Accès libre

The Role of Social Influence and Network Churn in Beliefs about Electronic Medical Record Technology

À propos de cet article

Citez

Agarwal, R. (2000). Individual acceptance of information technologies. In R. W. Zmud (Ed.), Framing the domains of IT management: Projecting the future through the past (pp. 85-104). Cincinnati, OH: Pinnaflex.AgarwalR. (2000). Individual acceptance of information technologies. In R. W.Zmud (Ed.), Framing the domains of IT management: Projecting the future through the past (pp. 85-104). Cincinnati, OH: Pinnaflex.Search in Google Scholar

Aydin, C. E., & Rice, R. E. (1991). Social worlds, individual differences, and implementation: Predicting attitudes toward a medical information system. Information & Management, 20(2), 119-136.AydinC. E., & RiceR. E. (1991). Social worlds, individual differences, and implementation: Predicting attitudes toward a medical information system. Information & Management, 20(2), 119-136.10.1016/0378-7206(91)90049-8Search in Google Scholar

Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice-HallBanduraA. (1986). Social foundations of thought and action. Englewood Cliffs, NJ: Prentice-HallSearch in Google Scholar

Barley, S. R. (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.BarleyS. R. (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), 78-108.10.2307/2392767Search in Google Scholar

Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). Ucinet for Windows: Software for social network analysis.BorgattiS. P.EverettM. G., & FreemanL. C. (2002). Ucinet for Windows: Software for social network analysis.Search in Google Scholar

Borgatti, S. P., & Foster, P. C. (2003). The network paradigm in organizational research: A review and typology. Journal of management, 29(6), 991-1013.BorgattiS. P., & FosterP. C. (2003). The network paradigm in organizational research: A review and typology. Journal of management, 29(6), 991-1013.10.1016/S0149-2063(03)00087-4Search in Google Scholar

Buntin, M. B., Burke, M. F., Hoaglin, M. C., & Blumenthal, D. (2011). The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Affairs, 30(3), 464-471.BuntinM. B.BurkeM. F.HoaglinM. C., & BlumenthalD. (2011). The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Affairs, 30(3), 464-471.10.1377/hlthaff.2011.0178Search in Google Scholar

Burger, M. J., & Buskens, V. (2009). Social context and network formation: An experimental study. Social networks, 31(1), 63-75.BurgerM. J., & BuskensV. (2009). Social context and network formation: An experimental study. Social networks, 31(1), 63-75.10.1016/j.socnet.2008.10.001Search in Google Scholar

Burk, W. J., Steglich, C. E., & Snijders, T. A. (2007). Beyond dyadic interdependence: Actor-oriented models for co-evolving social networks and individual behaviors. International journal of behavioral development, 31(4), 397-404.BurkW. J.SteglichC. E., & SnijdersT. A. (2007). Beyond dyadic interdependence: Actor-oriented models for co-evolving social networks and individual behaviors. International journal of behavioral development, 31(4), 397-404.10.1177/0165025407077762Search in Google Scholar

Burkhardt, M. E., & Brass, D. J. (1990). Changing patterns or patterns of change: The effects of a change in technology on social network structure and power. Administrative science quarterly, 35(1), 104-127.BurkhardtM. E., & BrassD. J. (1990). Changing patterns or patterns of change: The effects of a change in technology on social network structure and power. Administrative science quarterly, 35(1), 104-127.10.2307/2393552Search in Google Scholar

Burt, R. S. (2000). Decay functions. Social networks, 22(1), 1-28.BurtR. S. (2000). Decay functions. Social networks, 22(1), 1-28.10.1016/S0378-8733(99)00015-5Search in Google Scholar

Butts, C. (1998). A Bayesian model of panic in belief. Computational & Mathematical Organization Theory, 4(4), 373-404.ButtsC. (1998). A Bayesian model of panic in belief. Computational & Mathematical Organization Theory, 4(4), 373-404.10.1023/A:1009638514137Search in Google Scholar

