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Designing Technology Platforms for Collective Co-Production: Advice When Selecting Crowdsourcing Platforms

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Abstract

How should the technology platform look like in order to unmindcuff the crowd in a way that collective production occurs? Since our initial search for technology platforms did not turn up any platforms that unmindcuffed the crowd, we describe the crowdsourcing platform interface which should be in place, which can make the difference between a less productive Idea-Sharing crowd and a crowd with the capability of collectively producing innovative ideas. We frame our guidance in terms of design principles, that is, guidelines for ensuring that the platform will promote collective production.

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Notes

  1. 1.

    Majchrzak, A., Malhotra, A. (2013) Towards an information systems perspective and research agenda for open innovation crowdsourcing. Journal of Strategic Information Systems. 22(4), 257–268

  2. 2.

    Martinez, M. G. (2015). Solver engagement in knowledge sharing in crowdsourcing communities: Exploring the link to creativity. Research Policy, 44(8), 1419–1430.

    Martinez, M. G. (2017). Inspiring crowdsourcing communities to create novel solutions: Competition design and the mediating role of trust. Technological Forecasting and Social Change, 117, 296–304.

  3. 3.

    Leimeister, J. M., Huber, M., Bretschneider, U., & Krcmar, H. (2009). Leveraging crowdsourcing: activation-supporting components for IT-based ideas competition. Journal of management information systems, 26(1), 197–224.

  4. 4.

    Leonard-Barton, D. A. Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation. Boston: Harvard Business School Press, 1995 speaks of creative abrasion, but not in terms of arguing and fighting, but in terms of understanding that differences exist and each are valid.

  5. 5.

    Faraj, S., Jarvenpaa, S.L., Majchrzak, A. (2011) Knowledge collaboration in online communities. Organization Science, 22(5), 1224–1239.

  6. 6.

    Kane, G., Johnson, J., Majchrzak, A. (2014) Emergent lifecycle: The tension between knowledge change and knowledge retention in open online co-production communities. Management Science. 60(12): 3026–3048.

  7. 7.

    The importance of encouraging parallel problem definitions has also been raised in the context of social software by Von Krogh, G. (2012). How does social software change knowledge management? Toward a strategic research agenda. The Journal of Strategic Information Systems, 21(2), 154–164.

  8. 8.

    Sun, Y. (2019) Crowdsourcing For Integrative And Innovative Knowledge: Knowledge Diversity, Network Position, And Semantic Patterns Of Collective Reflection, PhD Dissertation, University of Southern California.

  9. 9.

    Majchrzak, A., Griffith, T., Reez, D., Alexy, O. (2018) Organizations Designed for Grand Challenges: Generative Dilemmas and Implications for Organization Design Theory. Academy of Management Discoveries, 4(4), 472–496.

  10. 10.

    Von Krogh, G. (2012). How does social software change knowledge management? Toward a strategic research agenda. The Journal of Strategic Information Systems, 21(2), 154–164.

References

  • Faraj, S., Jarvenpaa, S. L., & Majchrzak, A. (2011). Knowledge Collaboration in Online Communities. Organization Science, 22(5), 1224–1239.

    Article  Google Scholar 

  • Kane, G., Johnson, J., & Majchrzak, A. (2014). Emergent Lifecycle: The Tension between Knowledge Change and Knowledge Retention in Open Online Co-production Communities. Management Science, 60(12), 3026–3048.

    Article  Google Scholar 

  • Leimeister, J. M., Huber, M., Bretschneider, U., & Krcmar, H. (2009). Leveraging Crowdsourcing: Activation-Supporting Components for IT-Based Ideas Competition. Journal of Management Information Systems, 26(1), 197–224.

    Article  Google Scholar 

  • Leonard-Barton, D. A. (1995). Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation. Boston: Harvard Business School Press.

    Google Scholar 

  • Majchrzak, A., Griffith, T., Reez, D., & Alexy, O. (2018). Organizations Designed for Grand Challenges: Generative Dilemmas and Implications for Organization Design Theory. Academy of Management Discoveries, 4(4), 472–496.

    Article  Google Scholar 

  • Majchrzak, A., & Malhotra, A. (2013). Towards An Information Systems Perspective and Research Agenda on Crowdsourcing for Innovation. The Journal of Strategic Information Systems, 22(4), 257–269.

    Article  Google Scholar 

  • Martinez, M. G. (2015). Solver Engagement in Knowledge Sharing in Crowdsourcing Communities: Exploring the Link to Creativity. Research Policy, 44(8), 1419–1430.

    Article  Google Scholar 

  • Martinez, M. G. (2017). Inspiring Crowdsourcing Communities to Create Novel Solutions: Competition Design and the Mediating Role of Trust. Technological Forecasting and Social Change, 117, 296–304.

    Article  Google Scholar 

  • Von Krogh, G. (2012). How Does Social Software Change Knowledge Management? Toward a Strategic Research Agenda. The Journal of Strategic Information Systems, 21(2), 154–164.

    Article  Google Scholar 

  • Sun, Y. (2019). Crowdsourcing for Integrative And Innovative Knowledge: Knowledge Diversity, Network Position, and Semantic Patterns of Collective Reflection. PhD Dissertation, University of Southern California.

    Google Scholar 

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Correspondence to Ann Majchrzak .

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Majchrzak, A., Malhotra, A. (2020). Designing Technology Platforms for Collective Co-Production: Advice When Selecting Crowdsourcing Platforms. In: Unleashing the Crowd. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-25557-2_9

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