“Doctors Do Too Little Technology”: A Longitudinal Field Study of an Electronic Healthcare System Implementation

Published Online:https://doi.org/10.1287/isre.1110.0383

References

  • Ahuja M. K., Galletta D. F., Carley K. M. Individual centrality and performance in virtual R&D groups: An empirical study. Management Sci. (2003) 49(1):21–38LinkGoogle Scholar
  • Aiken L. S., West S. G.Multiple Regression: Testing and Interpreting Interactions (1991) (Sage, London) Google Scholar
  • American Physical Therapy AssociationPatient Satisfaction Instruments: A Compendium (1995) (American Physical Therapy Association, Alexandria, VA) Google Scholar
  • Anderson J. G. Clearing the way for physician's use of clinical information systems. Comm. ACM. (1997) 40(8):83–90CrossrefGoogle Scholar
  • Barley S. R. Technology as an occasion for structuring: Evidence from observation of CT scanners and the social order of radiology departments. Admin. Sci. Quart. (1986) 31(1):78–108CrossrefGoogle Scholar
  • Bhattacherjee A., Hikmet N. Physicians' resistance toward healthcare information technology: A theoretical model and empirical test. Eur. J. Inform. Systems (2007) 16(6):725–737CrossrefGoogle Scholar
  • Black L. J., Carlile P. R., Nelson P. R. A dynamic theory of expertise and occupational boundaries in new technology implementation: Building on Barley's study of CT scanning. Admin. Sci. Quart. (2004) 49(4):572–607Google Scholar
  • Blumenthal D. The vital role of professionalism in health care reform. Health Affairs (1994) 13(1):252–256CrossrefGoogle Scholar
  • Bodenheimer T. The American health care system: The movement for improved quality in health care. New England J. Medicine (1999) 340(6):584–588CrossrefGoogle Scholar
  • Bolino M. C., Turnley W. H., Bloodgood J. M. Citizenship behavior and creation of social capital in organizations. Acad. Management Rev. (2002) 27(4):505–522CrossrefGoogle Scholar
  • Borgatti S. P. Centrality and network flow. Soc. Networks (2005) 27(1):55–71CrossrefGoogle Scholar
  • Borgatti S. P., Cross R. A relational view of information seeking and learning in social networks. Management Sci. (2003) 49(4):432–445LinkGoogle Scholar
  • Borgatti S. P., Foster P. C. The network paradigm in organizational research: A review and typology. J. Management (2003) 29(6):991–1013Google Scholar
  • Borgatti S. P., Everett M., Freeman L.UCINET 6 for Windows: Software for Social Network Analysis (2002) (Analytic Technologies, Inc., Natick, MA) Google Scholar
  • Brass D. J. Being in the right place: A structural analysis of individual influence in an organization. Admin. Sci. Quart. (1984) 29(4):518–539CrossrefGoogle Scholar
  • Brass D. J., Labianca G.Social Capital, the Social Ledger, and Social Resources Management (1999) (Kluwer Academic, Dordrecht, The Netherlands) Google Scholar
  • Burkhardt M. E., Brass D. J. Changing patterns or patterns of change: The effects of a change in technology on social network structure and power. Admin. Sci. Quart. (1990) 35(1):104–127CrossrefGoogle Scholar
  • Chiasson M., Davidson E. Pushing the contextual envelope: Developing and diffusing IS theory for health information systems research. Inform. Organ. (2004) 14(3):155–183CrossrefGoogle Scholar
  • Chiasson M., Davidson E. Taking industry seriously in IS research. MIS Quart. (2005) 29(4):599–606CrossrefGoogle Scholar
  • Cross R., Cummings J. N. Tie and network correlates of individual performance in knowledge-intensive work. Acad. Management J. (2004) 47(6):928–937CrossrefGoogle Scholar
  • Currie W. L., Guah M. A national program for IT in the organisational field of healthcare: An example of conflicting institutional logics. J. Inform. Tech. (2007) 22(3):235–248CrossrefGoogle Scholar
  • Davidson E. Analyzing genre of organizational communication in clinical information systems. Inform., Tech., People (2000) 13(3):196–209CrossrefGoogle Scholar
