The Relative Importance of Computer Self-efficacy, Perceived Ease-of-Use and Reducing Search Cost in Determining Consumers’ Online Group-buying Intention

R. Jeng, S.M. Tseng

Abstract


In order to shop in the online groupbuying
(OGB) websites, consumers should
have a certain ability to utilize computer and
the Internet. Therefore, this study explores the
relative importance of computer self-efficacy and
perceived ease-of-use in determining consumers’
OGB intention. Moreover, different from the direct
online shopping, OGB would allow the group of
consumers to get a special discount, and incentives
for saving money are more likely to characterize
the major concern of consumers’ engaging in
OGB. This study thus further explains the effect
of reducing search cost on OGB intention. The
result shows that computer self-efficacy has an
indirect influence on customers' intention to use
OGB through the mediation of perceived ease-ofuse;
while, reducing search cost is an important
factor that directly affects customer' intention
to use OGB. This approach provides valuable
suggestions that allow OGB vendors to enhance
customers’ OGB intention.


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References


R.J. Kauffman, B. Wang, New buyers’arrival

under dynamic pricing market microstructure:

The case of group-buying discounts on the

Internet, Journal of Management Information

Systems, 18 (2001) 157-188.

A. Pelaez, M.Y. Yu, K.R. Lang, Social Buying:

The Effects of Group Size and Communication

on Buyer Performance, International Journal of

Electronic Commerce, 18 (2013) 127-157.

H.-H. Cheng, S.-W. Huang, Exploring

antecedents and consequence of online groupbuying

intention: An extended perspective on

theory of planned behavior, International Journal

of Information Management, 33 (2013) 185-198.

R.J. Kauffman, B. Wang, Bid together, buy

together: On the efficacy of group-buying

business model in Internet-based selling, in:

P.B. Lowry, J.O. Cherrington, R.R. Watson (Eds.)

Handbook of electronic commerce in business

and society, Baca Raton, FL: CRC Press, 2002.

R.Y. Wang, J.H. Wang, C.J. Chuang, The Influence

of Electronic Word-of-Mouth to Online Collective

Purchasing Intention, Chung Yuan Management

Review (in Chinese), 10 (2012) 1-33.

H.C. Ko, S.H. Wang, Understanding Consumer

Intentions toward Online Shopping in the Metal

Industry, Journal of E-Business (in Chinese), 13

(2011) 649-672.

S.-h. Liao, P.-h. Chu, Y.-j. Chen, C.-C. Chang,

Mining customer knowledge for exploring online

group buying behavior, Expert Systems with

Applications, 39 (2012) 3708-3716.

[

Z. Zhang, Z. Zhang, F. Wang, R. Law, D. Li, Factors

influencing the effectiveness of online group

buying in the restaurant industry, International

Journal of Hospitality Management, 35 (2013)

-245.

W.M. Lim, D.H. Ting, Consumer acceptance and

continuance of online group buying, The Journal

of Computer Information Systems, 54 (2014) 87-

M.-T. Tsai, N.-C. Cheng, K.-S. Chen,

Understanding online group buying intention:

the roles of sense of virtual community and

technology acceptance factors, Total Quality

Management & Business Excellence, 22 (2011)

-1104.

M.-H. Hsu, C.-M. Chang, K.-K. Chu, Y.-J. Lee,

Determinants of repurchase intention in online

group-buying: The perspectives of DeLone &

McLean IS success model and trust, Computers

in Human Behavior, 36 (2014) 234-245.

W.-L. Shiau, M.M. Luo, Factors affecting online

group buying intention and satisfaction: A social

exchange theory perspective, Computers in

Human Behavior, 28 (2012) 2431-2444.

N. Mohd Suki, N. Mohd Suki, Modeling the

determinants of consumers' attitudes toward

online group buying: Do risks and trusts

matters?, Journal of Retailing and Consumer

Services, 36 (2017) 180-188.

K. Chen, J.V. Chen, D.C. Yen, Dimensions of selfefficacy

in the study of smart phone acceptance,

Computer Standards & Interfaces, 33 (2011) 422-

A. Bandura, Self-efficacy: toward a unifying

theory of behavioral change Psychological

Review, 84 (1977) 191-215.

A. Bandura, Social foundations of thought and

action: A social cognitive theory, Prentice Hall,

Englewood Cliffs. NJ, 1986.

