Effects of social influence on consumers' voluntary adoption of innovations prompted by others
Research on innovation adoption focuses on voluntary adoption, although non-voluntary or prompted adoption decisions are prevalent in real life, especially for high-tech products and services. This study aims to investigate the effect of social influence on consumers' innovation adoption in the context of prompted adoption. In particular, the present paper models the duration of voluntary adoption as a function of social norms, attractiveness of the prompter, number of prompters, and so on. Prior knowledge is not only a control variable, but also a moderating variable for a few social factors. This paper validates models relying on the illustrative application of a mobile gift service called Gifticon. The results provide much insight for marketing practitioners on how to accelerate consumers' adoption behavior and therefore the diffusion of innovative products.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 64 (2011)
Issue (Month): 11 ()
|Contact details of provider:|| Web page: http://www.elsevier.com/locate/jbusres|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Randolph B. Cooper & Robert W. Zmud, 1990. "Information Technology Implementation Research: A Technological Diffusion Approach," Management Science, INFORMS, vol. 36(2), pages 123-139, February.
- Kulviwat, Songpol & Bruner II, Gordon C. & Al-Shuridah, Obaid, 2009. "The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption," Journal of Business Research, Elsevier, vol. 62(7), pages 706-712, July.
- David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
- Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
- Bearden, William O & Etzel, Michael J, 1982. " Reference Group Influence on Product and Brand Purchase Decisions," Journal of Consumer Research, Oxford University Press, vol. 9(2), pages 183-194, September.
- Park, C Whan & Lessig, V Parker, 1977. " Students and Housewives: Differences in Susceptibility to Reference Group Influence," Journal of Consumer Research, Oxford University Press, vol. 4(2), pages 102-110, Se.
- Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
- McCracken, Grant, 1989. " Who Is the Celebrity Endorser? Cultural Foundations of the Endorsement Process," Journal of Consumer Research, Oxford University Press, vol. 16(3), pages 310-321, December.
When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:64:y:2011:i:11:p:1190-1194. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)
If references are entirely missing, you can add them using this form.