a study on effect of internet and quasi-internet services ...iaiest.com/dl/journals/5- iaj of...
TRANSCRIPT
International
Academic Journal of
Accounting
and
Financial Management International Academic Journal of Accounting and Financial
Management
Vol. 2, No. 12, 2015, pp. 1-18.
ISSN 2454-2350
1
www.iaiest.com
International Academic Institute for Science and Technology
A study on effect of internet and quasi-internet services on
behavioral consequences of consumer (case study:
MCI Communications Corp. in Sari)
Amir Ebrahim Pour Azad Bania, Ali Mahdi zadeh Ashrafi
b*
aMsc student, management, Islamic Azad University, Firoozkooh branch, Firoozkooh, Iran
bAssistant professor, Islamic Azad University, Firoozkooh branch, Firoozkooh, Iran
*corresponding Author
Abstract
The present research intends to examine effect of internet and quasi-internet services on behavioral
consequences of consumer in MCI Communications Corp. in Sari. In doing so, 192 customers who
referred to this corporation were considered as sample group. E-commerce and consumer’s behavior
researcher-made questionnaire was used to collect data. Validity of questionnaire was confirmed using
validity of judgment by the professors and the reliability was obtained via Cronbach's alpha coefficient
(0.84). data analysis was made using Kolmogorov–Smirnov test, Binominal Test, Friedman ANOVA,
chi-square test; value of variables was determined using Chvprvf Friedman test via software SPSS-20.
Results indicated that all the factors related to internet and quasi-internet services affect behavioral
consequences of consumer except for the second, third, eighth and ninth secondary hypotheses.
Keywords: e-commerce, consumer’s behavior, consumer’s satisfaction, consumer’s loyalty,
consumer’s trust
Introduction:
In today’s world, abundant advantages of e-commerce have caused paying attention to e-commerce as a
strategy in developing and developed countries. With regard to numerous developments which have
occurred in business in different forms, this has conducted the business to be electronic. In recent years,
applications of computer have changed the individuals’ lifestyle severely by creating easier transactions.
Internet which has been regarded as one of the most important applications of computer at modern age
has changed how to conduct the social interactions and business transactions by removal of national
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
2
borders and supply of 24 hours services to the individuals across the world. E-commerce proliferates the
process of world trade by removal of the barriers to international trade. Increasing expansion of e-
commerce volume across the world, use of e-commerce in the economic enterprises and acceptance of e-
commerce by the consumers indicate potential advantages of e-commerce in economic and commercial
areas. In internet market, there is this challenge to traditional market that the business organization faces
more competitors and less customer loyalty, thus acquisition of customer trust, satisfaction and retention
are of great importance in e-commerce (Elahi, Hamdan, Hassan zadeh, 2007). Success of any firm
depends on its adjustment with environment. Customers are the main elements for the firms, thus
understanding their behavior is of great importance. The secrete in survival of firms lies on this fact that
they adapt their products with consumers’ needs and have active reaction well suited with changes in
dynamic environment. E-commerce has been regarded as one of the most important issues emerged in
today’s world that has been drawn into attention by organizations, researchers and scholars. Area of e-
commerce is much extensive, including different operations such as home banking, stock purchase, Home
Shopping, tenders, collaboration and other services (Turban, 2005). Development of studies on consumer
behavior is as the result of movement of philosophy of marketing from product production to sale and
marketing (Levitt, 1960). Previous researchers have indicated needing to change of market orientation to
include customers’ outlooks (Chen, 2005). Narver & Aslyter(1990) have defined market orientation as the
culture governing an organization which results in supply of the most effective behavioral pattern and
method to create added value for the customers and creation of superior performance for the considered
trade. This orientation to customer’s outlook increases non-monetary value of services and goods;
according to Taylor(1961), the term “value” refers to customer’s preferences which this value is acquired
empirically and rationally(Holbrook & Hirshman1982, Zeithmal, 1988); this value is often considered as
performing customer-oriented outlook in market(Weinstein & Pohlman) or creating a basis to create
positive performance at market(Woodruffdtal, 1993). In today’s world, having a proper understanding of
consumers’ behavior and consumption process has numerous advantages. In this study, a comparative
study has been conducted to examine effect of internet and quasi-internet services on behavioral
consequences of consumer.
Review of theoretical background and literature review
Definitions for e-commerce from different perspectives
From communication perspective, e-commerce, delivery of information, products, services or payments
come to realize through phone lines, computer networks or electronic devices.
From commercial perspective, e-commerce refers to a means that enables different businesses, brokers
and their customers to improve the issues such as quality of services, speed at delivery of services and so
forth and reduce the issues such as costs.
From business perspective: e-commerce refers to use of technology to automate the exchange of business
and workflow (Verill & vitell, 2001).
