nach oben

Information Systems Frontiers

Erschienen in:

09.03.2018

Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation

verfasst von: Venugopal Gopalakrishna-Remani, Robert Paul Jones, Kerri M. Camp

Erschienen in: Information Systems Frontiers | Ausgabe 6/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Technology adoption literature generally focuses on behavioral and structural changes necessary for successful adoption. Little explored in that literature is the factors impacting the level of adoption which will be achieved within the organization. This healthcare industry research demonstrates that higher levels of technology adoption in organizations require the influences of both internal absorptive capabilities and external institutional pressures impacting the organization. We surveyed U.S. healthcare employees to assess top management beliefs, top management participation, absorptive capacity, institutional pressures, and level of electronic medical records (EMR) adoption in clinics and hospitals. Our results indicate no direct influence of mimetic and coercive pressures on the level of EMR adoption. Normative and mimetic pressures indirectly influence EMR adoption level through top management participation. Absorptive capacity enhances top management beliefs and participation associated with EMR adoption process, resulting in higher levels of EMR adoption in U.S. hospitals.

Vorheriger Artikel How Data Protection Regulation Affects Startup Innovation

Nächster Artikel An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Nur mit Berechtigung zugänglich

Act, A. (1996). Health insurance portability and accountability act of 1996. Public law, 104, 191.

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423.

Ash, J. S., & Bates, D. W. (2005). Factors and forces affecting EMR system adoption: Report of a 2004 ACMI discussion. Journal of the American Medical Informatics Association, 12(1), 8–12.

Barki, H., & Hartwick, J. (1989). Rethinking the concept of user involvement. MIS Quarterly, 13(1), 53–63.

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182.

Bayer, J., & Melone, N. (1989). A critique of diffusion theory as a managerial framework for understanding the adoption of software engineering innovations. Journal of Systems and Software, 9(2), 161–166.

Becker, J. M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: Guidelines for using reflective-formative type models. Long Range Planning, 45(5), 359–394.

Bharati, P., Zhang, C., & Chaudhury, A. (2014). Social media assimilation in firms: Investigating the roles of absorptive capacity and institutional pressures. Information Systems Frontiers, 16(2), 257–272.

Bharosa, N., Lee, J., & Janssen, M. (2010). Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises. Information Systems Frontiers, 12(1), 49–65.

Black, S. A., & Porter, L. J. (1996). Identification of the critical factors of TQM. Decision Sciences, 27(1), 1–21.

Boonstra, A., & Broekhuis, M. (2010). Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Services Research, 10(1), 231.

Bradley, D. R., Rana, G. K., Martin, P. W., & Schumacher, R. E. (2002). Real-time evidence-based medicine instruction: A randomized controlled trial in a neonatal intensive care unit. Journal of the Medical Library Association, 90(2), 194–201.

Burger, P., & Luckman, T. (1991). The social construction of reality: A treatise in the sociology of knowledge. UK: Penguin.

Burns, G. N., Christiansen, N. D., Morris, M. B., Periard, D. A., & Coaster, J. A. (2014). Effects of applicant personality on resume evaluations. Journal of Business and Psychology, 29(4), 573–591.

Cabell, C. H., Schardt, C., Sanders, L., Corey, G. R., & Keitz, S. A. (2001). Resident utilization of information technology: A randomized trial of clinical question formation. Journal of General Internal Medicine, 16(12), 838–844.

Cash, J. I., McFarlan, F. W., & McKinney, J. L. (1988). Corporate information systems management: The issues facing senior executives. Homewood: Irwin.

Cerveny, R. P., & Sanders, G. L. (1986). Implementation and structural variables. Information Management, 11(4), 191–198.

Cellucci, L. W., Cellucci, T., Stanton, M., Kerrigan, D., & Madrake, M. (2015). Current status and future directions of EMR use in psychology clinics. Health Policy and Technology, 4(2), 91–99.

Cerny, B. A., & Kaiser, H. F. (1977). A study of a measure of sampling adequacy for factor-analytic correlation matrices. Multivariate Behavioral Research, 12(1), 43–47.

Charles, D., Gabriel, M., & Searcy, T. (2015). Adoption of Electronic Health Record Systems among U.S. Non-Federal Acute Care Hospitals: 2008-2014. The Office of the National Coordinator for Health Information Technology Data Brief, 23 https://www.healthit.gov/sites/default/files/data-brief/2014HospitalAdoptionDataBrief.pdf. Accessed 1 March 2016.

