IDEAS home Printed from https://ideas.repec.org/a/spr/infotm/v24y2023i4d10.1007_s10799-022-00381-9.html
   My bibliography  Save this article

Management response and user idea generation: evidence from an online open innovation community

Author

Listed:
  • Dongmei Han

    (Shanghai University of Finance and Economics
    Shanghai Business School
    Shanghai University of Finance and Economics)

  • Zhiliang Pang

    (Shanghai University of Finance and Economics)

  • Lifeng He

    (Shanghai University of Finance and Economics)

  • Xiaohang Zhou

    (Shanghai University of Finance and Economics)

  • Shaohua Zhang

    (Shanghai Business School)

Abstract

In recent years, open innovation communities (OICs), in which users are allowed to post ideas, have become a momentous source of product innovation and development for enterprises. Continuous generation of ideas is critical to the success of an OIC. When users post an idea more than once, they are considered to be conducting re-innovation behavior (RIB). Many enterprises have implemented management response systems in their OICs to motivate users’ RIB and promote the prosperity of the OIC. However, researchers have not yet examined whether management response is an effective management tool for motivating users’ RIB in OICs. This research shows that receiving management response has a positive effect on the volume, quality and novelty of user’s RIB. Furthermore, we found that the enterprise’s official adoption willingness expressed through management response may reduce the volume, quality, and novelty of ideas in user’s RIB, which may have an impact on the enterprise’s insights. Additionally, we conducted heterogeneity analyses to explore the effects of different lengths and sentiments of management response in this mechanism. This research has implications for managers and enterprises and contributes to the literature on management response, idea generation behavior, OICs, and, more broadly, co-innovation between enterprises and consumers.