  • Davidson E., Chiasson M. Contextual influences on technology use mediation: A comparative analysis of electronic medical record systems. Eur. J. Inform. Systems (2005) 14(1):6–18CrossrefGoogle Scholar
  • Davidson E., Chismar W. The interaction of institutionally triggered and technology-triggered social structure change: An investigation of computerized physician order entry (CPOE). MIS Quart. (2007) 30(4):739–758CrossrefGoogle Scholar
  • DeLone W. H., McLean E. R. The DeLone and McLean model of information systems success: A ten-year update. J. Management Inform. Systems (2003) 19(4):9–30CrossrefGoogle Scholar
  • Devaraj S., Kohli R. Information technology payoff in the healthcare industry: A longitudinal study. J. Management Inform. System (2000) 16(4):39–64CrossrefGoogle Scholar
  • Doolin B. Power and resistance in the implementation of a medical management information system. Inform. Systems Res. (2004) 14(4):343–362CrossrefGoogle Scholar
  • Erickson B., Berkowitz S. D., Wellman B. The relational basis of attitudes. Social Structures: A Network Approach (1988) (Cambridge University Press, Cambridge, UK) 99–121Google Scholar
  • Ferris G. R., Judge T. A., Rowland K. M., Fitzgibbons D. E. Subordinate influence and the performance evaluation process: Test of a model. Organ. Behav. Human Decision Processes (1994) 58(1):101–135CrossrefGoogle Scholar
  • Fornell C., Larcker D. F. Evaluating structural equation models with unobservable variables and measurement error. J. Marketing Res. (1981) 18(1):39–50CrossrefGoogle Scholar
  • Freidson E. The reorganization of the medical profession. Medical Care Rev. (1985) 42(1):11–35CrossrefGoogle Scholar
  • Freidson E., Mackay L., Soothill K., Melia K. Profession of medicine: A study of the sociology of applied knowledge. Classic Texts in Health Care (1988) (Butterworth-Heinemann, Oxford, UK) 170–174Google Scholar
  • Gargiulo M., Benassi M., Gabbay S., Leenders R. The dark side of social capital. Social Capital and Liability (1999) (Kluwer, Norwell, MA) 298–322CrossrefGoogle Scholar
  • Greenwood R., Hinings C. Understanding radical organizational change: Bringing together the old and the new institutionalism. Acad. Management Rev. (1996) 21(4):1022–1054CrossrefGoogle Scholar
  • Hays R. D., Davies A. R., Ware J. E.Scoring the Medical Outcomes Study Patient Satisfaction Questionnaire: PSQ III (1987) (MOS Memorandum, Rand Corporation, Santa Monica, CA) Google Scholar
  • Hillestad R., Bigelow J., Bower A., Girosi F., Meili R., Scoville R., Taylor R. Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Affairs (2005) 24(5):1103–1117CrossrefGoogle Scholar
  • Hoff T. J. Exploring dual commitment among physician executives in managed care. J. Healthcare Management (2001) 46(2):91–111CrossrefGoogle Scholar
  • Janssen O. Fairness perceptions as a moderator in the curvilinear relationships between job demands, and job performance and job satisfaction. Acad. Management J. (2001) 44(5):1039–1050CrossrefGoogle Scholar
  • Jensen T. B., Aanestad M. How healthcare professionals “make sense” of an electronic patient record adoption. Inform. Systems Management (2007) 24(1):29–42CrossrefGoogle Scholar
  • Johns G. The essential impact of context on organizational behavior. Acad. Management Rev. (2006) 31(2):386–408CrossrefGoogle Scholar
  • Johnson S. B., Bakken S., Din D., Hyun S., Mendonca E., Morrison F., Bright T., Van Vleck T., Wrenn J., Stetson P. An electronic health record based on structured narrative. J. Amer. Medical Informatics Assoc. (2008) 15(1):54–64CrossrefGoogle Scholar
  • Joreskog K., Sorbom D.LISREL8: User's Reference Guide (1996) (Scientific Software International, Inc., Chicago) Google Scholar
  • Kane G. C., Alavi M. Casting the net: A multimodal network perspective on user-system interactions. Inform. Systems Res. (2008) 19(3):253–272LinkGoogle Scholar
