More Web Proxy on the site http://driver.im/

article

Perceptual antecedents of user attitude in electronic commerce

Authors:

Marios KoufarisAuthors Info & Claims

ACM SIGMIS Database: the DATABASE for Advances in Information Systems, Volume 37, Issue 2-3

Pages 42 - 50

https://doi.org/10.1145/1161345.1161353

Published: 19 September 2006 Publication History

Abstract

This paper examines three cognitive antecedents of Web user attitude toward a commercial website -- perceived informativeness, perceived entertainment, and perceived irritation. We tested the theoretical relationships between the three cognitive antecedents, attitude toward the site, and intention to return to the site using Partial Least Squares (PLS) with data collected in a field study of three e-commerce websites. The model explains a high percentage of the variance in attitude toward the site and intention to return and all the coefficients in the model are significant. We conclude that both perceived informativeness and perceived entertain-ment are significantly and positively related to attitude toward the site, while perceived irritation is significantly and negatively related to attitude toward the site. We also conclude that attitude toward the site is significantly and positively related to a user's intention to return to the site.

References

[1]

Aaker, D.A. (1995). Managing Brand Equity, New York: Free Press.

[2]

Aaker, D.A. and Bruzzone, D.E. (1985). "Causes of Irritation in Advertising," Journal of Marketing, Vol.49, No.2, pp. 47--57.

[3]

Aaker, D. A. and Stayman, D.M. (1992). "Implementing the Concept of Transformational Advertising," Psychology & Marketing, Vol. 9, No. 3, pp. 237--253.

[4]

Ajzen, I., and Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs, NJ: Prentice-Hall.

[5]

Bartos, R., and Dunn, T.F. (1974). The Consumer View of Advertising, New York: American Association of Advertising Agencies.

[6]

Bauer, R.A., and Greyser, S.A. (1968). Advertising in America Consumer View, Boston, MA: Harvard University Press.

[7]

Brown, S.P. and Stayman, D.M. (1992). "Antecedents and Cconsequences of Attitude Toward the Ad: A Meta-analysis," Journal of Consumer Research, Vol. 19, No. 1, pp. 34--51.

[8]

Chen, Q. and Wells, W.D. (1999). "Attitude Toward the Site," Journal of Advertising Research, Vol. 39, No. 5, pp. 27--38.

[9]

Chin, W. W., and Frye, T. A. (1998). PLS-Graph, Version 3.0 Soft Modeling Inc.

[10]

Coyle, J.R. and Thorson, E. (2001). "The Effects of Progressive Levels of Interactivity and Vividness in Web Marketing Sites," Journal of Advertising, Vol.30, No.3, pp. 65--77.

[11]

Davis, F.D. (1989). "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Iinformation Ttechnology," MIS Quarterly, Vol. 13, No. 3, pp. 319--340.

Digital Library

[12]

Davis, F.D., Bagozzi, R.P., and Warshaw, P.R. (1989). "User Acceptance of Computer Technology: Comparison of Two Theoretical Models," Management Science, Vol. 35, No. 8, pp. 982--1003.

Digital Library

[13]

Ducoffe, R.H. (1995). "How Consumers Assess the Value of Advertising," Journal of Current Issues and Research in Advertising, Vol. 17, No. 1, pp. 1--18.

[14]

Ducoffe, R.H. (1996). "Advertising Value and Advertising on the Web," Journal of Advertising Research, Vol. 36, No. 5, pp. 21--34.

[15]

Eighmey, J. (1997). "Profiling User Responses to Commercial Websites," Journal of Advertising Research, Vol. 37, No. 3, pp. 59--66.

[16]

Falk, R. F., and Miller, N. B. (1992). A Primer on Soft Modeling, Akron, OH: The University of Akron Press.

[17]

Fishbein, M., and Ajzen, I. (1975). Belief Attitude, Intention and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley.

[18]

Gao, Y., Koufaris, M., and Ducoffe, R. (2004). "An Experimental Study of the Effects of Promotional Techniques in Web-based Ccommerce," Journal of Electronic Commerce in Organizations, Vol. 2, No. 3, pp. 1--20.

[19]

Gefen, D., Straub, D.W., and Boudreau, M.C. (2000). "Structural Equation Modeling and Regression: Guidelines for Research Practice," Communications of the AIS, Vol. 4, No. 7, pp. 1--78.

