IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/vyid10.1007_s10796-016-9674-6.html
   My bibliography  Save this article

Estimating participants for knowledge-intensive tasks in a network of crowdsourcing marketplaces

Author

Listed:
  • Yiwei Gong

    (Wuhan University)

Abstract

Crowdsourcing has become an increasingly attractive practice for companies to abstain on-demand workforce and higher level of flexibility in open contexts. While knowledge-intensive crowdsourcing is expected to be prosperous, most current crowdsourcing calls are still about general and low-priced tasks. An obstacle of conducing knowledge-intensive crowdsourcing is the lack of diversity of expertise and the small scale of crowd in isolated crowdsourcing marketplaces. In this paper, a network of crowdsourcing marketplaces is envisioned for efficient knowledge-intensive crowdsourcing and engagement of massive and diverse participants across different marketplaces. Based on an algorithm for estimating participants for knowledge-intensive crowdsourcing tasks, an experiment with 100 simulations indicates that conducting crowdsourcing tasks in a network of crowdsourcing marketplaces results in higher customer satisfaction than doing that in isolated marketplaces. This finding advocates the development of a network of crowdsourcing marketplaces to open up the potential of knowledge-intensive crowdsourcing.

Suggested Citation

  • Yiwei Gong, 0. "Estimating participants for knowledge-intensive tasks in a network of crowdsourcing marketplaces," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    • Handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-016-9674-6
    DOI: 10.1007/s10796-016-9674-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-016-9674-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-016-9674-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sachin K. Patil & Ravi Kant, 2014. "Ranking the barriers of knowledge management adoption in supply chain using fuzzy AHP method," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 8(1), pages 52-75.
    2. Diamond, Peter A, 1982. "Aggregate Demand Management in Search Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 90(5), pages 881-894, October.
    3. Christopher A. Pissarides, 2011. "Equilibrium in the Labor Market with Search Frictions," American Economic Review, American Economic Association, vol. 101(4), pages 1092-1105, June.
    4. Williamson, Oliver, 2009. "The Theory of the Firm as Governance Structure: From Choice to Contract," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, pages 111-134, December.
    5. Dale T. Mortensen, 2011. "Markets with Search Friction and the DMP Model," American Economic Review, American Economic Association, vol. 101(4), pages 1073-1091, June.
    6. 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.
    7. Baozhou Lu & Rudy Hirschheim & Andrew Schwarz, 2015. "Examining the antecedent factors of online microsourcing," Information Systems Frontiers, Springer, vol. 17(3), pages 601-617, June.
    8. Fernando J. Garrigos-Simon & Yeamduan Narangajavana, 2015. "From Crowdsourcing to the Use of Masscapital. The Common Perspective of the Success of Apple, Facebook, Google, Lego, TripAdvisor, and Zara," Springer Books, in: Fernando J. Garrigos-Simon & Ignacio Gil-Pechuán & Sofia Estelles-Miguel (ed.), Advances in Crowdsourcing, edition 127, chapter 0, pages 1-13, Springer.
    9. Dominik Mahr & Aric Rindfleisch & Rebecca Slotegraaf, 2015. "Enhancing Crowdsourcing Success: the Role of Creative and Deliberate Problem-Solving Styles," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(3), pages 209-221, September.
    10. 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.
    11. Lars Bo Jeppesen & Karim R. Lakhani, 2010. "Marginality and Problem-Solving Effectiveness in Broadcast Search," Organization Science, INFORMS, vol. 21(5), pages 1016-1033, October.
    12. Ford, Robert C. & Richard, Brendan & Ciuchta, Michael P., 2015. "Crowdsourcing: A new way of employing non-employees?," Business Horizons, Elsevier, vol. 58(4), pages 377-388.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marijn Janssen & David Konopnicki & Jane L. Snowdon & Adegboyega Ojo, 2017. "Driving public sector innovation using big and open linked data (BOLD)," Information Systems Frontiers, Springer, vol. 19(2), pages 189-195, April.