Cannella, A. A., & McFadyen, M. A. (2013). Changing the exchange the dynamics of knowledge worker ego networks. Journal of management, 0149206313511114.CannellaA. A., & McFadyenM. A. (2013). Changing the exchange the dynamics of knowledge worker ego networks. Journal of management, 0149206313511114.Search in Google Scholar

Carayon, P., Cartmill, R., Blosky, M. A., Brown, R., Hackenberg, M., Hoonakker, P., … Walker, J. M. (2011). ICU nurses’ acceptance of electronic health records. Journal of the American Medical Informatics Association, 18(6), 812-819.CarayonP.CartmillR.BloskyM. A.BrownR.HackenbergM.HoonakkerP., … WalkerJ. M. (2011). ICU nurses’ acceptance of electronic health records. Journal of the American Medical Informatics Association, 18(6), 812-819.10.1136/amiajnl-2010-000018Search in Google Scholar

Contractor, N. S., Seibold, D. R., & Heller, M. A. (1996). Interactional influence in the structuring of media use in groups: Influence in members’ perceptions of group decision support system use. Human Communication Research, 22(4), 451-481.ContractorN. S.SeiboldD. R., & HellerM. A. (1996). Interactional influence in the structuring of media use in groups: Influence in members’ perceptions of group decision support system use. Human Communication Research, 22(4), 451-481.10.1111/j.1468-2958.1996.tb00375.xSearch in Google Scholar

Cross, R., Parker, A., Prusak, L., & Borgatti, S. P. (2001). Knowing what we know:: Supporting knowledge creation and sharing in social networks. Organizational dynamics, 30(2), 100-120.CrossR.ParkerA.PrusakL., & BorgattiS. P. (2001). Knowing what we know:: Supporting knowledge creation and sharing in social networks. Organizational dynamics, 30(2), 100-120.10.1016/S0090-2616(01)00046-8Search in Google Scholar

Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies, 38(3), 475-487.DavisF. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies, 38(3), 475-487.10.1006/imms.1993.1022Search in Google Scholar

Gargiulo, M., & Benassi, M. (2000). Trapped in your own net? Network cohesion, structural holes, and the adaptation of social capital. Organization Science, 11(2), 183-196.GargiuloM., & BenassiM. (2000). Trapped in your own net? Network cohesion, structural holes, and the adaptation of social capital. Organization Science, 11(2), 183-196.10.1287/orsc.11.2.183.12514Search in Google Scholar

Granovetter, M. S. (1973). The strength of weak ties. American journal of Sociology, 78(6), 1360-1380.GranovetterM. S. (1973). The strength of weak ties. American journal of Sociology, 78(6), 1360-1380.10.1086/225469Search in Google Scholar

Heeks, R. (2006). Health information systems: Failure, success and improvisation. International Journal of Medical Informatics, 75(2), 125-137.HeeksR. (2006). Health information systems: Failure, success and improvisation. International Journal of Medical Informatics, 75(2), 125-137.10.1016/j.ijmedinf.2005.07.024Search in Google Scholar

Hersh, W. (2004). Health care information technology: progress and barriers. Jama, 292(18), 2273-2274.HershW. (2004). Health care information technology: progress and barriers. Jama, 292(18), 2273-2274.10.1001/jama.292.18.2273Search in Google Scholar

Ibarra, H., & Andrews, S. B. (1993). Power, social influence, and sense making: Effects of network centrality and proximity on employee perceptions. Administrative science quarterly, 38(2), 277-303.IbarraH., & AndrewsS. B. (1993). Power, social influence, and sense making: Effects of network centrality and proximity on employee perceptions. Administrative science quarterly, 38(2), 277-303.10.2307/2393414Search in Google Scholar

Kandel, D. B. (1978). Homophily, selection, and socialization in adolescent friendships. American journal of Sociology, 84(2), 427-436.KandelD. B. (1978). Homophily, selection, and socialization in adolescent friendships. American journal of Sociology, 84(2), 427-436.10.1086/226792Search in Google Scholar

