IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i20p14712-d1257074.html
   My bibliography  Save this article

The Impact of User Benefits on Continuous Contribution Behavior Based on the Perspective of Stimulus–Organism–Response Theory

Author

Listed:
  • Zhongyuan Sun

    (School of Economics and Management, Xi’an University of Posts and Telecommunications, Xi’an 710061, China)

  • Di Hu

    (School of Economics and Management, Xi’an University of Posts and Telecommunications, Xi’an 710061, China)

  • Xuming Lou

    (School of Economics and Management, Xi’an University of Posts and Telecommunications, Xi’an 710061, China)

  • Yucheng Li

    (School of Modern Post, Xi’an University of Posts and Telecommunications, Xi’an 710061, China)

Abstract

With the rapid development of the Internet, enterprises have integrated internal and external innovation resources through the establishment of open innovation communities, guided users to participate in innovation activities, and promoted product improvement and development. Users’ continuous contribution behavior is a key factor for open innovation communities to achieve sustainable development, yet most communities do not collect enough data on them. This study investigates the mechanism of user benefits on continuous contribution behavior in open innovation communities based on the Stimulus–Organism–Response (S-O-R) theory, which creatively takes self-verification as a member of the organism (O). This was chosen to overcome the aforementioned issues. Based on the questionnaire data of 469 users in open innovation communities, the SEM method was applied to test the relationship between user benefits, self-verification, and continuous contribution behavior, and the moderating role of future work self-salience on self-verification. The empirical results show that user benefits positively affected both continuous contribution behavior and self-verification. Self-verification positively affected continuous contribution behavior and mediated the relationship between economic, functional, and self-fulfillment benefits and continuous contribution behavior. Meanwhile, future work self-salience positively moderated the relationship between these three types of benefits and self-verification. These findings provide a theoretical basis for the sustainable development of open innovation communities and guiding users to engage in continuous contribution behavior.