Suggested Citation

  • Dongmei Han & Zhiliang Pang & Lifeng He & Xiaohang Zhou & Shaohua Zhang, 2023. "Management response and user idea generation: evidence from an online open innovation community," Information Technology and Management, Springer, vol. 24(4), pages 381-400, December.
  • Handle: RePEc:spr:infotm:v:24:y:2023:i:4:d:10.1007_s10799-022-00381-9
    DOI: 10.1007/s10799-022-00381-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10799-022-00381-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10799-022-00381-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vicki Wei Tang, 2018. "Wisdom of Crowds: Cross‐Sectional Variation in the Informativeness of Third‐Party‐Generated Product Information on Twitter," Journal of Accounting Research, Wiley Blackwell, vol. 56(3), pages 989-1034, June.
    2. Jean Tirole & Roland Bénabou, 2006. "Incentives and Prosocial Behavior," American Economic Review, American Economic Association, vol. 96(5), pages 1652-1678, December.
    3. 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.
    4. 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.
    5. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    6. Mochen Yang & Yuqing Ren & Gediminas Adomavicius, 2019. "Understanding User-Generated Content and Customer Engagement on Facebook Business Pages," Information Systems Research, INFORMS, vol. 30(3), pages 839-855, September.
    7. Irina Heimbach & Oliver Hinz, 2018. "The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks," Information Systems Research, INFORMS, vol. 29(3), pages 592-611, September.
    8. Hertel, Guido & Niedner, Sven & Herrmann, Stefanie, 2003. "Motivation of software developers in Open Source projects: an Internet-based survey of contributors to the Linux kernel," Research Policy, Elsevier, vol. 32(7), pages 1159-1177, July.
    9. Lars Bo Jeppesen & Lars Frederiksen, 2006. "Why Do Users Contribute to Firm-Hosted User Communities? The Case of Computer-Controlled Music Instruments," Organization Science, INFORMS, vol. 17(1), pages 45-63, February.
    10. Dahlander, Linus & Wallin, Martin W., 2006. "A man on the inside: Unlocking communities as complementary assets," Research Policy, Elsevier, vol. 35(8), pages 1243-1259, October.
    11. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    12. John Hendrickx, 2002. "Review of Regression Models for Categorical Dependent Variables Using Stata by Long and Freese," Stata Journal, StataCorp LLC, vol. 2(1), pages 103-105, February.
    13. Wei Chen & Bin Gu & Qiang Ye & Kevin Xiaoguo Zhu, 2019. "Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews," Service Science, INFORMS, vol. 30(1), pages 81-96, March.
    14. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    15. Yacheng Sun & Xiaojing Dong & Shelby McIntyre, 2017. "Motivation of User-Generated Content: Social Connectedness Moderates the Effects of Monetary Rewards," Marketing Science, INFORMS, vol. 36(3), pages 329-337, May.
    16. Chen Zhang & Jungpil Hahn & Prabuddha De, 2013. "Research Note ---Continued Participation in Online Innovation Communities: Does Community Response Matter Equally for Everyone?," Information Systems Research, INFORMS, vol. 24(4), pages 1112-1130, December.
    17. Marc Schmidt-Keilich & Ulf Schrader, 2019. "Sustainability innovation by integrating employees: the potential of sustainable embedded lead users," International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 13(1), pages 98-115.
    18. Yang, Mu & Han, Chunjia, 2021. "Stimulating innovation: Managing peer interaction for idea generation on digital innovation platforms," Journal of Business Research, Elsevier, vol. 125(C), pages 456-465.
    19. Kamboj, Shampy & Sarmah, Bijoylaxmi & Gupta, Shivam & Dwivedi, Yogesh, 2018. "Examining branding co-creation in brand communities on social media: Applying the paradigm of Stimulus-Organism-Response," International Journal of Information Management, Elsevier, vol. 39(C), pages 169-185.
    20. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
    21. 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.
    22. Michael Luca & Georgios Zervas, 2016. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud," Management Science, INFORMS, vol. 62(12), pages 3412-3427, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hsing Kenneth Cheng & D. Daniel Sokol & Xinyu Zang, 2024. "The rise of empirical online platform research in the new millennium," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 416-451, March.
    2. Cheng Zhao & Chong Alex Wang, 2023. "A cross-site comparison of online review manipulation using Benford’s law," Electronic Commerce Research, Springer, vol. 23(1), pages 365-406, March.
    3. Nikolaus Franke & Peter Keinz & Katharina Klausberger, 2013. "“Does This Sound Like a Fair Deal?”: Antecedents and Consequences of Fairness Expectations in the Individual’s Decision to Participate in Firm Innovation," Organization Science, INFORMS, vol. 24(5), pages 1495-1516, October.
    4. Kimmy Wa Chan & Stella Yiyan Li & Jian Ni & John JianJun Zhu, 2021. "What Feedback Matters? The Role of Experience in Motivating Crowdsourcing Innovation," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 103-126, January.
    5. Smirnova, Inna & Reitzig, Markus & Alexy, Oliver, 2022. "What makes the right OSS contributor tick? Treatments to motivate high-skilled developers," Research Policy, Elsevier, vol. 51(1).
    6. Heeseung Andrew Lee & Angela Aerry Choi & Tianshu Sun & Wonseok Oh, 2021. "Reviewing Before Reading? An Empirical Investigation of Book-Consumption Patterns and Their Effects on Reviews and Sales," Information Systems Research, INFORMS, vol. 32(4), pages 1368-1389, December.
    7. Liting Li & Haichao Zheng & Dongyu Chen & Bin Zhu, 2024. "Whose reviews are most valuable for predicting the default risk of peer-to-peer lending platforms? Evidence from China," Electronic Commerce Research, Springer, vol. 24(3), pages 1619-1658, September.
    8. Jing Wang & Gen Li & Kai-Lung Hui, 2022. "Monetary Incentives and Knowledge Spillover: Evidence from a Natural Experiment," Management Science, INFORMS, vol. 68(5), pages 3549-3572, May.
    9. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    10. Erfan Rezvani & Christian Rojas, 2022. "Firm responsiveness to consumers' reviews: The effect on online reputation," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 898-922, November.
    11. Xunyi Wang & Meiling Jiang & Wencui Han & Liangfei Qiu, 2022. "Do Emotions Sell? The Impact of Emotional Expressions on Sales in the Space‐Sharing Economy," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 65-82, January.
    12. repec:eee:respol:v:48:y:2019:i:8:p:- is not listed on IDEAS
    13. Adrián Kovács & Bart Looy & Bruno Cassiman, 2015. "Exploring the scope of open innovation: a bibliometric review of a decade of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 951-983, September.
    14. Pollok, Patrick & Amft, André & Diener, Kathleen & Lüttgens, Dirk & Piller, Frank T., 2021. "Knowledge diversity and team creativity: How hobbyists beat professional designers in creating novel board games," Research Policy, Elsevier, vol. 50(8).
    15. Wonseok Oh & Jae Yun Moon & Jungpil Hahn & Taekyung Kim, 2016. "Research Note—Leader Influence on Sustained Participation in Online Collaborative Work Communities: A Simulation-Based Approach," Information Systems Research, INFORMS, vol. 27(2), pages 383-402, June.
    16. Sulin Ba & Yuan Jin & Xinxin Li & Xianghua Lu, 2020. "One Size Fits All? The Differential Impact of Online Reviews and Coupons," Production and Operations Management, Production and Operations Management Society, vol. 29(10), pages 2403-2424, October.
    17. Mulhuijzen, Max & de Jong, Jeroen P.J., 2024. "Diffusion to peers in firm-hosted user innovation communities: Contributions by professional versus amateur users," Research Policy, Elsevier, vol. 53(1).
    18. Lei Xu & Tingting Nian & Luís Cabral, 2020. "What Makes Geeks Tick? A Study of Stack Overflow Careers," Management Science, INFORMS, vol. 66(2), pages 587-604, February.
    19. Dahlander, Linus & Piezunka, Henning, 2014. "Open to suggestions: How organizations elicit suggestions through proactive and reactive attention," Research Policy, Elsevier, vol. 43(5), pages 812-827.
    20. Zhanfei Lei & Dezhi Yin & Han Zhang, 2021. "Focus Within or On Others: The Impact of Reviewers’ Attentional Focus on Review Helpfulness," Information Systems Research, INFORMS, vol. 32(3), pages 801-819, September.
    21. Linus Dahlander & Lars Frederiksen, 2012. "The Core and Cosmopolitans: A Relational View of Innovation in User Communities," Organization Science, INFORMS, vol. 23(4), pages 988-1007, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infotm:v:24:y:2023:i:4:d:10.1007_s10799-022-00381-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.