  • Kaplan B., Chiasson M., Reddy M., Davidson E. Learning by crossing disciplinary boundaries: What does information systems research offer medical informatics? Internat. J. Medical Informatics (2007) 76(1):S89–S97Google Scholar
  • Kim K. K., Michelman J. E. An examination of factors for the strategic use of information systems in the healthcare industry. MIS Quart. (1990) 14(1):201–215CrossrefGoogle Scholar
  • Klein R. An empirical examination of patient portal acceptance. Eur. J. Inform. Systems (2007) 16(6):751–760CrossrefGoogle Scholar
  • Kohli R., Piontek F., Burstein F., Holsapple C. W. DSS in healthcare: Advances and opportunities. Handbook on Decision Support Systems 2 (2007) (Springer, Berlin) 483–497Google Scholar
  • Krackhardt D., Stern R. N. Informal networks and organizational Crises: An experimental simulation. Social Psych. Quart. (1988) 51(2):123–140CrossrefGoogle Scholar
  • Labianca G., Brass D. Exploring the social ledger: Negative relationships and negative asymmetry in social network in organizations. Acad. Management Rev. (2006) 31(3):596–614CrossrefGoogle Scholar
  • Labianca G., Gray B., Brass D. A grounded model of organizational schema change during empowerment. Organ. Sci. (2000) 11(2):235–257LinkGoogle Scholar
  • Lee F. When the going gets tough, do the tough ask for help? Help seeking and power motivation in organizations. Organ. Behav. Human Decision Processes (1997) 72(3):336–363CrossrefGoogle Scholar
  • Lin N., Lin N., Cook K., Burt R. S. Building a network theory of social capital. Social Capital Theory and Research (2001) (Aldine Transaction, Piscataway, NJ) 3–29CrossrefGoogle Scholar
  • Loewenstein G., Small D. A. The scarecrow and the tin man: The vicissitudes of human sympathy and caring. Rev. General Psych. (2007) 11(2):112–126CrossrefGoogle Scholar
  • Malvey M.Simple Systems, Complex Environments (1981) (Sage, Beverly Hills, CA) Google Scholar
  • Marquis M. S., Davies A. R., Ware J. E. Patient satisfaction and change in medical care provider: A longitudinal study. Medical Care (1983) 21(8):821–829CrossrefGoogle Scholar
  • Matheny M. E., Gandhi T. K., Orav J., Ladak-Merchant Z., Bates D. W., Kuperman G. J., Poon E. G. Impact of an automated test results management system on patients' satisfaction about test result communication. Arch. Internal Medicine (2007) 167(20):2233–2239CrossrefGoogle Scholar
  • McCarty C., Molina J. L., Lubbers M., Lerner J. Using the EI index with personal network structural data as a measure of acculturation. Proc. XXVII Internat. Sunbelt Soc. Network Conf. (2007) Corfu, Greece http://revista-redes.rediris.es/recerca/Egoredes/rsearch/E-I%20Index%20April%2026.pdfGoogle Scholar
  • Melia K. M., Mackay L., Soothill K., Melia K. Learning and working: The occupational socialization of nurses. Classic Texts in Health Care (1987) (Butterworth-Heinemann, Oxford, UK) 154–159Google Scholar
  • Morris M. G., Venkatesh V. Job characteristics and job satisfaction: Understanding the role of enterprise resource planning system implementation. MIS Quart. (2010) 34(1):143–161CrossrefGoogle Scholar
  • O'Brien T. CDC says less than 40% of doctors use electronic records. (2008) . CDC Report. Accessed February 10, 2009, http://www.switched.com/2008/12/14/cdc-says-less-than-40-of-doctors-use-electronic-records/Google Scholar
  • Ostrom A., Iacobucci D. Consumer trade-offs and the evaluation of services. J. Marketing (1995) 59(1):17–28CrossrefGoogle Scholar
  • Overtveit J., Scott T., Rundall T. G., Shortell S. M., Brommels M. Improving quality through effective implementation of information technology in healthcare. Internat. J. Quality Health Care (2007) 19(5):259–266CrossrefGoogle Scholar
