The Effect of Synchronous CMC Technology by Task Network: A Perspective of Media Synchronicity Theory

개인의 업무 네트워크 특성에 따른 동시적 CMC의 영향 : 매체 동시성 이론 관점

  • 김민수 (한양대학교 경영대학) ;
  • 박철우 (서울대학교 경영연구소) ;
  • 양희동 (이화여자대학교 경영대학 경영학과)
  • Published : 2008.09.30

Abstract

The task network which is formed of different individuals can be recognized as a social network. Therefore, the way to communicate with people inside or outside the network has considerable influence on their outcome. Moreover, the position on which a member stands in a network shows the different effects of the information systems supporting communication with others. In this paper, it is to be studied how personal CMC (computer-mediated communication) tools affect the mission that those who work for a network perform through diverse task networks. Especially, we focused on synchronicity of CMC. On this score, the perspective of Media Synchronicity Theory was taken that had been suggested by criticizing Media Richness Theory. It is the objective, from this perspective, to find which characteristics of networks make the value of IT supporting synchronicity high. In the research trends of social networks, there have been two traditional perspectives to explain the effect of network: embeddedness and diversity ones. These differ from the aspect which type of social network can provide much more economic benefits. As similar studies have been reported by various researchers, these are also divided into the bonding and bridging views which are based on internal and external tie, respectively, Size, density, and centrality were measured as the characteristics of personal task networks. Size means the level of relationship between members. It is the total number of other colleagues who work with a specific member for a certain project. It means, the larger the size of task network, the more the number of coworkers who interact each other through the job. Density is the ratio of the number of relationships arranged actually to the total number of available ones. In an ego-centered network, it is defined as the ratio of the number of relationship made really to the total number of possible ones between members who are actually involved each other. The higher the level of density, the larger the number of projects on which the members collaborate. Centrality means that his/her position is on the exact center of whole network. There are several methods to measure it. In this research, betweenness centrality was adopted among them. It is measured by the position on which one member stands between others in a network. The determinant to raise its level is the shortest geodesic that represents the shortest distance between members. Centrality also indicates the level of role as a broker among others. To verify the hypotheses, we interviewed and surveyed a group of employees of a nationwide financial organization in which a groupware system is used. They were questioned about two CMC applications: MSN with a higher level of synchronicity and email with a lower one. As a result, the larger the size of his/her own task network, the smaller its density and the higher the level of his/her centrality, the higher the level of the effect using the task network with CMC tools. Above all, this positive effect is verified to be much more produced while using CMC applications with higher-level synchronicity. Among the a variety of situations under which the use of CMC gives more benefits, this research is considered as one of rare cases regarding the characteristics of task network as moderators by focusing ITs for the operation of his/her own task network. It is another contribution of this research to prove empirically that the values of information system depend on the social, or comparative, characteristic of time. Though the same amount of time is shared, the social characteristics of users change its value. In addition, it is significant to examine empirically that the ITs with higher-level synchronicity have the positive effect on productivity. Many businesses are worried about the negative effect of synchronous ITs, for their employees are likely to use them for personal social activities. However. this research can help to dismiss the concern against CMC tools.

