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Role-Based Experiences, Media Perceptions, and Knowledge Transfer Success in Virtual Dyads

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Abstract

Knowledge transfer (KT) is the process through which one is affected by the experience of another. While many of the challenges of KT have been discussed in the literature (e.g., incentives, cognitive limitations), the challenge of KT in virtual settings has received limited attention. In this paper, our interest lies in exploring asymmetric KT where a sender has more knowledge about a topic than a receiver. We focus on a dyadic relationship between geographically dispersed sender and receiver units, supported by a multi-media technology environment. Drawing from the KT literature and Channel Expansion Theory, we specifically explore the evolution of and relationship between role-based experiences (e.g., with partner, topic, media) and media richness perceptions. Our results provide evidence that KT roles do matter relative to the acquisition of experiences and expansions in media richness perceptions. Despite some differences in acquired experiences, our results also suggest that KT partners converge in their perceptions of acquired experiences and evolve to shared (or congruent) perceptions of media richness. Finally, our results provide evidence that sender-receiver congruence in media richness perceptions influences KT success.

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References

  • Alavi, M. and D. E. Leidner. (2001). “Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues,” MIS Quarterly 25(1), 107.

    Article  Google Scholar 

  • Argote, L. (1982). “Input Uncertainty and Organizational Coordination in Hospital Emergency Units,” Administrative Science Quarterly 27(3), 420–434.

    Article  Google Scholar 

  • Argote, L. (1999). Organizational Learning: Creating, Retaining, and Transferring Knowledge, Kluwer Academic, Boston.

    Google Scholar 

  • Argote, L. and P. Ingram. (2000). “Knowledge Transfer: A Basis for Competitive Advantage in Firms,” Organizational Behavior and Human Decision Processes 82(1), 150–169.

    Article  Google Scholar 

  • Argote, L., P., Ingram, J. M., Levine, and R. L. Moreland. (2000). “Knowledge Transfer in Organizations: Learning from the Experience of Others,” Organizational Behavior and Human Decision Processes 82(1), 1–8.

    Article  Google Scholar 

  • Baldwin, T. T. and J. K. Ford. (1988). “Transfer of Training: A Review and Direction for Future Research,” Personnel Psychology 41, 63–105.

    Article  Google Scholar 

  • Barley, S. (1986). “Technology as an Occasion for Structuring: Evidence from Observations of CT Scanners and the Social Order of Radiology Departments,” Administrative Science Quarterly 31(1), 78–108.

    Article  Google Scholar 

  • Boland, R. J., T. V. Ramkrishnan, and D. Te'Eni. (1994). “Designing Information Technology to Support Distributed Cognition,” Organization Science 5(3), 456–475.

    Google Scholar 

  • Bordia, P. (1997). “Face-to-Face Versus Computer-Mediated Communication: A Synthesis of the Experimental Literature,” Journal of Business Communication 34(1), 99–120.

    Article  Google Scholar 

  • Boudreau, M.-C., K. D. Loch, D. Robey, and D. Straub. (1998). “Going Global: Using Information Technology to Advance the Competitiveness of the Virtual Transnational Organization,” The Academy of Management Executive 12(4), 120.

    Google Scholar 

  • Burke, K. and L. Chidambaram. (1999). “How Much Bandwidth is Enough? A Longitudinal Examination of Media Characteristics and Group Outcomes,” MIS Quarterly 23(4), 557–579.

    Article  Google Scholar 

  • Carlson, J. R. and R. W. Zmud. (1994). Channel Expansion Theory: A Dynamic View of Media and Information Richness Perceptions. Academy of Management Best Papers Proceedings, Academy of Management.

  • Carlson, J. R. and R. W. Zmud. (1999). “Channel Expansion Theory and the Experiential Nature of Media Richness Perceptions,” Academy of Management Journal 42(2), 153–170.

    Article  Google Scholar 

  • Clark, H. H. and D. Wilkes-Gibbs. (1986). “Referring as a Collaborative Process,” Cognition 22(1), 1–39.

    Article  Google Scholar 

  • Cramton, C. D. (2001). “The Mutual Knowledge Problem and Its Consequences for Dispersed Collaboration,” Organization Science 12(3), 346–371.

    Article  Google Scholar 

  • Daft, R. L. and R. H. Lengel. (1984). “Information Richness: A New Approach to Manager Information Processing and Organization Design,” in B. M., Staw, and L. L. Cummings,(eds.), Research in Organizational Behavior. Greenwich, CT, JAI Press: 191–233.

