Health information technology (HIT) implementation is one way to improve the efficiency of healthcare spending. However, it is not easy to realize and it remains a challenge. Using an institutional perspective, environmental turbulence, and an IS success model, we try to better understand the use of HIT within healthcare institutions. We tested structural equation modeling of 425 healthcare personnel survey data. The results show that institutional pressure have mixed (negative and positive) influences on the use of HIT. In addition, colleague opinion significantly reduces the negative effect of coercive pressure on HIT. Academic and managerial contributions are further discussed in the final session of the study, as well as limitations and suggestions for future research.

Acemoglu, D., Johnson, S., Kermani, A., Kwak, J., & Mitton, T. (2016). The value of connections in turbulent times: Evidence from the United States. Journal of Financial Economics, 121(2), 368-391.
Adams, W. G., Mann, A. M., & Bauchner, H. (2003). Use of an electronic medical record improves the quality of urban pediatric primary care. Pediatrics, 111(3), 626-632.
Adler-Milstein, J., Green, C. E., & Bates, D. W. (2013). A survey analysis suggests that electronic health records will yield revenue gains for some practices and losses for many. Health Affairs, 32(3), 562-570.
Agarwal, R. (2016). On the intellectual structure and evolution of ISR. Information Systems Research, 27(3), 471-477.
Agarwal, R., Gao, G., DesRoches, C., & Jha, A. K. (2010). Research commentary—The digital transformation of healthcare: Current status and the road ahead. Information Systems Research, 21(4), 796-809.
Agha, L. (2014). The effects of health information technology on the costs and quality of medical care. Journal of Health Economics, 34(0), 19-30.
Ahlan, A. R., & Ahmad, B. I. e. (2015). An overview of patient acceptance of health information technology in developing countries: A review and conceptual model. International Journal of Information Systems and Project Management, 3(1), 29-48.
Ajzen, I. (2002). Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665-683.
Alon, A., & Dwyer, P. D. (2016). SEC's acceptance of IFRS-based financial reporting: An examination based in institutional theory. Accounting, Organizations and Society, 48(0), 1-16.
Ammenwerth, E., & De Keizer, N. (2005). An inventory of evaluation studies of information technology in health care. Methods of Information in Medicine, 44(01), 44-56.
Anderson, R. M., Heesterbeek, H., Klinkenberg, D., & Hollingsworth, T. D. (2020). How will country-based mitigation measures influence the course of the COVID-19 epidemic? The Lancet, 395(10228), 931-934.
Ang, S., & Cummings, L. L. (1997). Strategic response to institutional influences on information systems outsourcing. Organization Science, 8(3), 235-256.
Angst, C. M., Agarwal, R., Sambamurthy, V., & Kelley, K. (2010). Social contagion and information technology diffusion: The adoption of electronic medical records in US hospitals. Management Science, 56(8), 1219-1241.
Angst, C. M., Devaraj, S., Queenan, C. C., & Greenwood, B. (2011). Performance effects related to the sequence of integration of healthcare technologies. Production and Operations Management, 20(3), 319-333.
Ann Sykes, T. (2015). Support structures and their impacts on employee outcomes: A longitudinal field study of an enterprise system implementation. MIS Quarterly, 39(2), 473-495.
Aparicio, M., Oliveira, T., Bacao, F., & Painho, M. (2019). Gamification: A key determinant of massive open online course (MOOC) success. Information & Management, 56(1), 39-54.
Appari, A., Carian, E. K., Johnson, M. E., & Anthony, D. L. (2012). Medication administration quality and health information technology: A national study of US hospitals. Journal of the American Medical Informatics Association, 19(3), 360-367.
Appari, A., Johnson, M. E., & Anthony, D. L. (2009). HIPAA compliance: An institutional theory perspective. Paper presented at the Americas Conference on Information Systems, San Francisco, California.
Arazy, O., Nov, O., Patterson, R., & Yeo, L. (2011). Information quality in Wikipedia: The effects of group composition and task conflict. Journal of Management Information Systems, 27(4), 71-98.
