an online flea market in higher education using c2 c e commerce model a requirements model -...

21
1 AN ONLINE FLEA MARKET IN HIGHER EDUCATION USING CONSUMER-TO-CONSUMER ELECTRONIC COMMERCE MODEL: A REQUIREMENTS MODEL Salaheddin Khiri M.Beskri 1 , Dr. Azida Zainol 2 1 Universiti Utara Malaysia, Malaysia, [email protected] 2Universiti Utara Malaysia, Malaysia, [email protected] ABSTRACT. In higher education district, college students are special con- sumers. Second hand goods are their main needs while they are in college. Thereby public e-commerce websites may not fulfill their requirements. Trustworthiness and security, between e-commerce websites’ users, are also other issues that students, as buyers or sellers, are concerned about that pub- lic e-commerce users are still paying off its repercussions. Thus, it is essen- tial to have an online flea market in higher education that specifically tai- lored to the students’ needs and demand. This study proposes a comprehen- sive requirements model that can be referred as guidelines to developing an online flea market for a higher education district. The methodology for con- structing the requirements model involves four main phases, which are theo- retical study, requirements elicitation, requirements’ analysis and requir e- ment validation. The requirements model consists of several Unified Model- ing Language (UML) diagrams, content, hypertext and presentation model- ing; as well as list of requirements and use case description. The results form the requirements validation and it is very promising. Moreover, it demonstrated a significant efficiency of the requirements model towards a higher education district. After all, this work contributes to the requirements engineering domain specifically and to the body of software engineering generally. Keywords: Online Flea Market, requirement model, C2C e-commerce INTRODUCTION E-commerce has brought the world to a new era of trading, nowadays. Using Internet be- comes easier for most people regardless their ages and incomes whereby social networks and mobile phones are the main causes. The consumer to consumer e-commerce model (C2C) refers to a concept of which exchanging a set of transactions among consumers (Du, 2005). In this model, sellers sell products directly to consumers as well as negotiations between buyers and sellers about the price of the offered products is applicable to finalize the transaction. Online marketing has dominated most traditional markets all over the world. Therefore, traders do not need to find the best location to sell goods, and that in return, save the world pollution, traffic jams, lots of money, effort and finally time (Villapol & Fuenmayor, 2007). In china, 2012, consumer-to-consumer E-commerce markets have dominated marketplaces with an 80% market share while 20% of the markets go for business-to-consumer E- commerce markets (Hoffmann, Lannes, & Dai, 2012). Therefore, the significance of E- commerce’s been increasing over the last decade and becoming more of interest of individu- als, companies and organizations to deliver their products.

Upload: struggler-ever

Post on 14-Jul-2015

225 views

Category:

Technology


0 download

TRANSCRIPT

1

AN ONLINE FLEA MARKET IN HIGHER EDUCATION USING CONSUMER-TO-CONSUMER ELECTRONIC COMMERCE

MODEL: A REQUIREMENTS MODEL

Salaheddin Khiri M.Beskri1, Dr. Azida Zainol2 1Universiti Utara Malaysia, Malaysia, [email protected]

2Universiti Utara Malaysia, Malaysia, [email protected]

ABSTRACT. In higher education district, college students are special con-

sumers. Second hand goods are their main needs while they are in college.

Thereby public e-commerce websites may not fulfill their requirements.

Trustworthiness and security, between e-commerce websites’ users, are also

other issues that students, as buyers or sellers, are concerned about that pub-

lic e-commerce users are still paying off its repercussions. Thus, it is essen-

tial to have an online flea market in higher education that specifically tai-

lored to the students’ needs and demand. This study proposes a comprehen-

sive requirements model that can be referred as guidelines to developing an

online flea market for a higher education district. The methodology for con-

structing the requirements model involves four main phases, which are theo-

retical study, requirements elicitation, requirements’ analysis and require-

ment validation. The requirements model consists of several Unified Model-

ing Language (UML) diagrams, content, hypertext and presentation model-

ing; as well as list of requirements and use case description. The results

form the requirements validation and it is very promising. Moreover, it

demonstrated a significant efficiency of the requirements model towards a

higher education district. After all, this work contributes to the requirements

engineering domain specifically and to the body of software engineering

generally.

Keywords: Online Flea Market, requirement model, C2C e-commerce

INTRODUCTION

E-commerce has brought the world to a new era of trading, nowadays. Using Internet be-

comes easier for most people regardless their ages and incomes whereby social networks and

mobile phones are the main causes. The consumer to consumer e-commerce model (C2C)

refers to a concept of which exchanging a set of transactions among consumers (Du, 2005). In

this model, sellers sell products directly to consumers as well as negotiations between buyers

and sellers about the price of the offered products is applicable to finalize the transaction.

