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Crowdsourcing based business models: In search of evidence for innovation 2.0

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  • Sonja Marjanovic
  • Caroline Fry
  • Joanna Chataway

Abstract

Open innovation has gained increased attention as a potential paradigm for improving innovation performance. This paper addresses crowdsourcing, an under-researched type of open innovation that is often enabled by the web. We focus on a type of crowdsourcing where financial rewards exist, where a crowd is tasked with solving problems which solution seekers anticipate to be empirically provable, but where the source of solutions is uncertain and addressing the challenge in-house perceived to be too high-risk. There is a growing recourse to crowdsourcing, but we really know little about its effectiveness, best practices, challenges and implications. We consider the shift to more open innovation trajectories over time, define crowdsourcing as an open innovation model, and clarify how crowdsourcing differs from other types of 'open' innovation (e.g. outsourcing and open-source). We explore who is crowdsourcing and how, looking at the potential diversity and core features and variables implicated in crowdsourcing models. Copyright The Author 2012. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com, Oxford University Press.

Suggested Citation

  • Sonja Marjanovic & Caroline Fry & Joanna Chataway, 2012. "Crowdsourcing based business models: In search of evidence for innovation 2.0," Science and Public Policy, Oxford University Press, vol. 39(3), pages 318-332, February.
    • Handle: RePEc:oup:scippl:v:39:y:2012:i:3:p:318-332
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    Cited by:

    1. Nguyen Hoang Thuan & Pedro Antunes & David Johnstone, 2016. "Factors influencing the decision to crowdsource: A systematic literature review," Information Systems Frontiers, Springer, vol. 18(1), pages 47-68, February.
    2. Havlícek, Zdenek & Lohr, Vaclav & Smejkalova, M. & Grosz, J. & Benda, Petr, 2013. "Agritourism Farms - Evaluation of Their Websites Quality and Web 2.0," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(1), pages 1-8, March.
    3. Livio Cricelli & Michele Grimaldi & Silvia Vermicelli, 2022. "Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda," Review of Managerial Science, Springer, vol. 16(5), pages 1269-1310, July.
    4. Carlos Devece & Daniel Palacios-Marqués & D. Enrique Ribeiro-Soriano, 2021. "IT-based strategy, capabilities, and practices: crowdsourcing implementation in market-oriented firms," Review of Managerial Science, Springer, vol. 15(1), pages 15-32, January.
    5. Soe-Tsyr Daphne Yuan & Ching-Fang Hsieh, 2018. "An impactful crowdsourcing intermediary design - a case of a service imagery crowdsourcing system," Information Systems Frontiers, Springer, vol. 20(4), pages 841-862, August.
    6. Vincenzo Vignieri, 2021. "Crowdsourcing as a mode of open innovation: Exploring drivers of success of a multisided platform through system dynamics modelling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(1), pages 108-124, January.
    7. Saebi, Tina & Foss, Nicolai J., 2015. "Business models for open innovation: Matching heterogeneous open innovation strategies with business model dimensions," European Management Journal, Elsevier, vol. 33(3), pages 201-213.
    8. Regina LENART-GANSINIEC, 2016. "Crowdsourcing And Organisational Learning €“ A Systematic Literature Review," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 10(1), pages 115-125, November.
    9. Xuefeng Zhang & Bengang Gong & Yaqin Cao & Yi Ding & Jiafu Su, 2022. "Investigating participants’ attributes for participant estimation in knowledge-intensive crowdsourcing: a fuzzy DEMATEL based approach," Electronic Commerce Research, Springer, vol. 22(3), pages 811-842, September.
    10. Cynthia Weiyi Cai & Jennifer Gippel & Yushu Zhu & Abhay Kumar Singh, 2019. "The power of crowds: Grand challenges in the Asia-Pacific region," Australian Journal of Management, Australian School of Business, vol. 44(4), pages 551-570, November.
    11. Sultana Lubna Alam & John Campbell, 2017. "Temporal Motivations of Volunteers to Participate in Cultural Crowdsourcing Work," Information Systems Research, INFORMS, vol. 28(4), pages 744-759, December.
    12. Soe-Tsyr Daphne Yuan & Ching-Fang Hsieh, 0. "An impactful crowdsourcing intermediary design - a case of a service imagery crowdsourcing system," Information Systems Frontiers, Springer, vol. 0, pages 1-22.
    13. JinHyo Joseph Yun & EuiSeob Jeong & JinSeu Park, 2016. "Network Analysis of Open Innovation," Sustainability, MDPI, vol. 8(8), pages 1-21, July.
    14. repec:scn:ecprob:y:2018:i:1:p:15-20 is not listed on IDEAS
    15. Malecki, Edward J., 2017. "Real people, virtual places, and the spaces in between," Socio-Economic Planning Sciences, Elsevier, vol. 58(C), pages 3-12.
    16. Madanaguli, Arun & Dhir, Amandeep & Talwar, Shalini & Clauss, Thomas & Kraus, Sascha & Kaur, Puneet, 2023. "Diving into the uncertainties of open innovation: A systematic review of risks to uncover pertinent typologies and unexplored horizons," Technovation, Elsevier, vol. 119(C).
    17. Palacios, Miguel & Martinez-Corral, Alberto & Nisar, Arsalan & Grijalvo, Mercedes, 2016. "Crowdsourcing and organizational forms: Emerging trends and research implications," Journal of Business Research, Elsevier, vol. 69(5), pages 1834-1839.
    18. Kubiak Katarzyna & Wziątek-Kubiak Anna, 2019. "Business models innovation based on crowds: a comparative study," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 55(2), pages 127-147, June.
    19. 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.
    20. Xiaochuan Song & Graham H. Lowman & Peter Harms, 2020. "Justice for the Crowd: Organizational Justice and Turnover in Crowd-Based Labor," Administrative Sciences, MDPI, vol. 10(4), pages 1-37, November.

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