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Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing

Author

Listed:
  • Henner Gimpel

    (Research Center Finance & Information Management, University of Hohenheim - Digital Management, Fraunhofer FIT - Branch Business & Information Systems Engineering)

  • Vanessa Graf-Seyfried

    (Research Center Finance & Information Management, Branch Business & Information Systems Engineering of the Fraunhofer FIT)

  • Robert Laubacher

    (Massachusetts Institute of Technology (MIT))

  • Oliver Meindl

    (Research Center Finance & Information Management, University of Hohenheim - Digital Management, Fraunhofer FIT - Branch Business & Information Systems Engineering)

Abstract

Crowdsourcing holds great potential: macro-task crowdsourcing can, for example, contribute to work addressing climate change. Macro-task crowdsourcing aims to use the wisdom of a crowd to tackle non-trivial tasks such as wicked problems. However, macro-task crowdsourcing is labor-intensive and complex to facilitate, which limits its efficiency, effectiveness, and use. Technological advancements in artificial intelligence (AI) might overcome these limits by supporting the facilitation of crowdsourcing. However, AI’s potential for macro-task crowdsourcing facilitation needs to be better understood for this to happen. Here, we turn to affordance theory to develop this understanding. Affordances help us describe action possibilities that characterize the relationship between the facilitator and AI, within macro-task crowdsourcing. We follow a two-stage, bottom-up approach: The initial development stage is based on a structured analysis of academic literature. The subsequent validation & refinement stage includes two observed macro-task crowdsourcing initiatives and six expert interviews. From our analysis, we derive seven AI affordances that support 17 facilitation activities in macro-task crowdsourcing. We also identify specific manifestations that illustrate the affordances. Our findings increase the scholarly understanding of macro-task crowdsourcing and advance the discourse on facilitation. Further, they help practitioners identify potential ways to integrate AI into crowdsourcing facilitation. These results could improve the efficiency of facilitation activities and the effectiveness of macro-task crowdsourcing.