Kelman, H. C. (2006). Interests, relationships, identities: Three central issues for individuals and groups in negotiating their social environment. Annu. Rev. Psychol., 57, 1-26.KelmanH. C. (2006). Interests, relationships, identities: Three central issues for individuals and groups in negotiating their social environment. Annu. Rev. Psychol., 57, 1-26.10.1146/annurev.psych.57.102904.190156Search in Google Scholar

Kimberly, J. R., & Evanisko, M. J. (1981). Organizational innovation: The influence of individual, organizational, and contextual factors on hospital adoption of technological and administrative innovations. Academy of Management Journal, 24(4), 689-713.KimberlyJ. R., & EvaniskoM. J. (1981). Organizational innovation: The influence of individual, organizational, and contextual factors on hospital adoption of technological and administrative innovations. Academy of Management Journal, 24(4), 689-713.10.2307/256170Search in Google Scholar

Klein, K. J., & Sorra, J. S. (1996). The challenge of innovation implementation. Academy of management review, 21(4), 1055-1080.KleinK. J., & SorraJ. S. (1996). The challenge of innovation implementation. Academy of management review, 21(4), 1055-1080.10.5465/amr.1996.9704071863Search in Google Scholar

Kossinets, G., & Watts, D. J. (2006). Empirical analysis of an evolving social network. Science, 311(5757), 88-90.KossinetsG., & WattsD. J. (2006). Empirical analysis of an evolving social network. Science, 311(5757), 88-90.10.1126/science.1116869Search in Google Scholar

Kossinets, G., & Watts, D. J. (2009). Origins of homophily in an evolving social network. American journal of Sociology, 115(2), 405-450.KossinetsG., & WattsD. J. (2009). Origins of homophily in an evolving social network. American journal of Sociology, 115(2), 405-450.10.1086/599247Search in Google Scholar

Krackhardt, D. (1992). The strength of strong ties: The importance of philos in organizations. In N. Nohria & R. Eccles (Eds.), Networks and organizations: Structure, form, and action (pp. 216-239). Boston: Harvard Business School Press.KrackhardtD. (1992). The strength of strong ties: The importance of philos in organizations. In N.Nohria & R.Eccles (Eds.), Networks and organizations: Structure, form, and action (pp. 216-239). Boston: Harvard Business School Press.Search in Google Scholar

Kristman, V., Manno, M., & Côté, P. (2004). Loss to follow-up in cohort studies: how much is too much? European journal of epidemiology, 19(8), 751-760.KristmanV.MannoM., & CôtéP. (2004). Loss to follow-up in cohort studies: how much is too much?European journal of epidemiology, 19(8), 751-760.10.1023/B:EJEP.0000036568.02655.f8Search in Google Scholar

Lee, T.-T., Mills, M. E., Bausell, B., & Lu, M.-H. (2008). Two-stage evaluation of the impact of a nursing information system in Taiwan. International Journal of Medical Informatics, 77(10), 698-707.LeeT.-T.MillsM. E.BausellB., & LuM.-H. (2008). Two-stage evaluation of the impact of a nursing information system in Taiwan. International Journal of Medical Informatics, 77(10), 698-707.10.1016/j.ijmedinf.2008.03.004Search in Google Scholar

Leenders, R. T. A. (1996). Evolution of friendship and best friendship choices. Journal of Mathematical Sociology, 21(1-2), 133-148.LeendersR. T. A. (1996). Evolution of friendship and best friendship choices. Journal of Mathematical Sociology, 21(1-2), 133-148.10.1080/0022250X.1996.9990177Search in Google Scholar

Leonardi, P. M. (2013). When does technology use enable network change in organizations? A comparative study of feature use and shared affordances. MIS Quarterly, 37(3), 749-775.LeonardiP. M. (2013). When does technology use enable network change in organizations? A comparative study of feature use and shared affordances. MIS Quarterly, 37(3), 749-775.10.25300/MISQ/2013/37.3.04Search in Google Scholar