Asch, S., Connor, S. E., Hamilton, E. G., & Fox, S. A. (2000). Problems in recruiting community-based physicians for health services research. Journal of General Internal Medicine, 15(8), 591-599.
Ash, J. S., Berg, M., & Coiera, E. (2004). Some unintended consequences of information technology in health care: The nature of patient care information system-related errors. Journal of the American Medical Informatics Association, 11(2), 104-112.
Ayal, M., & Seidman, A. (2009). An empirical investigation of the value of integrating enterprise information systems: The case of medical imaging informatics. Journal of Management Information Systems, 26(2), 43-68.
Ayanian, J. Z., Zaslavsky, A. M., Guadagnoli, E., Fuchs, C. S., Yost, K. J., Creech, C. M., . . . Wright, W. E. (2005). Patients' perceptions of quality of care for colorectal cancer by race, ethnicity, and language. Journal of Clinical Oncology, 23(27), 6576-6586.
Ayre, C., & Scally, A. J. (2014). Critical values for Lawshe’s content validity ratio: Revisiting the original methods of calculation. Measurement and Evaluation in Counseling and Development, 47(1), 79-86.
Azad, B., & King, N. (2012). Institutionalized computer workaround practices in a Mediterranean country: An examination of two organizations. European Journal of Information Systems, 21(4), 358-372.
Baburoglu, O. N. (1988). The vortical environment: The fifth in the Emery-Trist levels of organizational environments. Human Relations, 41(3), 181-210.
Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545.
Balaban, I., Mu, E., & Divjak, B. (2013). Development of an electronic portfolio system success model: An information systems approach. Computers & Education, 60(1), 396-411.
Bandura, A. (1995). Self-efficacy in changing societies. Cambridge, England: Cambridge University Press.
Bardhan, I., Oh, J.-h., Zheng, Z., & Kirksey, K. (2015). Predictive analytics for readmission of patients with congestive heart failure. Information Systems Research, 26(1), 19-39.
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.
Bourgeois, L. J., & Eisenhardt, K. M. (1988). Strategic decision processes in high velocity environments: Four cases in the microcomputer industry. Management Science, 34(7), 816-835.
Braa, J., Sahay, S., Lewis, J., & Senyoni, W. (2017). Health information systems in indonesia: Understanding and addressing complexity. Paper presented at the International Conference on Social Implications of Computers in Developing Countries, Yogyakarta, Indonesia.
Broner, F., Erce, A., Martin, A., & Ventura, J. (2014). Sovereign debt markets in turbulent times: Creditor discrimination and crowding-out effects. Journal of Monetary Economics, 61(0), 114-142.
Brown, S. L., & Eisenhardt, K. M. (1997). The art of continuous change: Linking complexity theory and time-paced evolution in relentlessly shifting organizations. Administrative Science Quarterly, 42(1), 1-34.
Brynjolfsson, E. (1996). The contribution of information technology to consumer welfare. Information Systems Research, 7(3), 281-300.
Buganza, T., Dell'Era, C., & Verganti, R. (2009). Exploring the relationships between product development and environmental turbulence: The case of mobile TLC services. Journal of Product Innovation Management, 26(3), 308-321.
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.
Butler, B. S., & Gray, P. H. (2006). Reliability, mindfulness, and information systems. MIS Quarterly, 30(2), 211-224.
Calantone, R., Garcia, R., & Dröge, C. (2003). The effects of environmental turbulence on new product development strategy planning. Journal of Product Innovation Management, 20(2), 90-103.
Campbell, E. M., Guappone, K. P., Sittig, D. F., Dykstra, R. H., & Ash, J. S. (2009). Computerized provider order entry adoption: Implications for clinical workflow. Journal of General Internal Medicine, 24(1), 21-26.
Campbell, S. M., Roland, M. O., & Buetow, S. A. (2000). Defining quality of care. Social Science & Medicine, 51(11), 1611-1625.