[20]

Greyser, S.A. (1973). "Irritation in Advertising," Journal of Advertising Research, Vol.13, No.1, pp. 3--10.

[21]

GVU's 10th Survey. (1998). GVU's 10th WWW User Survey, www.cc.gatech.edu/user_surveys/survey-1998-10 (accessed June 2004)

[22]

James, W.L. and Sonner, B.S. (2001). "Just Say No to Traditional Student Samples," Journal of Advertising Research, Vol. 41, No. 5, pp. 63--71.

[23]

Jarvenpaa, S.L. and Todd, P.T. (1997). "Consumer Reactions to Electronic Shopping on the World Wide Web," International Journal of Electronic Commerce, Vol. 1, No. 2, pp. 59--88.

Digital Library

[24]

Koufaris, M. (2002). "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, Vol. 13, No. 2, pp. 205--223.

Digital Library

[25]

Koufaris, M., Kambil, M.A., and Labarbera, P.A. (2001). "Consumer Behavior in Web-based Commerce: An Empirical Study," International Journal of Electronic Commerce, Vol. 6, No. 2, pp. 131--154.

Digital Library

[26]

McQuail, D. (1983). Mass Communication Theory: An Introduction, London: Sage Publications.

[27]

Mitchell, A. A. and Olson, J.C. (1981). "Are Product Attribute Beliefs the Only Mediator of Advertising Effects on Brand Attitudes?" Journal of Marketing Research, Vol. 18, No. 3, pp. 318--332.

[28]

Nielsen, J. (1996). Top Ten Mistakes in Web Design, www.useit.com/alertbox (accessed June 2004)

[29]

Nunnaly, J.C. (1967). Psychometric Theory, New York: McGraw-Hill.

[30]

Reicheld, F.F. and Sasser, W.E., Jr. (1990). "Zero Defections: Quality Comes to Services," Harvard Business Review, Vol. 68, No. 5, pp. 301--307.

[31]

Saltzer, E. (1981). "Cognitive Moderators of the Relationship between Behavioral Intentions and Behavior," Journal of Personality and Social Psychology, Vol. 41, No. 1, pp. 260--271.

[32]

Shimp, T.A. (1981). "Attitude Toward the Ad as a Mediator of Consumer Brand Choice," Journal of Advertising, Vol. 10, No. 2, pp. 9--15.

[33]

Simmons Marketing Data, (2000). Choices II, New York City: Simmons Marketing Data.

[34]

Warshaw, P.R. and Davis, F.D. (1985). "Disentangling Behavioral Iintention and Behavioral Expectation," Journal of Experimental Social Psychology, Vol. 21, No. 1, pp. 213--228.

[35]

Wright, C.R. (1974). "Functional Analysis and Mass Communication Revisited," in Blumler, J.G., and Katz, E. (Eds.), Current Perspectives on Gratification Research, Beverly Hills, CA: Sage Publications, pp. 197--212.

Cited By

Nabivi E(2025)The Role of Social Media in Green Marketing: How Eco-Friendly Content Influences Brand Attitude and Consumer EngagementSustainability10.3390/su1705196517:5(1965)Online publication date: 25-Feb-2025
https://doi.org/10.3390/su17051965
Moon HYoun CJung H(2024)The Effect of the Gamification of Brand Communication Using Personality Tests on Communication Attitude and Brand AttitudeJournal of the Korean Society of Costume10.7233/jksc.2024.74.2.08174:2(81-94)Online publication date: 30-Apr-2024
https://doi.org/10.7233/jksc.2024.74.2.081
Yin PAreeprayolkij W(2024)Exploring the Impact of Live-streaming Shopping On Chinese Customers’ Experience in the Domestic Cosmetic Industry2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)10.1109/ECTIDAMTNCON60518.2024.10480064(469-474)Online publication date: 31-Jan-2024
https://doi.org/10.1109/ECTIDAMTNCON60518.2024.10480064
Show More Cited By

Index Terms

Perceptual antecedents of user attitude in electronic commerce
1. Applied computing
  1. Document management and text processing
    1. Document preparation
      1. Multi / mixed media creation
  2. Electronic commerce
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Hypertext / hypermedia

Recommendations

Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior

This paper extends Ajzen's (1991) theory of planned behavior (TPB) to explain and predict the process of e-commerce adoption by consumers. The process is captured through two online consumer behaviors: (1) getting information and (2) purchasing a ...
The roles of habit and web site quality in e-commerce