From service perspective: e-commerce refers to a means which supports the demands of governments,
firms, consumers and directors to reduce costs for supply of services in line with improvement of quality
of services and products and increase of speed at delivery of services.
From educational perspective: e-commerce provides necessary conditions for e-learning at schools,
universities and other organizations including business organizations.
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
3
From perspective of information technology: e-commerce is called to a series of applications of
information technology which have been developed as a system to support and progress work flow and
commercial transactions.
From perspective of society: e-commerce provides a place for the individuals of a society in which they
are trained, attended and interacted with each other (Hanafi zadeh & Rezaei, 2010).
Subjective norm and acceptance of e-commerce
Subjective norm implies a person’s belief in thought and outlook of reference individuals about engaging
in a specific behavior. Subjective norm refers to the person’s motivation to follow outlooks of reference
individuals about engaging in a specific behavior (Volk, 2001). Most of studies in psychology clarify that
subjective norm is a determinant for perceived utility and behavioral intention. Theory of Justified Action
says that subjective norm and attitude are the determinants for behavioral intention. Rogers' diffusion of
innovations theory (2003) indicates that subjective norm and inter-personal communication networks play
a major role in decision for innovation selection. Therefore, it can say that subjective norm has a positive
relationship with perceived utility, attitude to use and intention to reuse B2C e-commerce website (Kim &
et al, 2009).
Limitations and barriers of e-commerce of e-commerce
E-commerce limitations can be classified to two technical and non-technical categories. With regard to
the study by CommerceNet organization (2000), ten major barriers to e-commerce in U.S include
security, confidentiality and risk, lack of trained staffs, lack of business models, cultural factors, lack of
general infrastructures, organizations, fraud, speeding down the Internet, and legal factors. At
international arena, the major barriers include cultural factors, organizations, B2B mediators, barriers to
international business and lack of standards (Hanafizadeh& rezai, 2010).
Technical limitations of e-commerce
-Lack of security, reliability of standards and some communication protocols are still visible.
- There is not enough communication bandwidth especially for mobile business.
- Integration of Internet and software for e-commerce with some of databases and applications is difficult.
- The sellers might need specific web servers and other infrastructures in addition to network servers.
-access to internet is expensive and troublesome
The e-commerce software might not adapt with some software and operating systems. Here, it should be
noted that technical limitations diminish by the passage of time, which it can reduce its effects by a proper
planning (Hanafizadeh& rezai, 2010).
Non-technical limitations of e-commerce
Most of non-technical limitations which suppress expansion of e-commerce are as follow based on the
research by Internet Week (1998). The cost for domestic development of e-commerce has been high
which lack of skill and experience might result in the delays; further there are numerous opportunities for
outsourcing but where and how this comes to realize is not simple. In addition, justifying system
investment due to intangible benefits is hard. E-commerce industry is hard and time-consuming task to
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
4
convince the customers about security and privacy of their exchanges. Customers have no trust on
unknown seller and electronic transactions. For this, trajectory of physical sellers to virtual stores is
tough. Some customers desire to touch their required items. Some governmental and international rules
intensify the limitation of e-commerce. Some legal issues have remained unresolved and governmental
rules and standards have not been defined for most of conditions. Measurement of most of advantages of
e-commerce such as marketing is tough, for which there are no suitable methodologies. There are not
sufficient backup services, e.g. there are not Intellectual Property Rights Coordination Centers for e-
commerce exchanges. Investment acquisition is tough at a time when many Internet companies have
failed. E-commerce as a field and area is still evolving in which there are many changes ahead. In most
applications, there are not sufficient buyers and sellers to do profitable e-commerce operations. Internet
fraud has increased. E-commerce could lead to the collapse of human relationships (Hanafizadeh&rezai,
2010). Despite these limitations, e-commerce has keeping increasing, e.g. the number of individuals who
have involved in purchase and sale of stock via electronic system has reached from 300000 persons in
1996 to about 25 million persons in 2002. In southern Korea, about 60% of the exchanges in stock
market have been made in internet, which this has been about 2% in 1998(Korean times, 2004). Further,
the number of sellers of securities in internet have reached form 7.76 million in 2002 to 122.3 million in
2004(Hanafizadeh & rezai, 2010).