Cascella, M., Rajnik, M., Cuomo, A., Dulebohn, S. C., & Di Napoli, R. (2020). Features, evaluation and treatment coronavirus (COVID-19). Treasure Island (FL): StatPearls Publishing.
Cavusoglu, H., Cavusoglu, H., Son, J.-Y., & Benbasat, I. (2015). Institutional pressures in security management: Direct and indirect influences on organizational investment in information security control resources. Information & Management, 52(4), 385-400.
Cenfetelli, R. T. (2004). Inhibitors and enablers as dual factor concepts in technology usage. Journal of the Association for Information Systems, 5(11), 472-492.
Chang, H. H., Wong, K. H., & Li, S. Y. (2017). Applying push-pull-mooring to investigate channel switching behaviors: M-shopping self-efficacy and switching costs as moderators. Electronic Commerce Research and Applications, 24(0), 50-67.
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.
Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., . . . Shekelle, P. G. (2006). Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine, 144(10), 742-752.
Chen, C., Garrido, T., Chock, D., Okawa, G., & Liang, L. (2009). The Kaiser Permanente electronic health record: Transforming and streamlining modalities of care. Health Affairs, 28(2), 323-333.
Chen, L., Baird, A., & Straub, D. W. (2019). An analysis of the evolving intellectual structure of health information systems research in the information systems discipline. Journal of the Association for Information Systems, 20(8), 1023-1074.
Chiasson, M. W., & Davidson, E. (2004). Pushing the contextual envelope: developing and diffusing IS theory for health information systems research. Information and Organization, 14(3), 155-188.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295-336). London: Lawrence Erlbaum Associates.
Clemons, E. K., Reddi, S. P., & Row, M. C. (1993). The impact of information technology on the organization of economic activity: The 'move to the middle' hypothesis. Journal of Management Information Systems, 10(2), 9-35.
Clemons, E. K., & Row, M. C. (1993). Limits to interfirm coordination through information technology: Results of a field study in consumer packaged goods distribution. Journal of Management Information Systems, 10(1), 73-96.
Currie, W. L. (2012). Institutional isomorphism and change: The national programme for IT–10 years on. Journal of Information Technology, 27(3), 236-248.
Currie, W. L., & Guah, M. W. (2007). Conflicting institutional logics: A national programme for IT in the organisational field of healthcare. Journal of Information Technology, 22(3), 235-247.
D’Ambra, J., & Rice, R. E. (2001). Emerging factors in user evaluation of the World Wide Web. Information & Management, 38(6), 373-384.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
DeLone, W. H., & McLean, E. R. (2016). Information systems success measurement. Foundations and Trends® in Information Systems, 2(1), 1-116.
DePietro, R., Wiarda, E., & Fleischer, M. (1990). The context for change: Organization, technology and environment In L. G. Tornatzky & Mitchell Fleischer (Eds.), The processes of technological innovation (pp. 151-175). Lexington, MA: Lexington Books.
DesRoches, C. M., Campbell, E. G., Vogeli, C., Zheng, J., Rao, S. R., Shields, A. E., . . . Jha, A. K. (2010). Electronic health records’ limited successes suggest more targeted uses. Health Affairs, 29(4), 639-646.
Dess, G. G., & Beard, D. W. (1984). Dimensions of organizational task environments. Administrative Science Quarterly, 29(1), 52-73.
Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263-282.
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.
Doolin, B. (1999). Sociotechnical networks and information management in health care. Accounting, Management and Information Technologies, 9(2), 95-114.
Duncan, R. B. (1972). Characteristics of organizational environments and perceived environmental uncertainty. Administrative Science Quarterly, 17(3), 313-327.
El Sawy, O. A. (1985). Personal information systems for strategic scanning in turbulent environments: Can the CEO go on-line? MIS Quarterly, 9(1), 53-60.
Engelen, A., Kube, H., Schmidt, S., & Flatten, T. C. (2014). Entrepreneurial orientation in turbulent environments: The moderating role of absorptive capacity. Research Policy, 43(8), 1353-1369.
