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Consumer Adoption of Consumer-Created vs. Expert-Created Information: Moderating Role of Prior Product Attitude

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  • Do-Hyung Park

    (Graduate School of Business IT, Kookmin University, Seoul 02707, Korea)

Abstract

Today, consumer-created information such as online consumer reviews have become important and popular, playing a key role in consumer decision making. Compared with expert-created information, each piece of information is less powerful or persuasive, but their aggregation can be more credible and acceptable. This concept is called collective intelligence knowledge. This study focuses on the persuasive effect on consumer product attitudes of consumer-created information compared to expert-created information. Using source credibility and familiarity theory, the study reveals how prior brand attitudes can play a moderating role in the persuasive effect of consumer-created information and expert-created information. Specifically, this study shows how consumer-created information is more persuasive when consumers have more favorable prior brand attitudes, while expert-created information is more persuasive when consumers have less favorable prior brand attitudes. Based on the results, this study proposes practical strategies for information structure, curation, and presentation. If a company has a good-quality brand evaluation of its products, it should increase the weight of consumer-created information such as online consumer reviews. Otherwise, the company needs to first improve brand evaluation through expert-created information such as third-parties or power-blogger reviews.

Suggested Citation

  • Do-Hyung Park, 2021. "Consumer Adoption of Consumer-Created vs. Expert-Created Information: Moderating Role of Prior Product Attitude," Sustainability, MDPI, vol. 13(4), pages 1-12, February.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2024-:d:498792
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    References listed on IDEAS

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    1. Dholakia, Ruby Roy & Sternthal, Brian, 1977. "Highly Credible," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 3(4), pages 223-232, March.
    2. Paul Resnick & Christopher Avery & Richard Zeckhauser, 1999. "The Market for Evaluations," American Economic Review, American Economic Association, vol. 89(3), pages 564-584, June.
    3. Price, Linda L. & Feick, Lawrence F. & Higie, Robin A., 1989. "Preference heterogeneity and coorientation as determinants of perceived informational influence," Journal of Business Research, Elsevier, vol. 19(3), pages 227-242, November.
    4. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Yubo Chen & Jinhong Xie, 2005. "Third-Party Product Review and Firm Marketing Strategy," Marketing Science, INFORMS, vol. 24(2), pages 218-240, February.
    6. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    7. Bong-Goon Seo & Do-Hyung Park, 2020. "Did You Invest Less Than Me? The Effect of Other’s Share of Investment on Psychological Ownership of Crowdfunding Projects," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    8. Bong-Goon Seo & Do-Hyung Park, 2020. "The Effective Type of Information Categorization in Online Curation Service Depending on Psychological Ownership," Sustainability, MDPI, vol. 12(8), pages 1-13, April.
    9. Do-Hyung Park, 2019. "Virtuality Changes Consumer Preference: The Effect of Transaction Virtuality as Psychological Distance on Consumer Purchase Behavior," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    10. Steven M. Shugan, 2003. "Editorial: Compartmentalized Reviews and Other Initiatives: Should Marketing Scientists Review Manuscripts in Consumer Behavior?," Marketing Science, INFORMS, vol. 22(2), pages 151-160.
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    Cited by:

    1. Do-Hyung Park & Sungwook Lee, 2021. "UGC Sharing Motives and Their Effects on UGC Sharing Intention from Quantitative and Qualitative Perspectives: Focusing on Content Creators in South Korea," Sustainability, MDPI, vol. 13(17), pages 1-13, August.

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