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Volunteer computing: a model of the factors determining contribution to community-based scientific research

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Published:26 April 2010Publication History

ABSTRACT

Volunteer computing is a powerful way to harness distributed resources to perform large-scale tasks, similarly to other types of community-based initiatives. Volunteer computing is based on two pillars: the first is computational - allocating and managing large computing tasks; the second is participative - making large numbers of individuals volunteer their computer resources to a project. While the computational aspects of volunteer computing received much research attention, the participative aspect remains largely unexplored. In this study we aim to address this gap: by drawing on social psychology and online communities research, we develop and test a three-dimensional model of the factors determining volunteer computing users' contribution. We investigate one of the largest volunteer computing projects - SETI@home - by linking survey data about contributors' motivations to their activity logs. Our findings highlight the differences between volunteer computing and other forms of community-based projects, and reveal the intricate relationship between individual motivations, social affiliation, tenure in the project, and resource contribution. Implications for research and practice are discussed.

References

  1. Adamic, L. A. Zhang, J. Bakshy, E. and Ackerman, M. S. Knowledge sharing and yahoo answers: everyone knows something. Proceeding of the 17th international conference on World Wide Web, 2008, 665--674. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Anderson, D., Cobb, J., Korpela, E., Lebofsky, M.,Werthimer, D. SETI@home: An Experiment in Public-Resource Computing. Communications of the ACM, (November 2002), 56--61. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Anderson, D. Volunteer computing: Planting the flag, in: Proceedings of the PCGrid 2007 Workshop, Long Beach, CA, USA, March 2007Google ScholarGoogle Scholar
  4. Anderson D. and Fedak. G. The computational and storage potential of volunteer computing. CCGRID'06, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Anderson, D. BOINC: A System for Public-Resource Computing and Storage. 5th IEEE/ACM Workshop on Grid Computing, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Beenen, G. Ling, K. Wang, X., Chang, K., Frankowski, D., Resnick, P. and Kraut, R. Using social psychology to motivate contributions to online communities. Proceedings of the 2004 ACM conference on Computer supported cooperative work, 212--221, New York, NY, USA, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Benkler. Y. Sharing Nicely: On Shareable Goods and The Emergence of Sharing as a Modality of Economic Production. The Yale Law Journal, 114, 2004, 273--358,.Google ScholarGoogle ScholarCross RefCross Ref
  8. Boinc 2009. Contribution to BOINC: internal report.Google ScholarGoogle Scholar
  9. Brandtzaeg, P.B. and Heim, J. User Loyalty and Online Communities: Why Members of Online Communities are not faithful. 2nd International Conference on intelligent technologies for interactive entertainment, ACM press, Playa del Carmen, Cancun, Mexico. January, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Bryant, S., Forte, A., & Bruckman, A. Becoming Wikipedian: Transformation of participation in a collaborative online encyclopedia. In: Proc. of the 2005 International ACM SIGGROUP Conference on Supporting Group Work, 2005. Sanibel Island, Florida. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. 1Butler. B. Membership size, communication activity, and sustainability. Information Systems Research, 12(4), 2001, 346--362. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Cheshire, C. and Antin, J. The Social Psychological Effects of Feedback on the Production of Internet Information Pools. J. of Computer-Mediated Communication 13(3): 2008, 705--727.Google ScholarGoogle ScholarCross RefCross Ref
  13. Chiu, C.-M., Hsu, M.-H., and Wang, E.T.G. Understanding Knowledge Sharing in Virtual Communities: An Integration of Social Capital and Social Cognitive Theories. Decision Support Systems (42:3), 2006, 1872--1888. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Choi. C. Q. Processing for Science. Scientific American, 292, 5, p.30, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  15. Clary, E., Snyder, M., Ridge, R., Copeland, J., Stukas, A., Haugen, J., and Miene, P. Understanding and assessing the motivations of volunteers: A functional approach. Journal of Personality and Social Psychology, 74, 1998, 1516--1530.Google ScholarGoogle ScholarCross RefCross Ref