Online marketing has dominated most traditional markets all over the world. Therefore,

traders do not need to find the best location to sell goods, and that in return, save the world

pollution, traffic jams, lots of money, effort and finally time (Villapol & Fuenmayor, 2007).

In china, 2012, consumer-to-consumer E-commerce markets have dominated marketplaces

with an 80% market share while 20% of the markets go for business-to-consumer E-

commerce markets (Hoffmann, Lannes, & Dai, 2012). Therefore, the significance of E-

commerce’s been increasing over the last decade and becoming more of interest of individu-

als, companies and organizations to deliver their products.

2

Apart from that, college students as a part of a higher education district indeed benefit

from the use of E-commerce technology in many ways. Students travel far away distances

from their hometown seeking knowledge that, as a consequence, leads to adapting themselves

with a new lifestyle in their universities for quite long time. As novices, they will start look-

ing for their personal and learning needs by contacting sellers, for instance, senior students

who are about to graduate and they have their own goods for sale. Eventually, students end up

spending a vast amount of time and money most frequently and they are restricted to the cli-

mate and the location of the market (Zhao, 2010).

Therefore, currently online flea market websites are well known and widely spread among

private organizations especially in higher education districts (Zhang & Liu, 2010). Online flea

markets are classified as unofficial websites in universities whereby students could look for

their goods or put them for sale on the website. The online flea market websites are usually

manufactured as a standalone websites (e.g., accessible on the Internet or on a Local Area

Network (LAN)).

PROBLEM STATEMENT

In many public and private places, posters are tremendously used which that ends up, un-

fortunately, in walls fully filled with posters, either invalid or still valid, and, moreover, con-

ducting physical flea markets is restricted to climate, a location and time (Wang &

Tomaszewski, 2010). As a consequence, robbery, traffic jams and left garbage on streets in

some cases are the repercussions of conducting the physical flea market (Villapol &

Fuenmayor, 2007).

Apart from that, the present revolutions of E-commerce are still of concern of researchers

in terms of security issues. Selling and buying goods online require a user to use his/her con-

fident information which that will lower the website’s reliability among the users. According

to the E-commerce report working group, 2012, reported that “lack of consumer-perceived

security and trust in vendors and payment systems is one of the main barriers to electronic

and mobile trade” and “According to Eurostat data, the main factors inhibiting the buying and

selling of goods online are concerns with the security of payments (11%), privacy (10%)”

(The European Online Marketplace Consumer complaints 2010-2011, n.d.). Therefore, the

proposed system is efficiently supported to enable students to buy and sell their goods secure-

ly and easily since there are no very sensitive and personal information regarding to payment

methods are required. Besides, the search for items is faster and more convenient (Zhang &

Liu, 2010).

Moreover, college students are unique consumers comparatively to other consumers

(Zhao, 2010). Second-hand goods are considered their main needs since they are temporal

residents who will be off a campus once he or she graduates. Besides, Trustworthiness be-

tween a seller and a buyer is another achievement of this study since students are the main

actors in this study and that, consequently, will provide more details about a seller’s history

and his/her background information which can be gained from his/her college. “To maintain

these items it’s important that seller doesn’t use nicknames and show he’s available and re-

sponsible with the transaction.” Said (da Cunha Julio A, Hamilton L, Joao L, & Dennys E,

2012).

Finally, developing an online flea market using C2C E-commerce model which is faced

with higher education district focusing on college students based on sufficiently elicited, in-

cepted and elaborated requirements is necessary and a key criterion to proceed to subsequent

software engineering but, unfortunately it is scarcely done (Roger, 2010). In other words, in-

consistency, omissions and ambiguity are still nightmares for most computer-based systems

whereby these systems are built on week foundations in terms of requirements engineering

(Roger, 2010). Therefore, this study proposes a comprehensive requirements model that can

be referred as guidelines to developing the online flea market.

3

RESEARCH’S OBJECTIVES

The main objectives of this study are:

1. To determine the functional and non-functional requirements for the online flea

market in higher education district.

2. To construct the requirements model based on functional and non-functional re-

quirements.

3. To evaluate the online flea market in higher education district in terms of useful-

ness and ease of use.

SIGNIFICANCE OF THE RESEARCH

The significance of this study is to give the higher education students a better alternative

of a traditional flea market based on in-depth negotiated requirements. The requirement mod-

els are specifically a sub domain of the requirement engineering domain whereas generally it

is a term that is linked to software engineering. However, the significant services of this study

can be categorized as follows:

One of the most significant services of the online flea market is to finding their

needed goods and putting their unneeded goods in an auction whereby Senior and

graduate students are enabled to put their unneeded goods on the website for sale

and likewise, junior students are also enabled to seek for their needs on the web-

site.

