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Factors Affecting the Consumers\' Willingness to Claim Product Replacement

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  • Agus Salim

Abstract

This study explores the effects of two factors related to consumers' willingness to claim reimbursement after purchasing a product which failed to reach their expectations by conducting experiments in which the reputation of the store and retail channels manipulated. These two variables have been considered to affect the perceived quality of service when it will submit a claim, and the likelihood that consumers will receive a replacement product. Subsequently consumers will decide whether to file a claim or not.

Suggested Citation

  • Agus Salim, 2018. "Factors Affecting the Consumers\' Willingness to Claim Product Replacement," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 348-361.
  • Handle: RePEc:ers:journl:v:xxi:y:2018:i:3:p:348-361
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    1. Ganesh Iyer & Amit Pazgal, 2003. "Internet Shopping Agents: Virtual Co-Location and Competition," Marketing Science, INFORMS, vol. 22(1), pages 85-106, November.
    2. Carl Shapiro, 1982. "Consumer Information, Product Quality, and Seller Reputation," Bell Journal of Economics, The RAND Corporation, vol. 13(1), pages 20-35, Spring.
    3. Meise, Jan Niklas & Rudolph, Thomas & Kenning, Peter & Phillips, Diane M., 2014. "Feed them facts: Value perceptions and consumer use of sustainability-related product information," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 510-519.
    4. Srivastava, Joydeep & Lurie, Nicholas, 2001. "A Consumer Perspective on Price-Matching Refund Policies: Effect on Price Perceptions and Search Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(2), pages 296-307, September.
    5. Carl Shapiro, 1983. "Premiums for High Quality Products as Returns to Reputations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(4), pages 659-679.
    6. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    7. Barry Mitnick & John Mahon, 2007. "The Concept of Reputational Bliss," Journal of Business Ethics, Springer, vol. 72(4), pages 323-333, June.
    8. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    9. Grewal, Dhruv & Iyer, Gopalkrishnan R. & Krishnan, R. & Sharma, Arun, 2003. "The Internet and the price-value-loyalty chain," Journal of Business Research, Elsevier, vol. 56(5), pages 391-398, May.
    10. Ganesh Iyer & Amit Pazgal, 2003. "Erratum: Internet Shopping Agents: Virtual Co-Location and Competition," Marketing Science, INFORMS, vol. 22(2), pages 271-271, November.
    11. van Doorn, Jenny & Verhoef, Peter C., 2011. "Willingness to pay for organic products: Differences between virtue and vice foods," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 167-180.
    12. Boulding, William & Kirmani, Amna, 1993. "A Consumer-Side Experimental Examination of Signaling Theory: Do Consumers Perceive Warranties as Signals of Quality?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(1), pages 111-123, June.
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    Cited by:

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