Skip to main content
SpringerLink
Log in
Book cover

Crowdsourcing pp 91–111Cite as

Supporting Multilevel Incentive Mechanisms in Crowdsourcing Systems: An Artifact-Centric View

  • Chapter
  • First Online:

Part of the book series: Progress in IS ((PROIS))

Abstract

Crowdsourcing systems of the future (e.g., Social Compute Units—SCUs, collective adaptive systems) need to support complex collaborative processes, such as software development. This presupposes deploying ad-hoc assembled teams of human and machine services that actively collaborate and communicate among each other, exchanging different artifacts and jointly processing them. Major challenges in such environments (e.g., team formation, adaptability, runtime management of data-flow and collaboration patterns) can be somewhat alleviated by delegating the responsibility and the know-how needed for these duties to the participating crowd members, while indirectly controlling and stimulating them through appropriate incentive mechanisms. Existing process-centric collaboration modeling approaches (e.g., workflows) are incapable of encoding such incentive mechanisms. Therefore, in this paper we analyze different interaction aspects that incentive mechanisms cover and formulate them as requirements for future systems to support. We then propose an artifact-centric approach for modeling incentives in rich crowdsourcing environments that meets these requirements.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    See [5] for an overview of task distribution and coordination models.

  2. 2.

    Adapted from [10].

  3. 3.

    Adapted from [18].

References

  1. Bhattacharya, K., Gerede, C., Hull, R., Liu, R., Su, J.: Business Process Management, pp. 288–304. Springer, Berlin (2007). doi:10.1007/978-3-540-75183-0_21

  2. Bloom, M., Milkovich, G.: The relationship between risk, incentive pay, and organizational performance. Acad. Manag. J. 41(3), 283–297 (1998)

    Article  Google Scholar 

  3. Cohn, D., Hull, R.: Business artifacts: A data-centric approach to modeling business operations and processes. IEEE Data Eng. Bull. 32(3), 3–9 (2009)

    Google Scholar 

  4. Damaggio, E., Hull, R., Vaculín, R.: On the equivalence of incremental and fixpoint semantics for business artifacts with Guard-Stage-Milestone lifecycles. Inf. Syst. 38(4), 561–584 (2013). doi:10.1016/j.is.2012.09.002

    Article  Google Scholar 

  5. Dustdar, S., Truong, H.L.: Virtualizing software and humans for elastic processes in multiple clouds—a service management perspective. Int. J. Next-Gener. Comput. 3(2), 109–126 (2012)

    Google Scholar 

  6. Fritz, C., Hull, R., Su, J.: Automatic construction of simple artifact-based business processes. In: International Conference on Database Theory (ICDT ’09), p. 225 (2009). doi:10.1145/1514894.1514922

  7. Gal, Y., Grosz, B., Kraus, S., Pfeffer, A., Shieber, S.: Agent decision-making in open mixed networks. Artif. Intell. 174(18), 1460–1480 (2010). doi:10.1016/j.artint.2010.09.002

    Article  Google Scholar 

  8. Gerede, C., Su, J.: Specification and verification of artifact behaviors in business process models. In: International Conference on Service-Oriented Computing (ICSOC 2007), pp. 181–192 (2007)

    Google Scholar 

  9. Hirth, M., Hossfeld, T., Tran-Gia, P.: Analyzing costs and accuracy of validation mechanisms for crowdsourcing platforms. Math. Comput. Model. (2012). doi:10.1016/j.mcm.2012.01.006

  10. Hull, R.: Artifact-centric business process models: brief survey of research results and challenges. In: On the Move to Meaningful Internet Systems (OTM), pp. 1152–1163 (2008)

    Google Scholar 

  11. Hull, R.: Towards flexible service interoperation using business artifacts. In:15th IEEE International Conference on Enterprise Distributed Object Computing (EDOC), pp. 20–21. (2011). doi:10.1109/EDOC.2011.27

  12. Kaganer, E., Carmel, E., Hirschheim, R., Olsen, T.: Managing the human cloud. MIT Sloan Manag. Rev. 54(2), 22–32 (2013)

    Google Scholar 

  13. Laffont, J.J., Martimort, D.: The Theory of Incentives. Princeton University Press, New Jersey (2002)

    Google Scholar 

  14. Liptchinsky, V., Khazankin, R.: A novel approach to modeling context-aware and social collaboration processes. In: 24th International Conference on Advanced Information Systems Engineering (CAiSE’12). Springer, Gdansk (2012). doi:10.1007/978-3-642-31095-9_37

  15. Little, G., Chilton, L.B., Goldman, M., Miller, R.C.: Exploring iterative and parallel human computation processes. In: Proceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP’10, pp. 68–76. ACM, New York(2010). doi:10.1145/1837885.1837907

  16. Liu, R., Bhattacharya, K., Wu, F.: Modeling business contexture and behavior using business artifacts. In: J. Krogstie, A. Opdahl, G. Sindre (eds.) Advanced Information Systems Engineering. Lecture Notes in Computer Science, vol. 4495, pp. 324–339. Springer, Heidelberg (2007). doi:10.1007/978-3-540-72988-4_23

