Abstract
In order to integrate a crowdsourcing strategy to an organization’s business processes, managers need to decide whether or not crowdsourcing is suitable for the organizational context. This study conducted a structured literature review to identify factors related to this decision. These identified factors have been synthesized into a framework for supporting the decision to crowdsource. Based on this framework, recommendations for managers, which were summarized in the decision tables, have been proposed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Howe, J.: The rise of crowdsourcing. In: Wired Magazine 2006, pp. 1–4. Dorsey Press (2006)
Whitla, P.: Crowdsourcing and its application in marketing activities. Contemporary Management Research 5(1) (2009)
Brabham, D.C.: Crowdsourcing as a Model for Problem Solving: An Introduction and Cases. Convergence: The International Journal of Research into New Media Technologies 14(1), 75–90 (2008)
Vukovic, M., Bartolini, C.: Towards a research agenda for enterprise crowdsourcing. In: Margaria, T., Steffen, B. (eds.) ISoLA 2010, Part I. LNCS, vol. 6415, pp. 425–434. Springer, Heidelberg (2010)
Andriole, S.J.: Business impact of Web 2.0 technologies. Communications of the ACM 53(12), 67–79 (2010)
Malone, T.W., Laubacher, R., Dellarocas, C.: The collective intelligence genome. IEEE Engineering Management Review 38(3), 38 (2010)
Khazankin, R., Satzger, B., Dustdar, S.: Optimized execution of business processes on crowdsourcing platforms. In: IEEE 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2012), Pittsburgh, PA (2012)
Zheng, H., Li, D., Hou, W.: Task Design, Motivation, and Participation in Crowdsourcing Contests. International Journal of Electronic Commerce 15(4), 57–88 (2011)
Khasraghi, H.J., Tarokh, M.J.: Efficient Business Process Reengineering with Crowdsourcing. International Journal of Applied Information Systems 2(7) (2012)
Zhao, Y., Zhu, Q.: Evaluation on crowdsourcing research: Current status and future direction. Information Systems Frontiers, 1–18 (2012)
Rouse, A.C.: A preliminary taxonomy of crowdsourcing. In: ACIS 2010: Information Systems: Defining and Establishing a High Impact Discipline: Proceedings of the 21st Australasian Conference on Information Systems. ACIS (2010)
Ranade, G., Varshney, L.R.: To Crowdsource or not to Crowdsource? In: Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence (2012)
Kittur, A., et al.: The Future of Crowd Work. In: Proceedings of the 2013 Conference on Computer Supported Cooperative Work, San Antonio, TX, USA (2013)
Doan, A., Ramakrishnan, R., Halevy, A.Y.: Crowdsourcing systems on the world-wide web. Communications of the ACM 54(4), 86–96 (2011)
Schenk, E., Guittard, C.: Towards a characterization of crowdsourcing practices. Journal of Innovation Economics (1), 93–107 (2011)
Brabham, D.C.: Moving the crowd at threadless. Information, Communication & Society 13(8), 1122–1145 (2010)
Vukovic, M.: Crowdsourcing for enterprises. In: 2009 World Conference on Services-I. IEEE, Los Angeles (2009)
Vukovic, M., Lopez, M., Laredo, J.: PeopleCloud for the globally integrated enterprise. In: Dan, A., Gittler, F., Toumani, F. (eds.) ICSOC/ServiceWave 2009. LNCS, vol. 6275, pp. 109–114. Springer, Heidelberg (2010)
Estellés-Arolas, E., González-Ladrón-de-Guevara, F.: Towards an integrated crowdsourcing definition. Journal of Information Science 38(2), 189–200 (2012)
Brabham, D.C.: Crowdsourcing. The MIT Press (2013)
Buhrmester, M., Kwang, T., Gosling, S.D.: Amazon’s Mechanical Turk A New Source of Inexpensive, Yet High-Quality, Data? Perspectives on Psychological Science 6(1), 3–5 (2011)
Brabham, D.C.: Motivations for Participation in a Crowdsourcing Application to Improve Public Engagement in Transit Planning. Journal of Applied Communication Research 40(3), 307–328 (2012)
Wexler, M.N.: Reconfiguring the sociology of the crowd: exploring crowdsourcing. International Journal of Sociology and Social Policy 31(1/2), 6–20 (2011)
Kulkarni, A., Can, M., Hartmann, B.: Collaboratively crowdsourcing workflows with turkomatic. In: Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work, pp. 1003–1012. ACM, Seattle (2012)
Brabham, D.C.: A Model for Leveraging Online Communities. In: The Participatory Cultures Handbook, p. 120 (2012)
Geiger, D., et al.: Managing the crowd: towards a taxonomy of crowdsourcing processes. In: Proceedings of the Seventeenth Americas Conference on Information Systems, Detroit, Michigan (2011)
Nickerson, R.C., Varshney, U., Muntermann, J.: A method for taxonomy development and its application in information systems. European Journal of Information Systems (2012)
Tomlinson, B., et al.: Massively distributed authorship of academic papers. In: CHI 2012 Extended Abstracts on Human Factors in Computing Systems, pp. 11–20. ACM, Austin (2012)