  16. Deci, E. & Ryan, R. Intrinsic motivation and self-determination in human behavior. 1985.Google ScholarGoogle Scholar
  17. Fornell, C., & Larcker, D. Structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18,1 (1981), 39--50.Google ScholarGoogle ScholarCross RefCross Ref
  18. Goode, S. Something for Nothing: Management Rejection of Open Source Software in Australia's Top Firms. Information & Management 42:5 (2005), 669--681. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Goodman, D. Introduction and Evaluation of Martlet, a Scientific Workflow Language for Abstracted Parallelisation. Proceedings of the 16th International World Wide Web Conference, 2007. New York, NY, ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Halvey, M. and Keane, M. Exploring social dynamics in online media sharing. Proceedings of the 16th international conference on World Wide Web, 1273--1274, New York, NY, USA, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. 2Hertel, G. Niedner, S. and Herrmann, S. Motivation of Software Developers in Open Source Projects. Research Policy, 2003, 32:1159--1177.Google ScholarGoogle Scholar
  22. 2Holohan, A. and Garg, A. Collaboration online: The example of Distributed Computing. Journal of Computer-Mediated Communication, 10(4), article 16, 2005.Google ScholarGoogle Scholar
  23. Huberman, B. A., Romero, D. M. and Wu, F. Crowdsourcing, Attention and Productivity.Google ScholarGoogle Scholar
  24. Jeppesen L. and Frederiksen, L. Why do users contribute to firm-hosted user communities? Organization Science 17, 1, 2006, 45--63. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Joyce, E., and Kraut, R. E. Predicting continued participation in newsgroups. Journal of Computer-Mediated Communication, 11(3), 2006, 723--747.Google ScholarGoogle ScholarCross RefCross Ref
  26. Kiviniemi, M. T., Snyder, M., & Omoto, A. M. Too many of a good thing? The effects of multiple motivations on stress, cost, fulfillment and satisfaction. Personality & Social Psychology Bulletin, 28, 2002, 732--743.Google ScholarGoogle ScholarCross RefCross Ref
  27. Kittur, A., and Kraut, R. Harnessing the wisdom of crowds in Wikipedia: Quality through coordination. In Proceedings of the ACM Conference On Computer Supported Cooperative Work, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Kittur, A., and Kraut, R. Coordination in Collective Intelligence: The Role of Team Structure and Task Interdependence. Proc. of the ACM Conference on Human Factors in Computing Systems, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Koh, J., Kim, J., Butler, B., Bock. G. Encouraging participation in virtual communities. Communications of the ACM 50,2, 2007, 68--73. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Kondo, D. Anderson, D and McLeod, J. Performance Evaluation of Scheduling Policies for Volunteer Computing. International Conference on e-Science. 2007, 415--422. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. 3Lakhani, K., and Wolf, R. Why hackers do what they do. In Perspectives in free and open source software. J. Feller, B. Fitzgerald, S. Hissam, and K. Lakhani (Eds.), MIT Press, 2005.Google ScholarGoogle Scholar
  32. 3Lakhani, K., and von Hippel, E. How open source software works: Free user-to-user assistance. Research Policy 32,6, (2003), 923--943.Google ScholarGoogle ScholarCross RefCross Ref
  33. 3Lee, K.What goes around comes around: an analysis of del.icio.us as social space. In CSCW 06: Proceedings of the ACM conference on Computer supported cooperative work, New York, NY, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Lerner, J., Tirole, J., 2002. Some simple economics of open source. Journal of Industrial Economics 50 (2), 197--234.Google ScholarGoogle Scholar
  35. Luther, K., Counts, S. Stecher, K., Hoff, A. Johns, P. Pathfinder: an online collaboration environment for citizen scientists. Proc. of the 27th conference on Human factors in computing systems, 2009 Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Ma, M. and Agarwal, R. Through a Glass Darkly: Information Technology Design, Identity Verification, and Knowledge Contribution in Online Communities. Information Systems Research 18,1, (2007) 42--67. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. 3Nov, O. What Motivates Wikipedians. Communications of the ACM 50,11, (2007), 60--64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. 3Nov, O., Naaman, M. and Ye, C. What Drives Content Tagging: The Case of Photos on Flickr. Proceedings of the ACM Conference on Human Factors in Computing Systems, Florence, Italy, April 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. 3Nov, O., Naaman, M., and Ye, C. Motivational, Structural and Tenure Factors that Impact Online Community Photo Sharing. Proceedings of AAAI Conference on Weblogs and Social Media (ICWSM 2009). San Jose, CA, May 2009.Google ScholarGoogle Scholar
