Abstract
Crowdsourcing is one of the emerging Web 2.0 based phenomenon and has attracted great attention from both practitioners and scholars over the years. It can facilitate the connectivity and collaboration of people, organizations, and societies. We believe that Information Systems scholars are in a unique position to make significant contributions to this emerging research area and consider it as a new research frontier. However, so far, few studies have elaborated what have been achieved and what should be done. This paper seeks to present a critical examination of the substrate of crowdsourcing research by surveying the landscape of existing studies, including theoretical foundations, research methods, and research foci, and identifies several important research directions for IS scholars from three perspectives—the participant, organization, and system—and which warrant further study. This research contributes to the IS literature and provides insights for researchers, designers, policy-makers, and managers to better understand various issues in crowdsourcing systems and projects.
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References
Agarwal, R., & Henry Lucas, C. J. (2005). The information systems identify crisis: Focusing on high-visibility and high-impact research. MIS Quarterly, 29(3), 381–398.
Alavi, M., & Carlson, P. (1992). A review of MIS research and disciplinary development. Journal of Management Information Systems, 8(4), 45–62.
Albors, J., Ramos, J. C., & Hervas, J. L. (2008). New learning network paradigms: communities of objectives, crowdsourcing, wikis and open source. International Journal of Information Management, 28(3), 194–202.
Alonso, O., Rose, D., & Stewart, B. (2008). Crowdsourcing for relevance evaluation. SIGIR Forum, 42(2), 9–15.
Ambati, V., Vogel, S., & Carbonell, J. (2010). Active learning and crowd-sourcing for machine translation. Proceedings of the LREC, 2010, 2169–2174.
Archak, N. (2010). Money, glory and cheap talk: Analyzing strategic behavior of contestants in simultaneous crowdsourcing contests on TopCoder.com. in Proceedings of the 19th international conference on World Wide Web ACM, pp. 21–30.
Archak, N., & Sundararajan, A. (2009). “Optimal Design of Crowdsourcing Contest,” in Proceedings Thirtieth International Conference on Information Systems (ICIS 2009), Phoenix, USA.
Ba, S., Stallaert, J., & Whinston, A. B. (2001). Introducing a third dimension in decentralized information systems design: the case for incentive alignment. Information Systems Research, 12(3), 225–239.
Bagozzi, R. P., & Dholakia, U. M. (2006). Open source software user communities: a study of participation in Linux user groups. Management Science, 52(7), 1099–1115.
Bayus, B. L. (2010). Crowdsourcing and individual creativity over time: the detrimental effects of past success. SSRN Quantitative Marketing eJournal, Retrieved from http://ssrn.com/abstract=1667101.
Benbasat, I., & Zmud, R. W. (2003). The identify crisis within the IS discipline: defining and communicating the discipline’s core properties. MIS Quarterly, 27(2), 183–194.
Bigliardi, B., Dormio, A. I., & Galati, F. (2012). The adoption of open innovation within the telecommunication industry. European Journal of Innovation Management, 15(1), 27–54.
Bonabeau, E. (2009). Decisions 2.0: the power of collective intelligence. MIT Sloan Management Review, 50(2), 45–52.
Boudreau, M., Gefen, D., & Straub, D. (2001). Validation in IS research: a state-of-the-art assessment. MIS Quarterly, 25(1), 1–24.
Boudreau, K. J., Nicola, L., & Karim, R. L. (2011). Incentives and problem uncertainty in innovation contests: an empirical Analysis. Management Science, 57(5), 843–863.
Brabham, D. C. (2008a). 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.
Brabham, D. C. (2008b). “Moving the crowd at iStockphoto: the composition of the crowd and motivations for participation in a crowdsourcing application. First Monday, 13(6).
Brabham, D. C. (2009). Crowdsourcing the public participation process for planning projects. Planning Theory, 8(3), 242–262.
Brabham, D. C. (2010). Moving the crowd at threadless: motivations for participation in a crowdsourcing application. Information, Communication & Society, 13(8), 1122–1145.
Brabham, D. C. (2011) forthcoming. Crowdsourcing: A model for leveraging online communities. In A. Delwiche & J. Henderson (Eds.), The Routledge Handbook of Participatory Culture.