To deliver varieties of categorized products to buyers which that allow them to

perform transactions securely. Also, Users are not restricted to any conditions or

agreements that would impose them to fill in their private information such as

(Credit card number).

A requirement model that is an effective guide and reference for any further de-

velopments in the online flea market for higher education.

LITERATURE REVIEWS

In this study, A Venn’s diagram is adopted to visualize the literature reviews as it is de-

picted below in Figure 1:

Figure 1.A Venn’s Diagram Depicts The Themes’ And Models’ Logical Relations.

A Requirement Model

An Online Flea Market

An E-commerce Model

C2C E-commerce Model

Trading

Model

C2B

Model

B2C

Model

B2B

Model

Higher

Education

Public

4

Online Flea Markets

Online flea markets have widely emerged and been considered a significant term in e-

market research. The online flea market is a digital system which is developed and utilized for

users to benefit its services and features whereby sellers and buyers exchange information and

transactions to gain their own goods (Villapol & Fuenmayor, 2007).

Traditional Flea Markets

Some universities still adopt the traditional way whereby senior students determine a spe-

cific location in the university and establish their flea market for several days over several

hours per day according to Wang & Tomaszewski, (2010). In this way, some arrangements

must be done before the event day. A place, time and training managers are the main parts of

a preparation phase that are usually done 1 month before. Also, on the day of the event, cli-

mate and some security issues are most frequently considered to enjoy shopping peacefully

since markets are crowded and lots of stuffs are there that can be easily lost. Participants were

asked to sign and return the 3R Student Flea Agreement to managers to control the partici-

pants’ actions in the event day (Wang & Tomaszewski, 2010).

Modern Flea Markets

An electronic flea market has been established and adopted by several organizations. Ac-

cording to Zhao, (2010), an electronic flea market website had been developed in Hebei Uni-

versity of Engineering and Henan Higher Education District in China. In Hebei University of

Engineering the E-market website was developed and implemented using different develop-

ment tools from the Henan Higher Education District flea market website. Students also were

asked to adhere to an agreement to participate in the market in both educational institutions in

order to maintain selling and buying operations secured and reliable since online payment is

allowed for students (Zhao, 2010).

C2c E-Commerce Websites and Higher Education

E-commerce is electronic business activities that are run on the Internet to serve users ac-

cording to (Meng, 2009). E-commerce uses all technologies to deliver better services such as

the Internet and other electronic tools. In other words, e-commerce has opened a great oppor-

tunities for companies. In china, 2010, the total amount of e-commerce sales reached to RMB

460 billion and it was expected to be tripled after 3 years that will make china the largest e-

commerce market according to (Hoffmann et al., 2012). However, creating e-commerce solu-

tions leads to developing an e-commerce website that offer certain demanded services. E-

commerce has been classified into four categories namely (Zhao, 2010) :

Business to Business (B2B) model

Business to Consumer (B2C) model

Consumer to Consumer (C2C) model

Consumer to Business (C2B) model

The C2C model has been adopted in our study since it involves negotiation selling and

buying transactions which are conducted between consumers. College students are special

consumers looking for special needs. Many C2C e-commerce websites have found their way

to higher education districts and have achieved its objectives successfully whereby students

have sold their unneeded products to other students who are in need for them. According to

Shi,( 2009), a C2C e-commerce website was installed in a campus network server and had

been experimented for half a year by teachers and students in Zhejiang Gongshang Universi-

ty. Ideal results were achieved, ensuring the university e-commerce system integrity and

broader transaction space were delivered to students.

However, well-known C2C e-commerce websites have been widely used by individuals

and organizations to flourishing their businesses. The Amazon, EBay sites are e-commerce

websites which they offer all e-commerce services and transactions for specifically public

users regardless who they work for and what each of all those groups of users needs are.

5

EBay

The EBay site is one of the largest e-commerce sites in the world whereby bidding, listing

and purchasing were happening every minute simultaneously by 90 billion active users and

the number is increasing everyday according to Zegian & Sundaresan, (2011). Even though

the EBay site is B2C and C2C e-commerce model-based and equipped with auctions and

fixed-price features, there are still some issues that are affecting some features in the EBay

system. A study reported that there is no a dominant bidding strategy when faced with mul-

tiple auctions each offering an item of interest according to Juda & Parkes, (2006). Which that

will make the number of auctions declines due to the inaccuracy in picking the right winner.

The study provided the truthful, dominant and simple bidding strategy by creating consisting

of an options-based and authorized auction protocols.

