Global Governance Indicators developed by the World Bank, we claim that the

institutional quality and governance in Mongolia have deteriorated noticeably at the same time

when Mongolia started experiencing the very favorable global commodity markets. The bright

side, however, was that the mining sector contributed extensively to reduce the poverty rate in

Mongolia from 40 percent to 21 percent.

FM102-A

16:00-16:15

Financial Development and Economic Growth Revisited: Time Series Evidence

Ariuna Taivan

University of Minnesota Duluth, USA

Abstract: This paper examines the causality between financial development and economic

growth for over 80 countries around the world with different levels of per capita income during

1970-2014. I employed the vector autoregression (VAR) approach to conduct Granger

causality tests to determine the direction of causality relationship between financial

development and economic growth. The results provide evidence of two of the three main

views on the link between financial development and economic growth: the supply leading


22

theory (financial development causes economic growth or positive causality); and the demand

following response (economic growth causes financial development or reverse causality). The

results of this study suggest that: 1) there is a strong evidence that causality exists between the

financial development and economic growth, 2) direction of causality is bidirectional in

countries with higher GDP per capita; 3) an evidence of positive causality running from

finance to real sector growth for middle- and low-income countries. The findings are consistent

with earlier literature in that the direction of causality may be country specific. However, it

does not fully support King and Levine’s (1993a) conclusion that finance is a leading sector to

long run economic growth. The findings of this research give some further guidance as to

whether a well-developed financial sector is a necessary condition for a higher growth rates for

developing countries and provide an important policy implication both for OECD countries as

well as for countries that have financial sectors that are comparatively underdeveloped.

FM401

16:15-16:30

Determinants of Balance of Trade in the Sri Lankan Economy

Erandi Weerasinghe, Tissa Ravinda Perera

University of Colombo, Sri Lanka

Abstract: The Balance of Trade Deficit in Sri Lankan economy has experienced over the past

four decades and this paper examines to identify the macroeconomic variables that impact to

such situation. Thereby, this study mainly focused on four exogenous variables including an

endogenous factor which might be affected to the external balance of an economy. The model

used in this study is developed for First order autoregressive process as used by the most of the

studies carried out in the recent past relating to this area, by using the quarterly data from the

2000Q1 to 2015Q2. According to the empirical results, it was observed that Gross Domestic

Product, Volumes of Imports and Inflation rate have a significant impact to the Balance of

Trade deficit in Sri Lankan economy and nominal exchange rate and direct foreign investments

have not influence to the current situation of external trade. The most interesting findings of

the study is that positive relationship of exchange rate with the trade balance which has not a

significant factor and this results is not supported by the latest studies carried out for the

developed as well as developing countries in this area. Thereby, it can be concluded that the

policy measures taken during the past four decades of Sri Lankan economic history for the

exchange rate is less influence in terms of rectifying external balance problem in Sri Lanka.




23

Session 2

13:45-16:15, July 24, 2017

Venue: Hibiscus Room

Theme: IT Application and Social Management

Session Chair: Prof. Yu-cheng Lin *The time slots assigned here are only tentative. Presenters are recommended to stay for the whole session in case of any absence.



Opening

Speech

13:45-14:00

Applications of Civil Information Modeling (CIM) for Constructability Review in Railway

Construction Projects

Yu-cheng Lin, Chia-Pin Yen, Hsin-Tzu Hu

National Taipei University of Technology, Taiwan

Abstract: Usually, constructability analysis usually be reviewed and applied using 2D CAD

drawings for railway construction. The constructability analysis using 2D CAD drawings

usually cause time-consuming problems and problem misunderstandings. Furthermore, this

situation always makes the inconvenient of engineer and managers and also decreases the

efficiency in constructability work. Civil information modeling (CIM) is the latest concept and

technology in construction engineering. The main function of CIM includes presenting and

simulating construction operations by 3D model, and making constructability analysis by 3D

CIM models. In order to enhance the performance of constructability analysis, this study

proposes a CIM-based constructability analysis approach for general contractors during the

construction phase. The proposed approach is then applied in the Taiwan railway construction

projects to demonstrate the effectiveness of CIM-based constructability analysis in practice.

Finally, this study identifies the benefits, limitations, and facing problems through the real case

study. Finally, conclusion and suggestion are summarized for further applications.

BM0009

14:00-14:15

Exploring Barriers Underlying College Students’ Adoption of MOOCs

Long Ma, Chei Sian Lee

Tianshui Normal University, China

Abstract: MOOCs (Massive Open Online Courses) promise huge benefits to students by

delivering free course content anytime anywhere. The access to MOOCs will be beneficial to

students worldwide especially those in developing countries and regions. However, in contrary

to its projected vision, the adoption rate among students is still very low. The purpose of the

present study is to investigate the barriers that hinder students from using this educational

innovation. Specifically, Innovation Resistance Theory is applied as the theoretical foundation,

in which barriers derived from usage, value, risk, tradition and image are examined. By

conducting focus-group interviews with 69 college students, usage barrier and tradition barrier

were the most quoted obstacles to MOOC’s adoption among college students, followed by

value barrier and image barrier. Risk barrier was the least mentioned obstacle. In addition, our

results identified some additional factors (e.g., lack of self-control, publicity) which were not

included in innovation resistance theory but showed significant explanation power towards

students’ resistance to MOOCs. Implications and suggestions are discussed at the end of the

paper.

BM0016

14:15-14:30

Research on Adverse Drug Reaction Recognitions based on Conditional Random Field

Qingping Song, Bing Li, Yuyang Xu

University of International Business and Economics, China

Abstract: With the advent of the information age and the development of Internet plus medical

treatment, how to utilize the existing information technology to improve the recognition

efficiency of adverse drug reactions and reduce the monitoring costs is of great significance.

This paper treats adverse drug reactions as named entities based on the discriminant model of

Conditional Random Field, and designs a recognition framework based on social media. In the

experimental part, adverse drug reactions are identified by mining the user's tweets on the

Twitter, and seek to further improve the accuracy and normalization by mapping them to the


24

existing dictionaries. The results show that the recognition mechanism provides a certain

reference for medical text mining, which contributes to promoting the process of medical

informatization.

