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What factors influence grassroots knowledge supplier performance in online knowledge platforms? Evidence from a paid Q&A service

Author

Listed:
  • Qingfeng Zeng

    (Shanghai University of Finance and Economics)

  • Wei Zhuang

    (Shanghai University of Finance and Economics)

  • Qian Guo

    (Shanghai University of Finance and Economics)

  • Weiguo Fan

    (University of Iowa)

Abstract

The popularity of online paid knowledge platforms offers opportunities for massive grassroots knowledge suppliers to participate in knowledge sharing services and get financial rewards, but little is known about the determinants influencing users’ payment decisions in the particular knowledge transaction such as paid Q&A. This study examines the factors that influence the performance of grassroots knowledge supplier in paid Q&A platforms. We develop a research model integrating reputation, experience, and authority signal to explain the knowledge payment behavior based on signaling theory. Using a panel data analysis of 12,419 records from Zhihu, the largest online Q&A platform in China, our empirical study reveals that user payment behavior is significantly influenced by reputation signal and experience signal of a knowledge supplier. Interestingly, different from previous conclusions on professional knowledge payment platforms, authority signal of grassroots knowledge supplier has no significant impact on the payment behavior of online Q&A platform users.

Suggested Citation

  • Qingfeng Zeng & Wei Zhuang & Qian Guo & Weiguo Fan, 2022. "What factors influence grassroots knowledge supplier performance in online knowledge platforms? Evidence from a paid Q&A service," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2507-2523, December.
    • Handle: RePEc:spr:elmark:v:32:y:2022:i:4:d:10.1007_s12525-022-00588-2
    DOI: 10.1007/s12525-022-00588-2
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    as
    1. Yanli Zhang & Xinmiao Li & Weiguo Fan, 2020. "User adoption of physician's replies in an online health community: An empirical study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1179-1191, October.
    2. Yongqiang Sun & Nan Wang & Xiao‐Liang Shen & Xi Zhang, 2019. "Bias effects, synergistic effects, and information contingency effects: Developing and testing an extended information adoption model in social Q&A," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(12), pages 1368-1382, December.
    3. Michael Spence, 2002. "Signaling in Retrospect and the Informational Structure of Markets," American Economic Review, American Economic Association, vol. 92(3), pages 434-459, June.
    4. Hailiang Chen & Prabuddha De & Yu Jeffrey Hu, 2015. "IT-Enabled Broadcasting in Social Media: An Empirical Study of Artists’ Activities and Music Sales," Information Systems Research, INFORMS, vol. 26(3), pages 513-531, September.
    5. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    6. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    7. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    8. Pee, L.G. & Jiang, James & Klein, Gary, 2018. "Signaling effect of website usability on repurchase intention," International Journal of Information Management, Elsevier, vol. 39(C), pages 228-241.
    9. Hossain, Mokter, 2018. "Grassroots innovation: The state of the art and future perspectives," Technology in Society, Elsevier, vol. 55(C), pages 63-69.
    10. Zhang, Yan & Zhang, Mingli & Luo, Nuan & Wang, Yu & Niu, Tao, 2019. "Understanding the formation mechanism of high-quality knowledge in social question and answer communities: A knowledge co-creation perspective," International Journal of Information Management, Elsevier, vol. 48(C), pages 72-84.
    11. Mario Pansera & Soumodip Sarkar, 2016. "Crafting Sustainable Development Solutions: Frugal Innovations of Grassroots Entrepreneurs," Sustainability, MDPI, vol. 8(1), pages 1-25, January.
    12. Naveen Kumar & Liangfei Qiu & Subodha Kumar, 2018. "Exit, Voice, and Response on Digital Platforms: An Empirical Investigation of Online Management Response Strategies," Information Systems Research, INFORMS, vol. 29(4), pages 849-870, December.
    13. Kostyra, Daniel S. & Reiner, Jochen & Natter, Martin & Klapper, Daniel, 2016. "Decomposing the effects of online customer reviews on brand, price, and product attributes," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 11-26.