Keywords

References

  1. Adler, P.S., and Kwon, S.W., "Social Capital: Prospects for a New Concept," Academy of Management Review, Vol. 27, 2002, pp. 17-40 https://doi.org/10.2307/4134367
  2. Aiken, L.S., and West, S.G., Multiple Regression: Testing and Interpreting Interactions. Sage, Newbury Park, CA, 1991
  3. Barley, S.R., "Technology as an Organization for Structuring: Evidence from Observations of CT Scanners and the Social Order of Radiology Departments," Administrative Science Quarterly, Vol. 31, 1986, pp. 78-109 https://doi.org/10.2307/2392767
  4. Barley, S.R., "On Technology, Time, and Social Order: Technologically Induced Change in the Temporal Organization of Radiological Work," In F. A. Dubinskas, Making Time: Ethnographies of High Technology Organizations, Temple University Press, Philadelphia, PA, 1988, pp. 123-169
  5. Berger, C.R., "Interpersonal Communication: Theoretical Perspectives, Future Prospects," Journal of Communication, Vol. 55, No. 3, 2005, pp. 415-447 https://doi.org/10.1111/j.1460-2466.2005.tb02680.x
  6. Borgartti, S.P. and Foster, P.C., "The Network Paradigm in Organizational Research: A Review and Typology," Journal of Management, Vol. 29, 2003, pp. 991-1013
  7. Bourdieu, P., "The Forms of Capital," In J. G. Richardson (Eds.), Handbook of Theory and Research for the Sociology of Education, 1985, pp. 241-258
  8. Bowerman, B.L. and O'Connell, R.T., Linear Statistical Models: An Applied Approach (2nd edition). Belmont, CA: Duxbury, 1990
  9. Burke, K. and Chidambaram, L., "How Much Bandwidth Is Enough? A Longitudinal Examination of Media Characteristics and Group Outcomes," MIS Quarterly, Vol. 23, No. 4, 1999, pp. 557-580 https://doi.org/10.2307/249489
  10. Burt, R.S., Brokerage and Closure: An Introduction to Social Capital, Oxford University Press, 2005
  11. Burt, R.S., Structural Holes: The Social Structure of Competition, Harvard University Press, Cambridge, MA, 1992
  12. Burt, R.S., "The Contingent Value of Social Capital," Administrative Science Quarterly, Vol. 42, 1997, pp. 339-365 https://doi.org/10.2307/2393923
  13. Chen, K., Yen, D.C., and Huang, A.H., "Media Selection to Meet Communication Contexts: Comparing E-Mail and Instant Messaging in an Undergraduate Population," Communications of the AIS, Vol. 14, 2004, pp. 387-405
  14. Cheung, M.T. and Liao, Z., "Time-Asymmetry in Business Processes," Communications of the ACM, Vol. 45, No. 5, 2001, pp. 107-108
  15. Chidambaram, L. and Tung, L.T., "Is Out of Sight, Out of Mind? An Empirical Study of Social Loafing in Technology-Supported Groups," Information Systems Research, Vol. 16, No. 2, 2005, pp. 149-168 https://doi.org/10.1287/isre.1050.0051
  16. Coleman, J.S., "Social Capital in the Creation of Human Capital," American Journal of Sociology, Vol. 94 (Supplement), 1988, pp. 95-120 https://doi.org/10.1086/228943
  17. Coleman, J.S., Foundations of Social Theory, Belknap Press, Cambridge, MA, 1990
  18. Cornelius, C. and Boos, M., "Enhancing Mutual Understanding in Synchronous Computer- Mediated Communication by Training: Trade-offs in Judgmental Tasks," Communication Research, Vol. 30, No. 2, 2003, pp. 147-177 https://doi.org/10.1177/0093650202250874
  19. Daft, R.L. and Lengel, R.H., "Organizational Information Requirements, Media Richness, and Structural Design," Management Science, Vol. 32, No. 50, 1986, pp. 554-571 https://doi.org/10.1287/mnsc.32.5.554
  20. Dennis, A.R., Aronson, J.E., Heninger, W.G., and Walker II, E.D., "Structuring Time and Task in Electronic Brainstorming," MIS Quarterly, Vol. 23, No. 1, 1999, pp. 95-108 https://doi.org/10.2307/249411
  21. Dennis, A.R. and Valacich, J.S., "Rethinking Media Richness: Towards a Theory of Media Synchronicity," In Proceedings of the 32nd Hawaii International Conference on System Sciences, Vol. 1, 1999, pp. 1-10
  22. Dennis, A.R., Wixom, B.H., and Vandenberg, R.J., "Understanding Fit and Appropriation Effects in Group Support Systems via Meta-Analysis," MIS Quarterly, Vol. 25, No. 2, 2001, pp. 167-193 https://doi.org/10.2307/3250928
  23. Failla, A. and Bagnara, S., "Information Technology, Decision, Time," Social Science Information, Vol. 31, No. 4, 1992, pp. 669-681 https://doi.org/10.1177/053901892031004003
  24. Freeman, L.C., "Centrality in Social Networks: I. Conceptual Clarification," Social Networks, Vol. 1, 1979, pp. 215-239 https://doi.org/10.1016/0378-8733(78)90021-7
  25. Fulk, J., "Social Construction of Communication Technology," Academy of Management Journal, Vol. 36, No. 5, 1993, pp. 921-950 https://doi.org/10.2307/256641
  26. Granovetter, M.S., "The Strength of Weak Ties," American Journal of Sociology, Vol. 78, 1973, pp. 1360-1380 https://doi.org/10.1086/225469
  27. Granovetter, M.S., "The Strength of Weak Ties: A Network Theory Revisited," In P. V. Marsden and N. Lin (Eds.), Social Structure and Network Analysis, Sage, Beverly Hills, CA, 1982, pp. 105-130
  28. Granovetter, M.S., "Economic Action and Social Structure: The Problem of Embeddedness," American Journal of Sociology, Vol. 91, 1985, pp. 481-510 https://doi.org/10.1086/228311
  29. Kalish, Y. and Robins, G., "Psychological Predispositions and Network Structure: The Relationship between Individual Predispositions, Structural Holes and Network Closure," Social Networks, Vol. 28, 2006, pp. 56-84 https://doi.org/10.1016/j.socnet.2005.04.004