BM0039

14:30-14:45

Content Analysis and Spatial Analysis: A Case Study of Public Satisfaction of Indonesia

National Health Insurance

Ariph Satyanagara, Isti Surjandari,

Universitas Indonesia, Indonesia

Abstract: Indonesia as a country has an obligation to ensure the wellbeing of its citizen by

administering protection for each and every one of its citizen from all backgrounds. Said

protection should not only accommodate security and legal protection; However, it should also

incorporate health protection in the form of healthcare. Based on this premise, a national scale

program called Jaminan Kesehatan Nasional (JKN) was established. This then led to the

forming of the JKN organization called Badan Penyelenggara Jaminan Sosial (BPJS), which

has been running since January 2014. Overall, citizens have benefited from the initiation ever

since it started operation. Nevertheless, an opinion poll conducted by Kompas in 2015,

indicates that there are 42.9% unsatisfied BPJS users, 39.1% satisfied BPJS users, while the

remaining have no answers. On the grounds that two years have passed since the poll, a new

research is necessary in effort to examine deeper on the citizens’ sentiments about this

healthcare program. This research uses a content analysis approach to determine the portion of

opinions relating to the user experience and sentiment in order to illustrate the user’s opinion

on the service quality that Badan Penyelenggara Jaminan Sosial (BPJS) provides. The program

used in this research works based on the principle of Automated Content Analyses. The Twitter

reviews by BPJS users are utilized to represent opinions from different provinces.

Consequently, the result of this sentiment analyses reveals that the areas related to reliability,

tangibles, access to payment, and medical services are still dominated by negative responses.

The result of this assessment can be integrated into the evaluation process towards improving

the quality of BPJS as one of the supporting aspects of the Indonesian citizens’ health.

BM0041

14:45-15:00

Classifying Indonesian Online Articles as Advertisement Placement Base Using Text Mining

Nadhira Tasya, Arian Dhini


Abstract: Rapid development in technological aspect resulting in growing level of human

needs for the latest news, so that emerged a new trend of publishing and accessing news

through online media or usually called online journalism. In addition, the number of people

who sell and purchase through online sites also continues to increase and this opportunity is

utilized by the company and the advertiser by implementing targeted web advertising.

However, the high number of articles that have been published and accessed leads to great

opportunities for errors in determining where to place the ads. Therefore, it needs a system that

can categorize articles accessed by users as the basis of advertisement placement by the

company and this classification system can be done by applying the method of Data Mining

and Text Mining. This research uses document data in the form of article content that will be

categorized into twenty categories of class of advertisement by using Text Mining technique

with Support Vector Machine algorithm. The results of this study may be used by companies or

advertisers as a basis for placement of ads on selected online media sites.


25

BM1003

15:00-15:15

Hollywood Star Power and Securitainment as a Potential Response to Fears of Cyber Crimes

Ruifang Hope Sun

State University of New York, USA

Abstract: This presentation will discuss how Hollywood has long specialized in the use of fear

as a way to engage and entertain its audiences and how many contemporary films offer stories

that focus on a cybercrimes.

The presenter will explore how cybercrimes have been portrayed in several films since the

early 1983 to 2014, and look at some of the common themes in these films. The presenter will

then focus on the narratives of top 5 conventional Hollywood thrillers, namely, Algorithm

(2014), Blackhat (2015), Fith Estate (2013) and a couple of other files. The presenter will look

at how these movies tap into contemporary fears about technology and how they affect the

public’s perceptions about cyberattack. In addition, the presenter will ask whether there is a

place for film and television to support a different way of understanding potential cyber

threats, and to act as a form of “edutainment,” or “securitainment,” that is, to help educate the

public about appropriate strategies and responses to deal with potential threats.

BM1004

15:15-15:30

Study on Application of PSO with Time Window for User Recommendation in Research Social

Networks

Rui Hu, Chao Zhang, Xinliang Han

Beijing City University, China

Abstract: This paper proposed an optimized solution for user recommendation in research

social network. The major method applied was PSO with time window combined with

K-means clustering. The time window was brought in to raise the accuracy of optimal solution

searching and locate better cluster centers. The test showed that the PSO with time window

improved the accuracy by 95% although 18% more time were cost. The empirical experiment

indicated that this integrated algorithm could identify the similar user accurately, and it’s

valuable in practice.

BM1026

15:30-15:45

Establishment of Business Intelligence and Big Data Analysis for Higher Education

Michael Yao-Ping Peng, Sheng-Hwa Tuan, Feng-Chi Liu

Hsuan Chuang University, Taiwan

Abstract: The applications on business intelligence and big data analysis to extract useful

information are getting more mature, but the development and operations in higher education

institutions are still be lack. This study aims to explore how HEIs employ business intelligence

to analysis and mining student learning and HEIs’ operation data from database. The outcomes

are benefit for universities to support the management of decision-making.

FM007

15:45-16:00

Development of a New Model for Electricity Demand Forecasting

Yuqing Zhang, Betty Wang

Ningbo Xiaoshi High School, China

Abstract: When electricity sectors were regulated, utility monopolies used short-term load

forecasts to ensure the reliability of supply and long-term demand forecasts as the basis for

planning and investing in new capacity. However, since the early 1990s, the process of

deregulation and the introduction of competitive electricity markets have been reshaping the

landscape of the traditionally monopolistic and government-controlled power sectors. In many

countries worldwide, electricity is now traded under market rules using spot and derivative

contracts.[3] At the corporate level, electricity load and price forecasts have become a

fundamental input to energy companies’ decision making mechanisms. The costs of over- or

under contracting and then selling or buying power in the balancing market are typically so

high that they can lead to huge financial losses and bankruptcy in the extreme case. In this

respect electric utilities are the most vulnerable, since they generally cannot pass their costs on

to the retail customers.

While there have been a variety of empirical studies on point forecasts (i.e., the "best guess" or

expected value of the spot price), probabilistic - i.e., interval and density - forecasts have not

https://en.wikipedia.org/wiki/Deregulation

https://en.wikipedia.org/wiki/Electricity_market

https://en.wikipedia.org/wiki/Spot_contract

https://en.wikipedia.org/wiki/Derivative_(finance)

https://en.wikipedia.org/wiki/Energy_forecasting#cite_note-3

https://en.wikipedia.org/wiki/Bankruptcy

https://en.wikipedia.org/wiki/Electric_utility

https://en.wikipedia.org/wiki/Probabilistic_forecasting


26

been investigated extensively to date. However, this is changing and nowadays both

researchers and practitioners are focusing on the latter.[8] While the Global Energy Forecasting

Competition in 2012 was on point forecasting of electric load and wind power, the 2014

edition aimed at probabilistic forecasting of electric load, wind power, solar power and

electricity prices.

This study follows the Monash Electricity Forecasting Model (MEFM) to predict the

probability distribution of electricity demand.

The model has been used to forecast the probability distribution of annual, seasonal and

weekly peak electricity demand and energy consumption for various regions of the National

Electricity Market (NEM, the Australian wholesale electricity market that covers the

electrically connected states and territories of eastern and southern Australia, and the

associated synchronous electricity transmission grid), the SWIS of Western Australia and the

Keilor Terminal Station in Victoria. Short-term forecasting software has also been developed to

forecast half-hourly electricity demand (up to seven days ahead) in South Australia and

Victoria.