Locock, L., Dopson, S., Chambers, D., & Gabbay, J. (2001). Understanding the role of opinion leaders in improving clinical effectiveness. Social science & medicine, 53(6), 745-757.LocockL.DopsonS.ChambersD., & GabbayJ. (2001). Understanding the role of opinion leaders in improving clinical effectiveness. Social science & medicine, 53(6), 745-757.10.1016/S0277-9536(00)00387-7Search in Google Scholar

Marsden, P. V. (2005). Recent developments in network measurement. In P. Carrington, J. Scott, & S. Wasserman (Eds.), Models and methods in social network analysis (pp. 8-30). New York: Cambridge University Press.MarsdenP. V. (2005). Recent developments in network measurement. In P.CarringtonJ.Scott, & S.Wasserman (Eds.), Models and methods in social network analysis (pp. 8-30). New York: Cambridge University Press.Search in Google Scholar

Marsden, P. V., & Friedkin, N. E. (1993). Network studies of social influence. Sociological Methods & Research, 22(1), 127-151.MarsdenP. V., & FriedkinN. E. (1993). Network studies of social influence. Sociological Methods & Research, 22(1), 127-151.10.1177/0049124193022001006Search in Google Scholar

Mascia, D., & Cicchetti, A. (2011). Physician social capital and the reported adoption of evidence-based medicine: Exploring the role of structural holes. Social Science & Medicine, 72(5), 798-805.MasciaD., & CicchettiA. (2011). Physician social capital and the reported adoption of evidence-based medicine: Exploring the role of structural holes. Social Science & Medicine, 72(5), 798-805.10.1016/j.socscimed.2010.12.011Search in Google Scholar

Massaro, T. A. (1993). Introducing physician order entry at a major academic medical center: I. Impact on organizational culture and behavior. Academic Medicine, 68(1), 20-25.MassaroT. A. (1993). Introducing physician order entry at a major academic medical center: I. Impact on organizational culture and behavior. Academic Medicine, 68(1), 20-25.10.1097/00001888-199301000-00003Search in Google Scholar

McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual review of sociology, 27, 415-444.McPhersonM.Smith-LovinL., & CookJ. M. (2001). Birds of a feather: Homophily in social networks. Annual review of sociology, 27, 415-444.10.1146/annurev.soc.27.1.415Search in Google Scholar

Moody, J. (1999). The structure of adolescent social relations: modeling friendship in dynamic social settings. (Ph.D. Dissertation), University of North Carolina at Chapel Hill,MoodyJ. (1999). The structure of adolescent social relations: modeling friendship in dynamic social settings. (Ph.D. Dissertation), University of North Carolina at Chapel Hill,Search in Google Scholar

Nanda, R., & Sørensen, J. B. (2010). Workplace peers and entrepreneurship. Management Science, 56(7), 1116-1126.NandaR., & SørensenJ. B. (2010). Workplace peers and entrepreneurship. Management Science, 56(7), 1116-1126.10.1287/mnsc.1100.1179Search in Google Scholar

Newman, M. (2010). Networks: An Introduction. Oxford: Oxford University Press.NewmanM. (2010). Networks: An Introduction. Oxford: Oxford University Press.10.1093/acprof:oso/9780199206650.001.0001Search in Google Scholar

Rice, R. E., & Aydin, C. (1991). Attitudes toward new organizational technology: Network proximity as a mechanism for social information processing. Administrative science quarterly, 36(2), 219-244.RiceR. E., & AydinC. (1991). Attitudes toward new organizational technology: Network proximity as a mechanism for social information processing. Administrative science quarterly, 36(2), 219-244.10.2307/2393354Search in Google Scholar

Rogers, E. M. (1995). Diffusion of Innovations. New York: Free Press.RogersE. M. (1995). Diffusion of Innovations. New York: Free Press.Search in Google Scholar

Saint-Charles, J., & Mongeau, P. (2009). Different relationships for coping with ambiguity and uncertainty in organizations. Social networks, 31(1), 33-39.Saint-CharlesJ., & MongeauP. (2009). Different relationships for coping with ambiguity and uncertainty in organizations. Social networks, 31(1), 33-39.10.1016/j.socnet.2008.09.001Search in Google Scholar

