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Consumer response to and choice of customized versus standardized systems

Author

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  • Bharadwaj, Neeraj
  • Naylor, Rebecca Walker
  • ter Hofstede, Frenkel

Abstract

Recent research on customization suggests that a need exists to examine conditions under which selling customized versus non-customized offerings will be more beneficial to vendors. To this end, this paper empirically evaluates consumer response to and choice of customized systems (offerings that are integrated and customized) in relation to standardized systems (offerings that feature integration but not customization). Through a series of studies, we demonstrate that the relationship between a buyer's systems purchase strategy and their future repurchase intentions toward the seller is moderated by a buyer characteristic (that is, a consumer's insight into his/her own preferences, or the degree to which a consumer can confidently and consistently express his or her true preferences) as well as a seller characteristic (retailer reputation). Given that consumers who are experts have greater insight into their own preferences than novices, our work also suggests that this greater insight into one's own preferences is a plausible explanation for why experts are more likely to choose a customized system. The main practical implication of our research is that it prompts managers to challenge the contention in some mass customization writings that customized offerings have universal appeal. Although the participants in our studies also tended to be more attracted to customized systems in general, this proclivity was lower for consumers with less product category expertise. This is important because our results convey that repurchase intentions towards a vendor will be higher after the purchase of a non-customized system by those consumers who lack insight into their preferences. As such, firms should try to propose customized systems only to those prospective buyers who possess strong preference insight, and propose standardized systems to those buyers who do not.

Suggested Citation

  • Bharadwaj, Neeraj & Naylor, Rebecca Walker & ter Hofstede, Frenkel, 2009. "Consumer response to and choice of customized versus standardized systems," International Journal of Research in Marketing, Elsevier, vol. 26(3), pages 216-227.
  • Handle: RePEc:eee:ijrema:v:26:y:2009:i:3:p:216-227
    DOI: 10.1016/j.ijresmar.2009.04.001
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    References listed on IDEAS

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    2. Valentin-Florentin Dumitru & Gabriel Jinga & Florin Mihai & Aurelia Stefanescu, 2015. "Innovative information technologies and their impact on the performance of the entities which activate in the retail industry," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 17(39), pages 520-520, May.
    3. Frank Goedertier & Kristof Geskens & Maggie Geuens & Bert Weijters, 2012. "Increasing choice satisfaction through goal-based labeling," Marketing Letters, Springer, vol. 23(1), pages 119-136, March.
    4. Pantano, Eleonora & Iazzolino, Gianpaolo & Migliano, Giuseppe, 2013. "Obsolescence risk in advanced technologies for retailing: A management perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 20(2), pages 225-233.
    5. Fogliatto, Flavio S. & da Silveira, Giovani J.C. & Borenstein, Denis, 2012. "The mass customization decade: An updated review of the literature," International Journal of Production Economics, Elsevier, vol. 138(1), pages 14-25.
    6. Poncin, Ingrid & Ben Mimoun, Mohamed Slim, 2014. "The impact of “e-atmospherics†on physical stores," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 851-859.
    7. Pantano, Eleonora & Naccarato, Giuseppe, 2010. "Entertainment in retailing: The influences of advanced technologies," Journal of Retailing and Consumer Services, Elsevier, vol. 17(3), pages 200-204.
    8. Willems, Kim & Smolders, Annelien & Brengman, Malaika & Luyten, Kris & Schöning, Johannes, 2017. "The path-to-purchase is paved with digital opportunities: An inventory of shopper-oriented retail technologies," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 228-242.
    9. Kurt Matzler & Daniel Stieger & Johann Füller, 2011. "Consumer Confusion in Internet-Based Mass Customization: Testing a Network of Antecedents and Consequences," Journal of Consumer Policy, Springer, vol. 34(2), pages 231-247, June.
    10. Lorena Blasco-Arcas & Blanca I. Hernandez-Ortega & Julio Jimenez-Martinez, 2014. "Collaborating online: the roles of interactivity and personalization," The Service Industries Journal, Taylor & Francis Journals, vol. 34(8), pages 677-698, May.
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