    Google Scholar 

  • Daft, R. L. and R. H. Lengel. (1986). “Organizational Information Requirements, Media Richness and Structural Design,” Management Science 32(5), 554.

    Google Scholar 

  • Daft, R. L., R. H. Lengel, and L. K. Trevino. (1987). “Message Equivocality, Media Selection, and Manager Performance: Implications for Information Systems (in Theory and Research),” MIS Quarterly 11(3), 355–366.

    Article  Google Scholar 

  • Dennis, A. R. and S. T. Kinney. (1998). “Testing Media Richness Theory in the New Media: The Effects of Cues, Feedback, and Task Equivocality,” Information Systems Research 9(3), 256–274.

    Google Scholar 

  • Dennis, A. R. and J. S. Valacich. (1999). Rethinking Media Richness: Towards a Theory of Media Synchronicity. 32nd Hawaii International Conference on System Sciences, HI.

  • Empson, L. (2001). “Fear of Exploitation and Fear of Contamination: Impediments to Knowledge Transfer in Mergers between Professional Service Firms,” Human Relations 54(7), 839.

    Article  Google Scholar 

  • Flanagin, A.J. (2005). “IM Online: Instant Messaging Use Among College Students,” Communication Research Reports 22(3), 175–187.

    Article  Google Scholar 

  • Fulk, J. and B. Boyd. (1991). “Emerging Theories of Communication in Organizations,” Journal of Management 17(2), 407.

    Article  Google Scholar 

  • Fulk, J. (1993). “Social Construction of Communication Technology,” Academy of Management Journal 36(5), 921–950.

    Article  Google Scholar 

  • Griffith, T. L. and M. A. Neale. (2001). “Information Processing in Traditional, Hybrid, and Virtual Teams: From Nascent Knowledge to Transactive Memory,” in B. M., Staw, and Sutton, R. I. (eds.), Research in Organizational Behavior. Greenwich, CT, JAI Press. 23, 379–421.

    Google Scholar 

  • Harkema, S. (2003). “A Complex Adaptive Perspective on Learning within Innovation Projects,” The Learning Organization 10(6), 340.

    Article  Google Scholar 

  • Inkpen, A. C. and A. Dinur. (1998). “Knowledge Management Processes and International Joint Ventures,” Organization Science 9(4), 454–468.

    Google Scholar 

  • Jarvenpaa, S. L. and D. E. Leidner. (1998). “Communication and Trust in Global Virtual Teams,” Journal of Computer Mediated Communication 13(4), 1–30.

    Google Scholar 

  • Karsten, H. (1995). “Converging Paths to Notes: In Search of Computer-Based Information Systems in a Networked Company,” Information Technology & People 8(1), 7–34.

    Article  Google Scholar 

  • Keppel, G. and T. D. Wickens. (2004). Design and Analysis: A Researcher's Handbook, Upper Saddle River, NJ, Pearson Prentice Hall.

    Google Scholar 

  • Ko, D.-G., L. J. Kirsch, and W. R. King. (2005). “Antecedents of Knowledge Transfer from Consultants to Clients in Enterprise System Implementations,” MIS Quarterly 29(1), 59–85.

    Google Scholar 

  • Kock, N. (2004). “The Psychobiological Model: Towards a New Theory of Computer-Mediated Communication Based on Darwinian Evolution,” Organization Science 15(3), 327–348.

    Article  Google Scholar 

  • Markus, M. L. (1994). “Electronic Mail as the Medium of Managerial Choice,” Organization Science 5(4), 502.

    Google Scholar 

  • Markus, M. L. and M. Keil. (1994). “If We Build It, They will Come: Designing Information Systems That People Want to Use,” Sloan Management Review 35(4), 11–25.

    Google Scholar 

  • Massey, A. P. and M. M. Montoya-Weiss. (2006). “Unraveling the Temporal Fabric of Knowledge Conversion: A Theory of Media Selection and Use,” MIS Quarterly 30(1), 1–18.

    Google Scholar 

  • Massey, A. P., M. M., Montoya-Weiss, and T. M. O'Driscoll. (2002). “Performance-Centered Design of Knowledge-Intensive Processes,” Journal of Management Information Systems 18(4), 37–58.