The consumers’ communication behavior in digital environment
Currently, use of related behaviors to achieve further effectiveness in decision makings, reduction of data
processing costs, access to further recognition in favor of consumers’ decisions and reduction of risk
related to selection have been mentioned as the consumers’ tendencies at digital environment. After
several successful exchanges, consumers will trust on suppliers of services and goods. When their trust on
the services and goods increased, they know how the virtual firms will enable to meet their needs. Digital
environment assists the consumers to spend little time for making decision by providing extensive
selection, evaluating information and comparing goods. This environment provides comparative and
evaluated information which might reduce the cost for search of information and effort for purchase
decision. However, internet consumers are in interaction with computer systems failed to touch the real
good, they can make decision using the information provided by means of digital stores(Wind Jerry,
Vihay Mahajan,2006). Therefore, discussion on major related factors in purchase behavior of consumers
at e-commerce environment requires emphasis on availability of information. Success in digital purchase
associates to the ability to use information to predict and meet the consumers’ needs. The major need to
persuade consumer to internet purchase implies reduction of cost for search of information and increase
of predictability (Zaltman, 2003). There are many benefits for the consumer at digital environment,
including saving time, increase convenience and reducing risk. With regard to the studies, quality of
information and quality of consumers’ communication affect consumers’ satisfaction with information.
The information provided by digital stores is divided into the information on goods and services. The
information on goods includes the signs of goods, recommendation to the consumers and representation
of evaluation reports. Information on services includes information on members, accountability methods,
representation of information on delivery and order of goods and advertisements.
Concept of consumer’s behavior
The definitions below have been proposed in the articles in the context of consumer.
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
5
Berkman and Gilson: consumer’s behavior refers to the activities in which the individuals involve in real
or potential use of several items of market, including goods, services, ideas and the environment of the
shopping centers.
Weekly and Simon: consumer’s behavior refers to physical, sensational and mental activities that the
individuals involve in them in their selection, purchase, use and removal of goods and services to meet
their needs and demands. Hawkins has known the consumer as a decision making unit (individuals,
family, household or firm) which collects and processes data consciously or unconsciously in the light of
the existing situation and takes action to achieve satisfaction and improvement in lifestyle. Moon has
defined consumer’s behavior as the study of purchase units and the exchange processes included in
purchase, consumption and removal of goods, services and ideas (Samadi, 2004).
Customer satisfaction
Customer satisfaction has been regarded as the most important issue for the firms, because it is believed
that level of customer satisfaction affects their purchase pattern (cho, namajae, park, angyak, 2001).
Japanese firms believe that the customer is king and his satisfaction is in priority (Gordon, R. foxall &
Ronald E. goldsmit, 1994).customers develop major capital and resources of the firm (Welling, patricia,
1995). Customer satisfaction paves the way to achieve the goals at market such as increase of profit and
market share as well as improvement of quality. Customer satisfaction model includes four stages which
are intertwined with each other such a chain, performed to meet customer satisfaction constantly and
regularly ; this model includes detection of customer, detection of customers’ needs and expectations,
evaluation of customer’s impression, action and enforcement of program(Weits, Bartan et al). The
customer must not be considered as a system, but proper prices and items must be provided to satisfy the
customer (Roderick, 1996). Lin, chiaechin(2003) in a research evaluated the customer satisfaction in an e-
commerce. The result from this research indicates that quality of services refers to a method to determine
competitive advantage through customer satisfaction in e-commerce. In addition, customer relationship is
of great importance required for customer retention in e-commerce environment.
Customer loyalty
There is this challenge in internet market than traditional market that the commercial organization faces
more competitors, prevailed with less customer loyalty. Hence, in e-commerce, customer retention is a
tough issue for a commercial organization (castro, carmenbarroso, 2007). In purchase decision making
process, the customer is under influence of a series of internal factors, not leading to rational or economic
selection of customer. One of these factors lies on customer loyalty or trust to purchase of one trademark.
Repetition on purchase of a trademark is called loyalty. In other words, customer loyalty refers to
customer’s desire to have repetition on a specific website for purchase of a specific product (Guptaa, alok,
zipping, 2004). Favorable attitude and repetition on purchase are the attributes of customer loyalty
(castro,carmenbarroso,merrilees,bill,fenech,tino, 2007). The most important action to create loyalty to
product or trademark refers to the creation of customer relationship, i.e. a loyal person remains loyal to a
trademark in case he has a close relationship with it (Zikmund,Michael, 2011).
Trust
Trust and commitment are the important elements in the relationship between supplier and purchaser.
Trust implies having trust to reliability of a person or system based on the obtained results such that the
trust appears as the belief in another person (scrolling, 2011). In recent years, trust is of great importance.
To virtual organization, trust has been regarded as the most important issue centered as the management
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
6
preferences. Virtual organization develops from the individuals who are not in a direct relationship with
each other, but their communications are made through phone and use of information technology; as a
result, trust is the most important issue for the managers in virtual organization through which
management activities are facilitated. Virtual relationship of the partners with each other requires high
trust, because they must cooperate with each other and make the relationship between organization and
customers. This trust raises convergence among the individuals inside and outside the organization
(bignal, mahbubur& Bengal, 2011). The closer the customer trust to firm, mutual trust and customer
satisfaction will increase (Barnes, 2001). Numerous studies indicate that there is a positive direct
relationship between trust and e-purchase decision making (chang,yong-sheng, 2006). Trust affects
attitude and risk taking, whereby the more trust, the more possibility for e-purchase (Shirkhani, 2006).