Chatterjee, D., Grewal, R., & Sambamurthy, V. (2002). Shaping up for e-commerce: Institutional enablers of the organizational assimilation of web technologies. MIS Quarterly, 26(2), 65–89.

Chwelos, P., Benbasat, I., & Dexter, A. S. (2001). Research report: Empirical test of an EDI adoption model. Information Systems Research., 12(3), 304–321.

Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152.

Colwell, S. R., & Joshi, A. W. (2013). Corporate ecological responsiveness: Antecedent effects of institutional pressure and top management commitment and their impact on organizational performance. Business Strategy and the Environment, 22(2), 73–91.

Covaleski, M. A., Dirsmith, M. W., & Michelman, J. E. (1993). An institutional theory perspective on the DRG framework, case-mix accounting systems and health-care organizations. Accounting, Organizations and Society, 18(1), 65–80.

Craighead, C., Ketchen, D., Dunn, K., & Hult, G. (2011). Addressing common method variance: Guidelines for survey research on information technology, operations, and supply chain management. IEEE Transaction on Engineering Management, 58(3), 578–588.

Crosson, J. C., Stroebel, C., Scott, J. G., Stello, B., & Crabtree, B. F. (2005). Implementing an electronic medical record in a family medicine practice: Communication, decision making, and conflict. Annals of Family Medicine, 3(4), 307–311.

Curran, P. G. (2016). Methods for the detection of carelessly invalid responses in survey data. Journal of Experimental Social Psychology, 66, 4–19.

Currie, W. (2009). Contextualizing the IT artefact: Towards a wider research agenda for IS using institutional theory. Information Technology & People, 22(1), 63–77.

Daft, R. L., & Weick, K. E. (1984). Toward a model of organizations as interpretation systems. Academy of Management Review, 9(2), 284–295.

Davenport, T. H. (1998). Putting the enterprise into the enterprise system. Harvard Business Review, 76(4), 121–131.

DeLone, W. H. (1988). Determinants of success for computer usage in small business. MIS Quarterly, 12(1), 51–61.

DeVaujany, F. X., Carton, S., Mitev, N., & Romeyer, C. (2014). Applying and theorizing institutional frameworks in IS research: A systematic analysis from 1999 to 2009. Information Technology & People., 27(3), 280–317.

Dillon, W. R., & Goldstein, M. (1984). Multivariate analysis: Methods and applications. New York: Wiley.

DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147–160.

Doll, W. J. (1985). Avenues for top management involvement in successful MIS development. MIS Quarterly, 9(1), 17–35.

Doolan, D. F., & Bates, D. W. (2002). Computerized physician order entry systems in hospitals: Mandates and incentives. Health Affairs, 21(4), 180–188.

Dranove, D., Garthwaite, C., Li, B., & Ody, C. (2015). Investment subsidies and the adoption of electronic medical records in hospitals. Journal of Health Economics, 44, 309–319.

Droege, S., Lane, M., & Spiller, S. (2011). Intersecting three muddy roads: Stability, legitimacy, and change. Journal of Managerial Issues, 23(1), 96–112.

Dwivedi, Y. K., Wastell, D., & Henriksen, H. Z. (2015). Guest editorial: Grand successes and failures in IT: Private and public sectors. Information Systems Frontiers, 17(1), 11–14.

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2017). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 19, 1–16.

Edelman, L. B., & Suchman, M. C. (1997). The legal environments of organizations. Annual Review of Sociology, 23, 479–515.

Elbashir, M. Z., Collier, P. A., & Sutton, S. G. (2011). The role of organizational absorptive capacity in strategic use of business intelligence to support integrated management control systems. The Accounting Review, 86(1), 155–184.

Erickson, S., & Warner, E. R. (1998). The impact of an individual tutorial session on MEDLINE use among obstetrics and gynaecology residents in an academic training programme: A randomized trial. Medical Education, 32, 269–273.

Fang, F., Parameswaran, M., Zhao, X., & Whinston, A. B. (2014). An economic mechanism to manage operational security risks for inter-organizational information systems. Information Systems Frontiers, 16(3), 399–416.

Fligstein, N. (1985). The spread of the multidivisional form among large firms, 1919-1979. Advances in Strategic Management, 17, 55–78.

Flood, A. B., & Fennell, M. L. (1995). Through the lenses of organizational sociology: The role of organizational theory and research in conceptualizing and examining our health care system. Journal of Health and Social Behavior, 35, 154–169.

