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Impact of Open Innovation Communities on Enterprise Innovation Performance: A System Dynamics Perspective

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  • Bing Wu

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Chunyu Gong

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

Abstract

Open innovation communities (OICs) can help enterprises make full use of external knowledge resources from users, but problems such as low user participation and low conversion rate of creative ideas impact the efficiency of OICs. Most studies on this topic employ qualitative or empirical methods from a static perspective, but ignore the effect of interaction between enterprises and users as well as the cumulative effect of time. A discussion on the dynamic evolution process of open innovation is lacking. Based on a review of the literature on OICs, innovation performance, and system dynamics, this study proposes a conceptual model of innovation performance impact, which comprises the knowledge management, governance mechanism, and user behavior subsystems. Xiaomi’s OIC in China was selected as the research object, and relevant data were collected through a web spider. According to the system dynamics modeling method, a causal relationship analysis was carried out on the three aforementioned interrelated subsystems. Then, a stock flow chart with 32 variables was constructed to determine the initial values and calculation equations for each variable. Finally, the model was constructed and verified using Vensim PLE software. The simulation results were as follows. (1) The number of product releases in the Xiaomi OIC was positively correlated with the number of posts, comments, and views. Compared with user interaction behavior (i.e., commenting and viewing), the impact of user innovation behavior (i.e., posting) on enterprise innovation performance (i.e., number of patents) is clearer. Specifically, regarding interaction behavior, the impact of the users’ commenting behavior on innovation performance (i.e., number of product releases) was relatively clearer than that of their viewing behavior. (2) Governance mechanism (i.e., R&D investment and management expense), which comprises technical and organizational mechanisms, positively affected the innovation performance of enterprises. Compared with the organizational mechanism (i.e., management expense), the impact of the technical mechanism (i.e., R&D investment) on the innovation performance was clearer. (3) Governance mechanism helped to increase the number of users in the OIC, and, in turn, affected the user innovation and interaction behavior. (4) The technical mechanism positively affected knowledge application capability, which, in turn, had a positive impact on the innovation performance of enterprises. Based on these findings, management strategies are proposed for the establishment and development of OICs.

Suggested Citation

  • Bing Wu & Chunyu Gong, 2019. "Impact of Open Innovation Communities on Enterprise Innovation Performance: A System Dynamics Perspective," Sustainability, MDPI, vol. 11(17), pages 1-27, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4794-:d:263463
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    References listed on IDEAS

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    1. Guy Parmentier & Vincent Mangematin, 2014. "Orchestrating innovation with user communities in the creative industries," Post-Print halshs-00848861, HAL.
    2. Bootz, Jean-Philippe & Durance, Philippe & Monti, Régine, 2019. "Foresight and knowledge management. New developments in theory and practice," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 80-83.
    3. Daniel Palacios-Marqués & Salvador Roig-Dobón & Irene Comeig, 2017. "Background factors to innovation performance: results of an empirical study using fsQCA methodology," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 1939-1953, September.
    4. Amrita Jhawar & S.K. Garg, 2016. "System Dynamics Modelling to Study the Effects of Investment in Information Technology on Logistics Performance: A Case Study from India," International Journal of System Dynamics Applications (IJSDA), IGI Global Scientific Publishing, vol. 5(2), pages 19-40, April.
    5. Esther Tippmann & Pamela Sharkey Scott & Andrew Parker, 2017. "Boundary Capabilities in MNCs: Knowledge Transformation for Creative Solution Development," Journal of Management Studies, Wiley Blackwell, vol. 54(4), pages 455-482, June.
    6. Yan Huang & Param Vir Singh & Kannan Srinivasan, 2014. "Crowdsourcing New Product Ideas Under Consumer Learning," Management Science, INFORMS, vol. 60(9), pages 2138-2159, September.
    7. Linda Argote & Manpreet Hora, 2017. "Organizational Learning and Management of Technology," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 579-590, April.
    8. Kwangsoo Shin & Eungdo Kim & EuiSeob Jeong, 2018. "Structural Relationship and Influence between Open Innovation Capacities and Performances," Sustainability, MDPI, vol. 10(8), pages 1-18, August.
    9. Frankort, Hans T.W., 2016. "When does knowledge acquisition in R&D alliances increase new product development? The moderating roles of technological relatedness and product-market competition," Research Policy, Elsevier, vol. 45(1), pages 291-302.
    10. Santoro, Gabriele & Vrontis, Demetris & Thrassou, Alkis & Dezi, Luca, 2018. "The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 347-354.
    11. Guy Parmentier & Vincent Mangematin, 2014. "Orchestrating innovation with user communities in the creative industries," Grenoble Ecole de Management (Post-Print) halshs-00848861, HAL.
    12. Parmentier, Guy & Mangematin, Vincent, 2014. "Orchestrating innovation with user communities in the creative industries," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 40-53.
    13. Schemmann, Brita & Herrmann, Andrea M. & Chappin, Maryse M.H. & Heimeriks, Gaston J., 2016. "Crowdsourcing ideas: Involving ordinary users in the ideation phase of new product development," Research Policy, Elsevier, vol. 45(6), pages 1145-1154.
    14. Jean-Philippe Bootz & Philippe Durance & Régine Monti, 2019. "Foresight and knowledge management. New developments in theory and practice," Post-Print hal-02864597, HAL.
    15. Mahr, Dominik & Lievens, Annouk, 2012. "Virtual lead user communities: Drivers of knowledge creation for innovation," Research Policy, Elsevier, vol. 41(1), pages 167-177.
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    4. Luis Roberto Vega-González; Roberto Misael Vega-Salinas & Roberto Misael Vega-Salinas, 2020. "Plan para desarrollar redes de vinculación y gestión en Instituciones de I&D en Salud: estudio de caso," Revista CEA, Instituto Tecnológico Metropolitano, vol. 6(12), pages 1-23.

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