Conceptual model of research
With regard to the literature review in this article, satisfaction has been regarded as one of the
components of consumer behavior ; consumer satisfaction leads to making relationship between customer
and firm, mentioned as the most important component. On the other hand, use of e-commerce services is
of great importance because of virtual trust, thus the relationship between trust and use of e-commerce
services must be examined. Further, consumer loyalty refers to the relationship between firm and
consumer in which the consumer gest partner with the firm and protects it. To sum up, this component is
of great importance in use of e-commerce services. The research model was designed in figure 1 as
follow.
Figure 1-conceptual model of research
Research hypotheses
Major hypothesis
E-commerce services in MCI Communications Corp. in Sari affect behavioral consequences of consumer.
The secondary hypotheses
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
7
Website services of MCI Communications Corp. in Sari affect consumer satisfaction.
Website services of MCI Communications Corp. in Sari affect consumer loyalty.
Website services of MCI Communications Corp. in Sari affect consumer trust.
Mobile services of MCI Communications Corp. in Sari affect consumer satisfaction.
Mobile services of MCI Communications Corp. in Sari affect consumer loyalty.
Mobile services of MCI Communications Corp. in Sari affect consumer trust.
ATM services of MCI Communications Corp. in Sari affect consumer satisfaction.
ATM services of MCI Communications Corp. in Sari affect consumer loyalty.
ATM services of MCI Communications Corp. in Sari affect consumer trust.
Research method
This research is an applied research in sake of aim and a non-experimental research in sake of method. In
this research, chi-square test and Chvprvf Friedman test have been used to test hypotheses concerning an
investigation into effect of effect of internet and quasi-internet services on behavioral consequences of
consumer. The field data were collected via questionnaire.
Statistical population and sample group
In this regards, the statistical population consists of the individuals in Sari used internet and quasi-internet
services of MCI Communications Corp.
Sampling method
In the present research, convenient sampling method has been used regarding nature of research subject
and the statistical population under study. The stages below have been considered for attendance of the
statistical population in the research.
a- selection of participants via convenient method
b- distribution of questionnaires among selected members
Sample group
The sample group (192) has been selected via non-experimental sampling method via Cochran formula.
192 customers were selected as the sample group due to unknown population. After doing the preliminary
questionnaire and resolving its deficiencies, 192 questionnaires were distributed among the customers.
Validity of questionnaire
The questionnaire used in the research has been organized based on literature review and study of several
questionnaires in similar studies; in addition, points of view of three professors were asked and as a result
validity of the questionnaire was confirmed. Measurement of validity of questionnaire is targeted in
acquiring the consistent results under the same conditions. In the present research, Cronbach's alpha
coefficient (0.84) has been used to measure the reliability of scales; since Cronbach's alpha coefficient is
greater than 0.7, the questionnaire is valid.
Analysis of research data
To measure demographic status of sample group, three questions were raised. With regard to the obtained
demographic information, concerning distribution of respondents in sake of gender status, 30.5% and
69.5% of the participants have been female and male, respectively. Concerning age status, 30.7%, 28.6%,
19.3% and 21.4% of the individuals have been at the age group 20, 20-25, and 30-35 years old,
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
8
respectively. Concerning education status, 32.8%, 38.3%, 19%, 9.9% had associate degree, bachelor
degree, master degree and PhD, respectively.
Studying research hypotheses
Studying the major research hypothesis
E-commerce services in MCI Communications Corp. in Sari affect behavioral consequences of consumer.
H0: E-commerce services in MCI Communications Corp. in Sari do not affect behavioral consequences
of consumer.
H1: E-commerce services in MCI Communications Corp. in Sari affect behavioral consequences of
consumer.
Binominal Test
Table 1. Binominal Test for the major hypothesis
Binomial Test
Category N Observed
Prop.
Test Prop. Asymp. Sig. (1-
tailed)
behavioral
consequen
ces of
consumer
Group
1
<= 3 54 .28 60. .019a
Group
2
> 3 138 .72
Total 192 1.00
Since sig is under 0.05 and assumed ration of test (0.60) is greater than the observed ratio (0.28), null
hypothesis is rejected and alternative hypothesis is confirmed. This implies that e-commerce services in
MCI Communications Corp. in Sari affect behavioral consequences of consumer.
Friedman ANOVA: results from this table are used to calculate Chvprvf coefficient.
