Determinants of Consumer's Intention to Participate in Group Buying

Abstract The article proposes a model that related individual differences, intergroup characteristics, initiator characteristics to consumer's group buying intention, medicated by browsing time. Data was collected from students studying at a number of colleges, universities and young workers. A total of 500 questionnaires were distributed, of which 264 were successfully replied respondents, yielding a usable response rate of 52.8%. Multiple regression analyses were used for hypothesis testing. The results of the study show that gender, perceived price fairness, peer referent, initiator expert and initiator communication have a significant impact on consumer's group buying intention. In addition, the mediating impact of browsing time is partially supported. Suggestions for implications of the research and future research are also presented.

[1]  K. Chan,et al.  Understanding consumer-to-consumer interactions in virtual communities : the salience of reciprocity , 2010 .

[2]  Tamara F. Mangleburg,et al.  Adolescent perceptions of parent and peer influences on teen purchase: An application of social power theory , 2010 .

[3]  Soe-Tsyr Yuan,et al.  Credit Based Group Negotiation for aggregate sell/buy in e-markets , 2004, Electron. Commer. Res. Appl..

[4]  S. Pendleton Rumor research revisited and expanded , 1998 .

[5]  R. P. Dant,et al.  An exploratory study of exclusive dealing in channel relationships , 1997 .

[6]  Terrence J. Paridon Retail opinion sharing: conceptualization and measurement , 2004 .

[7]  Elisabeth Brauner,et al.  Editorial: The Information Processing Approach as a Perspective for Groups Research , 2000 .

[8]  Neil Tocher,et al.  Gender differences in the effectiveness of online trust building information cues: An empirical examination , 2011 .

[9]  Robert J. Kauffman,et al.  Incentive mechanisms, fairness and participation in online group-buying auctions , 2010, Electron. Commer. Res. Appl..

[10]  Alan Scheller-Wolf,et al.  Combinatorial Coalition Formation for multi-item group-buying with heterogeneous customers , 2010, Decis. Support Syst..

[11]  Eun-Joo Park,et al.  Apparel product attributes, web browsing, and e-impulse buying on shopping websites , 2012 .

[12]  William B. Dodds,et al.  Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations , 1991 .

[13]  Mesut Çiçek,et al.  Online Group Buying: What Is There For The Consumers? , 2011 .

[14]  Robert J. Kauffman,et al.  Should we collude? Analyzing the benefits of bidder cooperation in online group-buying auctions , 2009, Electron. Commer. Res. Appl..

[15]  P. Paulus,et al.  Idea Generation in Groups : A Basis for Creativity in Organizations , 1994 .

[16]  Peter A. Bamberger,et al.  Group norms and excessive absenteeism : The role of peer referent others , 2007 .

[17]  Shelja Jose Kuruvilla,et al.  Influence of demographics, psychographics, shopping orientation, mall shopping attitude and purchase patterns on mall patronage in India , 2010 .

[18]  Ming-Lang Tseng,et al.  Using hybrid method to evaluate the green performance in uncertainty , 2011, Environmental monitoring and assessment.

[19]  U. Dholakia,et al.  Coveted or Overlooked? The Psychology of Bidding for Comparable Listings in Digital Auctions , 2001 .

[20]  Mikhael Shor,et al.  Digital redemption of coupons: satisfying and dissatisfying effects of promotion codes , 2003 .

[21]  R. L. Rosnow,et al.  Rumor rest stops on the information highway: Transmission patterns in a computer-mediated rumor chain , 1998 .

[22]  M. Laroche,et al.  Exploring Age-Related Differences in Information Acquisition for a Gift Purchase , 2004 .

[23]  J. Rowley ‘Window’ shopping and browsing opportunities in cyberspace , 2002 .

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