First of all, the relationships between demand and the driver variables, including temperatures,

calendar effects and some demographic and economic variables, are estimated using

semi-parametric additive models (Ruppert, Wand, and Carroll, 2003). In the second stage, the

forecast distributions are obtained from the estimated model using a mixture of temperature

and residual simulations, and future assumed demographic and economic scenarios. Finally, to

evaluate the forecasting performance of the model, the actual demands of a summer with two

different types of predictions (ex ante forecasts and ex post forecasts) are compared.

FM016-A

16:00-16:15

Uses of Management Control Tools: Study on the Adaptation of Classifications to the Public

Sector

Nicolas Petit, Gulliver Lux

Sino-french Institute, Renmin University of China

Abstract: The purpose of this study is to focus on different types of management control tools

uses in public organizations. Burchell, Clubb, Hopwood, Hughes, and Nahapiet’s (1980) table

provides a typology of the organizational role of management control tools, which help clarify

how they work within organizations. This study determines whether the table matches the

specificities of public sector organizations.

On the basis of survey interviews, the different uses specified by managers of these

organizations are compared with Burchell and al’s table and Gioia’s methodology of analysis is

used.

The study results in a discussion of our findings.

First, we observe that despite their existence in the organization, even though there is a tool, it

will not necessarily be used – or increasingly used. It correspond to the result of studies on

information systems (Wyatt et al., 2003) and sociology studies (Jauréguiberry, 2010, 2012).

Thus, we propose to include and study the “non-use” to the analysis of management tool uses.

Secondly, we think that there is continuity between the different uses. The tools are used in

several ways, which thus makes them switch from one category of Burchell and al’s table to

another. This multi-use can even be simultaneous – there can also be a modification of the type

of use of the tool over time within a “life cycle,” which makes it evolve. Seeing tools has

having only one purpose seems to be a simplistic view, maybe related to the difficulty of

clearly identifying cause and effect relationships in an organization.



https://en.wikipedia.org/wiki/Energy_forecasting#cite_note-8

https://en.wikipedia.org/wiki/Global_Energy_Forecasting_Competition

https://en.wikipedia.org/wiki/Global_Energy_Forecasting_Competition

https://en.wikipedia.org/wiki/Australia

https://en.wikipedia.org/wiki/Electricity_market

https://en.wikipedia.org/wiki/Wide_area_synchronous_grid

https://en.wikipedia.org/wiki/Electric_power_transmission


27

Session 3

16:45-19:00, July 24, 2017


Theme: Business Management

Session Chair: Assoc. Prof. Haiying Ren *The time slots assigned here are only tentative. Presenters are recommended to stay for the whole session in case of any absence.



BM0014

16:45-17:00

Information Contents and Mediating Effects of Intellectual Capital and Financial Capital on the

Corporate Value Relevance of Business Strategy

Kuo-An Tseng, Shu-Hua Wang, Ching-I Lin, and Shih-Hung Tai

Lunghwa University of Science and Technology, Taiwan

Abstract: This research aims to explore the information contents of business strategy (BS),

intellectual capital (IC) and financial capital (FC) on corporate value, the mediating effects of

IC and FC on the corporate value relevance of BS, and the moderating effects of quantitative

easing (QE) monetary policy. This research combines the knowledge domains of strategy, IC,

and finance. The Strategy-Structure-Performance framework and structural equation modeling

are utilized to explore the corporate value relevancies as well as the mediating effects. The

research subjects are the information technology companies listed in the Taiwan Stock

Exchange, and the period covers thirteen years. Hot money flowed into the capital market

because of QE, and these subjects are further split into two sub-periods to check whether the

corporate value relevance differ between pre-QE and post-QE. The results show that the

mediating effects of IC and FC on the corporate value relevance of BS are confirmed, and the

information contents and corporate value relevancies of BS, IC, and FC are also demonstrated.

The significant differences are observed in the relationship among BS, IC, FC, and corporate

value between pre-QE and post-QE. The direct information content of BS on corporate value

and the mediating effects of IC and FC, which differ between pre-QE and post-QE, indicate the

moderating effects of the QE monetary policy on corporate value relevance, thereby supporting

the managerial contingency perspectives. The managerial meanings of these results emphasize

the importance of timing, and the related changes in the environment must be considered when

formulating industrial policies, conducting strategic management, and performing business

valuation.

BM0017

17:00-17:15

Analysis of Evaluating Dimensions of Chinese Express Hotels based on User Generated

Content

Jingxuan Zhang, Bing Li, Fei Teng, Can Cui, Yikai Deng

University of International Business and Economics, China

Abstract: As a burgeoning accommodation in Chinese tourist industry, Express Hotels enjoy a

steady improvement in their market share in recent days. In the meantime, the customers’

reviews on Express Hotels in tourism forums increase rapidly. However, there are few research

analyzing the customer focuses and satisfaction of the Express Hotels using their online

reviews. Therefore this study aims at clustering different review dimensions of user generated

content on Express Hotels, and analyzing satisfactions of each dimension through a text

clustering method using semantic similarity, and then gives some advises to management of

the Express Hotels and user generated content(UGC).

BM0018

17:15-17:30

Correlation Analysis between the Products Involvement and Audience Satisfaction of the Web

Fiction-adapted Teleplay

Wenfeng Liang, Hongjie Chen, Xiaoran Ti, Lushan Guo

Beijing Institute of Graphic Communication, China

Abstract: To understand audience’s satisfaction and product involvement of the web

fiction-adapted teleplay and promoted the teleplay profit, based on questionnaire survey, the

reliability, factor, descriptive, relevance and cluster analysis were conducted through the SPSS

with demographic variables, viewing habits as independent variables and audience’s


28

satisfaction and product involvement as dependent variables. The results showed that: the

satisfaction of the audience was positively correlated with product involvement, and there were

diversities between watching habits and the audience’s satisfaction and product involvement.

Gender, age, educational level and occupation had no effect on product involvement, but there

were significant diversities between the audience’s monthly cost, viewing habits and product

involvement. Gender, age, monthly cost, occupation had no impact on satisfaction, but there

were significant diversities between the audience’s educational level, watching habits and

satisfaction.

BM0038

17:30-17:45

A Transitivity Analysis of On-line Product Descriptions—A Case Study of Book Product

Descriptions

Huan Wang, Lei Zhao, Jianhua Jiang

Jilin University of Finance and Economics, China

Abstract: Transitivity is a very important linguistic term in Systemic-Functional Grammar.

Many scholars gradually start applying transitivity system into discourse analysis, especially in

literature works, news and speeches. Taking the transitivity system as the theoretical

framework, this paper describes the transitivity distribution of on-line book product

descriptions by employing a combination of qualitative and quantitative research methods. It

has been found that the occurrence rate of transitivity distribution, material processes and

relational processes are the most frequently used processes; whereas, verbal processes and

mental processes are the subordinate processes with lower occurrence rate; behavioral

processes and existential processes never occur. This research testifies the feasibility and

adaptability of the appliance of Systemic-Functional Grammar in book product descriptions

and provides a new perspective for discourse analysis.