Suggested Citation

  • Zhongyuan Sun & Di Hu & Xuming Lou & Yucheng Li, 2023. "The Impact of User Benefits on Continuous Contribution Behavior Based on the Perspective of Stimulus–Organism–Response Theory," Sustainability, MDPI, vol. 15(20), pages 1-26, October.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14712-:d:1257074
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/20/14712/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/20/14712/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Constance Elise Porter & Naveen Donthu, 2008. "Cultivating Trust and Harvesting Value in Virtual Communities," Management Science, INFORMS, vol. 54(1), pages 113-128, January.
    2. Dahlander, Linus & Gann, David M. & Wallin, Martin W., 2021. "How open is innovation? A retrospective and ideas forward," Research Policy, Elsevier, vol. 50(4).
    3. Frenzen, Jonathan & Nakamoto, Kent, 1993. "Structure, Cooperation, and the Flow of Market Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 360-375, December.
    4. Walsh, John P. & Lee, You-Na & Nagaoka, Sadao, 2016. "Openness and innovation in the US: Collaboration form, idea generation and implementation," Research Policy, Elsevier, vol. 45(8), pages 1660-1671.
    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. Marius Băban & Călin Florin Băban & Tudor Mitran, 2023. "Universities as an External Knowledge Source for Industry: Investigating the Antecedents’ Impact on the Importance Perception of Their Collaboration in Open Innovation Using an Ordinal Regression-Neur," Mathematics, MDPI, vol. 11(7), pages 1-23, March.
    2. Graziano Salvalai & Marta Maria Sesana & Paolo Dell’Oro & Diletta Brutti, 2023. "Open Innovation for the Construction Sector: Concept Overview and Test Bed Development to Boost Energy-Efficient Solutions," Energies, MDPI, vol. 16(14), pages 1-19, July.
    3. Baldwin, Carliss Y. & Bogers, Marcel L.A.M. & Kapoor, Rahul & West, Joel, 2024. "Focusing the ecosystem lens on innovation studies," Research Policy, Elsevier, vol. 53(3).
    4. Shufang Huang & Jin Chen & Liang Mei & Weiqiao Mo, 2019. "The Effect of Heterogeneity and Leadership on Innovation Performance: Evidence from University Research Teams in China," Sustainability, MDPI, vol. 11(16), pages 1-14, August.
    5. 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.
    6. Luintel, Kul B. & Khan, Mosahid, 2017. "Ideas production and international knowledge spillovers: Digging deeper into emerging countries," Research Policy, Elsevier, vol. 46(10), pages 1738-1754.
    7. António Porfírio, José & Augusto Felício, José & Carrilho, Tiago & Jardim, Jacinto, 2023. "Promoting entrepreneurial intentions from adolescence: The influence of entrepreneurial culture and education," Journal of Business Research, Elsevier, vol. 156(C).
    8. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    9. Garcia Martinez, Marian & Zouaghi, Ferdaous & Garcia Marco, Teresa & Robinson, Catherine, 2019. "What drives business failure? Exploring the role of internal and external knowledge capabilities during the global financial crisis," Journal of Business Research, Elsevier, vol. 98(C), pages 441-449.
    10. 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.
    11. Brodie, Roderick J. & Ilic, Ana & Juric, Biljana & Hollebeek, Linda, 2013. "Consumer engagement in a virtual brand community: An exploratory analysis," Journal of Business Research, Elsevier, vol. 66(1), pages 105-114.
    12. van Criekingen, Kristof & Freel, Mark & Czarnitzki, Dirk, 2021. "Open innovation deficiency: Evidence on project abandonment and delay," ZEW Discussion Papers 21-006, ZEW - Leibniz Centre for European Economic Research.
    13. Maise Soares Pereira & Ivan Lapuente Garrido & Celso Augusto de Matos, 2015. "Firm-Created Word-of-Mouth Recommendation: is it Also Worthwhile?," Brazilian Business Review, Fucape Business School, vol. 12(3), pages 91-118, May.
    14. Fujita, Momoko & Harrigan, Paul & Soutar, Geoffrey N. & Kumar Roy, Sanjit & Roy, Rajat, 2020. "Enhancing member-institution relationships through social media: The role of other-user engagement behavior and similarity perceptions," Journal of Business Research, Elsevier, vol. 121(C), pages 642-654.
    15. Garret Kent Fellows & Jennifer Winter & Alaz Munzur, 2023. "An Analysis of Industrial Policy Mechanisms to Support Commercial Deployment of Bitumen Partial Upgrading in Alberta," Energies, MDPI, vol. 16(6), pages 1-49, March.
    16. Cricelli, Livio & Mauriello, Roberto & Strazzullo, Serena, 2023. "Preventing open innovation failures: A managerial framework," Technovation, Elsevier, vol. 127(C).
    17. Roberto Vivona & Mehmet Akif Demircioglu & David B. Audretsch, 2023. "The costs of collaborative innovation," The Journal of Technology Transfer, Springer, vol. 48(3), pages 873-899, June.
    18. Claro, Priscila B de O & Laban, Silvio Abrahao Neto, 2011. "Word of Mouth Behavior and Online Activity: A Study of On/Off Line Communication Strategy and Online Business," Insper Working Papers wpe_263, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    19. Nguyen, Thi Phuong Thao & Huang, Fang & Tian, Xiaowen, 2023. "Intellectual property protection need as a driver for open innovation: Empirical evidence from Vietnam," Technovation, Elsevier, vol. 123(C).
    20. Marzi, Giacomo & Fakhar Manesh, Mohammad & Caputo, Andrea & Pellegrini, Massimiliano Matteo & Vlačić, Božidar, 2023. "Do or do not. Cognitive configurations affecting open innovation adoption in SMEs," Technovation, Elsevier, vol. 119(C).

    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:gam:jsusta:v:15:y:2023:i:20:p:14712-:d:1257074. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.