Abstract
Virtual team members increasingly rely on virtual workspace tools to coordinate knowledge that each individual brings to the team. How the use of these tools affects knowledge coordination within virtual teams is not well understood. We distinguish between tools as features and the use of the virtual workspace as providing affordances for behaviors. Using situational awareness theory, we hypothesized two affordances of virtual workspaces that facilitate knowledge coordination. Using trading zone theory, we hypothesized two forms of trading zones created by features of virtual workspaces and the impact of these trading zones on the creation of affordances for team members. Members of 54 teams were asked about the affordances of the virtual workspace, and team leaders were asked about specific tools provided to the team. Our hypothesized model was supported: the different forms of trading zones were differentially related to the different affordances and on affordances were related to knowledge coordination satisfaction. Theoretical implications focus on the distinction between features and affordances and on the identification of specific features that affect specific affordances. Practical implications for managers and engineers supporting virtual teams include the utility of becoming knowledgeable about different forms of trading zones that virtual workspaces can provide and understanding the relationship between trading zones and different affordances.
- Alunaimi, O. A., Robert Jr., L. P., and Maruping, L. M. 2010. Team size, dispersion, social loafing in technology-supported teams: A perspective on the theory of moral disagreement. J. Manag. Info. Syst. 27, 1, 203--230. Google ScholarDigital Library
- Bieber, M., Engelbart, D., Furuta, R., Hiltz, R. S., Noll, J., Preece, J., Stohr, E. A., and Turoff, M. B. 2002. Toward virtual community knowledge evolution. J. Manag. Info. Syst. 18, 4, 11--35. Google ScholarDigital Library
- Boland, R. and Tenkasi, R. 1995. Perspective making and perspective taking in communities of knowing. Org. Science 6, 4, 350--386.Google ScholarDigital Library
- Boland, R., Tenkasi, R., and Te'eni, D. 1994. Designing information technology to support distributed cognition. Org. Science 5, 3, 456--475.Google ScholarDigital Library
- Boland, Jr., R. J., Lyytinen, K., and Yoo, Y. 2007. Wakes of innovation in project networks: The case of digital 3-D representations in architecture, engineering, and construction. Org. Science 18, 4, 631--647. Google ScholarDigital Library
- Bordetsky, A. and Mark, G. 2000. Memory-based feedback controls to support groupware coordination. Info. Syst. Res. 11, 4, 366--385. Google ScholarDigital Library
- Brown, P., Pietra, S., Della Pietra, V., and Mercer, R. 1993. The mathematics of statistical machine translation: Parameter estimation. Comput. Linguis. 19, 2, 263--311. Google ScholarDigital Library
- Carte, T. and Chidambaram, L. 2004. A capabilities-based theory of technology deployment in diverse teams: Leapfrogging the pitfalls of diversity and leveraging its potential with collaborative technology. J. Ass. Info. Syst. 5, 11/12, 448--471.Google Scholar
- Collins, H., Evans, R., and Gorman, M. 2007. Trading Zones and Interactional Expertise. Studies History Philos. Science 38, 4, 657--666.Google ScholarCross Ref
- Cramton, C. D. 2001. The mutual knowledge problem and its consequences for dispersed collaboration. Org. Science 12, 3, 346--371. Google ScholarDigital Library
- Daft, R. L., Lengel, R. H., and Trevino, L. K. 1987. Message equivocality, media selection, and manager performance: Implications for information systems. MIS Quart. 355--366. Google ScholarDigital Library