Amazon

Amazon is another popular e-commerce marketplace in the world. It offers items for sales

and buyers can pay by many ways similarly to the EBay whereby buyers can pay fixed prices

or bid in auctions. According to Zaman & Grosu, (2012), “the fixed price-based resource al-

location and trading mechanisms currently in use in cloud computing systems do not provide

an efficient allocation of resources and do not maximize the revenue of the cloud providers”.

Based on an economic theory that they supported their study with which is “when the auction

costs are low, auctions are especially efficient over the fixed-price markets since products are

matched to customers having the highest valuation.” (Zaman & Grosu, 2012). Bidding on

combinations of discrete items adds more value to each item rather than selling or bidding on

items separately. In other words, if you’d like to sell a single chair it will be less valuable by

bidders than if it is sold with a table.

Requirements Modeling

Requirements modeling have been of concern of researchers for many years. Various

technique tools and methods have been established and enhanced continuously to deliver bet-

ter end-to-end information system in terms of features and quality to users. Requirements’

modeling ensures the completeness and consistency of the system and plays an important role

in the System Development Life Cycle (SDLC) according to Pandey, Suman, Ramani, &

Ahilyavishwavidyalaya, (2011). An information system becomes more mature after iterative

development processes, methods and tools. Requirements model components are the repre-

sentations of the system activities and aspects and it can help understanding the system in the

development processes phases (e.g. elicitation of the requirements, requirements analysis,

design and implementation).

However, since using graphical requirements to describe the system’s activities and fea-

tures is worth rather than words, many requirement modeling applications have been estab-

lished (e.g. UML), Business Process Modeling Notation (BPMN) and System Modeling lan-

guage (SysML)). A research study , by (Pandey et al., 2011), has created a framework for

modeling software requirements using UML concepts for requirement modeling with more

focus on specific details. The study found that conventional requirement artifacts can be

mapped into system elements. Also, critics were found in using UML as a requirement speci-

fication language and can be solved using the UML tools and extensions.

Another study , by Nor, (2009), created a requirement model for Employee Training Man-

agement System (ETMS) in one of the private higher learning institution. The researcher has

found that using UML extensions such as Web Application Extensions (WAE) provides a

substantial, significant contribution to the comprehension activity and these results have been

verified only by developing a prototype of (ETMS).

6

RESEARCH METHODOLOGY

Building a requirement model prior to system design phase has been neglected by many

developers (Roger, 2010). Having a requirement model ensures a higher probability to reveal

any omissions, inconsistencies or ambiguity which that will, in return, results in a solid struc-

tured end system. Hence, this study is based on a framework as shown in Figure 2.

The framework consists of four major phases, namely: Theoretical study, requirements’

elicitation, requirements’ analysis and requirements’ validation.

Figure 2. The Research Methodology Framework

Theoretical

study

Literature study, previous

works and exploration.

Non functional and

Functional Re-

quirements are

elicited

Phases Technique/Approach Output

Requirement

Elicitation

- Interview

- Background study

- Questionnaire

- Observation

- Document Analysis

Requirement

Analysis

-Requirement Modeling.

-Content Modeling

-Hypertext Modeling

-Presentation Modeling

Requirement

Validation

Experts Review the

Framework using the be-

low criteria:

1. Omissions.

2. Inconsistencies.

3. Ambiguity. validated require-

ments models

Evaluate the usefulness and

ease of use by using a pro-

totyping.

The requirement

models

7

Theoretical study

A theoretical study of an interesting problem may come from multiple sources; and the

most important thing is to achieve the objectives and to scope this problem. In this phase, Non

functional and functional requirements are derived from other related works. The require-

ments for developing the E-flea market website will be identified and investigated from litera-

ture studies and previous works.

Requirement Elicitation

This phase focuses on collecting and gathering the desired and required requirements and

objectives from multiple perspectives. In this phase, stakeholders who are affected by the sys-

tem are determined and identified. The gathered requirements cover all aspects of the aimed

system (e.g. security issues, business requirements, user requirements and constraints). The

elicited requirements are raw requirements which mean unanalyzed requirements. Interviews,

background readings, observation, documents analysis techniques are used in this phase. The

output of this phase is the all desired functional and non functional requirements.

Requirement Analysis

There are four modeling activities involve in this phase, which are: functional, content,

hypertext and presentation modeling.

Functional modeling

In this phase, functional requirements are the main concern. A list of requirements, use

case diagram and use case specification are constructed. This model aims to obtain an integral

model which consists of the structure and the behavior of the targeted system. The list of re-

quirements, the use case diagram and the specification diagram will describe how the system

will function and its feature that the end-user will interact with.

Content Modeling

The content modeling level is of concern of the information that is included and shown on

the web either dynamically or statically. It aims to integrate and transfer all the information

and requirements in to a model. Class diagrams and interrelation diagrams are comprised in

the produced model. Therefore, Object-Oriented approach is adopted to model the contents of

the web application to ensure information redundancy avoidance.