Suggested Citation

  • Henner Gimpel & Vanessa Graf-Seyfried & Robert Laubacher & Oliver Meindl, 2023. "Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing," Group Decision and Negotiation, Springer, vol. 32(1), pages 75-124, February.
    • Handle: RePEc:spr:grdene:v:32:y:2023:i:1:d:10.1007_s10726-022-09801-1
    DOI: 10.1007/s10726-022-09801-1
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    1. Usha Kiruthika & Thamarai Selvi Somasundaram & S. Kanaga Suba Raja, 2020. "Lifecycle Model of a Negotiation Agent: A Survey of Automated Negotiation Techniques," Group Decision and Negotiation, Springer, vol. 29(6), pages 1239-1262, December.
    2. Gert-Jan de Vreede & Fred Niederman & Ilse Paarlberg, 2002. "Towards an Instrument to Measure Participants' Perceptions on Facilitation in Group Support Systems Meetings," Group Decision and Negotiation, Springer, vol. 11(2), pages 127-144, March.
    3. Aida Azadegan & Gwendolyn Kolfschoten, 2014. "An Assessment Framework for Practicing Facilitator," Group Decision and Negotiation, Springer, vol. 23(5), pages 1013-1045, September.
    4. Pierluigi Rippa & Ivana Quinto & Valentina Lazzarotti & Luisa Pellegrini, 2016. "Role of innovation intermediaries in open innovation practices: differences between micro-small and medium-large firms," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 11(3), pages 377-396.
    5. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    6. A. Adla & P. Zarate & J.-L. Soubie, 2011. "A Proposal of Toolkit for GDSS Facilitators," Group Decision and Negotiation, Springer, vol. 20(1), pages 57-77, January.
    7. 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.
    8. Pumplun, Luisa & Tauchert, Christoph & Heidt, Margareta, 2019. "A New Organizational Chassis for Artificial Intelligence - Exploring Organizational Readiness Factors," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 112582, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Terri L. Griffith & John E. Sawyer & M. Scott Poole, 2019. "Systems Savvy: Practical Intelligence for Transformation of Sociotechnical Systems," Group Decision and Negotiation, Springer, vol. 28(3), pages 475-499, June.
    10. Jan Leimeister, 2010. "Collective Intelligence," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(4), pages 245-248, August.
    11. Mohamed Khalifa & RonChi-Wai Kwok & Robert Davison, 2002. "The Effects of Process and Content Facilitation Restrictiveness on GSS-Mediated Collaborative Learning," Group Decision and Negotiation, Springer, vol. 11(5), pages 345-361, September.
    12. Arun Rai, 2020. "Explainable AI: from black box to glass box," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 137-141, January.
    13. Ana Vukicevic & Milan Vukicevic & Sandro Radovanovic & Boris Delibasic, 2022. "BargCrEx: A System for Bargaining Based Aggregation of Crowd and Expert Opinions in Crowdsourcing," Group Decision and Negotiation, Springer, vol. 31(4), pages 789-818, August.
    14. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    15. Alexander Maedche & Christine Legner & Alexander Benlian & Benedikt Berger & Henner Gimpel & Thomas Hess & Oliver Hinz & Stefan Morana & Matthias Söllner, 2019. "AI-Based Digital Assistants," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 535-544, August.
    16. Imed Boughzala & Triparna de Vreede & Cuong Nguyen & Gert-Jan de Vreede, 2014. "Towards a maturity model for the assessment of ideation in crowdsourcing projects," Grenoble Ecole de Management (Post-Print) hal-01244283, HAL.
    17. L. Alberto Franco & Mie Femø Nielsen, 2018. "Examining Group Facilitation In Situ: The Use of Formulations in Facilitation Practice," Group Decision and Negotiation, Springer, vol. 27(5), pages 735-756, October.
    18. Blohm Ivo & Zogaj Shkodran & Bretschneider Ulrich & Leimeister Jan Marco, 2020. "How to Manage Crowdsourcing Platforms Effectively," NIM Marketing Intelligence Review, Sciendo, vol. 12(1), pages 18-23, May.
    19. Dominik Siemon, 2022. "Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration," Group Decision and Negotiation, Springer, vol. 31(5), pages 871-912, October.
    20. Sigifredo Laengle & Nikunja Mohan Modak & Jose M. Merigo & Gustavo Zurita, 2018. "Twenty-Five Years of Group Decision and Negotiation: A Bibliometric Overview," Group Decision and Negotiation, Springer, vol. 27(4), pages 505-542, August.
    21. Adriana S. Vivacqua & Leandro Carreira Marques & Marcos S. Ferreira & Jano M. Souza, 2011. "Computational Indicators to Assist Meeting Facilitation," Group Decision and Negotiation, Springer, vol. 20(5), pages 667-684, September.
    22. Mahmood Hosseini & Keith Phalp & Jacqui Taylor & Raian Ali, 2015. "On the Configuration of Crowdsourcing Projects," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 6(3), pages 27-45, July.
    23. Gwendolyn L. Kolfschoten & Mariëlle Hengst-Bruggeling & Gert-Jan Vreede, 2007. "Issues in the Design of Facilitated Collaboration Processes," Group Decision and Negotiation, Springer, vol. 16(4), pages 347-361, July.
    24. G. L. Kolfschoten & P. Grünbacher & R. O. Briggs, 2011. "Modifiers for Quality Assurance in Group Facilitation," Group Decision and Negotiation, Springer, vol. 20(5), pages 685-705, September.
    25. Olivier Toubia & Oded Netzer, 2017. "Idea Generation, Creativity, and Prototypicality," Marketing Science, INFORMS, vol. 36(1), pages 1-20, January.
    26. Pedro Antunes & Tânia Ho, 2001. "The Design of a GDSS Meeting Preparation Tool," Group Decision and Negotiation, Springer, vol. 10(1), pages 5-25, January.
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