Brew, A., Greene, D., & Cunningham, P. (2010). Using crowdsourcing and active learning to track sentiment in online media. in Proceedings of ECAI 2010 19th European Conference on Artificial Intelligence, pp. 86–96.
Brito, J. (2008). Hack, Mash, & Peer: Crowdsourcing government transparency. The Columbia Science and Technology Law Review, 9, 119–157.
Chanal, V., Caron-Fasan, & M. L. (2008). How to invent a new business model based on crowdsourcing: The CROWDSPIRIT Case. Conférence de l'Association Internationale de Management Stratégique, Nice, May.
Cheon, M. J., Grover, V., & Teng, T. C. (1995). Theoretical perspectives on the outsourcing of information systems. Journal of Information Technology, 10(4), 209–219.
Chesbrough, H. W. (2003). The era of open innovation. MIT Sloan Management Review, 44(3), 35–41.
Chesbrough, H. (2006a). Open innovation: A new paradigm for understanding industrial innovation. In Chesbrough et al., 2006. “Open Innovation: Researching a New Paradigm (pp 1–12). Oxford: Oxford University Press.
Chesbrough, H. (2006b). Open business models: How to thrive in the new innovation landscape. Cambridge, MA: Harvard Business School Press.
Chiaroni, D., Chiesa, V., & Frattini. (2009). Investigating the adoption of open innovation in the bio-pharmaceutical industry: a framework and an empirical analysis. European Journal of Innovation Management, 12(3), 285–305.
Choffnes, D. R., Bustamante, F. E., & Ge, Z. H. (2010). Crowdsourcing service-level network event monitoring. in Proceedings of the ACM SIGCOMM 2010 conference on SIGCOMM ACM, pp. 387–398.
Chris, C. B. (2009). “Fast, cheap, and creative: Evaluating translation quality using Amazons mechanical Turk,” in Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, Vol. 1. PA, USA: Association for Computational Linguistics Stroudsburg
Delaney, D. G. (2008). Marine invasive species: validation of citizen science and implications for national monitoring networks. Biological Invasions, 10, 117–128.
Diana, R. (2010). Crowdsourcing is outsourcing Web 2.0 Style. Retrieved January 12, from http://regulargeek.com/2010/05/14/crowdsourcing-is-outsourcing-web-2-0-style/
DiPalantino, D., & Vojnovic, M. (2009). Crowdsourcing and all-pay auctions. in Proceedings of the Tenth ACM conference on Electronic commerce, pp. 119–128.
Doan, A., Ramakrishnan, R., & Halevy, A. Y. (2011). Crowdsourcing systems on the world-wide web. Communications of the ACM, 54(4), 86–96.
Eckert, K., Niepert, M., Niemann, C., Buckner, C., Allen, C., & Stuckenschmidt, H. (2010). Crowdsourcing the Assembly of Concept Hierarchies. in Proceedings of the 10th annual joint conference on Digital libraries ACM, pp. 139–148.
Estellés-Arolas, E., & González Ladrón-de-Guevara, F. (2012). Towards an integrated crowdsourcing definition. Journal of Information Science (in press)
Franklin, M, Kossman, D., Kraska, T, Ramesh, S, & Xin, R. (2011). CrowdDB: Answering Queries with Crowdsourcing. In Proceedings of SIGMOD 2011.
Gallivan, M. J. (2001). Striking a balance between trust anti control in a virtual organization: a content analysis of open source software case studies. Information Systems Journal, 11(4), 277–304.
Galloway, A. W. E., et al. (2006). The reliability of citizen science: a case study of Oregon white oak stand surveys. Wildlife Society Bulletin, 34, 1425–1429.
Greengard, S. (2011). Following the Crowd. Communications of the ACM, 54(2), 20–22.
Gregg, D. G. (2010). Designing for collective intelligence. Communications of the ACM, 53(4), 134–138.
Gregor, S. (2006). The Nature of Theory in Information Systems. MIS Quarterly, 30(3), 611–642.
Hars, A., & Ou, S. S. (2002). Working for free? Motivations for participating in open-source projects. International Journal of Electronic Commerce, 6(3), 25–39.
