IDEAS home Printed from https://ideas.repec.org/a/aae/journl/v14y2017i4p43-60.html
   My bibliography  Save this article

Theoretical and Methodical Aspects of Crowdsourcing: Effectiveness and Its Measuring

Author

Listed:
  • Regina Lenart-Gansiniec

    (Jagiellonian University)

Abstract

In our tmes, a growing interest of organizatons, including also the public ones, in crowdsourcing, can be observed. It enables to acquire knowledge located in virtual communites. However, despite many benefts, crowdsourcing initatves very ofen fail. Therefore, a need for their evaluaton is recognized. Nonetheless, in the subject literature, a shortall of criteria and methods of evaluatng crowdsourcing may be observed. The existng proposals do not ensure a comprehensive picture of crowdsourcing, and they do not take into account its multdimensionality. The artcle is intended for a presentaton of the ways of evaluatng crowdsourcing and an original proposal of a list of indicators, which may be used for evaluatng crowdsourcing in public organizatons. The artcle presents the original proposal of actvites, by which it is possible to assess the degree of implementaton of the adopted tasks and determine the level of obtained crowdsourcing results. The conducted research allowed to recognize that it is possible to measure crowdsourcing results using quanttatve and qualitatve indicators. A prerequisite for selectng the appropriate means is frst of all to indicate the purposes for which crowdsourcing should be used.

Suggested Citation

  • Regina Lenart-Gansiniec, 2017. "Theoretical and Methodical Aspects of Crowdsourcing: Effectiveness and Its Measuring," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 14(4), pages 43-60.
    • Handle: RePEc:aae:journl:v:14:y:2017:i:4:p:43-60
    DOI: 10.7341/20171343
    as

    Download full text from publisher

    File URL: http://jemi.edu.pl/uploadedFiles/file/all-issues/vol13/issue4/JEMI_Vol13_Issue4_2017_Article3.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.7341/20171343?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
    ---><---

    References listed on IDEAS

    as
    1. M.-L. Caron-Fasan & V. Chanal, 2008. "How to invent a new business model based on crowdsourcing: the Crowdspiritcase," Post-Print halshs-00376837, HAL.
    2. Fernando J. Garrigos-Simon & Yeamduan Narangajavana & José Luis Galdón-Salvador, 2014. "Crowdsourcing as a Competitive Advantage for New Business Models," Springer Books, in: Ignacio Gil-Pechuán & Daniel Palacios-Marqués & Marta Peris Peris-Ortiz & Eduardo Vendrell & Cesar F (ed.), Strategies in E-Business, edition 127, chapter 0, pages 29-37, Springer.
    3. Valérie Chanal & Marie-Laurence Caron-Fasan, 2008. "How to invent a new business model based on crowdsourcing : the Crowdspirit ® case," Post-Print halshs-00486794, HAL.
    4. Valérie Chanal & Marie-Laurence Caron-Fasan, 2008. "How to invent a new business model based on crowdsourcing: the Crowdspirit ® case," Post-Print halshs-00370761, HAL.
    5. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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.
    3. Katarzyna Szopik-Depczyńska & Izabela Dembińska & Agnieszka Barczak & Angelika Kędzierska-Szczepaniak & Krzysztof Szczepaniak & Radosław Depczyński & Giuseppe Ioppolo, 2021. "Does Crowdsourcing as Part of User-Driven Innovation Activity Affect Its Results? An Empirical Analysis of R&D Departments in Poland," Energies, MDPI, vol. 14(18), pages 1-20, September.
    4. Eric Schenk & Claude Guittard, 2011. "Towards a characterization of crowdsourcing practices," Post-Print halshs-00439256, HAL.
    5. Isabelle Liotard, 2012. "Les plateformes d'innovation sur Internet : arrangements contractuels, intermédiation et gestion de la propriété intellectuelle," Post-Print hal-00680366, HAL.
    6. Nathalie Colasanti & Chiara Fantauzzi & Rocco Frondizi, 2021. "Innovating Public Service Delivery Through Crowdsourcing: What Role for The Third Sector and Civil Society?," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 12(1), pages 1-15, February.
    7. Andrea Guazzini & Mirko Duradoni & Alessandro Lazzeri & Giorgio Gronchi, 2018. "Simulating the Cost of Cooperation: A Recipe for Collaborative Problem-Solving," Future Internet, MDPI, vol. 10(6), pages 1-17, June.
    8. Larissa Hammon & Hajo Hippner, 2012. "Crowdsourcing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(3), pages 163-166, June.
    9. Rubinton, Brian J, 2011. "Crowdfunding: disintermediated investment banking," MPRA Paper 31649, University Library of Munich, Germany.
    10. Douglas Cumming & Lars Hornuf & Moein Karami & Denis Schweizer, 2023. "Disentangling Crowdfunding from Fraudfunding," Journal of Business Ethics, Springer, vol. 182(4), pages 1103-1128, February.
    11. Thomas Görzen, 2019. "Can Experience be Trusted? Investigating the Effect of Experience on Decision Biases in Crowdworking Platforms," Working Papers Dissertations 55, Paderborn University, Faculty of Business Administration and Economics.
    12. Iskra Panteleeva & Anatoliy Asenov, 2020. "The Entrepreneurship and Innovation Context in an Integrated Model for the Development of Economies and Enterprises," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 4 Year 20, pages 35-51.
    13. Bertschek, Irene & Kesler, Reinhold, 2022. "Let the user speak: Is feedback on Facebook a source of firms’ innovation?," Information Economics and Policy, Elsevier, vol. 60(C).
    14. Das, Kallol & Patel, Jayesh D. & Sharma, Anuj & Shukla, Yupal, 2023. "Creativity in marketing: Examining the intellectual structure using scientometric analysis and topic modeling," Journal of Business Research, Elsevier, vol. 154(C).
    15. Shan, Wei & Qiao, Tong & Zhang, Mingli, 2020. "Getting more resources for better performance: The effect of user-owned resources on the value of user-generated content," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    16. Guohao Wang & Liying Yu, 2020. "Analysis of Enterprise Sustainable Crowdsourcing Incentive Mechanism Based on Principal-Agent Model," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
    17. Bi, Sheng & Liu, Zhiying & Usman, Khalid, 2017. "The influence of online information on investing decisions of reward-based crowdfunding," Journal of Business Research, Elsevier, vol. 71(C), pages 10-18.
    18. Gielens, Katrijn & Steenkamp, Jan-Benedict E.M., 2019. "Branding in the era of digital (dis)intermediation," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 367-384.
    19. Ravi Mehta & Darren W. Dahl & Rui (Juliet) Zhu, 2017. "Social-Recognition versus Financial Incentives? Exploring the Effects of Creativity-Contingent External Rewards on Creative Performance," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(3), pages 536-553.
    20. Tat Chan & Yijun Chen & Chunhua Wu, 2023. "Collaborate to Compete: An Empirical Matching Game Under Incomplete Information in Rank-Order Tournaments," Marketing Science, INFORMS, vol. 42(5), pages 1004-1026, September.

    More about this item

    Keywords

    crowdsourcing; efectveness; measurement; public organizatons;
    All these keywords.

    JEL classification:

    • M20 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • P35 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Public Finance

    Statistics

    Access and download statistics

    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:aae:journl:v:14:y:2017:i:4:p:43-60. 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: Anna Ujwary-Gil (email available below). General contact details of provider: https://fundacjacognitione.org .

    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.