Ford, E. W., Menachemi, N., & Phillips, M. T. (2006). Predicting the adoption of electronic health records by physicians: When will health care be paperless? Journal of the American Medical Informatics Association, 13(1), 106–112.

Gagnon, M. P., Desmartis, M., Labrecque, M., Car, J., Pagliari, C., & Pluye, P. (2012). Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals. Journal of Medical Systems, 36(1), 241–277.

Garets, D., & Davis, M. (2006). Electronic Medical Records v. Electronic Health records: Yes, there is a Difference. HIMSS Analytics White Paper. Available at http://www.himss.org/electronic-medical-records-vs-electronic-health-records-yes-there-difference-himss-analytics. Accessed 21 Jan 2017.

Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 1–70.

Grimm, C. M., & Smith, K. G. (1991). Research notes and communications management and organizational change: A note on the railroad industry. Strategic Management Journal, 12(7), 557–562.

Guler, I., Guillén, M. F., & Macpherson, J. M. (2002). Global competition, institutions, and the diffusion of organizational practices: The international spread of ISO 9000 quality certificates. Administrative Science Quarterly, 47(2), 207–232.

Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. Pearson Prentice Hall: Upper Saddle River.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). New Jersey: Pearson Education Inc..

Hart, P., & Saunders, C. (1997). Power and trust: Critical factors in the adoption and use of electronic data interchange. Organization Science, 8(1), 23–42.

Haunschild, P. R., & Miner, A. S. (1997). Modes of interorganizational imitation: The effects of outcome salience and uncertainty. Administrative Science Quarterly, 42(3), 472–500.

Haynes, R. B., Holland, J., Cotoi, C., McKinlay, R. J., Wilczynski, N. L., Walters, L. A., Jedras, D., Parrish, R., McKibbon, K. A., Garg, A., & Walter, S. D. (2006). McMaster PLUS: A cluster randomized clinical trial of an intervention to accelerate clinical use of evidence-based information from digital libraries. Journal of American Medical Informatics Association, 13(6), 593–600.

Heathfield, H., Hudson, P., Kay, S., Mackay, L., Marley, T., Nicholson, L., & Williams, J. (1999). Issues in the multi-disciplinary assessment of healthcare information systems. Information Technology & People, 12(3), 253–275.

Hossain, M. A., Quaddus, M., & Islam, N. (2016). Developing and validating a model explaining the assimilation process of RFID: An empirical study. Information Systems Frontiers, 18(4), 645–663.

Huang, J. L., Curran, P. G., Keeney, J., Poposki, E. M., & DeShon, R. P. (2012). Detecting and deterring insufficient effort responding to surveys. Journal of Business and Psychology, 27(1), 99–114.

Huang, J. L., Liu, M., & Bowling, N. A. (2015). Insufficient effort responding: Examining an insidious confound in survey data. Journal of Applied Psychology, 100(3), 828–845.

Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453.

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.

Hu, Q., Hart, P., & Cooke, D. (2006). The role of external influences on organizational information security practices: An institutional perspective in system sciences, 2006. HICSS'06. Proceedings of the 39th Annual Hawaii International Conference, Koloa, HI, 1–10.

Hu, Q., & Huang, C. D. (2006). The rise and fall of the competitive local exchange carriers in the US: An institutional perspective. Information Systems Frontiers, 8(3), 225–239.

Jackson, S. A., Gopalakrishna-Remani, V., Mishra, R., & Napier, R. (2016). Examining the impact of design for environment and the mediating effect of quality management innovation on firm performance. International Journal of Production Economics, 173, 142–152.

Jarvenpaa, S. L., & Ives, B. (1991). Executive involvement and participation in the management of information technology. MIS Quarterly, 15(2), 205–227.

Kankanhalli, A., Hahn, J., Tan, S., & Gao, G. (2016). Big data and analytics in healthcare: Introduction to the special section. Information Systems Frontiers, 18(2), 233–235.

Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183–213.

Katz, M. L., & Shapiro, C. (1986). Technology adoption in the presence of network externalities. Journal of Political Economy, 94(4), 822–841.

Karsh, B. T. (2004). Beyond usability: Designing effective technology implementation systems to promote patient safety. Quality and Safety in Health Care, 13, 388–394.

Kash, B. A., Spaulding, A., Gamm, L., & Johnson, C. E. (2013). Health care administrators’ perspectives on the role of absorptive capacity for strategic change initiatives: A qualitative study. Health Care Management Review, 38(4), 339–348.