Hypertext Modeling

Since web applications are hypertext-based, modeling the navigation system in the web

application is an important step in this phase. The aim of this step is to ease the user to navi-

gate through the web application without being lost using navigation paths. Hypertext struc-

ture modeling is based on nodes (pages or documents) and links between them. Usually,

hypertext model is considered as a view model for the contents model. Classes and objects in

the content model are the basics of the hypertext model.

Presentation Modeling

The presentation modeling deals with the user interface (UI). It determines the appearance

and the feeling of web applications. Graphic designs are involved in this model to simplify

and the use of the web application. In this model, headers and footers on the web application

are positioned as well as nodes, buttons, texts, images and audios. The output of this phase is

a fully designed requirement model.

Requirement Validation

The requirement validation phase is the last phase in the requirement model life cycle. In

this phase, two activities are performed to gain a pure and solid requirement model, namely:

Firstly, the requirement model is reviewed by two experts in order to ensure the requirements

model is clear, consistent and complete. Several critical questions are addressed by the re-

8

viewers to ensure that this is the right system is to be built (e.g. is each requirement consistent

with the overall objectives for the system?) (Roger, 2010).

Secondly, after the reviewers validated the requirements, the online flea market is devel-

oped based on the validated requirement model as well as the level of usefulness and opera-

bility is evaluated by giving out a questionnaire to a group of students after they experiment

the developed online flea market.

Web applications' designers have faced many challenges during development phase of the

systems. Most of these challenges are data handling, organizing, or structuring of the web

applications (Sridaran, Padmavathi, & Iyakutti, 2009). In this study the prototype will be de-

veloped using Microsoft ASP.NET 2008 Framework, which provides developers with the

opportunity to create and deploy applications and services via the Web. In addition, a SQL

Server 2005 database will be the data layer for the E-flea market website.

The evaluation will be performed to determine the level of usefulness and operability of

the system after the system has been developed. The evaluation is based on the usability test-

ing by using the System Usability Scale (SUS) proposed by (Davis, 1989). The prototype will

be evaluated by the stakeholders after the development process is done.

ANALYSIS AND RESULTS

In this part, the requirements models are described and documented using UML. The re-

sults of this study discuss the requirements models elements namely a list of requirements,

Use Case diagram, Use Case Specification, Activity diagrams, Class Diagram, Sequence dia-

grams. In addition, content, hypertext and presentation modeling were part of the require-

ments modeling. The results from the prototype evaluation were also presented.

The requirements model is based on the requirements gathered during requirements elici-

tation phase. There are 33 requirements as presented in Table 1 and Table 2 below.

In the priority column, the following short hands are used:

M – mandatory requirements (something the system must do)

D – desirable requirements (something the system preferably should do)

O – optional requirements (something the system may do)

Table 1. List of the Functional Requirements

No. Requirement ID Requirement Description Priority

OFM_01 User login

1. OFM_01_01 A User is able to login M

2. OFM_01_02 User Name or/and Password is invalid D

3. OFM_02 User logout M

OFM_03 User sign up

4. OFM_03_01 A User is able to sign up M

5. OFM_03_02 The password fields are not matched D

6. OFM_03_03 The entered email is duplicated D

7. OFM_03_04 The fields are empty D

OFM_04 Administrators manage item categories

9

Table 2. List of the Non-Functional Requirements

Consequently, a use case diagram is developed to visualize the functional requirements as

presented in Figure 3 below. It can be clearly seen in this figure, that there are five actors

with 10 use cases. Each actor associates with different use cases based on its role in the online

Flea Market system.