    2. Pollok, Patrick & Lüttgens, Dirk & Piller, Frank T., 2019. "Attracting solutions in crowdsourcing contests: The role of knowledge distance, identity disclosure, and seeker status," Research Policy, Elsevier, vol. 48(1), pages 98-114.
    3. Marijn Janssen & David Konopnicki & Jane L. Snowdon & Adegboyega Ojo, 0. "Driving public sector innovation using big and open linked data (BOLD)," Information Systems Frontiers, Springer, vol. 0, pages 1-7.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yiwei Gong, 2017. "Estimating participants for knowledge-intensive tasks in a network of crowdsourcing marketplaces," Information Systems Frontiers, Springer, vol. 19(2), pages 301-319, April.
    2. 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.
    3. Danthine, Samuel & De Vroey, Michel, 2017. "The Integration Of Search In Macroeconomics: Two Alternative Paths," Journal of the History of Economic Thought, Cambridge University Press, vol. 39(4), pages 523-548, December.
    4. Schenk, Eric & Guittard, Claude & Pénin, Julien, 2019. "Open or proprietary? Choosing the right crowdsourcing platform for innovation," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 303-310.
    5. YOSHIKAWA Hiroshi, 2013. "Stochastic Macro-equilibrium and Microfoundations for Keynesian Economics," Discussion papers 13039, Research Institute of Economy, Trade and Industry (RIETI).
    6. Xuanwei Zhao & Enjun Xia, 2016. "Research On The Operation Mechanism Of Network Crowdsourcing System And Constitutions Of Crowdsourcing Capability," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1-18, October.
    7. Pollok, Patrick & Lüttgens, Dirk & Piller, Frank T., 2019. "Attracting solutions in crowdsourcing contests: The role of knowledge distance, identity disclosure, and seeker status," Research Policy, Elsevier, vol. 48(1), pages 98-114.
    8. Gaetano Lisi, 2024. "Shadow economy, “mixed” firms, and labour market outcomes," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(3), pages 685-701, June.
    9. Hiroshi Yoshikawa, 2015. "Stochastic macro-equilibrium: a microfoundation for the Keynesian economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 31-55, April.
    10. Hiroshi Yoshikawa, 2011. "Stochastic Macro-equilibrium and A Microfoundation for the Keynesian Economics," CIRJE F-Series CIRJE-F-827, CIRJE, Faculty of Economics, University of Tokyo.
    11. Regina Lenart-Gansiniec, 2017. "Factors Influencing Decisions about Crowdsourcing in the Public Sector: A Literature Review," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(6), pages 1997-2005.
    12. Andries, Petra & Clarysse, Bart & Costa, Sergio, 2021. "Technology ventures' engagement of external actors in the search for viable market applications: On the relevance of Technology Broadcasting and Systematic Validation," Journal of Business Venturing, Elsevier, vol. 36(6).
    13. Tekic, Anja & Alfonzo Pacheco, Diana Vilma, 2024. "Contest design and solvers' engagement behaviour in crowdsourcing: The neo-configurational perspective," Technovation, Elsevier, vol. 132(C).
    14. Tsasa, Jean-Paul K., 2022. "Labor market volatility in a fully specified RBC search model: An analytical investigation," Journal of Mathematical Economics, Elsevier, vol. 103(C).
    15. Debra Howcroft & Birgitta Bergvall-KÃ¥reborn, 2019. "A Typology of Crowdwork Platforms," Work, Employment & Society, British Sociological Association, vol. 33(1), pages 21-38, February.
    16. Olivera Marjanovic & Vijaya Murthy, 2022. "The Emerging Liquid IT Workforce: Theorizing Their Personal Competitive Advantage," Information Systems Frontiers, Springer, vol. 24(6), pages 1775-1793, December.
    17. 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.
    18. Hideaki Aoyama & Hiroshi Iyetomi & Hiroshi Yoshikawa, 2015. "Equilibrium distribution of labor productivity: a theoretical model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(1), pages 57-66, April.
    19. Fields, Gary S., 2011. "Labor market analysis for developing countries," Labour Economics, Elsevier, vol. 18(S1), pages 16-22.
    20. Matthew Groh & David McKenzie & Nour Shammout & Tara Vishwanath, 2015. "Testing the importance of search frictions and matching through a randomized experiment in Jordan," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-20, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-016-9674-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.