  • Pisano G., Bohmer R., Edmondson A. Organizational differences in rates of learning: Evidence from the adoption of minimally invasive cardiac surgery. Management Sci. (2001) 47(6):752–768LinkGoogle Scholar
  • Portes A. Social capital: Its origins and applications in modern sociology. Annual Rev. Sociol. (1998) 24(1):1–24CrossrefGoogle Scholar
  • Portes A., Landolt P. The downside of social capital. Amer. Prospectives (1996) 26:18–21Google Scholar
  • Pratt M. G., Rockmann K. W., Kaufmann J. B. Constructing professional identity: The role of work and identity learning cycles in the customization of identity among medical residents. Acad. Management J. (2006) 49(2):235–262CrossrefGoogle Scholar
  • PricewaterhouseCoopers Healthcast 2010: Smaller world, bigger expectations. (1999) Google Scholar
  • PricewaterhouseCoopers Healthcast 2020: Creating a sustainable future. (2005) Google Scholar
  • Rai A., Lang S., Welker R. Assessing the validity of IS success models: An empirical test and theoretical analysis. Inform. Systems Res. (2002) 13(1):50–69LinkGoogle Scholar
  • Reardon J., Davidson E. An organizational learning perspective on the assimilation of electronic medical records among small physician practices. Eur. J. Inform. Systems (2007) 16(6):681–694CrossrefGoogle Scholar
  • Scott W. R.Institutions and Organizations (2001) 2nd ed.(Sage Publications, Thousands Oaks, CA) Google Scholar
  • Sparrowe R. T., Liden R. C., Kraimer M. L. Social networks and the performance of individuals and groups. Acad. Management J. (2001) 44(2):316–325CrossrefGoogle Scholar
  • Sykes T. A., Venkatesh V., Gosain S. Model of acceptance with peer support: A social network perspective to understand individual-level system use. MIS Quart. (2009) 33(2):371–393CrossrefGoogle Scholar
  • Valente T. W.Network Models of the Diffusion of Innovation (1995) (Hampton, Cresskill, NJ) Google Scholar
  • Vaughan C., Higgs R. Doctors and commitment. British Medical J. (1995) 311:1654–1655CrossrefGoogle Scholar
  • Venkatesh V., Davis F. D., Morris M. G. Dead or alive? The evolution, trajectory, and future of technology adoption research. J. Assoc. Inform. Systems (2007) 8(4):267–286Google Scholar
  • Venkatesh V., Brown S. A., Maruping L. M., Bala H. Predicting different conceptualizations of system use: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS Quart. (2008) 32(3):483–502CrossrefGoogle Scholar
  • Venkatesh V., Morris M. G., Davis G. B., Davis F. D. User acceptance of information technology: Toward a unified view. MIS Quart. (2003) 27(3):425–478CrossrefGoogle Scholar
  • Ware J. E., Snyder M. K. Dimensions of patient attitudes regarding doctors and medical care services. Medical Care (1975) 13(8):669–682CrossrefGoogle Scholar
  • Ware J. E., Snyder M. K., Wright W. R.Development and Validation of Scales to Measure Patient Satisfaction with Medical Care Services. Vol. I, Part A: Review of Literature, Overview of Methods and Results Regarding Construction of Scales (1976a) (National Technical Information Service, Springfield, VA) Google Scholar
  • Ware J. E., Snyder M. K., Wright W. R.Development and Validation of Scales to Measure Patient Satisfaction with Medical Care Services. Vol. I, Part B: Results Regarding Scales Constructed from the Patient Satisfaction Questionnaire and Measures of Other Health Care Perceptions (1976b) (National Technical Information Service, Springfield, VA) Google Scholar
  • Ware J. E., Snyder M. K., Wright W. R., Davies A. R. Defining and measuring patient satisfaction with medical care. Educ. Program Planning (1983) 6(3–4):247–263CrossrefGoogle Scholar
  • Wasserman S., Faust K.Social Network Analysis: Methods and Applications (1994) (Cambridge University Press, Cambridge, UK) CrossrefGoogle Scholar
  • Zeithaml V. A., Parasuraman A., Berry L. L.Delivering Quality Service (1990) (The Free Press, New York) Google Scholar
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