    14. Saif Benjaafar & Guangwen Kong & Xiang Li & Costas Courcoubetis, 2019. "Peer-to-Peer Product Sharing: Implications for Ownership, Usage, and Social Welfare in the Sharing Economy," Management Science, INFORMS, vol. 65(2), pages 477-493, February.
    15. Sarah C. Rice, 2012. "Reputation and Uncertainty in Online Markets: An Experimental Study," Information Systems Research, INFORMS, vol. 23(2), pages 436-452, June.
    16. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    17. Saboo, Alok R. & Kumar, V. & Ramani, Girish, 2016. "Evaluating the impact of social media activities on human brand sales," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 524-541.
    18. Yili (Kevin) Hong & Paul A. Pavlou, 2014. "Product Fit Uncertainty in Online Markets: Nature, Effects, and Antecedents," Information Systems Research, INFORMS, vol. 25(2), pages 328-344, June.
    19. Zhang, Mingli & Zhang, Yan & Zhao, Lu & Li, Xiaoyong, 2020. "What drives online course sales? Signaling effects of user-generated information in the paid knowledge market," Journal of Business Research, Elsevier, vol. 118(C), pages 389-397.
    20. Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
    21. Erik Ernesto Vazquez, 2021. "Effect of an e-retailer’s product category and social media platform selection on perceived quality of e-retail products," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 139-157, March.
    22. Xiaomo Liu & G. Alan Wang & Weiguo Fan & Zhongju Zhang, 2020. "Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis," Information Systems Research, INFORMS, vol. 31(3), pages 731-752, September.
    23. Sungjoon Nam & Puneet Manchanda & Pradeep K. Chintagunta, 2010. "The Effect of Signal Quality and Contiguous Word of Mouth on Customer Acquisition for a Video-on-Demand Service," Marketing Science, INFORMS, vol. 29(4), pages 690-700, 07-08.
    24. Angela Aerry Choi & Daegon Cho & Dobin Yim & Jae Yun Moon & Wonseok Oh, 2019. "When Seeing Helps Believing: The Interactive Effects of Previews and Reviews on E-Book Purchases," Information Systems Research, INFORMS, vol. 30(4), pages 1164-1183, December.
    25. Saradindu Bhaduri & Hemant Kumar, 2011. "Extrinsic and intrinsic motivations to innovate: tracing the motivation of ‘grassroot’ innovators in India," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 10(1), pages 27-55, June.
    26. Xitong Li, 2018. "Impact of Average Rating on Social Media Endorsement: The Moderating Role of Rating Dispersion and Discount Threshold," Information Systems Research, INFORMS, vol. 29(3), pages 739-754, September.
    27. Paulo B. Goes & Chenhui Guo & Mingfeng Lin, 2016. "Do Incentive Hierarchies Induce User Effort? Evidence from an Online Knowledge Exchange," Information Systems Research, INFORMS, vol. 27(3), pages 497-516, September.
    28. Kromidha, Endrit & Li, Matthew C., 2019. "Determinants of leadership in online social trading: A signaling theory perspective," Journal of Business Research, Elsevier, vol. 97(C), pages 184-197.
    29. Hua (Jonathan) Ye & Cecil Eng Huang Chua & Jun Sun, 2019. "Enhancing mobile data services performance via online reviews," Information Systems Frontiers, Springer, vol. 21(2), pages 441-452, April.
    30. Liangfei Qiu & Subodha Kumar, 2017. "Understanding Voluntary Knowledge Provision and Content Contribution Through a Social-Media-Based Prediction Market: A Field Experiment," Information Systems Research, INFORMS, vol. 28(3), pages 529-546, September.
    31. Raban Daphne Ruth, 2012. "Conversation as a source of satisfaction and continuance in a question-and-answer site," European Journal of Information Systems, Taylor & Francis Journals, vol. 21(4), pages 427-437, July.
    32. Jingchuan Pu & Yuan Chen & Liangfei Qiu & Hsing Kenneth Cheng, 2020. "Does Identity Disclosure Help or Hurt User Content Generation? Social Presence, Inhibition, and Displacement Effects," Information Systems Research, INFORMS, vol. 31(2), pages 297-322, June.
    33. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
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    More about this item

    Keywords

    Paid Q&A platform; Grassroots knowledge supplier; Knowledge payment; Signaling theory;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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