Salancik, G. R., & Pfeffer, J. (1978). A social information processing approach to job attitudes and task design. Administrative science quarterly, 23(2), 224-253.SalancikG. R., & PfefferJ. (1978). A social information processing approach to job attitudes and task design. Administrative science quarterly, 23(2), 224-253.10.2307/2392563Search in Google Scholar

Sasovova, Z., Mehra, A., Borgatti, S. P., & Schippers, M. C. (2010). Network churn: The effects of self-monitoring personality on brokerage dynamics. Administrative science quarterly, 55(4), 639-670.SasovovaZ.MehraA.BorgattiS. P., & SchippersM. C. (2010). Network churn: The effects of self-monitoring personality on brokerage dynamics. Administrative science quarterly, 55(4), 639-670.10.2189/asqu.2010.55.4.639Search in Google Scholar

Schmitz, J., & Fulk, J. (1991). Organizational colleagues, media richness, and electronic mail a test of the social influence model of technology use. Communication research, 18(4), 487-523.SchmitzJ., & FulkJ. (1991). Organizational colleagues, media richness, and electronic mail a test of the social influence model of technology use. Communication research, 18(4), 487-523.10.1177/009365091018004003Search in Google Scholar

Smith, K., Smith, V., Krugman, M., & Oman, K. (2005). Evaluating the impact of computerized clinical documentation. Computers Informatics Nursing, 23(3), 132-138.SmithK.SmithV.KrugmanM., & OmanK. (2005). Evaluating the impact of computerized clinical documentation. Computers Informatics Nursing, 23(3), 132-138.10.1097/00024665-200505000-00008Search in Google Scholar

Snijders, T., Steglich, C., & Schweinberger, M. (2006). Modeling the coevolution of networks and behavior. In K. van Montfort, J. Oud, & A. Satorra (Eds.), Longitudinal Models in the Behavioral and Related Sciences (pp. 41-72). London: Routledge Academic.SnijdersT.SteglichC., & SchweinbergerM. (2006). Modeling the coevolution of networks and behavior. In K.van MontfortJ.Oud, & A.Satorra (Eds.), Longitudinal Models in the Behavioral and Related Sciences (pp. 41-72). London: Routledge Academic.Search in Google Scholar

Srivastava, S. B. (2015). Intraorganizational network dynamics in times of ambiguity. Organization Science, 26(5), 1365-1380.SrivastavaS. B. (2015). Intraorganizational network dynamics in times of ambiguity. Organization Science, 26(5), 1365-1380.10.1287/orsc.2015.0999Search in Google Scholar

Steglich, C., Snijders, T. A., & Pearson, M. (2010). Dynamic networks and behavior: Separating selection from influence. Sociological methodology, 40(1), 329-393.SteglichC.SnijdersT. A., & PearsonM. (2010). Dynamic networks and behavior: Separating selection from influence. Sociological methodology, 40(1), 329-393.10.1111/j.1467-9531.2010.01225.xSearch in Google Scholar

Sykes, T. A., Venkatesh, V., & Rai, A. (2011). Explaining physicians’ use of EMR systems and performance in the shakedown phase. Journal of the American Medical Informatics Association, 18(2), 125-130.SykesT. A.VenkateshV., & RaiA. (2011). Explaining physicians’ use of EMR systems and performance in the shakedown phase. Journal of the American Medical Informatics Association, 18(2), 125-130.10.1136/jamia.2010.009316Search in Google Scholar

Valente, T. W. (2012). Network interventions. Science, 337(6090), 49-53.ValenteT. W. (2012). Network interventions. Science, 337(6090), 49-53.10.1126/science.1217330Search in Google Scholar

Van de Bunt, G. G., Van Duijn, M. A., & Snijders, T. A. (1999). Friendship networks through time: An actor-oriented dynamic statistical network model. Computational & Mathematical Organization Theory, 5(2), 167-192.Van de BuntG. G.Van DuijnM. A., & SnijdersT. A. (1999). Friendship networks through time: An actor-oriented dynamic statistical network model. Computational & Mathematical Organization Theory, 5(2), 167-192.10.1023/A:1009683123448Search in Google Scholar