Table 2. The calculations of Friedman ANOVA (respondents to major hypothesis questions
questions Response items
Row No Very low low Average High Very
high
1 19 28 20 51 43 50
2 20 35 26 52 38 41
3 21 41 52 35 26 38
4 22 52 34 38 35 33
5 23 21 35 39 55 42
6 24 20 25 71 39 37
7 25 38 36 47 38 33
8 26 22 41 30 49 50
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
9
Sum 1536 257 269 363 323 324
Chi-square test
Using results from Friedman ANOVA, results from analysis of this questionnaire has been obtained as
follow:
With regard to table 2 and sig which has been under 0.05, it can say that e-commerce services in MCI
Communications Corp. in Sari affect behavioral consequences of consumer.
Table 3. Calculations of chi-square test for major hypothesis
Calculation of correlation coefficient of variables
using Chvprvf coefficient:
Positive p-value indicates effect of e-commerce services in MCI Communications Corp. in Sari on
behavioral consequences of consumer with the correlation coefficient (0.47).
Studying the first secondary research hypothesis
Website services of MCI Communications Corp. in Sari affect consumer satisfaction.
H0: Website services of MCI Communications Corp. in Sari do not affect consumer satisfaction.
H1: Website services of MCI Communications Corp. in Sari affect consumer satisfaction.
Binominal Test
Table 4. Binominal Test for the first secondary research hypothesis
Binomial Test
Category N Observed
Prop.
Test Prop. Asymp. Sig. (1-
tailed)
consumer
satisfaction
Group
1
<= 3 53 .28 60. .022a
Group
2
> 3 139 .72
Total 192 1.00
Since sig is under 0.05 and assumed ration of test (0.60) is greater than the observed ratio (0.28), null
hypothesis is rejected and alternative hypothesis is confirmed. This implies that Website services of
MCI Communications Corp. in Sari affect consumer satisfaction.
Friedman ANOVA: results from this table are used to calculate Chvprvf coefficient.
Table 5. The calculations of Friedman ANOVA (respondents to first secondary research hypothesis
questions)
questions Response items
Major
variable
000/689a
Freedom degree 4
Sig 032/0
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
10
Row No Very low low Average High Very high
1 15 29 33 52 49 29
2 16 31 52 48 29 32
3 17 28 32 62 32 37
4 18 19 39 33 52 49
Sum 767 107 156 195 162 147
Chi-square test
Using results from Friedman ANOVA, results from analysis of this questionnaire has been obtained as
follow:
With regard to table 5 and sig which has been under 0.05, it can say that Website services of
MCI Communications Corp. in Sari affect consumer satisfaction.
Table 6. Calculations of chi-square test for first secondary research hypothesis
Major
variable
000/722 a
Freedom degree 4
Sig 028/0
Calculation of correlation coefficient of variables using Chvprvf coefficient:
Positive p-value indicates effect of Website services of MCI Communications Corp. in Sari on consumer
satisfaction with the correlation coefficient (0.69).
Studying the second secondary research hypothesis
Website services of MCI Communications Corp. in Sari affect consumer loyalty.
H0: Website services of MCI Communications Corp. in Sari do not affect consumer loyalty.
H1: Website services of MCI Communications Corp. in Sari affect consumer loyalty.
Binominal Test
Table 7. Binominal Test for the second secondary research hypothesis
Binomial Test
Category N Observed
Prop.
Test Prop. Asymp. Sig. (1-
tailed)
consumer
loyalty
Group
1
<= 3 119 .62 60. .062a
Group
2
> 3 73 .38
Total 192 1.00
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
11
Since sig is greater than 0.05 and assumed ration of test (0.60) is less than the observed ratio (0.62), null
hypothesis is confirmed and alternative hypothesis is rejected. This implies that Website services of
MCI Communications Corp. in Sari affect consumer loyalty.
Studying the third secondary research hypothesis
Website services of MCI Communications Corp. in Sari affect consumer trust.
H0: Website services of MCI Communications Corp. in Sari do not affect consumer trust.
H1: Website services of MCI Communications Corp. in Sari affect consumer trust.
Binominal Test
Table 8. Binominal Test for the third secondary research hypothesis
Binomial Test
Category N Observed
Prop.
Test Prop. Asymp. Sig. (1-
tailed)
consumer
trust
Group
1
<= 3 138 .72 60. .068a
Group
2
> 3 54 .28
Total 192 1.00
Since sig is less than 0.05 and assumed ration of test (0.60) is greater than the observed ratio (0.72), null
hypothesis is confirmed and alternative hypothesis is rejected. This implies that Website services of
MCI Communications Corp. in Sari affect consumer trust.
Studying the fourth secondary research hypothesis
Mobile services of MCI Communications Corp. in Sari affect consumer satisfaction.
H0: Mobile services of MCI Communications Corp. in Sari do not affect consumer satisfaction.