Previous research has primarily examined consumers' perceived usefulness of web sites and trust in the web retailer as two major predictors of web site use and e-commerce adoption. While the consumers' repeated behavior in the past (i.e., habit) may ...
A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents

Are trust and risk important in consumers' electronic commerce purchasing decisions? What are the antecedents of trust and risk in this context? How do trust and risk affect an Internet consumer's purchasing decision? To answer these questions, we i) ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM SIGMIS Database: the DATABASE for Advances in Information Systems

ACM SIGMIS Database: the DATABASE for Advances in Information Systems Volume 37, Issue 2-3

Spring-Summer 2006

178 pages

ISSN:0095-0033

EISSN:1532-0936

DOI:10.1145/1161345

Issue’s Table of Contents

Copyright © 2006 Authors.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 September 2006

Published in SIGMIS Volume 37, Issue 2-3

Check for updates

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

56
Total Citations
View Citations
1,483
Total Downloads

Downloads (Last 12 months)90
Downloads (Last 6 weeks)6

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Nabivi E(2025)The Role of Social Media in Green Marketing: How Eco-Friendly Content Influences Brand Attitude and Consumer EngagementSustainability10.3390/su1705196517:5(1965)Online publication date: 25-Feb-2025
https://doi.org/10.3390/su17051965
Moon HYoun CJung H(2024)The Effect of the Gamification of Brand Communication Using Personality Tests on Communication Attitude and Brand AttitudeJournal of the Korean Society of Costume10.7233/jksc.2024.74.2.08174:2(81-94)Online publication date: 30-Apr-2024
https://doi.org/10.7233/jksc.2024.74.2.081
Yin PAreeprayolkij W(2024)Exploring the Impact of Live-streaming Shopping On Chinese Customers’ Experience in the Domestic Cosmetic Industry2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)10.1109/ECTIDAMTNCON60518.2024.10480064(469-474)Online publication date: 31-Jan-2024
https://doi.org/10.1109/ECTIDAMTNCON60518.2024.10480064
Agrawal ASharma DMishra MShah MAlam MKhandelwal V(2024)How to cook a meme: exploring content strategies in brand and user-generated memes on InstagramCogent Business & Management10.1080/23311975.2024.236600111:1Online publication date: 19-Jun-2024
https://doi.org/10.1080/23311975.2024.2366001
Gupta SPaul JStoner JAggarwal A(2024)Digital transformation, online advertising, and consumer behaviourInternational Journal of Advertising10.1080/02650487.2024.231763243:8(1439-1462)Online publication date: 22-Feb-2024
https://doi.org/10.1080/02650487.2024.2317632
Liu QYu SYang Y(2024)The effects of sponsorship disclosure in short-form video: A moderated mediation model of sponsorship literacy and perceived features of sponsored short-form videoComputers in Human Behavior10.1016/j.chb.2023.107969150(107969)Online publication date: Jan-2024
https://doi.org/10.1016/j.chb.2023.107969
Rzepka CBerger BKoslow AHess T(2023)Voice Assistant, Buy Coffee Capsules!: Understanding the Determinants of Consumers' Intention to Use Voice CommerceACM SIGMIS Database: the DATABASE for Advances in Information Systems10.1145/3614178.361418554:3(137-159)Online publication date: 4-Aug-2023
https://dl.acm.org/doi/10.1145/3614178.3614185
Manzoor Iul Haq Z(2023)Do advertisements with a social message elevate subjective well‐being?: An examination of empirical associationsBusiness and Society Review10.1111/basr.12325128:3(488-514)Online publication date: 9-Sep-2023
https://doi.org/10.1111/basr.12325
Hosain MMamun A(2023)Facebook-based social media marketing and Facebook-based online purchases: evidence from the Facebook page admins of selected South Asian fashion retailersJournal of Electronic Business & Digital Economics10.1108/JEBDE-03-2023-00052:2(191-212)Online publication date: 31-Aug-2023
https://doi.org/10.1108/JEBDE-03-2023-0005
Hosain MMamun A(2023)The nexus between social media advertising and customers’ purchase intention with the mediating role of customers’ brand consciousness: evidence from three South Asian countriesBusiness Analyst Journal10.1108/BAJ-06-2023-005344:2(84-105)Online publication date: 25-Sep-2023
https://doi.org/10.1108/BAJ-06-2023-0053
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Issue’s Table of Contents