Access the full text.
Sign up today, get DeepDyve free for 14 days.
S. Mcintyre, Christopher Miller (1992)
Social utility and fashion behaviorMarketing Letters, 3
Christopher Miller, S. Mcintyre, M. Mantrala (1993)
Toward Formalizing Fashion TheoryJournal of Marketing Research, 30
Richard Johnson, Michael Hignite (2000)
Applying the Technology Acceptance Model to the WWWJournal of Management Information and Decision Sciences, 3
V. Venkatesh, Fred Davis (2000)
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field StudiesManagement Science, 46
Fred Davis, R. Bagozzi, P. Warshaw (1989)
User Acceptance of Computer Technology: A Comparison of Two Theoretical ModelsManagement Science, 35
Judy Lin, Hsi-Peng Lu (2000)
Towards an understanding of the behavioural intention to use a web siteInt. J. Inf. Manag., 20
M. Fishbein, I. Ajzen (1977)
Belief, Attitude, Intention, and Behavior: An Introduction to Theory and ResearchContemporary Sociology, 6
U. Sekaran, Jonathan Bougie (1992)
Research Methods for Business : A Skill Building Approach (5th Edition)
R.A. Shang, Y.C. Chen, L. Shen
Consumer's acceptance of internet shopping: intrinsic versus extrinsic motivations
Leo Vijayasarathy (2004)
Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance modelInf. Manag., 41
F.D. Davis, R.P. Bagozzi, P.R. Warshaw
User acceptance of technology: a comparison of two theoretical models
Matrade
Moving the MSC towards becoming a world‐class technology hub
N. Mohd Suki, A. Mohd Ismail, V. Thyagarajan, N. Mohd Suki
A study on the effect of normative belief on online shopping innovativeness: structural equation modeling analysis
J. Moon, Young-Gul Kim (2000)
Extending the TAM for a World-Wide-Web contextInf. Manag., 38
M. Igbaria, S. Parasuraman, Jack Baroudi (1996)
A Motivational Model of Microcomputer UsageJ. Manag. Inf. Syst., 13
M. Koufaris (2002)
Applying the Technology Acceptance Model and Flow Theory to Online Consumer BehaviorInf. Syst. Res., 13
M. Igbaria, T. Guimaraes, G. Davis (1995)
Testing the Determinants of Microcomputer Usage via a Structural Equation ModelJ. Manag. Inf. Syst., 11
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
A. Srinivasan (1985)
Alternative Measures of Systems Effectiveness: Associations and ImplicationsMIS Q., 9
U. Sekaran
Research Method for Business – A Skill Building Approach
Lei-da Chen, M. Gillenson, D. Sherrell (2002)
Enticing online consumers: an extended technology acceptance perspectiveInf. Manag., 39
J. Alba, John Lynch, Barton Weitz, Chris Janiszewski, R. Lutz, Alan Sawyer, Stacy Wood (1997)
Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic MarketplacesJournal of Marketing, 61
S.H. McIntyre, C.M. Miller
Social utilities and fashion theory
Verdict
Verdict on e‐Shopping and e‐Retail
S. Dasgupta, M. Granger, N. McGarry (2002)
User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance ModelGroup Decision and Negotiation, 11
Rong-An Shang, Yu-Chen Chen, Lysander Shen (2005)
Extrinsic versus intrinsic motivations for consumers to shop on-lineInf. Manag., 42
Ritu Agarwal, Elena Karahanna (2000)
Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology UsageMIS Q., 24
J. Rowley (1996)
Retailing and shopping on the InternetInternet Res., 6
International Herald Tribune
Online fashion shopping finally comes of age
Thurasamy Ramayah, M. Jantan, Mohd Nasser, Mohd Noor, Koay Ling, R. Razak (2003)
RECEPTIVENESS OF INTERNET BANKING BY MALAYSIAN CONSUMERS: THE CASE OF PENANGAsian Academy of Management Journal, 8
N. Mohd Suki
A closer look at malaysian internet users' motivation towards online shopping
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 results. Practical implications – Data about consumer acceptance of internet shopping are invaluable to e‐retailers. It was suggested that e‐retailers need to advertise and promote their latest products and update their web site regularly by stressing issues on the ease of use, the usefulness and the reliability of online shopping. Originality/value – This research provides additional perspectives on internet shopping among Malaysian consumers.
Direct Marketing An International Journal – Emerald Publishing
Published: Jun 4, 2008
Keywords: Internet shopping; Consumer behaviour; Students; Motivation (psychology); Malaysia
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.