Venkatesh, V. (1999). Creation of favorable user perceptions: exploring the role of intrinsic motivation. MIS Quarterly, 23(2), 239-260.VenkateshV. (1999). Creation of favorable user perceptions: exploring the role of intrinsic motivation. MIS Quarterly, 23(2), 239-260.10.2307/249753Search in Google Scholar

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.VenkateshV., & DavisF. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.10.1287/mnsc.46.2.186.11926Search in Google Scholar

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.VenkateshV.MorrisM. G.DavisG. B., & DavisF. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.10.2307/30036540Search in Google Scholar

Venkatesh, V., Zhang, X., & Sykes, T. A. (2011). “Doctors do too little technology”: A longitudinal field study of an electronic healthcare system implementation. Information Systems Research, 22(3), 523-546.VenkateshV.ZhangX., & SykesT. A. (2011). “Doctors do too little technology”: A longitudinal field study of an electronic healthcare system implementation. Information Systems Research, 22(3), 523-546.10.1287/isre.1110.0383Search in Google Scholar

Vissa, B. (2011). A matching theory of entrepreneurs’ tie formation intentions and initiation of economic exchange. Academy of Management Journal, 54(1), 137-158.VissaB. (2011). A matching theory of entrepreneurs’ tie formation intentions and initiation of economic exchange. Academy of Management Journal, 54(1), 137-158.10.5465/amj.2011.59215084Search in Google Scholar

Vissa, B., & Bhagavatula, S. (2012). The causes and consequences of churn in entrepreneurs’ personal networks. Strategic Entrepreneurship Journal, 6(3), 273-289.VissaB., & BhagavatulaS. (2012). The causes and consequences of churn in entrepreneurs’ personal networks. Strategic Entrepreneurship Journal, 6(3), 273-289.10.1002/sej.1138Search in Google Scholar

Vogelsmeier, A. A., Halbesleben, J. R., & Scott-Cawiezell, J. R. (2008). Technology implementation and workarounds in the nursing home. Journal of the American Medical Informatics Association, 15(1), 114-119.VogelsmeierA. A.HalbeslebenJ. R., & Scott-CawiezellJ. R. (2008). Technology implementation and workarounds in the nursing home. Journal of the American Medical Informatics Association, 15(1), 114-119.10.1197/jamia.M2378Search in Google Scholar

Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge, England: Cambridge University Press.WassermanS., & FaustK. (1994). Social network analysis: Methods and applications. Cambridge, England: Cambridge University Press.10.1017/CBO9780511815478Search in Google Scholar

Wears, R. L., & Berg, M. (2005). Computer technology and clinical work: still waiting for Godot. Jama, 293(10), 1261-1263.WearsR. L., & BergM. (2005). Computer technology and clinical work: still waiting for Godot. Jama, 293(10), 1261-1263.10.1001/jama.293.10.1261Search in Google Scholar

Weick, K. E. (1995). Sensemaking in Organizations. Thousand Oaks, CA: Sage Publications.WeickK. E. (1995). Sensemaking in Organizations. Thousand Oaks, CA: Sage Publications.Search in Google Scholar

White, H. (1982). Maximum likelihood estimation of misspecified models. Econometrica: Journal of the Econometric Society, 1-25.WhiteH. (1982). Maximum likelihood estimation of misspecified models. Econometrica: Journal of the Econometric Society, 1-25.10.2307/1912526Search in Google Scholar

Wooldridge, J. (2009). Introductory econometrics: A modern approach. Mason, OH: Cengage Learning.WooldridgeJ. (2009). Introductory econometrics: A modern approach. Mason, OH: Cengage Learning.Search in Google Scholar

eISSN:
1529-1227
Langue:
Anglais
Périodicité:
Volume Open
Sujets de la revue:
Social Sciences, other