H1: Mobile services of MCI Communications Corp. in Sari affect consumer satisfaction.
Binominal Test
Table 9. Binominal Test for the fourth secondary research hypothesis
Binomial Test
Category N Observed
Prop.
Test Prop. Asymp. Sig. (1-
tailed)
consumer
satisfaction
Group
1
<= 3 87 .45 60. .038a
Group
2
> 3 105 .55
Total 192 1.00
Since sig is less than 0.05 and assumed ration of test (0.60) is greater than the observed ratio (0.45), null
hypothesis is rejected and alternative hypothesis is confirmed. This implies that Mobile services of
MCI Communications Corp. in Sari affect consumer satisfaction.
Friedman ANOVA: results from this table are used to calculate Chvprvf coefficient.
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
12
Table 10. The calculations of Friedman ANOVA (respondents to fourth secondary research
hypothesis questions)
questions Response items
Row No Very low low Average High Very high
1 1 39 20 45 49 39
2 2 35 32 48 31 46
3 3 28 33 62 32 37
4 4 34 37 40 42 39
5 5 19 53 37 24 59
Sum 960 155 175 232 178 220
Chi-square test
Using results from Friedman ANOVA, results from analysis of this questionnaire has been obtained as
follow:
With regard to table 10 and sig which has been under 0.05, it can say that Mobile services of
MCI Communications Corp. in Sari affect consumer satisfaction.
Table 11. Calculations of chi-square test for fourth secondary research hypothesis
Major
variable
000/722 a
Freedom degree 4
Sig 026/0
Calculation of correlation coefficient of variables using Chvprvf coefficient:
Positive p-value indicates effect of Mobile services of MCI Communications Corp. in Sari on consumer
satisfaction with the correlation coefficient (0.61).
Studying the fifth secondary research hypothesis
Mobile services of MCI Communications Corp. in Sari affect consumer loyalty.
H0: Mobile services of MCI Communications Corp. in Sari do not affect consumer loyalty.
H1: Mobile services of MCI Communications Corp. in Sari affect consumer loyalty.
Binominal Test
Table 12. Binominal Test for the fifth secondary research hypothesis
Binomial Test
Category N Observed
Prop.
Test Prop. Asymp. Sig. (1-
tailed)
consumer
loyalty
Group
1
<= 3 73 .38 60. .028a
Group > 3 119 .62
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
13
2
Total 192 1.00
Since sig is less than 0.05 and assumed ration of test (0.60) is greater than the observed ratio (0.38), null
hypothesis is rejected and alternative hypothesis is confirmed. This implies that Mobile services of
MCI Communications Corp. in Sari affect consumer loyalty.
Friedman ANOVA: results from this table are used to calculate Chvprvf coefficient.
Table 13. The calculations of Friedman ANOVA (respondents to fifth secondary research
hypothesis questions)
questions Response items
Row No Very low low Average High Very high
1 6 39 40 45 51 49
2 7 45 22 58 33 66
3 8 15 23 72 52 30
Sum 640 99 85 175 136 145
Chi-square test
Using results from Friedman ANOVA, results from analysis of this questionnaire has been obtained as
follow:
With regard to table 13 and sig which has been under 0.05, it can say that Mobile services of
MCI Communications Corp. in Sari affect consumer loyalty.
Table 14. Calculations of chi-square test for fifth secondary research hypothesis
Major
variable
000/682 a
Freedom degree 4
Sig 029/0
Calculation of correlation coefficient of variables using Chvprvf coefficient:
Positive p-value indicates effect of Mobile services of MCI Communications Corp. in Sari on consumer
loyalty with the correlation coefficient (0.72).
Studying the sixth secondary research hypothesis
Mobile services of MCI Communications Corp. in Sari affect consumer trust.
H0: Mobile services of MCI Communications Corp. in Sari do not affect consumer trust.
H1: Mobile services of MCI Communications Corp. in Sari affect consumer trust.
Binominal Test
Table 15. Binominal Test for the sixth secondary research hypothesis
Binomial Test
Category N Observed Test Prop. Asymp. Sig. (1-
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
14
Prop. tailed)
consumer
trust
Group
1
<= 3 87 .45 60. .038a
Group
2
> 3 105 .55
Total 192 1.00
Since sig is under 0.05 and assumed ration of test (0.60) is greater than the observed ratio (0.45), null
hypothesis is rejected and alternative hypothesis is confirmed. This implies that Mobile services of
MCI Communications Corp. in Sari affect consumer trust.
Friedman ANOVA: results from this table are used to calculate Chvprvf coefficient.