  40. 40.Nov, O. Naaman, M. and Ye, C. Analysis of Participation in an Online Photo Sharing Community: A Multi-Dimension Perspective. Journal of the American Society for Information Science and Technology, 61,3 (2010) 555--566. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. 4Parameswaran, M., Whinston, A.B. Social Computing: An Overview. Communications of the Association for Information Systems 19,37, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  42. 4Peddibhotla, P. and Subramani, M. Contributing to Public Document Repositories: A Critical Mass Theory Perspective. Organization Studies, 28, 3, 2007, 327--346.Google ScholarGoogle Scholar
  43. 4Rashid, A., Ling, K., Kraut, R., & Riedl, J. Motivating participations by displaying the value of contribution. Proc. of the ACM Conference on Human-Factors in Computing Systems, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. 4Ryan, R. M., & Deci, E. L. Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25 (2000) 54--67.Google ScholarGoogle ScholarCross RefCross Ref
  45. 4Roberts, J., Hann, I. and Slaughter, S. Understanding the motivations, participation, and performance of open source software developers: A Longitudinal Study of the Apache Projects. Management Science 52 (7), 2006, 984--999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. 4Sarmenta, L.F.G. Volunteer Computing, Ph.D. thesis. Dept. of Electrical Engineering and Computer Science, MIT, Cambridge, MA, December, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. 4Schroer, J. and Hertel, G. (2009). Voluntary engagement in an open web-based encyclopedia: Wikipedians, and why they do it. Media Psychology, 12, 1--25.Google ScholarGoogle Scholar
  48. 4Shadbolt, N. and Berners-Lee, T. Web science emerges. Scientific American, 299(4):60--65, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  49. 4Simon B, Sturmer S, Steffens K.. Helping individuals or group members? Pers. Social Psychology Bulletin 26, 2000, 497--506.Google ScholarGoogle ScholarCross RefCross Ref
  50. Snyder, M. and Omoto, A. Doing good for self and society: Volunteerism and the psychology of citizen Participation. In: Cooperation in modern society: Promoting the welfare of communities, states, and organizations. M. van Vugt, M. Snyder, T. R. Tyler, A. Biel (eds.), 2000, 127--141.Google ScholarGoogle Scholar
  51. 5Stewart, K. and S. Gosain The impact of ideology on effectiveness in open source software development teams. MIS Quarterly 30, 2 (2006) 291--314. Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. 5Straub, D.W., Boudreau, M.-C., Gefen, D. Validation Guidelines for IS Positivist Research. Communications of AIS 13, (2004), 380--427.Google ScholarGoogle Scholar
  53. 5Torvalds L. and Diamond, D. Just for Fun: The Story of an Accidental Revolutionary, Harper Business, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. 5Venkatesh, V. Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research 11,4, (2000), 342--365. Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. 5von Hippel, E., & von Krogh, G. Open source software and the private-collective innovation model. Organization Science, 14, 2 (2003), 208--223. Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. 5Wasko, M. and Faraj, S. Why Should I Share? Examining Knowledge Contribution in Electronic Networks of Practice. MIS Quarterly 29,1, (2005), 1--23. Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. 5Wu, C., Gerlach. J., and Young, C. An empirical analysis of open source software developers' motivations and continuance intentions. Information & Management (44:3), 2007, 253--262. Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. 5Zeityln, D. Gift Economies in the Development of Open Source Software: Research Policy 32, 2003, 1287--1291.Google ScholarGoogle ScholarCross RefCross Ref
  59. 5Zhao D. and Rosson, M.B. How and why people Twitter: Proceedings of the ACM International Conference on Supporting Group Work, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Preece J. and Shneiderman, B. The reader to leader framework: Motivating technology-Mediated social participation. AIS Trans. on Human-Computer Interaction, 1,1 (2009), 13--32.Google ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Other conferences
      WWW '10: Proceedings of the 19th international conference on World wide web
      April 2010
      1407 pages
      ISBN:9781605587998
      DOI:10.1145/1772690

      Copyright © 2010 International World Wide Web Conference Committee (IW3C2)

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 26 April 2010

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