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Toward a New Understanding of Virtual Research Collaborations

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  • Arsev Umur Aydinoglu

Abstract

Virtual research collaborations (VRCs) have become an important method of conducting scientific activity; however, they are often regarded and treated as traditional scientific collaborations. Their success is measured by scholarly productivity and adherence to budget by funding agencies, participating scientists, and scholars. VRCs operate in complex environments interacting with other complex systems. A holistic (or organicist) approach is needed to make sense of this complexity. For that purpose, this study proposes using a new perspective, namely, the complex adaptive systems theory that can provide a better understanding of a VRC’s potential creativity, adaptability, resilience, and probable success. The key concepts of complex systems (diversity, interaction, interdependency, feedback, emergence, and adaptation) utilized in organization studies are used to discuss the behaviors of VRCs, illustrated with real-life examples.

Suggested Citation

  • Arsev Umur Aydinoglu, 2013. "Toward a New Understanding of Virtual Research Collaborations," SAGE Open, , vol. 3(4), pages 21582440135, October.
  • Handle: RePEc:sae:sagope:v:3:y:2013:i:4:p:2158244013507269
    DOI: 10.1177/2158244013507269
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    1. Besiki Stvilia & Michael B. Twidale & Linda C. Smith & Les Gasser, 2008. "Information quality work organization in wikipedia," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(6), pages 983-1001, April.
    2. Philip Anderson, 1999. "Perspective: Complexity Theory and Organization Science," Organization Science, INFORMS, vol. 10(3), pages 216-232, June.
    3. Deborah Gladstein Ancona & David F. Caldwell, 1992. "Demography and Design: Predictors of New Product Team Performance," Organization Science, INFORMS, vol. 3(3), pages 321-341, August.
    4. Blaise Cronin & Lokman Meho, 2006. "Using the h‐index to rank influential information scientistss," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(9), pages 1275-1278, July.
    5. Garfield, Eugene, 2009. "From the science of science to Scientometrics visualizing the history of science with HistCite software," Journal of Informetrics, Elsevier, vol. 3(3), pages 173-179.
    6. Noriko Hara & Paul Solomon & Seung‐Lye Kim & Diane H. Sonnenwald, 2003. "An emerging view of scientific collaboration: Scientists' perspectives on collaboration and factors that impact collaboration," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(10), pages 952-965, August.
    7. Tannenbaum, Scott I. & Mathieu, John E. & Salas, Eduardo & Cohen, Debra, 2012. "Teams Are Changing: Are Research and Practice Evolving Fast Enough?," Industrial and Organizational Psychology, Cambridge University Press, vol. 5(1), pages 2-24, March.
    8. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    9. Murase, Toshio & Doty, Daniel & Wax, Amy & DeChurch, Leslie A. & Contractor, Noshir S., 2012. "Teams Are Changing: Time to “Think Networks”," Industrial and Organizational Psychology, Cambridge University Press, vol. 5(1), pages 41-44, March.
    10. Vasileiadou, Eleftheria, 2009. "Stabilisation operationalised: Using time series analysis to understand the dynamics of research collaboration," Journal of Informetrics, Elsevier, vol. 3(1), pages 36-48.
    11. Pietro Panzarasa & Tore Opsahl & Kathleen M. Carley, 2009. "Patterns and dynamics of users' behavior and interaction: Network analysis of an online community," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(5), pages 911-932, May.
    12. R. A. Thiétart & B. Forgues, 1995. "Chaos Theory and Organization," Organization Science, INFORMS, vol. 6(1), pages 19-31, February.
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