Kim, L. (1998). Crisis construction and organizational learning: Capability building in catching-up at Hyundai motor. Organization Science, 9(4), 506–521.

Kline, R. B. (2010). Principles and practice of structural equation modeling. NY: The Guilford Press.

Koufteros, X., Lu, G., Peters, R. C., Lai, K. H., Wong, C. W., & Cheng, T. E. (2014). Product development practices, manufacturing practices, and performance: A mediational perspective. International Journal of Production Economics, 156, 83–97.

Krassa, M. A. (1988). Social groups, selective perception, and behavioral contagion in public opinion. Social Networks, 10(2), 109–136.

Krishnaraju, V., Mathew, S. K., & Sugumaran, V. (2016). Web personalization for user acceptance of technology: An empirical investigation of E-government services. Information Systems Frontiers, 18(3), 579–595.

Kwon, T. H., & Zmud, R. W. (1987). Unifying the fragmented models of information systems implementation critical issues in information systems research (pp. 227–251). Inc, New York: John Wiley & Sons.

Lai, K. H., Wong, C. W., & Cheng, T. E. (2006). Institutional isomorphism and the adoption of information technology for supply chain management. Computers in Industry, 57(1), 93–98.

Lederer, A. L., & Mendelow, A. L. (1988). Information systems planning: Top management takes control. Business Horizons, 31(3), 73–78.

Lee, D. Y., & Dawes, P. L. (2005). Guanxi, trust, and long-term orientation in Chinese business markets. Journal of International Marketing, 13(2), 28–56.

Lee, J., Lee, H., & Park, J. G. (2014). Exploring the impact of empowering leadership on knowledge sharing, absorptive capacity and team performance in IT service. Information Technology & People, 27(3), 366–386.

Lenox, M., & King, A. (2004). Prospects for developing absorptive capacity through internal information provision. Strategic Management Journal, 25(4), 331–345.

Lenox, M., King, A., & Ehrenfeld, J. (2000). An assessment of design-for-environment practices in leading U.S. electronics firms. Interfaces, 30(3), 83–94.

Leonard-Barton, D., & Deschamps, I. (1988). Managerial influence in the implementation of new technology. Management Science, 34(10), 1252–1265.

Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. MIS Quarterly, 27(4), 657–678.

Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: The effect of institutional pressures and the mediating role of top management. MIS Quarterly, 31(1), 59–87.

Lowry, P. B., & Gaskin, J. (2014). Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it. IEEE Transactions on Professional Communication, 57(2), 123–146.

Lucas, H. C. (1981). Implementation: The key to successful information systems. Columbia: University Press.

Lund Vinding, A. (2006). Absorptive capacity and innovative performance: A human capital approach. Economics of Innovation and New Technology, 15(4–5), 507–517.

Magrabi, F., Westbrook, J. I., & Coiera, E. W. (2007). What factors are associated with the integration of evidence retrieval technology into routine general practice settings? International Journal of Medical Informatics, 76(10), 701–709.

Malhotra, M. K., & Grover, V. (1998). An assessment of survey research in POM: From constructs to theory. Journal of Operations Management, 16(4), 407–425.

Maniaci, M. R., & Rogge, R. D. (2014). Caring about carelessness: Participant inattention and its effects on research. Journal of Research in Personality, 48, 61–83.

Meade, A. W., & Craig, S. B. (2012). Identifying careless responses in survey data. Psychological Methods, 17(3), 437–455.

Meyer, J. W., Scott, W. R., & Strang, D. (1987). Centralization, fragmentation, and school district complexity. Administrative Science Quarterly, 83(2), 186–201.

Mirchandani, D. A., & Motwani, J. (2001). Understanding small business electronic commerce adoption: An empirical analysis. Journal of Computer Information Systems, 41(3), 70–73.

Mitchell, V. L. (2006). Knowledge integration and information technology project performance. MIS Quarterly, 30(4), 919–939.

Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222.

Mowery, D. C., & Oxley, J. E. (1995). Inward technology transfer and competitiveness: The role of national innovation systems. Cambridge Journal of Economics, 19(1), 67–93.

Mowery, D. C., Oxley, J. E., & Silverman, B. S. (1996). Strategic alliances and interfirm knowledge transfer. Strategic Management Journal, 17(S2), 77–91.

Nunnally, J. C., Bernstein, I. H., & Berge, J. M. T. (1967). Psychometric theory. New York: McGraw-Hill.

