Abstract
Over the past few years the crowdsourcing paradigm has evolved from its humble beginnings as isolated purpose-built initiatives, such as Wikipedia and Elance and Mechanical Turk to a growth industry employing over 2 million knowledge workers, contributing over half a billion dollars to the digital economy. Web 2.0 provides the technological foundations upon which the crowdsourcing paradigm evolves and operates, enabling networked experts to work collaboratively to complete a specific task. Enterprise crowdsourcing poses interesting challenges for both academic and industrial research along the social, legal, and technological dimensions.
In this paper we describe the challenges that researchers and practitioners face when thinking about various aspects of enterprise crowdsourcing. First, to establish technological foundations, what are the interaction models and protocols between the Enterprise and the crowd. Secondly, how is crowdsourcing going to face the challenges in quality assurance, enabling Enterprises to optimally leverage the scalable workforce. Thirdly, what are the novel (Web) applications enabled by Enterprise crowdsourcing.
This is a preview of subscription content, log in via an institution to check access.
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
Vukovic, M., Bartolini, C.: First International Enterprise Crowdsourcing Workshop. In: Daniel, F., Facca, F.M. (eds.) Current Trends in Web Engineering – ICWE 2010 Workshop Proceedings (2010) (in publication)
Vukovic, M.: Crowdsourcing for Enterprises. In: International Workshop on Cloud Services, In Conjunction with 7th IEEE International Conference on Web Services (July 2009)
Karnin, E., Walach, E., Drory, T.: Crowdsourcing in the Document Processing Practice. In: Proceedings of First Enterprise Crowdsourcing Workshop in conjunction with ICWE 2010 (2010)
Lopez, M., Vukovic, M., Laredo, J.: PeopleCloud Service for Enterprise Crowdsourcing. In: International Conference on Services Computing, Miami, Florida (July 2010)
Vukovic, M., Lopez, M., Laredo, J.: People cloud for globally integrated enterprise. In: First International Workshop on SOA, Globalization, People, & Work, in conjuction with Seventh International Conference on Service Oriented Computing (2009)
Stewart, O., Lubensky, D., Huerta, J.M.: Crowdsourcing participation inequality: a SCOUT model for the enterprise domain. In: Proceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP 2010, Washington DC, July 25, pp. 30–33. ACM, New York (2010)
La Vecchia, G., Cisternino, A.: Collaborative workforce, business process crowdsourcing as an alternative of BPO. In: Proceedings of First Enterprise Crowdsourcing Workshop in conjunction with ICWE 2010 (2010)
Chen, K.Y., Fine, L., Huberman, B.: Predicting the Future. Information Systems Frontiers 5(1), 47–61 (2005)
Surowiecki, J.: The Wisdom of Crowds. Anchor (2005)
Archak, N., Sundararajan, A.: Optimal Design of Crowdsourcing Contest. In: Proceedings Thirtieth International Conference on Information Systems (ICIS 2009), Phoenix (2009)
Carpenter, H.: – Four Models for Competitive Crowdsourcing, Technical Report (2009), spigit.com
Kern, R., Thies, H., Bauer, C., Satzger, G.: Quality Assurance for Human-based Electronic Services: A Decision Matrix for Choosing the Right Approach. In: Proceedings of First Enterprise Crowdsourcing Workshop in conjunction with ICWE 2010 (2010)
von Law, A.: Input-Agreement: A new Mechanism for Collecting Data Using Human Computation Games. In: Proceedings ACM Conference on Human Factors in Computing Systems, CHI 2009, pp. 1197–1206 (2009)
Sorokin, A., Forsyth, D.: Utility data annotation with Amazon Mechanical Turk. In: Proceedings of the Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society, Washington (2008)
Snow, R., O’Connor, B., Jurafsky, D., Ng, A.Y.: Cheap and fast, but is it good? Evaluating non-expert annotations for natural language tasks. In: EMNLP 2008: Proceedings of the Conference on Empirical Methods in Natural Language Processing. ACL, Stroudsburg (2008)
Sheng, V., Provost, F., Ipeirotis, P.: Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers. In: Proceedings of the Fourteenth International Conference on Knowledge Discovery and Data Mining (KDD) (2008)
Kittur, A., Kraut, R.E.: Harnessing the wisdom of crowds in Wikipedia: quality through coordination. In: Shen, W., Yong, J., Yang, Y., Barthès, J.-P.A., Luo, J. (eds.) CSCWD 2007. LNCS, vol. 5236. Springer, Heidelberg (2008)
Chen, K., Chang, C., Wu, C., Chang, Y., Lei, C.: Quadrant of euphoria: a crowdsourcing platform for QoE assessment. Network Magazine of Global Internetworking (2010)
Lakhani, K., Garbin, D., Lonstein, E.: TopCoder (A): Developing Software through Crowdsourcing. Harvard Business School Case 610-032
Jeppesen, L., Lakhani, K.: Marginality and problem solving effectiveness in broadcast search. Organization Science 20 (forthcoming)
Oliviera, F., Ramos, I., Santos, L.: Definition of a Crowdsourcing Innovation service for the European SMEs. In: Proceedings of First Enterprise Crowdsourcing Workshop in conjunction with ICWE 2010 (2010)
Brabham, D.: 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)
Lakhani, K., Boudreau, K.: How to Manage Outside Innovation. MIT Sloan Management Review 50(4)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vukovic, M., Bartolini, C. (2010). Towards a Research Agenda for Enterprise Crowdsourcing. In: Margaria, T., Steffen, B. (eds) Leveraging Applications of Formal Methods, Verification, and Validation. ISoLA 2010. Lecture Notes in Computer Science, vol 6415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16558-0_36
Download citation
DOI: https://doi.org/10.1007/978-3-642-16558-0_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16557-3
Online ISBN: 978-3-642-16558-0
eBook Packages: Computer ScienceComputer Science (R0)