Hauser, L. (1988). A conceptual analysis of information science. Library and Information Science Research, 10, 3–34.
Heer, J., & Bostock, M. (2010). Crowdsourcing Graphical Perception. in Proceedings of the 28th international conference on Human factors in computing systems ACM, pp. 286–295.
Hertel, G., Niedner, S., & Herrmann, S. (2003). Motivation of software developers in open source projects: an internet-based survey of contributors to the Linux Kernel. Research Policy, 32(7), 1159–1177.
Hevner, A., March, S., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–105.
Holley, R. (2009). Crowdsourcing and social engagement: potential, power and freedom for libraries and users. in Proceedings of Pacific Rim Digital Library Alliance (PRDLA) Annual meeting and Conference: Libraries at the End of the World: Digital Content and Knowledge Creation, pp. 1–28.
Horton, J. J., & Chilton, L. B. (2010). The Labor Economics of Paid Crowdsourcing. in Proceedings of the 11th ACM conference on Electronic commerce ACM, pp. 209–218.
Howe, J. (2006). The rise of crowdsourcing. Wired Magazine, 14(6), 1–4.
Howe, J. (2008). Crowdsourcing. New York: Crown Publishing Group.
Hsueh, P.-Y., Melville, P., & Sindhwani, V. (2009). Data quality from crowdsourcing: A study of annotation selection criteria. in Proceedings of the NAACL HLT 2009Workshop on Active Learning for Natural Language Processing, pp. 27–35.
Huberman, B. A., Romero, D., & Wu, F. (2009). Crowdsourcing, attention and productivity. Journal of Information Science, 35(6), 758–765.
Hudson-Smith, A., Batty, M., Crooks, A., & Milton, R. 2009. Mapping for the Masses: Accessing Web 2.0 through Crowdsourcing. Social Science Computer Review, pp. 1066–1084.
Ipeirotis, P. G., Provost, F., & Wang, J. (2010). Quality Management on Amazon Mechanical Turk. In KDD-HCOMP’10, July 2010, Washington DC, USA.
Jain, R. (2010). Investigation of Governance Mechanisms for Crowdsourcing Initiatives. in Proceedings of Americas Conference on Information Systems, pp. 557–563.
Johnson, J. (2007). Social networks and the wisdom of crowds. Network World, 24, 28–29.
Kazman, R., & Chen, H. (2009). The metropolis model a new logic for development of crowdsourced systems. Communications of the ACM, 52(7), 76–84.
Ke, W., & Zhang, P. (2009). Motivations in open source software communities: the mediating role of effort intensity and goal commitment. International Journal of Electronic Commerce, 13(4), 39–66.
Ke, W., & Zhang, P. (2010). The effects of extrinsic motivations and satisfaction in open source software development. Journal of the Association for Information Systems, 11(12), 784–808.
Keen, A. (2007). The cult of the amateur: How today’s internet is killing our culture and assaulting our economy. London: Nicholas Brealey.
Kittur, A., Chi, E. H., & Suh, B. (2008). Crowdsourcing User Studies with Mechanical Turk. in Proceedings of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, pp. 453–456.
Kleeman, F., Voss, G. G., & Rieder, K. (2008). Un(der)paid innovators: the commercial utilization of consumer work through crowdsourcing. Science Technology & Innovation Studies, 4(1), 5–26.
Lakhani, K. R., & Wolf R. G. (2005). Why hackers do what they do: understanding motivation and effort in free/open source software projects. In J. Feller, B. Fitzgerald, S. Hissam, & K. R. Lakhani (Eds.). Perspectives on free and open source software. Cambridge, MA: MIT Press.
Lakhani, K. R., Jeppesen, L. B., Lohse, P. A., & Panetta, J. A. (2007). The value of openness in scientific problem solving. Harvard Business School Working Paper, (7: 50), Retrieved October 15, from http://www.hbs.edu/research/pdf/07–050.pdf
Lane, S. (2010). Collective intelligence for competitive advantage: Crowd sourcing and open innovation. Continuing Education, 1–80.
Lee, J.-N., & Kim, Y.-G. (1999). Effect of partnership quality on is outsourcing success: conceptual framework and empirical validation. Journal of Management Information Systems, 15(4), 29–61.