Oliver, C. (1991). Strategic responses to institutional processes. Academy of Management Review, 16(1), 145–179.

Oliver, C. (1997). Sustainable competitive advantage: Combining institutional and resource-based views. Strategic Management Journal, 18, 697–713.

O’Toole, R. J., & O’Toole, E. F. (1966). Top executive involvement in EDP function. Management Controls, 13(6), 125–127.

Park, S. H., & Luo, Y. (2001). Guanxi and organizational dynamics: Organizational networking in Chinese firms. Strategic Management Journal, 22(5), 455–477.

Perednia, D. A., & Allen, A. (1995). Telemedicine technology and clinical applications. Journal of the American Medical Association, 273(6), 483–488.

Poba-Nzaou, P., Uwizeyemungu, S., Raymond, L., & Paré, G. (2014). Motivations underlying the adoption of ERP systems in healthcare organizations: Insights from online stories. Information Systems Frontiers, 16(4), 591–605.

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.

Premkumar, G., & Roberts, M. (1999). Adoption of new information technologies in rural small businesses. Omega, 27(4), 467–484.

Roberts, N., Galluch, P. S., Dinger, M., & Grover, V. (2012). Absorptive capacity and information systems research: Review, synthesis, and directions for future research. MIS Quarterly, 36(2), 625–648.

Rockart, J. F. (1988). The line takes the leadership – IS management in a wired society. Sloan Management Review, 29(4), 57–64.

Rockart, J. F., & Crescenzi, A. D. (1984). Engaging top management in information technology. Sloan Management Review, 25(4), 3–16.

Sabi, H. M., Uzoka, F. M. E., Langmia, K., Njeh, F. N., & Tsuma, C. K. (2017). A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa. Information Systems Frontiers, 19, 1–24.

Sanders, G. L., & Courtney, J. F. (1985). A field study of organizational factors influencing DSS success. MIS Quarterly, 9(1), 77–93.

Schmidt, R., Lyytinen, K., & Mark Keil, P. C. (2001). Identifying software project risks: An international Delphi study. Journal of Management Information Systems, 17(4), 5–36.

Schaupp, L. C., & Carter, L. (2010). The impact of trust, risk and optimism bias on E-file adoption. Information Systems Frontiers, 12(3), 299–309.

Scott, W. R. (1987). Organizations: Rational, natural, and open systems. Englewood Cliffs: Prentice-Hall.

Seethamraju, R. (2015). Adoption of software as a service (SaaS) enterprise resource planning (ERP) systems in small and medium sized enterprises (SMEs). Information Systems Frontiers, 17(3), 475–492.

Selznick, P. (1949). TVA and the grass roots: A study of politics and organization. Oakland: University of California Press.

Sharma, S. K. (2017). Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling. Information Systems Frontiers, 19, 1–13.

Sheng, M. L., Chang, S.-Y., Teo, T., & Lin, Y.-F. (2013). Knowledge barriers, knowledge transfer, and innovation competitive advantage in healthcare settings. Management Decision, 51, 461–478.

Sherer, S. A. (2010). Information systems and healthcare: An institutional theory perspective on physician adoption of electronic health records. Communications of the Association for Information Systems, 27(7), 127–140.

Shrivastava, P. (1983). A typology of organizational learning systems. Journal of Management Studies, 20(1), 7–28.

Silva, L., & Figueroa, B. E. (2002). Institutional intervention and the expansion of ICTs in Latin America: The case of Chile. Information Technology & People, 15(1), 8–25.

Simon, S. R., & Soumerai, S. B. (2005). Failure of internet-based audit and feedback to improve quality of care delivered by primary care residents. International Journal of Quality in Health Care., 17(5), 427–431.

Smith, W. K., & Tushman, M. L. (2005). Managing strategic contradictions: A top management model for managing innovation streams. Organization Science, 16(5), 522–536.

Srinivasan, R., Lilien, G. L., & Rangaswamy, A. (2002). Technological opportunism and radical technology adoption: An application to e-business. Journal of Marketing, 66(3), 47–60.

Sun, J., & Qu, Z. (2015). Understanding health information technology adoption: A synthesis of literature from an activity perspective. Information Systems Frontiers, 17(5), 1117–1190.

Tang, Y., Cerutti, F., Oren, N., & Bisdikian, C. (2015). Reasoning about the impacts of information sharing. Information Systems Frontiers, 17(4), 725–742.

Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.