Buecheler, T., et al.: Crowdsourcing, open innovation and collective intelligence in the scientific method: a research agenda and operational framework. in Artificial Life XII. In: Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, Odense, Denmark (2010)
Afuah, A., Tucci, C.L.: Crowdsourcing as a solution to distant search. Academy of Management Review 37(3), 355–375 (2012)
Sharma, A.: Crowdsourcing Critical Success Factor Model: Strategies to Harness the Collective Intelligence of the Crowd. Working Paper (2010)
Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: writing a literature review. MIS Quarterly 26(2), xiii–xxiii (2002)
Geiger, D., et al.: Crowdsourcing Information Systems-Definition, Typology, and Design. In: Proceedings of the 33rd International Conference on Information Systems. Association for Information Systems/AIS Electronic Library, AISeL (2012)
Vicente, K.J.: Cognitive work analysis: Toward safe, productive, and healthy computer-based work. CRC Press LLC (1999)
Kazman, R., Chen, H.M.: The metropolis model a new logic for development of crowdsourced systems. Communications of the ACM 52(7), 76–84 (2009)
Saxton, G.D., Oh, O., Kishore, R.: Rules of crowdsourcing: Models, issues, and systems of control. Information Systems Management 30(1), 2–20 (2013)
Heimerl, K., et al.: CommunitySourcing: engaging local crowds to perform expert work via physical kiosks. In: Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems. ACM, Austin (2012)
Burger-Helmchen, T., Pénin, J.: The limits of crowdsourcing inventive activities: What do transaction cost theory and the evolutionary theories of the firm teach us. In: Workshop on Open Source Innovation, Strasbourg, France (2010)
Dow, S., et al.: Shepherding the crowd yields better work. In: Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work. ACM, Seattle (2012)
Muntés-Mulero, V., Paladini, P., Manzoor, J., Gritti, A., Larriba-Pey, J.-L., Mijnhardt, F.: Crowdsourcing for industrial problems. In: Nin, J., Villatoro, D. (eds.) CitiSens 2012. LNCS, vol. 7685, pp. 6–18. Springer, Heidelberg (2013)
Feller, J., et al.: ‘Orchestrating’ sustainable crowdsourcing: A characterisation of solver brokerages. The Journal of Strategic Information Systems (2012)
Roy, S., Balamurugan, C., Gujar, S.: Sustainable employment in India by crowdsourcing enterprise tasks. In: Proceedings of the 3rd ACM Symposium on Computing for Development. ACM (2013)
Kittur, A., et al.: Crowdforge: Crowdsourcing complex work. In: Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology. ACM (2011)
Kingston, A.: “Choir attempted that beautiful anthem “Oh, Radiant Morn” – made a hash of it” - Making a hash of the Adkin Diary transcriptions. In: Workshop on Crowdsourcing for the Digital Humanities and Cultural Heritage Sector (2013)
Marjanovic, S., Fry, C., Chataway, J.: Crowdsourcing based business models: In search of evidence for innovation 2.0. Science and Public Policy 39(3), 318–332 (2012)
Rosen, P.A.: Crowdsourcing Lessons for Organizations. Journal of Decision Systems 20(3), 309–324 (2011)
Van Pelt, C., Sorokin, A.: Designing a scalable crowdsourcing platform. In: Proceedings of the 2012 International Conference on Management of Data. ACM (2012)
Potter, A., McClure, M., Sellers, K.: Mass collaboration problem solving: A new approach to wicked problems. In: 2010 International Symposium on Collaborative Technologies and Systems (CTS). IEEE (2010)
Dow, S., et al.: Shepherding the crowd: managing and providing feedback to crowd workers. In: Proceedings of the 2011 Annual Conference Extended Abstracts on Human Factors in Computing Systems. ACM (2011)
Psaier, H., et al.: Resource and agreement management in dynamic crowdcomputing environments. In: 2011 15th IEEE International Enterprise Distributed Object Computing Conference (EDOC). IEEE (2011)
Mason, W., Suri, S.: Conducting behavioral research on Amazon’s Mechanical Turk. Behavior Research Methods 44(1), 1–23 (2012)
Huysmans, J., et al.: An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models. Decision Support Systems 51(1), 141–154 (2011)
Corney, J., et al.: Putting the crowd to work in a knowledge-based factory. Advanced Engineering Informatics 24(3), 243–250 (2010)
Brabham, D.C.: Crowdsourcing the Public Participation Process for Planning Projects. Planning Theory 8(3), 242–262 (2009)
Holley, R.: Crowdsourcing: How and Why Should Libraries Do It? D-Lib Magazine (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Thuan, N.H., Antunes, P., Johnstone, D. (2013). Factors Influencing the Decision to Crowdsource. In: Antunes, P., Gerosa, M.A., Sylvester, A., Vassileva, J., de Vreede, GJ. (eds) Collaboration and Technology. CRIWG 2013. Lecture Notes in Computer Science, vol 8224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41347-6_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-41347-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41346-9
Online ISBN: 978-3-642-41347-6
eBook Packages: Computer ScienceComputer Science (R0)