BM0046

17:45-18:00

How can Risk Propensity Mediate the Effect of Trait Anxiety on Entrapment Behavior?

Somayeh Khoshsoroor, Dapeng Liang, Ehsan Chitsaz, Hanieh Alizadeh

Harbin Institute of Technology, China

Abstract: Despite the importance of understanding the team’s aspects of organizational

decision-making, prior research has paid scant attention to the role of teams in escalation of

commitment. This article attempts to fill this gap by examining the relationship between team’s

trait anxiety and escalation of commitment. Furthermore, this study extends research on team’s

escalation behavior by investigating the mediating role of risk propensity in teams. Our results

demonstrate the risk propensity mediate the relationship between team’s trait anxiety and

escalation of commitment. Practical implications and some limitations has discussed.

BM1021

18:00-18:15

An investigation into External Environment Factors affecting Performance of Small and

Medium Enterprises in Cote d’Ivoire

Diabate Ardjouman, Lariaa Mingaine

Shanghai University, China

Abstract: The purpose of this paper is to investigate into the external environment factors

affecting performance of SMEs in Cote d’Ivoire. This was designed to provide greater

understanding of the impact of environmental changes specifically as they relate to SMEs. This

study was conducted through a descriptive research. SMEs were selected using stratified

sampling method. The selected SMEs are from various sectors including food, curio, textile,

beverages, and services. Questionnaire was used as the main tool for collecting data. The

findings revealed that several external factors ranging from political, economic, technological,

socio-economic and government policies affects the performances of SMEs to a large extent.

This study therefore recommends that the government should make sure there is conducive

political environment so that the SMEs could thrive. It should also play a leading role in

educating SME practitioners on the incentives available to them and how to access them.


29

FM022

18:15-18:30

The Impacts of Product Packaging Elements on Brand Image And Purchase Intention-An

Empirical Study of Phuc Long’s Packaged Tea Products

Mai Ngoc Khuong, Nguyen Thi Huyen Tran

International University - Vietnam National University, Ho Chi Minh City

Abstract: This research aimed to examine the effects of product packaging on purchase

intention through the mediating role of brand image, with the example of Phuc Long’s

packaged tea products. Quantitative approach is applied with the sample size of 410 consumers

living in Ho Chi Minh City (HCMC), Vietnam. The results showed that packaging font,

picture, shape and color have direct and indirect associations with purchase intention whereas

product information, ease of use and handle have indirect ones. However, material and size do

not have any influences. Suggestions are given to develop a differentiated packaged for tea

products by: (1) using eye-catching pictures and (2) vivid colors, (3) designing a good

packaging shape, (4) carefully choosing the amount of product information, and (5) designing

an easy-handling, or -opening and -closing, or -disposing package.

FM026

18:30-18:45

The Impact of Atmospheric Factors on Repurchase Intention at Upscale Restaurants in Ho Chi

Minh City, Vietnam

Mai Ngoc Khuong, Dao Ngoc Quynh

International University - Vietnam National University, Viet Nam

Abstract: This study aimed to explore the atmospheric factors that impact customer

repurchase intention at upscale restaurant, thus, provide learning and recommendations for

restaurant owners in Ho Chi Minh City to adjust marketing strategy. In relevant to Ho Chi

Minh context, this study conducted the research of 6 main factors including: Sight, Scent,

Touch, Menu, Music and Social Factors with totally 15 sub-factors with 82 items. Based on the

result of Regression Analysis, there were 5 remaining variables influencing Repurchase

Intention at upscale restaurant namely 1) External Facility from Sight, 2) Congruent Scent

from Scent, 3) Menu, 4) Music background from Music and 5) Employee Attitude from Social

Factors. These accounts for 59.7% of Repurchase Intention.

FM202

18:45-19:00

Corporate Social Performance: A Multi-Stakeholder Analysis of Indonesian Energy

Companies’ Sustainability Report

Amelia Kurniawati, TMA Ari Samadhi, Iwan Inrawan Wiratmadja, Indryati Sunaryo, Rayinda

Pramuditya Soesanto, Fadel Muhammad

University Telkom, Indonesia

Abstract: Energy companies in Indonesia hold an important role in the Indonesian economy.

Related to their important roles and responsibility in maintaining corporate sustainability in

managing the business that related to non-renewable resources, energy companies in Indonesia

publish their Sustainability Report as their commitment to providing information for

stakeholders on corporate governance, performance, and strategy. As a part of performance

measurement, energy companies in Indonesia also consider the importance of

multi-stakeholder perspective in the making of a sustainability report. Performance

measurement which involves multi-stakeholder is known as Corporate Social Performance.

The purpose of this research is to develop the CSP measurement indicators from the

multi-stakeholder perspective, to identify the most and the least discussed indicators in the

sustainability reports of seven energy companies in Indonesia from the latest three years

reports, and then to be compared with sustainability reports from two automotive companies

and two cement companies. The result of this research are developing CSP measurement

consisting of 38 indicators that categorized into six categories, which are customer focused,

community focused, shareholder focused, supplier focused, an environment focused, and

employee focused. The most discussed indicators in Sustainability Reports of energy

companies in Indonesia are in environment focused category and the least discussed indicators

are in supplier focused category.




30

Session 4

16:30-19:00, July 24, 2017

Venue: Hibiscus Room

Theme: Market Analysis and Marketing Management

Session Chair: Prof. Jin Wang *The time slots assigned here are only tentative. Presenters are recommended to stay for the whole session in case of any absence.



BM0010

16:30-16:45

Online Purchase Intention based on TAM and IAM: A Literature Review

Yu Wang

Tohoku University, Japan

Abstract: With the popularity of Internet and the appearance of e-commerce, the issue about

how to affect the purchase intentions of Internet users becomes one of the most popular topics

in the research field of consumer behavior. Obviously, understanding the relevant mechanism

contributes greatly to utilizing the influential factors to affect consumers. Among relevant

researches, the researches based on the Technology Acceptance Model (TAM) and Information

Adoption Model (IAM) are representative, valuable and practical. Hence, this article analyzes

and summarizes the existing studies using TAM and IAM for studying online purchase

intention respectively by dividing those studies into different categories: 1) using original

model, 2) adding variables into the model and 3) building up complex models based on the

model. Finally, implications are provided for future research and applications.

BM0023

16:45-17:00

An Investigation on Online Shopping Behaviors in the Singles Day: The Role of Gender

Qingyu Zhang, Cui Li, Chunling Zhang, Kang Wang

Shenzhen University, China

Abstract: With the development of science and technology, more and more people start to buy

goods online, especially in “The Singles Day” promotion. This paper mainly analyzed the

influence of gender differences on online shopping behaviors in “The Singles Day” of 2016.

