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A Decision Tool for Business Process Crowdsourcing: Ontology, Design, and Evaluation

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  • Nguyen Hoang Thuan

    (Can Tho University of Technology)

  • Pedro Antunes

    (Victoria University of Wellington)

  • David Johnstone

    (Victoria University of Wellington)

Abstract

As the crowdsourcing strategy becomes better known, the managerial decisions necessary to establish it as a viable business process are becoming increasingly important. However, a divide and conquer approach, currently dominant in the field, leads to scattered decision support for the crowdsourcing processes. We propose an ontology-based decision tool that supports the whole business process crowdsourcing. The advantage of the ontology approach is that it collects and consolidates knowledge from the existing literature to provide a solid knowledge base for the tool construction. Operationalising the ontology, the tool helps make the decision to crowdsource or not, and choose appropriate design alternatives for the crowdsourcing process. We evaluated the tool through a controlled experiment with 190 participants. The obtained results show that the tool is useful by significantly increasing: (1) the performance in making the decision to crowdsource or not, and (2) the design of crowdsourcing processes.

Suggested Citation

  • Nguyen Hoang Thuan & Pedro Antunes & David Johnstone, 2018. "A Decision Tool for Business Process Crowdsourcing: Ontology, Design, and Evaluation," Group Decision and Negotiation, Springer, vol. 27(2), pages 285-312, April.
    • Handle: RePEc:spr:grdene:v:27:y:2018:i:2:d:10.1007_s10726-018-9557-y
    DOI: 10.1007/s10726-018-9557-y
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    References listed on IDEAS

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    1. Yuxiang Zhao & Qinghua Zhu, 2014. "Evaluation on crowdsourcing research: Current status and future direction," Information Systems Frontiers, Springer, vol. 16(3), pages 417-434, July.
    2. 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.
    3. Nicola Guarino & Daniel Oberle & Steffen Staab, 2009. "What Is an Ontology?," International Handbooks on Information Systems, in: Steffen Staab & Rudi Studer (ed.), Handbook on Ontologies, pages 1-17, Springer.
    4. David Geiger, 2016. "Personalized Task Recommendation in Crowdsourcing Systems," Progress in IS, Springer, edition 1, number 978-3-319-22291-2, February.
    5. Louise Muhdi & Michael Daiber & Sascha Friesike & Roman Boutellier, 2011. "The crowdsourcing process: an intermediary mediated idea generation approach in the early phase of innovation," International Journal of Entrepreneurship and Innovation Management, Inderscience Enterprises Ltd, vol. 14(4), pages 315-332.
    Full references (including those not matched with items on IDEAS)

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