A Socio-technical Approach towards Supporting Intra-organizational Collaboration

  • Mario Aehnelt
  • Mirko Ebert
  • Günter Beham
  • Stefanie Lindstaedt
  • Alexander Paschen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5192)

Abstract

Knowledge work in companies is increasingly carried out by teams of knowledge workers. They interact within and between teams with the common goal to acquire, apply, create and share knowledge. In this paper we propose a socio-technical model to support intra-organizational collaboration which specifically takes into account the social and collaborative nature of knowledge work. Our aim is to support in particular the efficiency of collaborative knowledge work processes through an automated recommendation of collaboration partners and collaboration media. We report on the theoretical as well as practical aspects of such a socio-technical model.

Keywords

collaboration media selection knowledge work recommender system 

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References

  1. 1.
    Fahey, R., Vasconcelos, A.C., Ellis, D.: The Impact of Rewards Within Communities of Practice: A Study of The SAP Online Global Community. Knowledge Management Research and Practice 5, 186–198 (2007)CrossRefGoogle Scholar
  2. 2.
    Nonaka, I.: Dynamic Theory of Organizational Knowledge Creation. Organization Science 5(1), 14–37 (1994)Google Scholar
  3. 3.
    Ley, T., Kump, B., Ulbrich, A., Scheir, P., Lindstaedt, S.N.: A Competence-Based Approach for Formalizing Learning Goals in Work-Integrated Learning. In: Proceedings of the ED-MEDIA 2008–World Conference on Educational Multimedia, Hypermedia & Telecommunications, Vienna (2008)Google Scholar
  4. 4.
    Montaner, M., López, B., De la Rosa, J.L.: A Taxonomy of Recommender Agents on the Internet. Artificial Intelligence Review 19(4), 285–330 (2003)CrossRefGoogle Scholar
  5. 5.
    Weber, G., Brusilovsky, P.: ELM-ART: An Adaptive Versatile System for Web-based Instruction. International Journal of Artificial Intelligence in Education (JAIED) 12(4), 351–384 (2001)Google Scholar
  6. 6.
    Burke, R.: Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction 12(4), 331–370 (2002)MATHCrossRefGoogle Scholar
  7. 7.
    Short, J., Williams, E., Christie, B.: The Social Psychology of Telecommunications. John Wiley & Sons, London (1976)Google Scholar
  8. 8.
    Reichwald, R., Möslein, K., Sachenbacher, H.: Telekooperation: verteilte Arbeits- und Organisationsformen. Springer, Berlin (2000)Google Scholar
  9. 9.
    Treviño, L.K., Lengel, R.H., Daft, R.L.: Media Symbolism, Media Richness, and Media Choice in Organizations: A Symbolic Interactionist Perspective. Communication Research 14(5), 553–574 (1987)CrossRefGoogle Scholar
  10. 10.
    Straub, D., Karahanna, E.: Knowledge Worker Communications and Recipient Availability: Towards a Task Closure Explanation of Media Choice. Organization Science 9(2) (1998)Google Scholar
  11. 11.
    Treviño, L.K., Lengel, R.H.: The Richness Imperative and Cognitive Style: The Role of Individual Differences in Media Choice and Behavior. Management Communication Quarterly 4(2), 176–197 (1990)CrossRefGoogle Scholar
  12. 12.
    Fulk, J., Steinfield, C.W. (eds.): Organizations and Communication Technology. Sage Publications, Newbury (1990)Google Scholar
  13. 13.
    Markus, M.L.: Electronic Mail as the Medium of Managerial Choice. Organization Science 5(4), 502–527 (1994)CrossRefGoogle Scholar
  14. 14.
    Davis, F.D.: A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Doctoral Dissertation. Sloan Management School, Massachusetts Institute of Technology (1986)Google Scholar
  15. 15.
    Carlson, J.R., Zmud, R.W.: Channel Expansion Theory: A Dynamic View of Media and Information Richness Perceptions. In: Academy of Management Conference Proceedings, Dallas, Texas, pp. 91–105 (1994)Google Scholar
  16. 16.
    Carlson, J.R., Zmud, R.W.: Channel Expansion Theory and the Experimental Nature of Media Richness Perceptions. Academy of Management Journal 42(2), 153–170 (1999)CrossRefGoogle Scholar
  17. 17.
    King, R., Xia, W.: Media Appropriateness: Effects of Experience on Communication Media Choice. Decision Sciences 28(4), 877–910 (1997)CrossRefGoogle Scholar
  18. 18.
    Dennis, A., Valacich, J.: Rethinking Media Richness: Towards a Theory of Media Synchronicity. In: Sprague, R.H. (ed.) Proceedings of the 32th Hawaii International Conference on Systems Sciences. IEEE, Los Alamitos (1999)Google Scholar
  19. 19.
    Weber, A.: Medienwahl - Eine Auswertung von Ergebnissen der empirischen Forschung. Universität Zürich, Zürich (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Mario Aehnelt
    • 1
  • Mirko Ebert
    • 1
  • Günter Beham
    • 2
    • 3
  • Stefanie Lindstaedt
    • 2
    • 3
  • Alexander Paschen
    • 1
  1. 1.Fraunhofer Institute for Computer Graphics RostockRostockGermany
  2. 2.Know-CenterGrazAustria
  3. 3.Knowledge Management InstituteGraz University of TechnologyGrazAustria

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