8. OFM_04_01 An administrator able to create a new item category M

9. OFM_04_02 An administrator able to view an item category D

10. OFM_04_03 An administrator able to update an item category D

11. OFM_04_04 An administrator able to deletes an item category D

12. OFM_04_05 The fields are empty D

OFM_05 Administrators manage all members

13. OFM_05_01 An administrator able to view peddlers records M

14. OFM_05_02 An administrator able to block a peddler’s record D

OFM_06 Members manage personal record

15. OFM_06_01 A Member able to view his/her personal record M

16. OFM_06_03 The password fields are not matched D

17. OFM_06_04 The entered email is duplicated D

18. OFM_06_05 The fields are empty D

19. OFM_07 Administrators manage all offers

20. OFM_07_01 An administrator able to view all offers M

21. OFM_07_02 An administrator able to block an offer(s) D

OFM_08 Members manage offer

22. OFM_08_01 A Member able to create a new offer record M

23. OFM_08_02 A member able to view his/her offer(s) D

24. OFM_08_03 A Member able to update his/her offer D

25. OFM_08_04 A Member able to delete his/her offer D

26. OFM_08_05 The fields are empty D

27. OFM_09 Users search offer M

OFM_10 Users comment/negotiate offer

28. OFM_10_01 The Users able to comment/negotiate an offer(s) M

29. OFM_10_02 A required field(s) is empty D

No. Requirement ID Requirement Description Priority

OFM_11 Reliability issues

30. OFM_11_01 Each peddler must only have access to his offers. D

31. OFM_11_02 If the system broke down, it should be recovered by backup files. D

OFM_12 Usability issues

32. OFM_12_01 peddlers must login to the E-Flea market at least once in 3 month D

33. OFM_12_02 Offers will last for only three months. D

10

Figure 3. The Use Case Diagram of Online Flea Market.

The requirements of the flea market are presented using several UML diagrams. This is

important because each of the UML diagram visualize the requirements from different pers-

pective and usage. Thus, the following table represents the proposed requirements model and

the number of use of each element:

Table 3. The UML diagrams

No Diagrams Number of Diagrams

1 Use Case diagram 1

2 Use Case Specification 10

3 Activity diagram 10

4 Sequence diagram 7

5 Class diagram 1

Furthermore, the requirements model is also supported by content, hypertext and presenta-

tion modeling. This is important because the online flea market is a web based application

and therefore it is essential to show the dynamic aspect of a web application.

After having a comprehensive requirements model, it is crucial to validate it in order to

ensure the requirements model are complete, consistent and clear. Hence, the requirements

model is sent for the expert review to check on completeness, consistency and ambiguity. Af-

ter the expert reviews, the validated requirements model are transform into a prototype and

Administrator

Members

Peddler

Users

Buyer

User login

User logout

User sign up

Manage item categories

Manage all members

Manage personal record

Manage all offers

Manage offer

Search offerComment/negotiate offer

11

been demonstrated to the potential users. The users used this prototyped and then they need to

answer a set of questionnaire as it is shown in appendix A.

In this study, perceived usefulness scale and perceived of ease of use scale (PUEU) were

assessed, which are hypothesized to be fundamental determinants of user acceptance (Davis,

1989; Bangor,2008). However, the checklist included initially two fourteen-item scales for

each scale. After a set of studies and tests on its reliability, content validity and construct va-

lidity, the measures were refined and streamlined in two six-item scales for the perceived of

usefulness and the perceived of ease of use (Davis, 1989; Bangor,2008) as it is shown in the

appendix A. An each item out of the 12 items is scaled from one to five degrees based on a

psychometric theory. The scales 1 represents the term “Strongly Disagree”, 2 represents “Dis-

agree”, 3 represents “Moderate”, 4 represents “Agree”, 5 represents “Strongly Agree”.

A sample of 33 potential users were involved and randomly selected in the study using the

questionnaire to measure users’ acceptance towards the system. The checklist consists of two

sections namely General information and Evaluation Guidelines.

General Information

Demographic profiles are used in this study to descriptively conclude the number of fre-

quencies for each item. Table 4 and Fiqure4 below depicts that 6 respondents (19%) out of 33

respondents are majored in accountancy which makes most of the accountancy course fre-

quency number is the highest followed by 6 respondents (15%) for other courses .

Table 4. A Distribution of Respondents Based on Courses

Course Number of Respondents Percentage (%)

Marketing 1 3

Agriculture business 1 3

Finance 1 3

Education in IT 1 3

Banking 2 6

Strategic studies 1 3

Accountancy 6 19

Bachelor of Business Administration(BBA) 2 6

Information Technology (IT) 3 9

Applied Linguistics 1 3

Operation Management 2 6

Doctorate of Business Administration (DBA) 1 3

Economic 3 9

Information Communication Technology (ICT) 3 9

Others 5 15

12

Figure 4. A Distribution of Respondents Based on Courses

.

Respondents in different ages were responded to the questionnaire. Table 5 and Figure 5

shows that 17 respondents (51%) were between 18 to 22 years old and they were the majority

in the survey, Followed by 10 respondents (45%) who their ages were between 23 to 27 years

old.

Table 5. A Distribution of Respondents Based on Age

Ages Number of Respondents Percentage (%)

18-22 17 51.51

23-27 10 45.45

28-32 3 09.09

33-37 3 09.09

38-42 0 0

43-47 0 0

marketing

3%

agriculture

business

3%

finance

3%

education in

IT

3%Banking

6%

Stratigic

studies

3%

Accountancy

19%

BBA

6%

IT

9%

Applied

Linguestic

3%

Operation

Management

6%

DBA

3%

Economic

9%

ICT

9%

Others

15%

13

Figure 5. A Distribution of Respondents Based on Age

Moreover, respondents’ gender was one of the assessed items in the survey whereby 33

males and females responded to the questionnaire. As it can be seen in Table 6 and Figure 6

below, females were the majority in the survey whereby 18 (54%) were females and 15 (45%)

were males.