The model was tested by an empirical analysis. Data were collected through online

questionnaire survey. 287 responses were received with 29 invalid resulting in 258 usable

returns. The results indicated that males were more likely than females to be convenience

seekers, rational buyers, and have high risk aversion. Female online buyers had a higher level

of propensity to trust. Based on these results, some suggestions are proposed to the owner of

online stores.

BM0025

17:00-17:15

Market Structure and Competitive Behavior of China’s P2P Lending Industry

Kai Qiao, Yihan Dong, Peiwu Dong

Beijing Institute of Technology, China

Abstract: This paper calculates the industrial concentration ratio (CR) and

Herfindahl-Hirschman Index (HHI) of China’s P2P lending industry and explores the

competitive behavior between P2P lending platforms. We find the concentration degree of the

industry is very low in June 2015, which implies the competition between lending platforms is

extremely fierce and the development mode is relatively extensive at that time. After a short

period of decline, the concentration degree starts to increase in April 2016 due to the

government’s regulation. In April 2017, the market structure of the industry has changed to

oligopoly. Even so, to make the industry develop healthily, strict regulation is still needed. In

addition, we also find it is the relative strength of network externality decides which sides the

platforms make subside to. Finally, we find the reputation plays an important role in platform

development. If a platform has good reputation, it tends to raise its service fees and its one side

market share will increase with the growth of the other side market capacity. This explains the

phenomenon of “The-Winner-Takes-All” from another perspective. Since reputation is so

important in the development of P2P lending platform, we suggest building a reputation

management mechanism.


31

BM0028

17:15-17:30

Does Customer Perception really Influence Customer Retention? A Conditional Indirect Effect

Analysis

Chien Lung Hsu, Yi-Chuan Liao

Takming University of Science and Technology, Taiwan

Shandong University, China

Abstract: Mobile shopping have recently become a popular trend on the internet, and are

quickly becoming one of the most important social media tools. In this study, we explore the

way community connection mediates the linkage between user perception and customer

retention in microblogs. It further develops a moderated mediation model to argue the

mediating effects are moderated by community adaptivity. A sample comprise 543 consumers

is utilized in the analyses. A moderated mediation approach reveals the mediating role of

community connection on the link between perceived usefulness and customer stickiness;

however, this mediating effect cannot be moderated through community adaptivity. On the

other hand, the results indicated the relationship between the perceived ease of use and

customer stickiness is not mediated by community connection. However, after considering the

moderating effect, our results indicate moderated mediation exists. In sum, we illustrate how

membership mediates the relationship between user perception and customer retention, and

how the mediating process varies as a result of the functionality of the adaptive system.

Second, we contribute to internet marketing literature by showing how membership plays a

crucial mediating role by creating a sense of belonging and bonding together, thus creating

customer value in the virtual community of the microblog. We further discuss the use of

adaptive systems to generate different mediating processes, which emphasizes the requirement

for customized messages to fit customer needs and deliver more valuable information for

users.

BM0029

17:30-17:45

The Like Economy: The Impact of Interaction Between Artists and Fans on Social Media in

Art Market

Xin Kang, Wenyin Chen

National Taipei University of Technology, Taiwan

Abstract: In the mobile web era, the growth of art is also due to the social media showing a

differentiated development. Instagram and Facebook are increasingly influencing what art

people buy. This paper explores the development of art by analyzing the artist’s data on

Instagram and artwork purchaser questionnaire in the online art market. From this, discuss the

complex interactive between “We Media” artists and their fans influence the art-market, and

conceptual them as a part of so-called “Like Economy”.

BM0030

17:45-18:00

Intelligent Smart Bait Fishing: A New Mobile App Business Model

Yueliang Lu, Fadi Thabtah

Nelson Marlborough Institute of Technology, New Zealand

Abstract: New Zealand has a long history of fishing, being an island nation. Almost 20% of

the population favors recreational fishing. Knowing the best fishing spots and type of bait, in

addition to the right time of day, are the keys to the success of catches. Having this information

on a mobile app would be useful to anglers. There are many fishing apps available from the

iTunes app market. However, after investigating the existing iTunes app store, there is no

highly integrated app with social capability and fishing functionality available. This article

proposes a new fishing mobile application that adopts Apple SWIFT technology, which

supports the Windows and Linux platforms, to ensure its future sustainable development.

Social network capability of this app includes a bite-time check, fishing trip arrangement,

statistics, and a fishing knowledge base. By using the proposed app, the anglers can share their

fishing activity with family and friends by simply synchronizing the post to social media.

Moreover, government or non-government agencies can share the movement and distribution

of marine wildlife by analyzing the available information collected by the app.


32

BM0042

18:00-18:15

Classifying Purchase Decision based on User Clickstream in E-Commerce Using Web Usage

Mining

Surya Yehezki, Arian Dhini


Abstract: The advance of internet usage in Indonesia gives positive impact on the

development of e-commerce in Indonesia where 63.5% of internet users have made online

transactions. Along with e-commerce B2C growth in Indonesia, firm needs for an effective

promotional strategy to understand the preferences and potential purchases for each consumer

to increase return on investment (ROI). This empirical study investigated purchase decision of

e-commerce users using Web Usage Mining framework. The high combination of purchasing

product categories by users of e-commerce website required a multi-label classification

technique that could classify those pair of purchase decision. Label Powerset method with

Support Vector Machine (SVM) algorithm was applied to classify e-commerce users purchase

decisions using general and detailed information features. Feature selection using Information

retained 60 from 90 features. The proposed feature selection with Information Gain and

parameter selection using Grid Search proved that they had an ability to enhance performance

to classify purchase decision of e-commerce user. Radial Basis Function (RBF) as the most

effective kernel presented an accuracy of 75.6%, with slightly difference of 2.2% with

classification without using feature selection.

BM0043

18:15-18:30

Identifying Consumer Buying Behavior Differences through Market Basket Analysis in

Multiple Outlet Types

Nurfitriana Tri Utami, Isti Surjandari


Abstract: Retail business in Indonesia is growing rapidly and it causes a sales competition

conducted by retailers. Therefore, a strategy is needed to expand the consumer market. In order

to expand the current market, companies need to pay attention to customer satisfaction that will

affect the sustainability of product purchasing activities. Market basket analysis is done to

extract consumer buying behavior by identifying the associations of various products that

consumers put on the shopping basket. This study was conducted to observe whether outlet

type affects consumer buying behavior. There are two types of outlets based on their placement

locations, which are outlets located within shopping centers and stand-alone outlets. The data

used in this study was taken from customer purchase transactions database. Since the purchase

transactions made by consumers were large, then data was processed using data mining

techniques. Apriori algorithm was applied for finding frequent item-set. The minimum support

used in data processing was 12%, while the minimum confidence used was 70%. Based on

these results, it can be concluded that the pattern of consumer purchases in outlets within the

shopping center was making a purchase with a few number of product category combinations,

while in stand-alone outlets were engaged in transactions with the number of combinations of

more product categories. The difference can be observed from the association pattern

generated from each type of outlet. By knowing the pattern of consumer purchases at each

outlet viewed from the product association, the company can determine the right strategy to

increase the market for each type of outlet.