Leimeister, J. M. (2010). Collective Intelligence. Business & Information Systems Engineering, April, pp. 245–248.
Leimeister, J. M., Huber, M., Bretschneider, U., & Krcmar, H. (2009). Leveraging crowdsourcing -activation-supporting components for IT-based idea competitions. Journal of Management Information Systems, 26(1), 197–224.
Lévy, P. (1995). Collective intelligence: Mankind’s emerging world in cyberspace (R. Bononno, Trans.). New York: Plenum.
Maiolini, R., & Naggi, R. (2010). Crowdsourcing and SMEs: Opportunities and challenges. in Proceedings of ITAIS, 2010.
Malone, T. W., Laubacher, R., & Dellarocas, C. (2010). Harnessing crowds: Mapping the genome of collective intelligence. MIT Sloan School Working Paper, no.4732-09.
Marcus, A., Wu, E., & Madden, S. (2011). Crowdsourcing Databases: Query Processing with People. In Proceedings of CRDR 2011.
Mason, W., & Watts, D. J. (2010). Financial Incentives and the performance of crowds. SIGKDD Explorations Newsletter, 11(2), 100. ACM.
Mazzola, D., & Distefano, A. (2010). Crowdsourcing and the participation process for problem solving: The Case of BP. in Proceedings of ItAIS 2010 VII Conference of the Italian Chapter of AIS, pp. 42–49.
Meier, P. (2010). How to run a successful crowdsourcing project. Retrieved December 22, from http://irevolution.net/2010/05/05/towards-a-model-for-successful-crowdsourcing/
Munro, R., Steven B., Victor K., Robin M., Christopher P., Tyler S., et al. (2010). Crowdsourcing and language studies: The new generation of linguistic data. in Proceedings of the NAACL HLT 2010 workshop on creating speech and language data with Mechanical Turk, pp. 122–130.
Nov, O., Arazy, O., & Anderson, D. (2011). Technology-mediated citizen science participation: a motivational model. Proceedings of the AAAI International Conference on Weblogs and Social Media (ICWSM 2011), Barcelona, Spain.
Orlikowski, W. J., & Iacono, C. S. (2001). Desperately seeking the ‘IT’ in IS research - a call to theorizing the IT artifact. Information Systems Research, 12(2), 121–134.
Pettigrew, K. E., & McKechnie, L. M. (2001). The use of theory in information science research. Journal of the American Society for Information Science & Technology, 52(1), 62–73.
Poetz, M. K., & Schreier, M. (2009). The value of crowdsourcing: can users really compete with professionals in generating new product ideas? Proceedings of the DRUID Summer Conference, 2009, 110–128.
Raddick, M., et al. (2010). Galaxy zoo: exploring the motivations of citizen science volunteers. Astronomy Education Review, 9(1).
Reeve, J. (2005). Understanding motivation and emotion. New York: John Wiley & Sons.
Riedl, C., Blohm, I., Leimeister, J. M., & Krcmar, H. (2010). Rating scales for collective intelligence in innovation communities: Why quick and easy decision making does not get it right. In Proceedings of 2010 International Conference on Information Systems, St. Louis, Mi, USA: AIS.
Roberts, J. A., Hann, I. H., & Slaughter, S. A. (2006). Understanding the motivations, participation, and performance of open source software developers: a longitudinal study of the apache projects. Management Science, 52(7), 984–999.
Roman, D. (2009). Crowdsourcing and the question of expertise. Communications of the ACM, 52(12), 12.
Rouse, A. (2010). A preliminary taxonomy of crowdsourcing. ACIS 2010 Proceedings, Paper 76.http://aisel.aisnet.org/acis2010/76.
Schenk, E., & Guittard, C. (2009). Crowdsourcing: What can be outsourced to the crowd, and why? Paper provided by HAL in its series of working papers with numbers halshs-00439256_v1
Shah, N., Dhanesha, A., & Seetharam, D. (2009). Crowdsourcing for e-governance: Case study. in Proceedings of the 3rd International Conference on Theory and Practice of Electronic Governance (New York, NY, USA, 2009), ACM, pp. 253–258.