    Google Scholar 

  • McGrath, J. (1991). “Time, Interaction, and Performance (TIP): A Theory of Groups,” Small Group Research 22(2), 147–174.

    Article  Google Scholar 

  • Mowery, D. C., J. E. Oxley, and B. S. Silverman. (1996). “Strategic Alliances and Interfirm Knowledge Transfer,” Strategic Management Journal 17, 77–91.

    Google Scholar 

  • Nadler, D. A. and M. L. Tushman. (1980). “A Model for Diagnosing Organizational Behavior,” Organizational Dynamics 9(2), 35–51.

    Article  Google Scholar 

  • Nonaka, I. (1994). “A Dynamic Theory of Organizational Knowledge Creation,” Organization Science 5(1), 14–37.

    Google Scholar 

  • Orlikowski, W. J. and D. C. Gash. (1994). “Technological Frames: Making Sense of Information Technology in Organizations,” ACM Transactions on Information Systems 12(2), 174–207.

    Article  Google Scholar 

  • Pew Research (2005). “Teens and Technology,” http://www.pewinternet.org/pdfs/PIP_Teens_Tech_July2005web-.pdf. (Downloaded August 2005).

  • Russ, G. S., R. L. Daft, and R. H. Lengel. (1990). “Media Selection and Managerial Characteristics in Organizational Communications,” Management Communication Quarterly 4(2), 151–175.

    Article  Google Scholar 

  • Sarker, S., S. Sarker, D. Nicholson, and K. D. Joshi. (2005). “Knowledge Transfer in Virtual Systems Development Teams: An Exploratory Study of Four Key Enablers,” IEEE Transactions on Professional Communication 48(2), 201–218.

    Article  Google Scholar 

  • Shumate, M. and J. Fulk. (2004). “Boundaries and Role Conflict when Work and Family are Colocated: A Communication Network and Symbolic Interaction Approach,” Human Relations 57(1), 55.

    Article  Google Scholar 

  • Szulanski, G. (1996). “Exploring Internal Stickiness: Impediments to the Transfer of Best Practices within the Firm,” Strategic Management Journal (Special Issue: Knowledge and the Firm) 17, 27–43.

    Google Scholar 

  • Szulanski, G. (2000). “The Process of Knowledge Transfer: A Diachronic Analysis of Stickiness,” Organizational Behavior and Human Decision Processes 82(1), 9–27.

    Article  Google Scholar 

  • Vogel, D. R., M. van Genuchten, D. Lou, s. Verveen, M. van Eekhout and A. Adams. (2001). “Exploratory Research on the Role of National and Professional Cultures in a Distributed Learning Project,” IEEE Transactions on Professional Communication 44(2), 114–125.

    Article  Google Scholar 

  • Walther, J. B. (1992). “Interpersonal Effects in Computer-Mediated Interaction,” Communication Research 19(1), 52–90.

    Article  Google Scholar 

  • Watson-Mannheim, M. B. and F. Belanger. (2002). An In-Depth Investigation of Communication Mode Choices in Distributed Teams. 23rd International Conference on Information Systems, Barcelona, Spain.

  • Webster, J. and L. K. Trevino. (1995). “Rational and Social Theories as Complementary Explanations of Communication Media Choices: Two Policy-Capturing Studies,” Academy of Management Journal 38(6), 1544–1572.

    Article  Google Scholar 

  • Zack, M. H. (1993). “Interactivity and Communication Mode Choice in Ongoing Management Groups,” Information Systems Research 4(3), 207.

    Google Scholar 

  • Zander, U. and B. Kogut. (1995). “Knowledge and the Speed of the Transfer and Imitation of Organizational Capabilities: An Empirical Test,” Organization Science 6(1), 76–92.

    Article  Google Scholar 

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Authors and Affiliations

  1. Information Systems Department, Indiana University, 1309 E. 10th Street BU560, Bloomington, IN, 47405, USA

    Bryan K. Hasty

  2. Information Systems Department, Indiana University, Bloomington, USA

    Anne P. Massey

  3. Management Information Systems Department, University of Arizona, Tucson, USA

    Susan A. Brown

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  1. Bryan K. Hasty
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  2. Anne P. Massey
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Hasty, B.K., Massey, A.P. & Brown, S.A. Role-Based Experiences, Media Perceptions, and Knowledge Transfer Success in Virtual Dyads. Group Decis Negot 15, 367–387 (2006). https://doi.org/10.1007/s10726-006-9047-5

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