BM1022

18:30-18:45

Shopping Environment: A Preliminary Investigation of Gulf Tourists’ Emotion, Shopping

Intention and Word of Mouth Intention

Alalyani, Abdulrahman Saleh M, A.Y.M. Atiquil Islam, Alaliani, Reem Abdulrahman M,

Norzalita Abd Aziz Universiti Kebangsaan Malaysia, Malaysia

Abstract: Tourists’ shopping tendency has been dramatically growing and contributing to the

economic sectors around the world. However, literature indicates that the insufficient

investigations have been conducted on tourists’ shopping environment, emotion (pleasure,

arousal and dominance), word of mouth intention and their shopping intentions, especially by

focusing on Gulf Cooperation Council (GCC) tourism in Malaysia. As such, the prime aim of


33

our study was to validate the conceptual model in examining the tourists’ shopping

environment, emotion, word of mouth intention and shopping intention for GCC tourism in

Malaysia. A total of 400 GCC tourists (Saudi Arabia, Kuwait, Oman and UAE) were collected

from Malaysia using quota sampling procedure. The questionnaire of our study was developed

based on prior studies and validated using Exploratory Factor Analysis (EFA) through SPSS

version 21. The conceptual model of our study was tested applying Structural Equation

Modeling using AMOS version 18 and estimated the causal relationships among the proposed

constructs. The results of our study exhibited that shopping environment had direct influence

on pleasure, arousal and dominance, respectively. GCC tourists’ word of mouth intention was

directly affected by pleasure and shopping intention. Moreover, pleasure, arousal and

dominance had direct influence on GCC tourists’ shopping intention, respectively. Finally,

tourists’ shopping environment had indirect influence on shopping intention mediated by their

pleasure and dominance. The findings of our study provide a better understanding of GCC

tourists’ perceptions on shopping environment, emotion, word of mouth intention and their

shopping intention for future researchers, tourism managers and academicians.

BM1023

18:45-19:00

Modeling of Revisit Intention: An Empirical Study on Tourists’ Electronic Word of Mouth,

Destination Image and Perceived Risk

Alaliani, Reem Abdulrahman M, A.Y.M. Atiquil Islam, Alalyani, Abdulrahman Saleh M,

Norzalita Abd Aziz

Universiti Kebangsaan Malaysia, Malaysia

Abstract: Economic crisis or instability has been unexpectedly growing around the world,

whilst tourism emerges to be substantially contributing factor for overcoming this situation.

Although literature indicates that tourists’ revisit intention has not sufficiently investigated,

especially in Malaysian context. As a result, the main objective of our study was to determine

the underlying factors that affect Arab tourists’ revisit intention to Malaysia. To investigate the

tourists’ revisit intention, the present study proposed a conceptual model consisted of

electronic word of mouth, perceived risk, cognitive, affective and unique images. To validate

the conceptual model, a total of 400 Arab (Saudi Arabian, Omani, Kuwaiti and UAE, also

known as Gulf Cooperation Council) tourists were collected from several tourist spots in

Malaysia using quota sampling procedure. The validity of the survey instrument was

performed using Exploratory Factor Analysis (EFA) through SPSS software version 23. The

application of Structural Equation Modeling (SEM) was employed to analyze the data using

AMOS software version 18. The findings of our study showed that electronic word of mouth

had direct effect on tourists’ cognitive, affective and unique images, respectively. On the other

hand, cognitive, affective and unique images had direct effect on tourists’ revisit intention.

Finally, tourists’ electronic word of mouth had an indirect effect on their revisit intention

mediated by affective image, while perceived risk did not have any effect on tourists’ revisit

intention, cognitive, affective and unique images. These results contribute to the body of

tourism knowledge for future researchers, academicians and tourism managers to predict and

observe tourists’ revisit intentions as well as its underlying predictors.




34

Poster Session

FM015

Bibliometrics Analysis of Complex Networks Research

Yongan Zhang, Yiyuan Zhou,

School of Economics and Management, Beijing University of Technology, China

Abstract: This paper analyzes literatures in the field of complex networks retrieved from Web

of Science data source, using method of bibliometric analysis, visualization analysis and

analyzes the research status and development trends, including the overall growth trend,

geographical distribution, research related fields, research hotspots and boundary evolution

analysis, in order to show the research status and development trend in this field in detail.

Results indicate that: today, the research of complex networks has been into a period of

vigorous development, parts direction of the research have been reaching maturity; China's

research in the field is at the forefront level among international; As a new research field, the

basic theory of complex network are penetrating the academic disciplines, especially in the

field of computer and engineering, and reflects the characteristics of multidisciplinary cross, in

the future, complex network research will be more broad; The future research direction and

hotspot may involve complex network algorithm analysis and design, the dynamics of complex

network synchronization, a complex network structure identification and control of complex

networks.

FM020

Research on Evolution and Visualization Analysis of Application of Big Data

Zhang Yongan, Zhang Yuxiaodan


Abstract: Based on literatures relevant to application of big data included in the Web of

Science database as the data sources, this paper used CiteSpace as the research tool to visualize

the distribution of keywords, evolution of hot spots and evolution rules. After that, this paper

analyzed the hot spots, contexts, tool technologies and application fields of application of big

data, so as to reveal the current situation of researches. The study indicates that existing

researches involve a wide range of disciplines and technology is still the center of current

researches. At present, the majority of the studies all focused on the field of management,

network, information, medicine, health, environment, energy and etc. Overall, technology is

still the important part in current research on application of big data. Technical tools, such as

data mining, algorithms, cloud computing, mapreduce, hadoop, machine learning all provide

strong supports for the practical application of big data.

BM0015

Study on Users’ Adoption Behavior for Internet Chauffeured Car

Yongbo Jiang, Wenlong Zhu

Qingdao University of Technology, China

Abstract: Internet chauffeured car (abbreviated as ICC) appears under the background of

wisdom traffic. It is one of representatives of the closed-loop O2O mode, but research about its

users’ adoption behavior is not rich. Our study is based on the user’s view. Firstly, we construct

a conceptual model about the influencing factors of ICC users’ adoption behavior by

introducing unified theory of acceptance and use of technology (UTAUT) integrating with

perceived risk theory and habit theory. Secondly, we use structural equation model (SEM) to

analyze the factors’ influencing direct and extent. Results show that performance expectancy,

effort expectancy and social influence prompt the formation of ICC users’ adoption intention

significantly; perceived risk hampers the formation of adoption intention significantly; but the

expected inhibiting effect of perceived cost on adoption intention is not significant. As for

adoption behavior, facilitating conditions and adoption intention have markedly prompting

effect, and habit has notable moderating effect. The results can provide some reference for

platforms to promote their service and make related management policies.