- Dennis, A. R., Fuller, R. M., and Valacich, J. S. 2008. Media, tasks, and communication processes: A theory of media synchronicity. MIS Quart. 32, 3, 575--600. Google ScholarDigital Library
- DeSanctis, G. and Gallupe, R. B. 1987. A foundation for the study of group decision support systems. Manag. Science 33, 5, 589--609. Google ScholarDigital Library
- Espinosa, J. A., Slaughter, S. A., Kraut, R. E., and Herbsleb, J. D. 2007. Team knowledge and coordination in geographically distributed software development. J. Manag. Info. Syst. 24, 1, 135--169. Google ScholarDigital Library
- Faraj, S. and Xiao, Y. 2006. Coordination in fast-response organizations. Manag. Science 52, 8, 1155--1169. Google ScholarDigital Library
- Galison, P. 1997. Image and Logic: A Material Culture of Microphysics. University of Chicago Press.Google Scholar
- Gibson, J. J. 1979. The Ecological Approach to Visual Perception. Houghton Mifflin, Boston, MA.Google Scholar
- Gorman, M. E. 2002. Levels of expertise and trading zones: A framework for multidisciplinary collaboration. Social Studies Science 32, 5/6, 933--938.Google Scholar
- Greenberg, S. and Roseman, S. 2003. Using a room metaphor to ease transition in groupware. In Sharing Expertise: Beyond Knowledge Management, M. Ackerman, V. Pipek and V. Wulf, Eds., MIT Press, Cambridge, MA, 203--256.Google Scholar
- Griffith, T. L. and Neale, M. A. 2001. Information processing in traditional, hybrid, and virtual teams: From nascent knowledge to transactive memory. Res. Org. Behav. 23, 379--421.Google ScholarCross Ref
- Gutwin, C., Roseman, M., and Greenberg, S. 1996. A usability study of awareness widgets in a shared workspace groupware system. In Proceedings of the Conference on Computer-Supported Cooperative Work. 258--267. Google ScholarDigital Library
- Hinds, P. J. and Bailey, D. E. 2003. Out of sight, out of sync: Understanding conflict in distributed teams. Org. Science 14, 615--632. Google ScholarDigital Library
- Hinds, P. J. and Mortensen, M. 2005. Understanding conflict in geographically distributed teams: The moderating effects of shared identity, shared context, and spontaneous communication. Org. Science 16, 3, 290--307. Google ScholarDigital Library
- Kellogg, K. C., Orlikowski, W. J., and Yates, J. 2006. Life in the Trading zone: Structuring coordination across boundaries in postbureaucratic organizations. Org. Science 17, 1, 22--44. Google ScholarDigital Library
- Kraut, R. E., Fussell, S. R., Brennan, S. E., and Siegel, J. 2002. Understanding effects of proximity on collaboration: Implications for technologies to support remote collaborative work. In P. Hinds and S. Kiesler Eds., Distributed Work, MIT Press, Cambridge, MA, 137--162.Google Scholar
- Leonardi, Paul M. 2011. When flexible routines meet flexible technologies: Affordance, constraint and the imbircation of human and material agencies. MIS Quart. 35, 1, 147--168. Google ScholarDigital Library
- Lipnack, J. and Stamps, J. 1997. Virtual Teams: Reaching Across Space, Time and Organizations with Technology. Wiley, NY. Google ScholarDigital Library
- Ma M. and Agarwal, R. 2007. Through a glass darkly: Information technology design, identity verification, and knowledge contribution in online communities. Info. Syst. Res. 18, 1, 42--67. Google ScholarDigital Library
- Majchrzak, A. and Markus, M. L. 2012. Management information systems. In E. H. Kessler Ed., Encyclopedia of Management Theory, Sage Publications, Thousand Oaks, CA, To appear.Google Scholar
- Majchrzak, A., Rice, R. E., Malhotra, A., King, N., and Ba, S. 2000. Technology adaptation: The case of a computer-supported inter-organizational virtual team. MIS Quart. 24, 4 569--600. Google ScholarDigital Library