  30. Kreijins, K., Kirschner, P.A., Jochems, W., and Buuren, H.V., "Determining Sociability, Social Space, and Social Presence in (A)synchronous Collaborative Groups," Cyber Psychology and Behavior, Vol. 7, No. 2, 2004, pp. 155-172 https://doi.org/10.1089/109493104323024429
  31. Lee, H., "Time and Information Technology: Monochronicity, Polychronicity, and Temporal Symmetry," European Journal of Information Systems, Vol. 8, 1999, pp. 16-26 https://doi.org/10.1057/palgrave.ejis.3000318
  32. Lee, H. and Liebenau, J., "Time in Organizational Studies: Towards a New Research Direction," Organization Studies, Vol. 20, No. 6, 1999, pp. 1035-1058 https://doi.org/10.1177/0170840699206006
  33. Lee, H., and Liebenau, J., "Temporal Effects of Information Systems on Business Processes: Focusing on the Dimensions of Temporality," Accounting, Management and Information Technologies, Vol. 10, 2000, pp. 157-185 https://doi.org/10.1016/S0959-8022(00)00003-5
  34. Levina, N., and Vaast, E., "The Emergence of Boundary Spanning Competence in Practice: Implications for Implementation and Use of Information Systems," MIS Quarterly, Vol. 29, No. 2, 2005, pp. 335-363 https://doi.org/10.2307/25148682
  35. Levina, N. and Vaast, E., "Turning a Com munity into a Market: A Practice Perspective on Information Technology Use in Boundary Spanning," Journal of Management Information Systems, Vol. 22, No. 4, 2006, pp. 13-37 https://doi.org/10.2753/MIS0742-1222220402
  36. Lewis, J.D., and Weigert, A.J., "The Structures and Meanings of Social Time," Social Forces, Vol. 60, No. 2, 1981, pp. 432-462 https://doi.org/10.2307/2578444
  37. Li, D., Chau, P.Y.K., and Lou, H., "Understanding Individual Adoption of Instant Messaging: An Empirical Investigation," Journal of the AIS, Vol. 6, No. 4, 2005, pp. 102-129
  38. Maruping, L., and Agarwal, R., "Managing Team Interpersonal Processes through Technology: A Task-Technology Fit Perspective," Journal of Applied Psychology, Vol. 89, No. 6, 2004, pp. 975-990 https://doi.org/10.1037/0021-9010.89.6.975
  39. Masey, A.P., Montoya-Weiss, M.M., and Hung, Y-T., "Because Time Matters: Temporal Coordination in Global Virtual Project Teams," Journal of Management Information Systems, Vol. 19, No. 4, 2003, pp. 129-155 https://doi.org/10.1080/07421222.2003.11045742
  40. Mehra, A., Kilduff, M., and Brass, D.J., "The Social Networks of High and Low Self-monitors: Implications for Workplace Performance," Administrative Science Quarterly, Vol. 46, 2001, pp. 121-146 https://doi.org/10.2307/2667127
  41. Menard, S., "Applied Logistic Regression Analysis," Sage University Paper Series on Quantitative Applications in the Social Sciences, 07-106. Thousand Oaks, CA: Sage, 1995
  42. Murthy, U.S. and Kerr, D.S., "Decision Making Performance of Interacting Groups: An Experimental Investigation of the Effects of Task Type and Communication Mode," Information and Management, Vol. 40, No. 5, 2003, pp. 351-360 https://doi.org/10.1016/S0378-7206(02)00017-4
  43. Podolny, J.M. and Baron, J.N., "Resources and Relationships: Social Networks and Mobility in the Workplace," American Sociological Review, Vol. 62, 1997, pp. 673-693 https://doi.org/10.2307/2657354
  44. Portes, A. and Sensenbrenner, J., "Embeddedness and Immigration: Notes on the Social Determinants of Economic Action," American Journal of Sociology, Vol. 98, 1993, pp. 1320-50 https://doi.org/10.1086/230191
  45. Putnam, R., Making democracy work: Civic traditions in modern Italy, Princeton University Press, Princeton, NJ, 1993
  46. Reagans, R. and Zuckerman, E.W., "Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams," Organization Science, Vol. 12, No. 4, 2001, pp. 502-517 https://doi.org/10.1287/orsc.12.4.502.10637
  47. Rennecker, J. and Godwin, L., "Delays and Interruptions: A Self-perpetuating Paradox of Communication Technology Use," Information and Organization, Vol. 15, 2005, pp. 247-266 https://doi.org/10.1016/j.infoandorg.2005.02.004
  48. Sandefur, R.L. and Laumann, E.O., "A Paradigm for Social Capital," Rationality and Society, Vol. 10, 1998, pp. 481-501 https://doi.org/10.1177/104346398010004005
  49. Schultze, U. and Orlikowski, W.J., "A Practice Perspective on Technology-Mediated Network Relations: The Use of Internet- Based Self-Serve Technologies," Information Systems Research, Vol. 15, No. 1, 2004, pp. 87-106 https://doi.org/10.1287/isre.1030.0016
  50. Short, J., Williams, E., and Christie, B., The Social Psychology of Telecommunications. Wiley, London, UK, 1976
  51. Sivunen, A. and Valo, M., "Team Leaders' Technology Choice in Virtual Teams," IEEE Transactions on Professional Communication, Vol. 49, No. 1, 2006, pp. 57-68 https://doi.org/10.1109/TPC.2006.870458
  52. Turner, J.W., Grube, J.A., Tinsley, C.H., Lee, C., and O'Pell, C., "Exploring the Dominant Media: How Does Media Use Reflect Organizational Norms and Affect Performance?" Journal of Business Communication, Vol. 43, No. 3, 2006, pp. 220-250 https://doi.org/10.1177/0021943606288772
  53. Uzzi, B., "Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness," Administrative Science Quarterly, Vol. 42, 1997, pp. 35-67 https://doi.org/10.2307/2393808