35

BM0040

Research on Retirement Pension

Qiming Feng, Suping Qian

Wuxi Institute of Commerce, China

Abstract: This paper introduces the research on the retirement pension for retired enterprise

employees. Accordingto the simplified and reasonable assumptions about China’s economy

development and wage growth situation in the future. The prediction models on average annual

wage and shortage are established. It is concluded that the substitution rate is lower than the

target substitution rate, and the payment years for contribution is longer, the substitution rate is

greater, on the contrary, it will be difficult to achieve a balance between the sum of

contribution and the sum of retirement pension.

BM0047

Predicative Model for Uber Ridership in New York City

Shaochen Zhu, Betty Wang,

St. Mark’s School, USA

Abstract: Objective: This study aimed to build a predictive model for Uber ridership in New

York City.

Data: Uber rides data is downloaded from GitHub. The data were collected during January

2015 to June 2015 and had ridership information for all the five boroughs of New York City.

We used a random sample of 50% whole data to build a predictive model, and used the other

50% to validate the model and further used bootstrap data for model validation. Mean squared

errors (MSE) were calculated. The predicted riders and the observed riders were compared to

measure the performance of the predictive model. All the analysis was done using free

statistical software R.

Results: A total of 20490 observations including hourly ridership information were extracted

for this study. A total of 10245 observations were selected in training sample for model

building, and 10245 in test sample, and 500000 in bootstrap sample which was based on test

sample were used for model validation. A total of 7171685 riders were in training sample,

7092530 in test sample, and 345936605 in bootstrap sample. The predicted risers were

7171685 riders in training sample, 7134560 in test sample, and 348357233 in bootstrap

sample. The predictive model performed well in the split sample which was not used for

model building and bootstrap sample. The MSE was 142,866 in training sample, and 141,142

in test sample and 141480 in bootstrap sample. The observed ridership and predicted ridership

were close to each other in each month of Jan-June, in each hour, in each week day, and in

each district in New York city.

Conclusions: A predictive model was built and validated using public available data for Uber

ridership in New York city. It could be used to predict the business opportunities for Uber and

help to make an informed decision regarding resource allocation.

BM1007

The Study of Mechanism for the Impact of Professional Differences and Emergency

Cooperation on Inter-organizational Partnerships-based on the Way of Information

Transmission

Guobin Wu, Xuefei Chen, Haiyan Li

Wuhan Textile University, China

Abstract: In this paper, we discussed the effect mechanism of professional differences and

emergency cooperation on inter-organizational partnerships, validated the intermediary effect

of information transmission in professional differences and emergency cooperation, and the

moderating effects of task uncertainty in professional differences and the way of information

transmission (information forwarding and information sharing), then we proposed the

conceptual model and research hypothesis. By analyzing 255 emergency teams at all levels and

members of the investigation data, the assumptions for the model and analysis results show

that professional differences have a negative impact on emergency cooperation and

information forwarding and sharing. At the same time, information forwarding and sharing act

as an intermediary role between professional differences and emergency cooperation. Task

uncertainty has positive moderated effects between professional differences and the


36

information sharing, not the information forwarding.

BM1028

Research on the Risk Spillover Effect of China's commercial banks Based on Quantile

Regression

Shou Hui

Abstract: In this paper, I empirically study on eight different types of sample commercial

banks by CoVaR model and quantile regression techniques. The new find is that from

perspective of liquidity, the larger asset banks face higher liquidity risk, which is more likely

lead to spillover aggregation of systemic risk. However downturn in the macroeconomic cycle,

medium and small banks are more prone to risk spillover cause systemic risk. Therefore, policy

recommendations are that the banking supervisory authority focuses on not only the traditional

sizeable international banks asset, but also concerned about the medium and small banks of

excessive business growth. These banks are also systemic risk aggregation and initiator of

financial crisis.

Listeners’ List

Listener 1 Fadel Muhammad University Telkom, Indonesia

Listener 2 Priniti Panday

Roger Williams University, USA

Listener 3 Zhou Meng

Rakuten, Japan

Listener 4 Ling Li

Army Engineering University, China


37

Academic Visiting/City Visiting Beijing, formerly romanized as Peking, is the capital of the People's Republic of China and the world's third most

populous city proper. It is also one of the world's most populous capital cities. The city, located in northern China, is

governed as a direct-controlled municipality under the national government with 16 urban, suburban, and rural districts.

Beijing Municipality is surrounded by Hebei Province with the exception of neighbouring Tianjin Municipality to the

southeast; together the three divisions form the Jingjinji metropolitan region and the national capital region of China.

Here we recommend some sightseeings for you, but not the detailed arrangement.

Tian'anmen (the Gate of Heavenly Peace), is located in the center of Beijing. It was first built in 1417 and named

Chengtianmen (the Gate of Heavenly Succession). At the end of the Ming Dynasty, it was seriously damaged by war.

When it was rebuilt under the Qing in 1651, it was renamed Tian'anmen, and served as the main entrance to the

Imperial City, the administrative and residential quarters for court officials and retainers. The southern sections of the

Imperial City wall still stand on both sides of the Gate. The tower at the top of the gate is nine-room wide and five –

room deep. According to the Book of Changes, the two numbers nine and five, when combined, symbolize the supreme

status of a sovereign. During the Ming and Qing dynasties, Tian'anmen was the place where state ceremonies took

place. The most important one of them was the issuing of imperial edicts.

The temple of heaven in Beijing is located in Beijing, in the southeast of Beijing WaiCheng. Located in the south of

the palace, the south east ZhengYangMen outside. In the eighteenth year of yongle (was built in 1420). Ancient

Chinese Ming and qing dynasties emperors, praying. Area for 273 hectares. Qing dynasty emperors used to "good",

"the ceremonial buildings. The temple of heaven in Beijing area 272 million square meters, the area is also forbidden

palace (,) are two walls wall, and the altar, and major architectural form QiNianDian, huang arch, the space. The

building in the vertical axis. The altar round, the symbol of the south north wall round. In the south, the high places

round in the north, two good places on the altar with a north-south axis, the middle wall.


38

Summer Palace, located in the northwest Beijing Haidian District, 15 km from the Beijing City. Covering an area of

about 290 hectares, the existing Summer Palace is China's largest, most complete preservation of the imperial garden,

the Summer Palace, the palace was originally Qing Dynasty emperors and Garden.