- Majchrzak, A., Malhotra, A., and John, R. 2005. Perceived individual collaboration know-how development through information technology-enabled contextualization: Evidence from distributed teams. Info. Syst. Res. 16, 1, 9--27. Google ScholarDigital Library
- Majchrzak, A., Jarvenpaa, S. L., and Hollingshead, A. B. 2007. Coordinating expertise among emergent groups responding to disasters. Org. Science 18, 1, 147--161. Google ScholarDigital Library
- Malhotra, A. and Majchrzak, A. 2005. Virtual workspace technologies. MIT Sloan Manag. Rev. 46, 2, 11--14.Google Scholar
- Malhotra, A. and Majchrzak, A. 2009. Communication context-dependent technology use in virtual teams. In Proceedings of the International Conference on Information Systems.Google Scholar
- Malhotra, A., Majchrzak, A., and Rosen, B. 2007. Leading virtual teams. Acad. Manag. Perspect. 21, 60--70.Google ScholarCross Ref
- Markus, M. L. and Silver, M. S. 2008. A foundation for the study of it effects: A new look at Desanctis and Poole's concepts of structural features and spirit. J. Ass. Info. Syst. 9, 10, 609--632.Google ScholarCross Ref
- Maznevski, M. L. and Chudoba, K. M. 2000. Bridging space over time: Global virtual team dynamics and effectiveness. Org. Science 11, 473--492. Google ScholarDigital Library
- McGee, M. K. 2006. CEOs on collaboration: Do as we say, not as we do. Information Week. 316, 32.Google Scholar
- Nahapiet, J. and Ghoshal, S. Social capital, intellectual capital, and the organizational advantage. Acad. Manag. Rev. 23, 2, 242--266.Google Scholar
- Nofi, A. 2000. Defining and measuring shared situational awareness, Center for Naval Analyses Report #CRM D0002895.A1, http://www.cna.org/documents/D0002895.A1.pdf.Google Scholar
- Nunamaker, Jr., J. F. and Briggs, R. O. 2011. Toward a broader vision for information systems. ACM Trans. Manag. Info. Syst. 2, 4, 20--31. Google ScholarDigital Library
- Paul, D. L. 2006. Collaborative activities in virtual settings: A knowledge management perspective of telemedicine. J. Manag. Info. Syst. 22, 4, 143--176. Google ScholarDigital Library
- Rayport, J. F. 2011. Technology will make collaboration your next competitive advantage. Technology Review, 3/1.Google Scholar
- Robert, Jr., L. P., Dennis, A. R., and Ahuja, M. K. 2008. Social capital and knowledge integration in digitally enabled teams. Info. Syst. Res. 19, 3, 314--334.Google ScholarCross Ref
- Rosen, B., Furst, S., and Blackburn, R. 2007. Overcoming barriers to knowledge sharing in virtual teams. Org. Dynam. 36, 3, 259--273.Google ScholarCross Ref
- Slater, M., Sadagic, A., Usoh, A. M., and Schroeder, R. Small--group behavior in a virtual and real environment: A comparative study. Presence 9, 1, 37--51. Google ScholarDigital Library
- Star, S. L. and Griesemer, J. 1989. Institutional ecology, ‘translations’ and boundary objects: Amateurs and professionals in Berkeley's Museum of Vertebrate Zoology. Social Studies Science 19, 3, 387--420.Google ScholarCross Ref
- Stein, E. W. and Zwass, V. 1995. Actualizing organizational memory with information systems. Info. Syst. Res. 6, 2, 85--117.Google ScholarDigital Library
- Watson-Manheim, M. B. and Bélanger, F. 2007. Communication Media repertoires: Dealing with the multiplicity of media choices. MIS Quart. 31, 2, 267--293. Google ScholarDigital Library
- Zammuto, R. F., Griffith, T. L., Majchrzak, A., Dougherty, D. J., and Faraj, S. 2007. Information technology and the changing fabric of organization. Org. Science 18, 5, 749--762. Google ScholarDigital Library
- Zigurs, I. and Buckland, B. K. 1998. A theory of task/technology fit and group support systems effectiveness. MIS Quart. 22, 313--334. Google ScholarDigital Library
Index Terms
- How virtual teams use their virtual workspace to coordinate knowledge
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