Table 6. A Distribution of Respondents Based on Gender

Gender Number of Respondents Percentage (%)

Male 15 45.45

Female 18 54.54

Figure 6. A Distribution of Respondents Based on Gender

0%

10%

20%

30%

40%

50%

60%

18-22 23-27 28-32 33-37 38-42 43-47

52%45%

09% 09%

00% 00%

Pe

rce

nta

ge

Age

18-22

23-27

28-32

33-37

38-42

43-47

0%

10%

20%

30%

40%

50%

60%

Male Female

45%55%

Pe

rce

nta

ge

Gender

Male

Female

14

Evaluation and Guidelines

Users’ acceptance towards the online flea market prototype is assessed in this section.

Since the system targets the higher education district, students are considered main actors in

the system and their perceptions of usefulness and ease of use were scaled. Table 7 and Figure

7 below illustrate the result of an overall assessment. Whereby, a majority of 59.08% of res-

ponses agreed that the prototype is useful and easy-to-use while 8.25% responses disagreed.

Therefore, the requirements model has succeeded delivering users’ acceptance.

Table 7. A Distribution of Respondents on All Items in Percentage

Items 1

(Strongly Disagree)

2

(Disagree)

3

(Moderate)

4

(Agree)

5

(Strongly Agree)

Item1 0% 9% 30% 52% 9%

Item2 3% 9% 30% 45% 12%

Item3 0% 9% 39% 39% 12%

Item4 0% 3% 48% 30% 18%

Item5 0% 6% 18% 64% 12%

Item6 3% 6% 33% 45% 12%

Item7 0% 15% 24% 42% 18%

Item8 0% 3% 24% 55% 18%

Item9 0% 0% 45% 39% 15%

Item10 0% 3% 42% 45% 9%

Item11 3% 24% 30% 39% 3%

Item12 0% 3% 21% 55% 21%

Averages 0.75% 7.50% 32.00% 45.83% 13.25%

Figure 7. An Overall Distribution of Respondents

0%3%

0% 0% 0%3%

0% 0% 0% 0%3%

0%

9% 9% 9%

3%6% 6%

15%

3%0%

3%

24%

3%

30% 30%

39%

48%

18%

33%

24% 24%

45%42%

30%

21%

52%

45%

39%

30%

64%

45%42%

55%

39%

45%

39%

55%

9%12% 12%

18%

12% 12%

18% 18%15%

9%

3%

21%

0%

10%

20%

30%

40%

50%

60%

70%

Item1 Item2 Item3 Item4 Item5 Item6 Item7 Item8 Item9 Item10 Item11 Item12

1 (Strongly Disagree) 2 (Disagree) 3 (Moderate) 4 (Agree) 5 (Strongly Agree)

15

DISCUSSION AND CONCLUSION

The paper discusses the major requirements needed for higher education district and how

it’s elicited, modeled and finally verified. UML was used as requirements specification lan-

guage to model all the web-based application models namely functional and non-functional

requirements modeling, content modeling, hypertext modeling and presentation modeling.

This paper has also presented the online flea market website whereby the other development

tools were involved in the development process namely MS SQL Express 2005 and MS

ASP.Net 2008 as it is shown in the appendix B. The prototype was uploaded in a local server

where all UUM-Zone access points’ users can communicate to the online market. According-

ly, checklist questionnaires were giving to evaluate students’ acceptance towards the proto-

type. A number of 33 users were involved in verifying the online flea market usefulness and

ease of use. Questionnaires’ measures were in two six-item scales for the perceived of useful-

ness and the perceived of ease of use. Results of the assessment revealed that the online flea

market successfully delivered useful and ease of use functions. However, further requirements

refinements are definitely needed for future work since the assigned time was barely suffi-

cient to elicit and analyze the most demanded requirements.

The requirements model for online flea market can be a guideline in the future for devel-

oping a flea market in higher education, It also can be a reference for researchers in visualiz-

ing the requirements using UML as well as the dynamic aspect of a web based application,

Therefore, this requirements model contributes to the domain of requirements engineering

specifically and to the body of software engineering generally.

REFERENCES

Bangor, A., Kortum, P. T., & Miller, J. T. (2008). An empirical evaluation of the system

usability scale. International Journal of Human-Computer Interaction, 24(6), 574-594.

da Cunha Julio A, C., Hamilton L, C., Joao L, P., & Dennys E, R. (2012). Buyers, Trust

Perceptions on Electronic Commerce: An Inter-temporal Perspective . International

Journal of Advances in Management and Economics , 220-225

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease Of Use, And User Acceptance of

Information Technology. MIS Quarterly; , 319-340.