Shichahai

As the saying goes, "after the shichahai lake city", also known as "houhai" Beijing quadrangles old Peking man has

always been a good place for recreation. Because of its beautiful environment, and the folk custom charm, more than

two hundred years to attract a number of senators, famous and even the relationship of people here, or government, or

built temples, more sacrifices are added profound cultural background.


39

Call For Papers

2017 8th International Conference on E-business, Management and Economics—ICEME 2017, will be held during October 27-29, 2017, in Birmingham, UK. ICEME2017, organized by IEDRC, aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of E-business, Management and Economics, and discuss the practical challenges encountered and the solutions adopted.

The conference will be held every year to make it an ideal platform for people to share views and experiences in E-business, Management and Economics and related areas.

Publication International Conference Proceedings Series by ACM, which will be archived in the ACM Digital Library, and sent to be indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

International Journal of e-Education, e-Business, e-Management and e-Learning (IJEEEE), (ISSN: 2010-3654), which will be indexed by Engineering & Technology Digital Library, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET).

Topics Topics of interest for submission include, but are not limited to: Accounting Management Information Systems Advertising Management Management Science Business & Economics Product Management Business Ethics Public Choice Business Intelligence Strategic Management

Submission Methods 1. Email: [email protected] 2. EasyChair System: http://www.easychair.org/conferences/?conf=iceme2017

Important Dates Submission Deadline Before August 25, 2017

Acceptance Notification On September 15, 2017

Registration Deadline Before September 30, 2017

Conference Date October 27-29, 2017


40

The 2017 8th International Conference on Economics, Business and Management (ICEBM 2017) will be held in Townsville, Australia during November 17-19, 2017. It aims to provide a forum for researchers, scientists, engineers, and scholar students from both the industry and the academia to share their newest research findings and results.

Publication Publication in JOEBM. Submissions will be reviewed by the conference committees and journal editorial board, and accepted papers will be published in International Journal of Economics, Business and Management (JOEBM) , which will be indexed by DOAJ, Engineering & Technology Library, Electronic Journals Library, Ulrich's Periodicals Directory, MESLibrary, Google Scholar, Crossref, and ProQuest, etc.

Topics Topics of interest for submission include, but are not limited to: Accounting Information Technology Management Advertising Management Labor Economics Change Management Management Information Systems Corporate Finance and Governance Product Management Financial Economics Public Economics and Finance

Submission Methods 1. Email: [email protected] 2. EasyChair System: https://easychair.org/conferences/?conf=icebm2017

Important Dates Submission Deadline Before August 30, 2017

Acceptance Notification On September 20 2017

Registration Deadline Before October 10, 2017

Conference Date November 12-14, 2017


41

2018 3rd International Conference on Marketing, Business and Trade (ICMBT 2018), which will be held in San Diego, USA during January 11-13, 2018 by IEDRC. ICMBT 2018, aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Marketing, Business and Trade, and discuss the practical challenges encountered and the solutions adopted.

The conference will be held every year to make it an ideal platform for people to share views and experiences in Marketing, Business and Trade and related areas.

Publication International Journal of Trade, Economics and Finance (IJTEF) ISSN: 2010-023X Frequency: Bimonthly DOI: 10.18178/IJTEF Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, DOAJ , EBSCO, and Ulrich's Periodicals Director

Journal of Economics, Business and Management (JOEBM) ISSN: 2301-3567 Frequency: Monthly (Since 2015) DOI: 10.18178/JOEBM Abstracting/ Indexing: Engineering & Technology Library, Electronic Journals Library, Ulrich's Periodicals Directory, MESLibrary, Google Scholar, Crossref, and ProQuest.

Topics Topics of interest for submission include, but are not limited to: Government Policy and Regulation Auditing Regulatory Economics Commercial law Institutional Economics Contingent Pricing; Futures Pricing Commercial Policy; Protection; Promotion; Trade Negotiations Insurance; Insurance Companies Trade and Environment Financing Policy; Capital and Ownership Structure

Submission Methods 1. Email: [email protected] 2. EasyChair System: http://www.easychair.org/conferences/?conf=icmbt2018

Important Dates Submission Deadline Before September 10, 2017

Acceptance Notification On September 30, 2017

Registration Deadline Before October 20, 2017

Conference Date January 11-13, 2017


42

2018 7th International Conference on Economics Business and Marketing Management (CEBMM 2018) will be held in Da Nang, Vietnam during February 23-25, 2018.

CEBMM aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Economics Business and Marketing Management, and discuss the practical challenges encountered and the solutions adopted.

Publication

Journal of Economics, Business and Management (JOEBM, ISSN: 2301-3567, DOI: 10.18178/JOEBM), and will be included in DOAJ, Engineering & Technology Library, Electronic Journals Library, Ulrich's Periodicals Directory, MESLibrary, Google Scholar, Crossref, and ProQuest.

International Journal of Trade, Economics and Finance (IJTEF, ISSN: 2010-023X; DOI: 10.18178/IJTEF) and will be included in Engineering & Technology Digital Library, ProQuest, Crossr ef, Electronic Journals Library, DOAJ , EBSCO, and Ulrich's Periodicals Directory.

Topics Topics of interest for submission include, but are not limited to: Accounting Economic Policy Business & Economics International Economics Business Information Systems Management Science Change Management Product Management Consumer Behavior Strategic Management

Submission Methods 1. Email: [email protected] 2. EasyChair System: https://easychair.org/conferences/?conf=cebmm2018

Important Dates Submission Deadline Before October 20, 2017

Acceptance Notification On November 10, 2017

Registration Deadline Before November 30, 2017

Conference Date February 23-25, 2018


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2018 7th International Conference on Economics and Finance Research (ICEFR 2018), which will be held during April 07-09, 2018, in Prague, Czech Republic.

ICEFR 2017 aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Economics and Finance Research, and discuss the practical challenges encountered and the solutions adopted. The conference will be held every year to make it an ideal platform for people to share views and experiences in Economics and Finance Research and related areas. For more details of the conference schedule, please feel free to contact us at [email protected].

Publication

International Journal of Trade, Economics and Finance (IJTEF, ISSN: 2010-023X, DOI: 10.18178/IJTEF) as one volume, and will be included in Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, EBSCO, and Ulrich's Periodicals Directory.

Topics Topics of interest for submission include, but are not limited to: Accounting Information Technology Management Business & Economics Labor Economics Business Information Systems Public Economics and Finance Business Law Supply Change Management Economic Policy Strategic Management

Submission Methods 1. Email: [email protected] 2. EasyChair System: https://easychair.org/conferences/?conf=icefr2018

Important Dates Submission Deadline Before December 5, 2017

Acceptance Notification On December 25, 2017

Registration Deadline Before January 15, 2017

Conference Date April 7-9, 2018


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Note


45

Note

2017 iedrc beijing conferences abstracticfme.org/history/program-2017-beijing.pdf · bm0007: assets...

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