The Impact of Recommendation Sources on Online Purchase Intentions: The Moderating Effects of Gender and Perceived Risk

This study examines the issue of recommendation sources from the perspectives of gender and consumers’ perceived risk, and validates a model for the antecedents of consumer online purchases. The method of obtaining quantitative data was that of the instrument of a survey questionnaire. Data were collected via questionnaires from 396 undergraduate students aged 18-24, and a multiple regression analysis was conducted to identify causal relationships. Empirical findings established the link between recommendation sources (word-of-mouth, advertising, and recommendation systems) and the likelihood of making online purchases and demonstrated the role of gender and perceived risk as moderators in this context. The results showed that the effects of word-of-mouth on online purchase intentions were stronger than those of advertising and recommendation systems. In addition, female consumers have less experience with online purchases, so they may be more likely than males to refer to recommendations during the decision-making process. The findings of the study will help marketers to address the recommendation factor which influences consumers’ intention to purchase and to improve firm performances to meet consumer needs. Keywords—Recommendation sources, Online purchase intentions, Gender differences, Perceived risk.

[1]  R. Rosenfeld Belief , 2012, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[2]  Alexander von Eye,et al.  Self-Concept, Self-Esteem, Gender, Race, and Information Technology Use , 2009, Cyberpsychology Behav. Soc. Netw..

[3]  Manish Godse,et al.  A Hybrid Approach for Knowledge-Based Product Recommendation , 2009, ICISTM.

[4]  S. Janda Does Gender Moderate the Effect of Online Concerns on Purchase Likelihood? , 2008 .

[5]  Nicole Immorlica,et al.  Dynamics of bid optimization in online advertisement auctions , 2007, WWW '07.

[6]  Dina Mayzlin,et al.  Promotional Chat on the Internet , 2006 .

[7]  F. Sultan,et al.  Are the Drivers and Role of Online Trust the Same for All Web Sites and Consumers? A Large-Scale Exploratory Empirical Study , 2005 .

[8]  Ellen Garbarino,et al.  GENDER DIFFERENCES IN THE PERCEIVED RISK OF BUYING ONLINE AND THE EFFECTS OF RECEIVING A SITE RECOMMENDATION , 2004 .

[9]  S. Sénécal,et al.  The influence of online product recommendations on consumers' online choices , 2004 .

[10]  Syed Akhter Digital divide and purchase intention: Why demographic psychology matters , 2003 .

[11]  James G. Maxham Service recovery's influence on consumer satisfaction, positive word-of-mouth, and purchase intentions , 2001 .

[12]  Phyllis Schumacher,et al.  Gender, Internet and computer attitudes and experiences , 2001, Comput. Hum. Behav..

[13]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[14]  Scott D. Johnson,et al.  Influences on consumer use of word-of-mouth recommendation sources , 1997 .

[15]  Michael D. Geurts,et al.  New Product Forecasting with a Purchase Intention Survey , 1993 .

[16]  K. King,et al.  An investigation of the external physician search process. , 1988, Journal of health care marketing.

[17]  Suzanne K. Damarin,et al.  The second self: Computers and the human spirit , 1985 .

[18]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[19]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[20]  Gilbert A. Churchill A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

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

[22]  J. Jacoby,et al.  The Components of Perceived Risk , 1972 .