Teo, H. H., Wan, W., Wang, X. W., & Wei, K. K. (2003b). Effects of absorptive capacity on organizational predisposition toward information systems. International Conference on Information Systems proceedings of Association for Information systems, 2003, Seattle, Washington, 121–133.

Teo, H. H., Wei, K. K., & Benbasat, I. (2003a). Predicting intention to adopt interorganizational linkages: An institutional perspective. MIS Quarterly, 27(1), 19–49.

Teoh, S. Y., Pan, S. L., & Ramchand, A. M. (2012). Resource management activities in healthcare information systems: A process perspective. Information Systems Frontiers, 14(3), 585–600.

Thong, J. Y. (1999). An integrated model of information systems adoption in small businesses. Journal of Management Information Systems, 15(4), 187–214.

Tingling, P., & Parent, M. (2002). Mimetic isomorphism and technology evaluation: Does imitation transcend judgment? Journal of the Association for Information Systems, 3(1), 113–143.

Todorova, G., & Durisin, B. (2007). Absorptive capacity: Valuing a reconceptualization. Academy of Management Review, 32(3), 774–786.

Tsai, W., & Ghoshal, S. (1998). Social capital and value creation: The role of intrafirm networks. Academy of Management Journal, 41(4), 464–476.

Vaidya, K., & Campbell, J. (2016). Multidisciplinary approach to defining public e-procurement and evaluating its impact on procurement efficiency. Information Systems Frontiers, 18(2), 333–348.

Walsh, J. P. (1988). Selectivity and selective perception: An investigation of managers' belief structures and information processing. Academy of Management Journal, 31(4), 873–896.

Walshe, K., & Shortell, S. M. (2004). Social regulation of healthcare organizations in the United States: Developing a framework for evaluation. Health Services Management Research, 17(2), 79–99.

Weill, P. (1992). The relationship between investment in information technology and firm performance: A study of the valve manufacturing sector. Information Systems Research, 3(4), 307–333.

Whitacre, B. E. (2015). Rural EMR adoption rates overtake those in urban areas. Journal of the American Medical Informatics Association, 22(2), 399–408.

Wiredu, G. O. (2012). Information systems innovation in public organizations: An institutional perspective. Information Technology & People, 25(2), 188–206.

Wong, C., Lai, K., & Bernroider, E. (2015). The performance of contingencies of supply chain information integration: The roles of product and market complexity. International Journal of Production Economics, 165, 1–11.

Wu, J. H., Chen, Y. C., & Greenes, R. A. (2009). Healthcare technology management competency and its impacts on IT–healthcare partnerships development. International Journal of Medical Informatics, 78(2), 71–82.

Yang, C. G., & Lee, H. J. (2016). A study on the antecedents of healthcare information protection intention. Information Systems Frontiers, 18(2), 253–263.

Yang, H., Li, W., Liu, K., & Zhang, J. (2012). Knowledge-based clinical pathway for medical quality improvement. Information Systems Frontiers, 14(1), 105–117.

Young, R., & Jordan, E. (2008). Top management support: Mantra or necessity? International Journal of Project Management, 26(7), 713–725.

Zahra, S. A., & George, G. (2002). Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27(2), 185–203.

Zhang, C., & Dhaliwal, J. (2009). An investigation of resource-based and institutional theoretic factors in technology adoption for operations and supply chain management. International Journal of Production Economics, 120, 252–269.

Zickuhr, K. (2013). Who’s not online and why. Pew Internet & American Life Project. Washington, DC: Pew Research Center.

Zucker, L. G. (1987). Institutional theories of organization. Annual Review of Sociology, 13, 443–464.

Zott, C. (2003). Dynamic capabilities and the emergence of intraindustry differential firm performance: Insights from a simulation study. Strategic Management Journal, 24(2), 97–125.

Titel: Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation
verfasst von: Venugopal Gopalakrishna-Remani
Robert Paul Jones
Kerri M. Camp
Publikationsdatum: 09.03.2018
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 6/2019
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-018-9836-9

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 6/2019

Editorial: Special issue on cyber security, privacy and ethics of information systems

An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites

Antecedents and Outcome of Deficient Self-Regulation in Unknown Wireless Networks Use Context: An Exploratory Study

A Meta-Analysis of Deterrence Theory in Information Security Policy Compliance Research

Fear of Online Consumer Identity Theft: Cross-Country Application and Short Scale Development

Data Governance, Consumer Privacy, and Project Status Reporting: Remembering H. Jeff Smith

Premium Partner