R.F. Mager, No self-efficacy, no performance,

Training, 29 (1992) 32-36.

J.K. Oostrom, D. van der Linden, M.P. Born, H.T.

van der Molen, New technology in personnel

selection: How recruiter characteristics affect the

adoption of new selection technology, Computers

in Human Behavior, 29 (2013) 2404-2415.

D. Compeau, C. Higgins, Computer self-efficacy:

Development of a measure and initial test, MIS

Quarterly, 19 (1995) 189-211.

P. Longstreet, X. Xiao, S. Sarker, Computer-

Related Task Performance: A new perspective,

Information & Management, 53 (2016) 517-527.

F.D. Davis, Perceived usefulness, perceived

ease-of-use, and user acceptance of information

technology, MIS Quarterly 13 (1989) 319-340.

M. Fishbein, I. Ajzen, Belief, Attitude, Intention

and Behavior: An Introduction to Theory and

Research, Addsion-Wesley, Reading, MA, 1975.

V. Venkatesh, F.D. Davis, A model of the

antecedents of perceived ease- of-use:

Development and test, Decision Sciences, , 27

(1996) 451-481.

A.-M. Cazan, E. Cocoradă, C.I. Maican, Computer

anxiety and attitudes towards the computer

and the internet with Romanian high-school

and university students, Computers in Human

Behavior, 55 (2016) 258-267.

L.G. Schiffman, L.L. Kanuk, Consumer Behavior,

Prentice Hall International, Inc., New Jersey,

R. Mehta, E. Sivadas, Direct marketing on the

Internet: an empirical assessment of consumer

attitudes, Journal of Direct Marketing, 9 (1995)

-32.

L.R. Vijayasarathy, Predicting consumer

intentions to use on-line shopping: the case for

an augmented technology acceptance model,

Information & Management, 41 (2004) 747-762.

J.V. Chen, D.C. Yen, K. Chen, The acceptance

and diffusion of the innovative smart phone use:

A case study of a delivery service company in

logistics, Information & Management, 46 (2009)

-248.

H. Lu, Y.-p. Hu, J.-j. Gao, Kinshuk, The effects

of computer self-efficacy, training satisfaction

and test anxiety on attitude and performance in

computerized adaptive testing, Computers &

Education, 100 (2016) 45-55.

H. Van der Heijden, Factors influencing the

usage of websites: the case of a generic portal in

The Netherlands, Information & Management,

(2003) 541-549.

A.D. Smith, Information exchanges associated

with Internet travel marketplaces, Online

Information Review, 28 (2004) 292-300.

J.C. Roca, M. Gagne, Understanding e-learning

continuance intention in the workplace: a selfdetermination

theory perspective , Computers

in Human Behavior, 24 (2008) 1585-1604.

J.A. Smith, S.A. Sivo, Predicting continued use

of online teacher professional development and

the influence of social presence and sociability,

British Journal of Educational Technology, 43

(2012) 871-882.

Y. Sun, A. Jeyaraj, Information technology

adoption and continuance: A longitudinal study

of individuals’ behavioral intentions, Information

& Management, 50 (2013) 457-465.

L.F. Rodrigues, A. Oliveira, C.J. Costa, Playing

seriously – How gamification and social cues

influence bank customers to use gamified

e-business applications, Computers in Human

Behavior, 63 (2016) 392-407.

J.Y. Bakos, B.R. Nault, Ownership and Investment

in electronic networks, Information Systems

Research, 8 (1997) 321-342.

T.P. Liang, J.S. Huang, An empirical study on

consumer acceptance of products in electronic

markets: a transaction cost model, Decision

Support Systems, 24 (1998) 29-43.

J.G. Lynch, D. Ariely, Wine online: Search

costs affect competition on price, quality, and

distribution, Marketing Science, 19 (2000) 83-103.

T.S.H. Teo, Y. Yu, Online buying behavior: a

transaction cost economics perspective, Omega,

(2005) 451-465.

S. Döring, W. Kießling, T. Preisinger, S. Fischer,

Evaluation and optimization of the catalog search

process of e-procurement platforms, Electronic

Commerce Research and Applications, 5 (2006)

-56.

A.C. Kutlu, Outsourcing Contracting Strategies

from Supplier's Side: A Real Options Approach

Based on Transaction Costs, Procedia - Social and

Behavioral Sciences, 58 (2012) 1601-1610.

