Cited by 183Consumer Retail Behavior StudiesConsumer Market Behavior and PricingConsumer Behavior and Marketing Influence

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Modeling Influences on Impulse Purchasing Behaviors During Online Marketing Transactions

Zhang, Xiaoni, Prybutok, Victor R., Strutton, David·2007·Journal of Marketing Theory and Practice

Abstract

The online shopping environment still represents a comparatively new, and largely unexplored, marketing channel. Not surprisingly, little is understood regarding the nature of and influences on impulsive consumer purchases during online marketing exchanges. This paper investigates these and related issues. Associated results tentatively suggest that significant relationships may exist between gender, subjective norms, consumer impulsivity, purchase intention, and actual purchase behavior in online marketing environments. Managerial and theoretical implications are developed and discussed.

Overview

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Crossref · 10.2753/mtp1069-6679150106

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6 of 6 references verified0 citation errors · 0 not checkable

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Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 29

  1. Adams, Dennis A., Ryan Nelson, and Peter A. Todd (1992), "Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication," MIS Quarterly, 16 (2), 227-247. · DOI · Paper page
  2. Agarwal, Ritu, and Jayesh Prasad (1999), "Are Individual Differences Germane to the Acceptance of New Information Technologies?" Decision Sciences, 30 (2), 361-391. · DOI
  3. Ajzen, Icek, and B.L. Driver (1992), "Contingent Value Measurement: On the Nature and Meaning of Willingness to Pay," Journal of Consumer Psychology, 1 (4), 297-316. · DOI
  4. Ajzen, Icek, and Martin Fishbein (1980), Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs, NJ: Prentice Hall.
  5. Baumeister, Roy Frank (2002), "Yielding to Temptation: Self-Control Failure, Impulse Purchasing, and Consumer Behavior," Journal of Consumer Research, 28 (4), 670-677. · DOI · Paper page
  6. Bellman, Steven, Gerald L. Lohse, and Eric J. Johnson (1999), "Predictors of Online Buying Behavior," Communications of the ACM, 42 (12), 32-38. · DOI · Paper page
  7. Coley, Amanda, and Brigitte Burgess (2003), "Gender Differences in Cognitive and Affective Impulse Buying," Journal of Fashion Marketing & Management, 7 (3), 282-296. · DOI
  8. Cox, Keith (1964), "The Responsiveness of Food Sales to Shelf Space Changes in Supermarkets," Journal of Marketing Research, 1 (2), 63-67. · DOI
  9. Davis, Fred D. (1986), "Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results," Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge.
  10. Donthu, Naveen (1999), "The Internet Shopper," Journal of Advertising Research, 39 (3), 52-59.
  11. Fishbein, Martin, and Icek Ajzen (1975), Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley.
  12. Hausman, Angela (2000), "A Multi-Method Investigation of Consumer Motivations in Impulse Buying Behavior," Journal of Consumer Marketing, 17 (5), 403-426. · DOI
  13. Karahanna, E., D.W. Straub, and N.L. Chervany (1999), "Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs," MIS Quarterly, 23 (2), 183-213. · DOI
  14. Klein, Heine K., and Rudy A. Hirschheim (1989), "Legitimation in Information Systems Development: A Social Change Perspective," Information Technology & People, 5 (1), 29-47. · DOI
  15. Koufaris, Marios (2002), "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, 13 (2), 205-223. · DOI
  16. Lee, Julie Anne J. (2002), "The Influence of Culture on Consumer Impulse Buying Behavior," Journal of Consumer Psychology, 12 (2), 163-177.
  17. Patry, Alain L., and Luc G. Pelletier (2001), "Extraterrestrial Beliefs and Experiences: An Application of the Theory of Reasoned Action," Journal of Social Psychology, 141 (2), 199-218. · DOI
  18. Piron, Francis (1991), "Defining Impulse Purchasing," in Advances in Consumer Research, vol. 18, Rebecca Holman and Michael Solomon, eds., Provo, UT: Association for Consumer Research, 509-514.
  19. Pradeep, K. Korgaonkar (1999). "A Multivariate Analysis of Web Usage," Journal of Advertising Research, 39 (2), 53-68.
  20. Roberson, Joseph P., Peter R. Shaver, and Steven W. Lawrence (1991), "Criteria for Scale Selection and Evaluation," in Measures of Personality and Social Psychological Attitudes, Joseph P. Roberson, Phillip R. Shaver, and Lawrence S. Wright, San Diego: Academic Press, 1-15.
  21. Rook, Dennis (1987), "The Buying Impulse," Journal of Consumer Research, 14 (2), 189-199. · DOI · Paper page
  22. Rook, Dennis, and Robert Fisher (1995), "Normative Influences in Impulse Buying," Journal of Consumer Research, 22 (3), 305-313. · DOI · Paper page
  23. Schumacher, P., and J. Morahan-Martin (2001), "Gender, Internet, and Computer Attitudes and Experiences," Computers in Human Behavior, 17 (11), 95-110. · DOI · Paper page
  24. Stern, Hawkins (1962), "The Significance of Impulse Buying Today," Journal of Marketing, 26 (2), 59-62. · DOI · Paper page
  25. Venkatesh, Viswanath, and Fred D. Davis (1996), "A Model of the Antecedents of Perceived Ease of Use: Development and Test," Decision Sciences, 27 (3), 451-481. · DOI · Paper page
  26. Venkatesh, Viswanath, and Michael G. Morris (2000), "Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior," MIS Quarterly, 24 (1), 115-140. · DOI · Paper page
  27. Weinberg, Peter, and Wolfgang Gottwald (1982), "Impulse Consumer Buying as a Result of Emotions," Journal of Business Research, 10 (1), 43-48. · DOI
  28. Zhang, Xiaoni, and Victor Prybutok (2003), "Factors Contributing to Purchase Intentions on the Internet," Journal of Internet Commerce, 2 (1), 3-18. · DOI
  29. Zhang, Xiaoni, and Chang Koh (2006). "The Role of Impulsiveness in a TAM-Based Online Purchasing Behavior Model," Information Resources Management Journal, 19 (2), 54-68. · DOI

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Metadata

Authors
Zhang, X., Prybutok, V. R., & Strutton, D.
Affiliations
  • Northern Kentucky University (US)
  • University of North Texas (US)
Venue
Journal of Marketing Theory and Practice
Published
2007-01
Volume
15
Issue
1
Pages
79-89
ISSN
  • 1069-6679 (ISSN-L)
  • 1944-7175
OpenAlex
W2018711865
Cited by
183
References
6
Citations by year
2026: 2 · 2025: 7 · 2024: 8 · 2023: 15 · 2022: 16 · 2021: 7 · 2020: 23 · 2019: 3 · 2018: 10 · 2017: 9 · 2016: 8 · 2015: 13 · 2014: 12 · 2013: 10 · 2012: 6
FWCI
23.61
Type
journal article
Language
en
Open access
closed
Locations
The Journal of Marketing Theory and Practice (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
Keywords
impulse buying, online shopping, consumer behavior, subjective norms, purchase intention, purchase behavior, gender differences, digital marketing channels

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