Table 16. The calculations of Friedman ANOVA (respondents to sixth secondary research
hypothesis questions)
questions Response items
Row No Very low low Average High Very high
1 9 39 20 45 39 49
2 10 39 32 48 27 46
3 11 18 33 54 50 37
Sum 576 96 85 147 116 132
Chi-square test
Using results from Friedman ANOVA, results from analysis of this questionnaire has been obtained as
follow:
With regard to table 16 and sig which has been under 0.05, it can say that Mobile services of
MCI Communications Corp. in Sari affect consumer trust.
Table 17. Calculations of chi-square test for sixth secondary research hypothesis
Major
variable
000/692 a
Freedom degree 4
Sig 030/0
Calculation of correlation coefficient of variables using Chvprvf coefficient:
Positive p-value indicates effect of Mobile services of MCI Communications Corp. in Sari on consumer
trust with the correlation coefficient (0.77).
Studying the seventh secondary research hypothesis
ATM services of MCI Communications Corp. in Sari affect consumer satisfaction.
H0: ATM services of MCI Communications Corp. in Sari do not affect consumer satisfaction.
H1: ATM services of MCI Communications Corp. in Sari affect consumer satisfaction.
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
15
Binominal Test
Table 18. Binominal Test for the seventh secondary research hypothesis
Binomial Test
Category N Observed
Prop.
Test Prop. Asymp. Sig. (1-
tailed)
consumer
satisfaction
Group
1
<= 3 38 .19 60. .010a
Group
2
> 3 154 .81
Total 192 1.00
Since sig is under 0.05 and assumed ration of test (0.60) is greater than the observed ratio (0.19), null
hypothesis is rejected and alternative hypothesis is confirmed. This implies that ATM services of
MCI Communications Corp. in Sari affect consumer satisfaction.
Friedman ANOVA: results from this table are used to calculate Chvprvf coefficient.
Table 19. The calculations of Friedman ANOVA (respondents to seventh secondary research
hypothesis questions)
questions Response items
Row No Very low low Average High Very high
1 12 39 20 45 49 39
2 13 35 32 48 31 46
3 14 28 33 62 32 37
Sum 536 102 85 155 112 122
Chi-square test
Using results from Friedman ANOVA, results from analysis of this questionnaire has been obtained as
follow:
With regard to table 19 and sig which has been under 0.05, it can say that ATM services of
MCI Communications Corp. in Sari affect consumer satisfaction.
Table 20. Calculations of chi-square test for seventh secondary research hypothesis
Major
variable
000/814 a
Freedom degree 4
Sig 013/0
Calculation of correlation coefficient of variables using Chvprvf coefficient:
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
16
Positive p-value indicates effect of ATM services of MCI Communications Corp. in Sari on consumer
satisfaction with the correlation coefficient (0.86).
Studying the eighth secondary research hypothesis
ATM services of MCI Communications Corp. in Sari affect consumer loyalty.
H0: ATM services of MCI Communications Corp. in Sari do not affect consumer loyalty.
H1: ATM services of MCI Communications Corp. in Sari affect consumer loyalty.
Binominal Test
Table 21. Binominal Test for the eighth secondary research hypothesis
Binomial Test
Category N Observed
Prop.
Test Prop. Asymp. Sig. (1-
tailed)
consumer
loyalty
Group 1 <= 3 132 .68 60. .078a
Group 2 > 3 60 .32
Total 192 1.00
Since sig is under 0.05 and assumed ration of test (0.60) is greater than the observed ratio (0.28), null
hypothesis is rejected and alternative hypothesis is confirmed. This implies that ATM services of
MCI Communications Corp. in Sari affect consumer loyalty.
Studying the ninth secondary research hypothesis
ATM services of MCI Communications Corp. in Sari affect consumer trust.
H0: ATM services of MCI Communications Corp. in Sari do not affect consumer trust.
H1: ATM services of MCI Communications Corp. in Sari affect consumer trust.
Binominal Test
Table 24. Binominal Test for the ninth secondary research hypothesis
Binomial Test
Category N Observed
Prop.
Test Prop. Asymp. Sig. (1-
tailed)
consumer
trust
Group
1
<= 3 124 .64 60. .071a
Group
2
> 3 68 .36
Total 192 1.00
Since sig is under 0.05 and assumed ration of test (0.60) is greater than the observed ratio (0.28), null
hypothesis is confirmed and alternative hypothesis is rejected. This implies that ATM services of
MCI Communications Corp. in Sari do not affect consumer trust.
Conclusion and suggestions
The present research was conducted to expand research on study on effect of internet and quasi-internet
services on consumer’s behavioral consequences via Friedman ANOVA, chi-square and Chvprvf
coefficient to achieve the reactions and future of consumer’s behavior in internet and quasi-internet
purchase. Results from research were examined via Shan and Yanji model (2006) so as to display
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
17
behavioral consequences of consumer in internet and quasi-internet services of MCI Communications
Corp. in Sari. Results indicated that all the related factors and variables of e-commerce services affect
behavioral consequences of consumer except the second, third, eighth and ninth secondary hypotheses.