Sharma, A. (2010). Crowdsourcing critical success factor model: Strategies to harness the collective intelligence of the crowd. Retrieved January 27, from http://irevolution.files.wordpress.com/2010/05/working-paper1.pdf
Sims, J., & Crossland, C. (2010). “Partners or Pariahs? Firm engagement with open innovation communities. in: Academy of Management Conference. Montreal, Ca.
Stewart, O., Huerta, J. M., & Sader, M. (2009). Designing crowdsourcing community for the enterprise. in Proceedings of the ACM SIGKDD Workshop on Human Computation, pp. 50–53.
Stewart, O., Lubensky, D., & Huerta, J. M. (2010). Crowdsourcing participation inequality: A SCOUT model for the enterprise domain. in Proceedings of the ACM SIGKDD Workshop on Human Computation, pp. 30–33.
Stolee, K. T., & Elbaum, S. (2010). Exploring the use of crowdsourcing to support empirical studies in software engineering. in Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement ACM, pp. 35–38.
Strauss, A. (1987). Qualitative research for social scientists. Cambridge: Cambridge University Press.
Surowiecki, J. (2004). The wisdom of crowds: Why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations. New York.
Tapscott, D., & Williams, A. D. (2007). Wikinomics: How mass collaboration changes everything. London, UK: Portfolio, Penguin.
Trompette, P. (2008). Crowdsourcing as a way to access external knowledge for innovation: Control, incentive and coordination in hybrid forms of innovation. in Proceedings of 24th EGOS Colloquium, pp. 1–29.
von Hippel, E. (2005). Democratizing innovation. Cambridge, Mass: MIT Press.
Vukovic, M. (2009). Crowdsourcing for enterprises. in Proceedings of Congress on Services, pp. 686–692.
Vukovic, M., Kumara, S., & Greenshpan, O. (2010). Ubiquitous crowdsourcing. in Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing ACM, pp. 523–525.
Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS Quarterly, 26(2), 13–23.
Whitla, P. (2009). Crowdsourcing and its application in marketing activities. Contemporary Management Research, 5(1), 15–28.
Wiggins, A., & Crowston, K. (2011). From conservation to crowdsourcing: A typology of citizen science. in Proceedings of the Forty-fourth Hawai'i International Conference on System Science (HICSS-44).
Wilcox, R. T. (2000). Experts and amateurs: the role of experience in internet auctions. Marketing Letters, 11, 363–374.
Yang, J., Adamic, L. A., & Ackerman, M. S. (2008). Crowdsourcing and knowledge Sharing: Strategic user behavior on taskcn. in Proceedings of ACM Electronic Commerce’08, pp. 246–255.
Zhang, P. (2008). Motivational affordances: Reasons for ICT design and USE. Communications of the ACM, 61(11), 145–147.
Zhang, P., & Benjamin, R. I. (2007). Understanding information related fields: a conceptual framework. Journal of the American Society for Information Science and Technology, 58(13), 1934–1947.
Zhang, P., & Li, N. (2005). The intellectual development of human–computer interaction research: a critical assessment of the MIS literature (1990–2002). Journal of Association for Information Systems, 6(11), 227–292.
Zhang, P., Scialdone, M., & Ku, M. (2011). IT artifacts and the state of IS research. forthcoming in the Proceedings of ICIS 2011, Shanghai, China, December.
Acknowledgments
This work is jointly supported by the National Social Science Foundation in China (Grand No.10ATQ004), and the Ministry of Education, Humanities and Social Sciences Council in China (Grand No. 09YJA870014). Firstly, the authors sincerely appreciate two anonymous reviewers’ thoughtful comments and suggestions. Secondly, the authors would like to thank Prof. Ping Zhang from Syracuse University for her insightful and constructive suggestions on this paper. Thirdly, the authors thank Xu Meng from Syracuse University for his contribution during the coding stage. Finally, the authors thank the editors and publishers for their support to this article.
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Zhao, Y., Zhu, Q. Evaluation on crowdsourcing research: Current status and future direction. Inf Syst Front 16, 417–434 (2014). https://doi.org/10.1007/s10796-012-9350-4
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DOI: https://doi.org/10.1007/s10796-012-9350-4