  17. Mason, W., Watts, D.J.: Financial incentives and the performance of crowds. In: Proceedings of the ACM SIGKDD Workshop on Human Computation (HCOMP’09), vol. 11, pp. 77–85. ACM, Paris(2009). doi:10.1145/1600150.1600175

  18. Nandi, P., Kumaran, S.: Adaptive business objects—a new component model for business integration. In: Proceeding of the 7th International Conference on Enterprise Information Systems (ICEIS’07), pp. 179–188. Miami(2005)

    Google Scholar 

  19. Pesic, M., Schonenberg, H., van der Aalst, W.M.: DECLARE: full support for loosely-structured processes. In: 11th IEEE International Conference on Enterprise Distributed Object Computing (EDOC’07), pp. 287–287. IEEE (2007). doi:10.1109/EDOC.2007.14

  20. Prendergast, C.: The provision of incentives in firms. J. Econ. Lit. 37(1), 7–63 (1999). http://www.jstor.org/stable/2564725

  21. Ramchurn, S., Huynh, T., Venanzi, M., Shi, B.: Collabmap: crowdsourcing maps for emergency planning. In: Proceedings of the ACM Web Science, Paris, France (2013). http://eprints.soton.ac.uk/350677/

  22. Sato, K., Hashimoto, R., Yoshino, M., Shinkuma, R., Takahashi, T.: Incentive mechanism considering variety of user cost in P2P content sharing. In: Global Telecommunications Conference (IEEE GLOBECOM ’08), pp. 1–5. IEEE (2008). doi:10.1109/GLOCOM.2008.ECP.426

  23. Scekic, O., Truong, H.L., Dustdar, S.: Incentives and rewarding in social computing. Commun. ACM 56(6), 72 (2013). doi:10.1145/2461256.2461275

    Article  Google Scholar 

  24. Schall, D., Dustdar, S., Blake, M.B.: Programming human and software-based web services. Computer 43(7), 82–85 (2010). doi:10.1109/MC.2010.205

    Article  Google Scholar 

  25. Schall, D., Skopik, F., Psaier, H., Dustdar, S.: Bridging socially-enhanced virtual communities. In: Proceedings of the ACM SAC 2011 (2011)

    Google Scholar 

  26. Teyton, C., Falleri, J.R., Blanc, X.: Mining library migration graphs. In: 19th Conference on Reverse Engineering, pp. 289–298. IEEE (2012). doi:10.1109/WCRE.2012.38

  27. Tokarchuk, O., Cuel, R., Zamarian, M.: Analyzing crowd labor and designing incentives for humans in the loop. IEEE Internet Computing, pp. 45–51. (2012). doi:10.1109/MIC.2012.66

  28. Vaculin, R., Heath, T., Hull, R.: Data-centric web services based on business artifacts. In:19th International Conference on Web Services (ICWS’12) (1), 42–49 (2012). doi:10.1109/ICWS.2012.101

  29. Vaculin, R., Hull, R., Heath, T., Cochran, C., Nigam, A., Sukaviriya, P.: Declarative business artifact centric modeling of decision and knowledge intensive business processes. In: 15th International Conference on Enterprise Distributed Object Computing (EDOC’11), pp. 151–160. IEEE (2011). doi:10.1109/EDOC.2011.36

  30. Wang, J., Kumar, A.: A framework for document-driven workflow systems. In: W.M. van der Aalst, B. Benatallah, F. Casati, F. Curbera (eds.) Proceedings of International Conference on Business Process Management (BPM’05). Lecture Notes in Computer Science, vol. 3649, pp. 285–301. Springer (2005). doi:10.1007/11538394_19

  31. Yogo, K., Shinkuma, R., Takahashi, T., Konishi, T., Itaya, S., Doi, S., Yamada, K.: Differentiated Incentive Rewarding for Social Networking Services pp. 169–172 (2010). doi:10.1109/SAINT.2010.65

Download references

Author information

Authors and Affiliations

  1. Distributed Systems Group, Vienna University of Technology, Vienna, Austria

    Ognjen Scekic, Hong-Linh Truong & Schahram Dustdar

Authors
  1. Ognjen Scekic
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hong-Linh Truong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Schahram Dustdar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ognjen Scekic .

Editor information

Editors and Affiliations

  1. State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China

    Wei Li

  2. Dept. of Computer Science & Engineering, University of South Carolina, Columbia, South Carolina, USA

    Michael N. Huhns

  3. School of Computing, Informatics & Decision Systems Engineering, Arizona State University Dept. Computer Science & Engineering, Tempe, Arizona, USA

    Wei-Tek Tsai

  4. School of Computer Science & Engineering, Beihang University, Beijing, China

    Wenjun Wu

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Scekic, O., Truong, HL., Dustdar, S. (2015). Supporting Multilevel Incentive Mechanisms in Crowdsourcing Systems: An Artifact-Centric View. In: Li, W., Huhns, M., Tsai, WT., Wu, W. (eds) Crowdsourcing. Progress in IS. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47011-4_6

Download citation

Publish with us

Policies and ethics

Search

Navigation