The researchers are suggested to conduct a research with the same title in other firms and compare its
results with the present research so as to know whether a significant relationship exists between internet
and quasi-internet services and behavioral consequences of consumer or not. Other researchers are
suggested to compare e-commerce with one of the related factors of consumer behavior such as
satisfaction, trust, loyalty so as to discover the commonalities and differences with this research. Other
researchers are suggested to compare other combined models of e-commerce and behavioral
consequences of consumer with the model used in this research. Other researchers are suggested to
conduct this research in next studies via a comparative approach between two other firms so as to know
what result comes from the relationship between internet and quasi-internet services and behavioral
consequences of consumer. The researchers are suggested to propose the mediating variable such as
gender or education with the mediating role in the research with the same title so as to compare it with
this research.
References:
Berners-Lee, T. (1998). What the semantic web can represent. http://
www.w3.org/designingIsses/RDFont .html (last modified sept. 17, 1998.
Bignal, sayed mahbubur & Bengal Robert. (2001) Internet commerce and software agents Hershey: Idea
Group.
Castro, Carmen Barroso, Armario, Enrique Martın, and Ruiz, David Martın (2007) The influence of
market heterogeneity on the relationship between a destination’s image and tourists’ future
ehavior. Tourism Management, 28, pp. 175–187.
Cho, Namajae, Park, Sangyauk (2001) Development of ehaviorc commerce user-consumer satisfaction
index (ECUSI) for internet shopping. Industrial Management and Data Systems. 101, 8, pp. 401-
405.
Chou, Y. H. (2005). “Critical Factors of the Buyer Decision Process Model in Business-to-cCustomer
(B2C) E-commerce in Taiwan”, Dissertation submitted to the Faculty of College of Business and
Management in partial fulfillment of the requirements for the Degree of Doctor of Philisophy.
Lynn university.
Gordon, R. Foxall & Ronald. E. Goldsmit (1994) Consumer psychology for marketing. First publication.
London.
Guptaa, Alok; Sub, Bo-chiuan; Walter, Zhiping (2004) Risk profile and consumer shopping behavior in
electronic and traditional channels. Decision Support Systems. 38, pp. 347– 367.
Hirschman,Elizabeth C, and Morris B.Holbrook, 1982, Hedonic Consumption, Methods and Propositions,
Journal of Marketing, 92-101.
Levitt, Theodore, Marketing Myopia, Harward Business Review, pp.24-47.
Lin, chia Chin (2003) A Critical Appraisal of Customer Satisfaction and E-Commerces. Managerial
Accounting Journal. 8,3,pp. 202-212.
MC Nealy, Roderick M., (1996) Making customer satisfaction happens, first edition, London.
International Academic Journal of Accounting and Financial Management,
Vol. 2, No. 12, pp. 1-18.
18
Narver,J.C&Slater,s.f.(1990);" additional thoughts on the measurement of consumers behavior : a
comment on deshpande and Farley".journal of market management,2,213-230.
Shun, Cai, and yunjie, Xu(2006) Effects of outcome, process and shopping enjoyment on online
consumer behaviour. Electronic Commerce Research and Applications. 5, pp. 272–281.
Srinivasan, Sirini, S.; Anderson, Rolph; and Pannavolu, Kishore (2002) Customer Loyalty in e
commerce: an exploration of its antecedents and Consequences, Journal of Retailing, 78, pp. 41-
50.
Taylor,F.(1961);" Scientific Management "
Weits, Barton. A. Castle berns. Stephen Bryon. Tanner, John F. SELLING (2000) Building partnership. 4
Th ed. Boston: McGraw-hill.
Welling,patricia,1995"The Automated Will: Non conscious Activation and Pursuit of Behavioral Goals"
Journal of Personality and Social Psychology51, 5, 101-127.
Welling,patricia,1995"The Automated Will: Non conscious Activation and Pursuit of Behavioral Goals"
Journal of Personality and Social Psychology51, 5, 101-127.
Zaltman, (2003), “How Customers Think? Essential Insights into the Mindof the Market”; Boston,
Massachusetts: Harvard Business School Press
Zeitmal, V.A, 1988, Consumer Perception of Price, Quality, and Value: A Means-End Model and
Synthesis of Evidence, Duke university Publication, p 12-14.
Zemgyn,A.(2003);"E-Commerce in the third Millenium",Journal of consumer Marketing , volume 20 .
number 2 , pp 127-138 .
Zikmund, William. D’Amico Michael. (2001)Creating & Keeping customer in e-commerce world. USA.