M.R. Solomon, Consumer Behavior: Buying,

Having and Being, 11 ed., Prentice Hall2014.

C. Lopez-Nicolas, F.J. Molina-Castillo, Customer

Knowledge Management and E-commerce: The

role of customer perceived risk, International

Journal of Information Management, 28 (2008)

-113.

Z. Tang, M.D. Smith, A. Montgomery, The

impact of shopbot use on prices and price

dispersion: Evidence from online book retailing,

International Journal of Industrial Organization,

(2010) 579-590.

A. Díaz, M. Gómez, A. Molina, A comparison

of online and offline consumer behaviour: An

empirical study on a cinema shopping context,

Journal of Retailing and Consumer Services, 38

(2017) 44-50.

D. Biswas, Economics of information in the web

economy: Towards a new theory?, Journal of

Business Research, 57 (2004) 724-733.

C.Y. Shao, J.A. Baker, J. Wagner, The effects of

appropriateness of service contact personnel

dress on customer expectations of services

quality and purchase intention: the moderating

influences of involvement and gender., Journal of

Business Research, 57 (2004) 1164-1176.

C.Y. Li, Y.C. Kub, S.T. Lub, Understanding

continuance intention of group buying: a

perspective of transaction cost theory, Journal of

e-Business (in Chinese), 15 (2013) 491-518.

L.-Y. Wu, K.-Y. Chen, P.-Y. Chen, S.-L.

Cheng, Perceived value, transaction cost, and

repurchase-intention in online shopping: A

relational exchange perspective, Journal of

Business Research, 67 (2014) 2768-2776.

C. Fornell, J. Cha, Partial Least Squares, in: R.P.

Bagozzi (Ed.) Advanced Methods of Marketing

Research, Blackwell, Cambridge, MA, 1994.

W.W. Chin, The partial least squares approach

for structural equation modeling, in: G.A.

Marcoulides (Ed.) Modern methods for business

research, Lawrence Erlbaum Associates,

Mahwah, NJ, 1998, pp. 295-336

C.M. Ringle, S. Wende, A. Will, Smart PLS,

University of Hamburg, Hamburg, Germany,

D. Gefen, D. Straub, A practical guide to factorial

validity using PLS-Graph: Tutorial and annotated

example, Communications of the AIS, 16 (2005)

-109.

J. Henseler, C. Ringle, R. Sinkovics, The

use of partial least squares path modeling

in international marketing, Advances in

International Marketing, 20 (2009) 277-319.

J.C. Nunnally, I.H. Bernstein, Psychometric

Theory, 3 ed., McGraw-Hill, New York, 1994.

J.F. Hair Jr., R.E. Anderson, R.L. Tatham, W.C.

Black, Multivariate Data Analysis, 5 ed., Prentice

Hall, Englewood Cliffs, NJ, 1998.

R.V. Bradley, J.L. Pridmore, T.A. Byrd,

Information systems success in the context

of different corporate cultural types: an

empirical investigation, Journal of Management

Information Systems 23 (2006) 267-294.

C. Fornell, D.F. Larcker, Evaluating structural

equation models with unobservable variables

and measurement error, Journal of Marketing

Research, 18 (1981) 39-50.

R. Scherer, F. Siddiq, Revisiting teachers’

computer self-efficacy: A differentiated view

on gender differences, Computers in Human

Behavior, 53 (2015) 48-57.

Y.-C. Chen, J.-H. Wu, L. Peng, R.C. Yeh, Consumer

benefit creation in online group buying: The

social capital and platform synergy effect and

the mediating role of participation, Electronic

Commerce Research and Applications, 14 (2015)

-513.

A. Bhatnagar, S. Misra, H.R. Rao, On risk,

convenience, and Internet shopping behavior,

Communications of the ACM, 43 (2000) 98-105.

K.H. Chen, H.M. Lee, Effect of dining blog

information disclosure on information

transmission and purchase intention, Journal

of Tourism and Travel Research (in Chinese), 7

(2012) 21-40.

S.-M. Tseng, M.-C. Lee, A study on information

disclosure, trust, reducing search cost, and online

group-buying intention, Journal of Enterprise

Information Management, 29 (2016) 903-918.

C.C. Lee, An empirical study on the effects of

information disclosure, trust and search cost on

consumers’ intention to authorize the real estate

brokerage industry - the example of Kaohsiung

city, Journal of Housing Studies (in Chinese), 17

(2008) 71-104.


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