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Metrics for Cooperative Systems

Published:09 November 2014Publication History

ABSTRACT

This paper proposes performance indicators and metrics for the analysis of shared workspaces. We investigate user activity in various electronic workspaces of a shared workspace system and compare these on the basis of the proposed metrics: activity, productivity and cooperativity. Based on these results we further investigate the intensity of cooperation on shared documents. The investigations show that the proposed metrics permit an identification of the current cooperation status of a workspace as well as a classification of workspaces and benchmarking of the cooperation maturity.

References

  1. Appelt, W. 2001. What groupware functionality do users really use? Analysis of the usage of the BSCW system. Ninth Euromicro Workshop on Parallel and Distributed Processing (2001), 337--341.Google ScholarGoogle ScholarCross RefCross Ref
  2. Appelt, W. and Busbach, U. 1996. The BSCW system: a WWW-based application to support cooperation of distributed groups. Enabling Technologies: Infrastructure for Collaborative Enterprises, 1996. Proceedings of the 5th Workshop on (1996), 304--309. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Arnold, B.C. 1983. Pareto distributions. International Co-operative Publishing House.Google ScholarGoogle Scholar
  4. Brynjolfsson, E. 1993. The productivity paradox of information technology. Communications of the ACM. 36, 12 (1993), 66--77. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Carr, N.G. 2003. IT doesn't matter. Educause Review. 38, (2003), 24--38.Google ScholarGoogle Scholar
  6. Dix, A. 1994. Computer Supported Cooperative Work - A Framework. Design issues in CSCW. Springer-Verlag.Google ScholarGoogle Scholar
  7. Drucker, P.F. 1999. Knowledge-worker productivity: The Biggest Challenge. California management review. 41, 2 (1999), 79--94.Google ScholarGoogle Scholar
  8. Duarte, D.L. 2006. Mastering virtual teams: strategies, tools, and techniques that succeed. Jossey-Bass. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Jeners, N., Lobunets, O. and Prinz, W. 2013. What Groupware Functionality Do Users Really Use? (A study of collaboration within digital ecosystems). 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) (2013), 49--54.Google ScholarGoogle Scholar
  10. Jeners, N., Nicolaescu, P. and Prinz, W. 2012. Analyzing Tie-Strength across Different Media. On the Move to Meaningful Internet Systems: OTM 2012 Workshops (2012), 554--563.Google ScholarGoogle Scholar
  11. Jeners, N., Prinz, W. and Franken, S. 2013. A Meta-Model for Cooperation Systems. PRO-VE (Berlin, Heidelberg, 2013).Google ScholarGoogle Scholar
  12. Koch, M. and Richter, A. 2009. Enterprise 2.0 Planung, Einführung und erfolgreicher Einsatz von Social-Software in Unternehmen. Oldenbourg.Google ScholarGoogle Scholar
  13. Muller, M. 2012. Lurking as personal trait or situational disposition. Computer Supported Cooperative Work (2012), 253. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Muller, M., Ehrlich, K., Matthews, T., Perer, A., Ronen, I. and Guy, I. 2012. Diversity Among Enterprise Online Communities: Collaborating, Teaming, and Innovating Through Social Media. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (New York, NY, USA, 2012), 2815--2824. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Muller, M., Shami, N.S., Millen, D.R. and Feinberg, J. 2010. We are all lurkers: consuming behaviors among authors and readers in an enterprise file-sharing service. Computer Supported Cooperative Work 2010 Workshop on Collective Intelligence (2010), 201. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Nasirifard, P., Peristeras, V., Hayes, C. and Decker, S. 2009. Extracting and utilizing social networks from log files of shared workspaces. Leveraging Knowledge for Innovation in Collaborative Networks. Springer. 643--650.Google ScholarGoogle Scholar
  17. Newman, M. 2005. Power laws, Pareto distributions and Zipf's law. Contemporary Physics. 46, 5 (Sep. 2005), 323--351.Google ScholarGoogle ScholarCross RefCross Ref
  18. O'Brien, G. 1968. The measurement of cooperation. Organizational Behavior and Human Performance. 3, 4 (1968), 427--439.Google ScholarGoogle ScholarCross RefCross Ref
  19. Preißler, P.R. 2008. Betriebswirtschaftliche Kennzahlen: Formeln, Aussagekraft, Sollwerte, Ermittlungsintervalle. Oldenbourg Verlag.Google ScholarGoogle ScholarCross RefCross Ref
  20. Prinz, W., Loh, H., Pallot, M., Schaffers, H., Skarmeta, A. and Decker, S. 2006. ECOSPACE - Towards an Integrated Collaboration Space for eProfessionals. Collaborative Computing: Networking, Applications and Worksharing (Atlanta, Nov. 2006), 1--7.Google ScholarGoogle Scholar
  21. Reinhardt, W., Schmidt, B., Sloep, P. and Drachsler, H. 2011. Knowledge Worker Roles and Actions-Results of Two Empirical Studies. Knowledge and Process Management. 18, 3 (Jul. 2011), 150--174.Google ScholarGoogle ScholarCross RefCross Ref
  22. Snell, J., Atkins, M., Norris, W., Messina, C., Wilkinson, M. and Dolin, R. 2011. JSON Activity Streams 1.0.Google ScholarGoogle Scholar
  23. Wasserman, S. and Faust, K. 1994. Social network analysis: methods and applications. Cambridge University Press.Google ScholarGoogle Scholar

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            cover image ACM Conferences
            GROUP '14: Proceedings of the 2014 ACM International Conference on Supporting Group Work
            November 2014
            340 pages
            ISBN:9781450330435
            DOI:10.1145/2660398

            Copyright © 2014 ACM

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            Publication History

            • Published: 9 November 2014

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            GROUP '14 Paper Acceptance Rate27of90submissions,30%Overall Acceptance Rate125of405submissions,31%

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