Internet shopping acceptance

Purpose – The purpose of this paper is to examine the relationship between perceived ease of use, cognitive absorption (CA), perceived usefulness (PU) and fashion involvement (FI) with students' buying intentions.Design/methodology/approach – The paper is based on questionnaires distributed to a sample of Master of Business Administration students with a response rate of 84.2 percent. The data were analyzed with statistical tools such as descriptive analysis, factor analysis, reliability analysis and multiple regressions.Findings – The survey showed that PU, product search, search process, CA, FI, and online experience have a significant impact on online shopping, while the other two variables (i.e. CA and FI) do not have an impact on online shopping.Research limitations/implications – Future researchers are encouraged to include new variables and mediating variables in the research model and applying multivariate statistical data analysis such as structural equation modelling technique for interpreting r...

[1]  Richard A. Johnson,et al.  Applying the Technology Acceptance Model to the WWW , 2000 .

[2]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[3]  Christopher M. Miller,et al.  Toward Formalizing Fashion Theory , 1993 .

[4]  T. Ramayah,et al.  RECEPTIVENESS OF INTERNET BANKING BY MALAYSIAN CONSUMERS: THE CASE OF PENANG , 2003 .

[5]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[6]  Magid Igbaria,et al.  A Motivational Model of Microcomputer Usage , 1996, J. Manag. Inf. Syst..

[7]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[8]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[9]  Leo R. Vijayasarathy,et al.  Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model , 2004, Inf. Manag..

[10]  Yu-Chen Chen,et al.  Extrinsic versus intrinsic motivations for consumers to shop on-line , 2005, Inf. Manag..

[11]  Jennifer Rowley Retailing and shopping on the Internet , 1996 .

[12]  Ananth Srinivasan,et al.  Alternative Measures of Systems Effectiveness: Associations and Implications , 1985, MIS Q..

[13]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[14]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

[15]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[16]  U. Sekaran,et al.  Research Methods for Business : A Skill Building Approach (5th Edition) , 1992 .

[17]  Christopher M. Miller,et al.  Social utility and fashion behavior , 1992 .

[18]  Subhasish Dasgupta,et al.  User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model , 2002 .

[19]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[20]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[21]  John G. Lynch,et al.  Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces , 1997 .

[22]  Judy Chuan-Chuan Lin,et al.  Towards an understanding of the behavioural intention to use a web site , 2000, Int. J. Inf. Manag..