Du, J. (2005). A Tentative Study on the Model of the Campus. ACM, 790–792.

Hoffmann, B. S., Lannes, B., & Dai, J. (2012). China e-commerce : Heading toward RMB 1 . 5 trillion. Bain & Company, Inc, 3–10.

Juda, A. I., & Parkes, D. C. (2006). The Sequential Auction Problem on eBay : An Empirical Analysis and a Solution. ACM, 180–189.

Meng, X. (2009). Developing Model of E-commerce E-marketing. ACADEMY PUBLISHER, 2, 225–228.

Nor, N. M. (2009). A Requirements Model for Employees Training Management System: Applying WAE-UML. 2009 International Conference on Information Management and Engineering, 569–573. doi:10.1109/ICIME.2009.67

Pandey, D., Suman, U., Ramani, A. K., & Ahilyavishwavidyalaya, D. (2011). A Framework for Modelling Software Requirements. IJCSI International Journal of Computer Science Issues, 8(3), 164–171.

Shi, H. (2009). Design of a E-Commerce Model in Higher Education District. 2009 International Conference on Management and Service Science, 1–4. doi:10.1109/ICMSS.2009.5305758

Sridaran, R., Padmavathi, G., & Iyakutti, K. (2009). A Survey of Design Pattern Based Web Applications. Journal of Object Technology, 8(2), 61–70.

The European Online Marketplace Consumer complaints 2010-2011. (n.d.) (pp. 1–65). Sweden.

Villapol, M. E., & Fuenmayor, C. (2007). E-buhonero : A Proposal to Alleviate the Problem of People Selling Goods on the Venezuelan Streets. ACM, (October), 10–11.

Wang, Y., & Tomaszewski, E. (2010). Establishing a Student Flea Market at WPI An Interactive Qualifying Project Report submitted to the Faculty of. wpi.edu.

Zaman, S., & Grosu, D. (2012). Combinatorial Auction-Based Mechanisms for VM Provisioning and Allocation in Clouds. 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), 729–734. doi:10.1109/CCGrid.2012.22

Zegian, S., & Sundaresan, N. (2011). eBay : An E-Commerce Marketplace as a Complex Network. ACM, 655–664.

Zhang, G., & Liu, C. (2010). Analysis and Design on Campus E-commerce System. 2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering, 612–615. doi:10.1109/ICIII.2010.152

Zhao, X. H. (2010). The Application of C2C Model of E-Commerce in Higher Education Based on AHP. 2010 International Conference on E-Product E-Service and E-Entertainment, 1–4. doi:10.1109/ICEEE.2010.5660118

Appendix A

The Questionnaire form of an Online Flea Market Prototype

College of Arts and Sciences

University Utara Malaysia

AN ONLINE FLEA MARKET ( OFMARKET )

The OFMarket is a proposed web application that will mainly benefit

students of maintaining time and expenses to find their needs while they

accommodate in a university. This questionnaire aims to gain the web-

site’s usefulness and ease of use to achieve further understanding of the

system requirements.

All information will be strictly and only used for research purpose on-

ly. Your feedbacks are gratefully appreciated and do contact me through

my email: [email protected] for any enquiries or if you are in-

terested to know the result.

Section A: General Information

Please Tick () your answers:

Gender : [ ] Male [ ] Female Course:

Age : [ ] 18-22 [ ] 23-27 [ ] 28-32 [ ] 33-37 [ ] 38-42 [ ] 43-47

Section B: Evaluation & Guidelines

Firstly, Enter this URL http://10.19.183.140/OFM/ to open the Online Flea Market website.

Secondly, Complete this Questionnaire, using the following scale:

1 = Strongly Disagree

2 = Disagree

3 = moderate

4 = Agree

5 = Strongly Agree

Perceived Usefulness

Evaluation

1 2 3 4 5

The Online Flea Market

enables me to accomplish

tasks more quickly.

Using the Online Flea Market

improves my job perfor-

mance.

Using the Online Flea Market

increases my productivity.

Using the Online Flea Market

enhances my effectiveness on

the job.

Using the Online Flea Market

makes it easier to do my job.

Overall, I find the Online

Flea Market useful in my job.

Perceived Ease Of Use

Learning to operate the Online

Flea Market is easy for me.

I find it easy to get the Online

Flea Market to do what I want to

do.

My interaction with the Online

Flea Market is clear and unders-

tandable for me.

The Online Flea Market is flexible

to interact with.

I find it takes a lot of effort to be-

come skillful at using the Online

Flea Market.

Overall, I find the Online Flea

Market easy to use.

Appendix B

The Online Flea Market Prototype’s Webpages