Fareed, N., Bazzoli, G. J., Mick, S. S. F., & Harless, D. W. (2015). The influence of institutional pressures on hospital electronic health record presence. Social Science & Medicine, 133(0), 28-35.
Fernandopulle, R., & Patel, N. (2010). How the electronic health record did not measure up to the demands of our medical home practice. Health Affairs, 29(4), 622-628.
Fichman, R. G., Kohli, R., & Krishnan, R. (2011). Editorial overview—the role of information systems in healthcare: current research and future trends. Information Systems Research, 22(3), 419-428.
Fiol, C. M., & O'Connor, E. J. (2003). Waking up! Mindfulness in the face of bandwagons. Academy of Management Review, 28(1), 54-70.
Forster, A. J., Kyeremanteng, K., Hooper, J., Shojania, K. G., & van Walraven, C. (2008). The impact of adverse events in the intensive care unit on hospital mortality and length of stay. BMC Health Services Research, 8(1), 259-267.
Furukawa, M. F., Raghu, T., Spaulding, T. J., & Vinze, A. (2008). Adoption of health information technology for medication safety in US hospitals, 2006. Health Affairs, 27(3), 865-875.
Gholami, R., Sulaiman, A. B., Ramayah, T., & Molla, A. (2013). Senior managers’ perception on green information systems (IS) adoption and environmental performance: Results from a field survey. Information & Management, 50(7), 431-438.
Gibbs, J. L., & Kraemer, K. L. (2004). A cross‐country investigation of the determinants of scope of e‐commerce use: An institutional approach. Electronic Markets, 14(2), 124-137.
Gostin, L. O., & Hodge Jr, J. G. (2001). Personal privacy and common goods: A framework for balancing under the national health information privacy rule. Minnesota Law Review, 86(6), 1439–1479.
Granovetter, M. (1985). Economic action and social structure: The problem of embeddedness. American Journal of Sociology, 91(3), 481-510.
Grgecic, D., Holten, R., & Rosenkranz, C. (2015). The impact of functional affordances and symbolic expressions on the formation of beliefs. Journal of the Association for Information Systems, 16(7), 580-607.
Guillemette, M. G., Mignerat, M., & Paré, G. (2017). The role of institutional work in the transformation of the IT function: A longitudinal case study in the healthcare sector. Information & Management, 54(3), 349-363.
Hair, J., Anderson, R., Tatham, R., & Black, W. (1998). Multivariate Data Analysis with Readings Englewood Cliffs, NJ: Prentice-Hall.
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, California: Sage Publications.
Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(6), 106-121.
Han, P. K., Babrow, A., Hillen, M. A., Gulbrandsen, P., Smets, E. M., & Ofstad, E. H. (2019). Uncertainty in health care: Towards a more systematic program of research. Patient Education and Counseling, 102(10), 1756-1766.
Hanvoravongchai, P., Adisasmito, W., Chau, P. N., Conseil, A., De Sa, J., Krumkamp, R., . . . Shih, C.-S. (2010). Pandemic influenza preparedness and health systems challenges in Asia: Results from rapid analyses in 6 Asian countries. BMC Public Health, 10(1), 322-333.
Haveman, H. A. (1993). Follow the leader: Mimetic isomorphism and entry into new markets. Administrative Science Quarterly, 38(4), 593-627.
Hawley, A. (1968). Human ecology. In D. Sills (Ed.), International Encyclopedia of the Social Sciences. New York: Palgrave Macmillan.
Hitt, L., & Brynjolfsson, E. (1994). The three faces of IT value: Theory and evidence. Paper presented at the International Conference on Information Systems, Vancouver, Canada.
Holroyd-Leduc, J. M., Lorenzetti, D., Straus, S. E., Sykes, L., & Quan, H. (2011). The impact of the electronic medical record on structure, process, and outcomes within primary care: A systematic review of the evidence. Journal of the American Medical Informatics Association, 18(6), 732-737.
Hornyak, R., Rai, A., & Dong, J. Q. (2020). Incumbent system context and job outcomes of effective enterprise system use. Journal of the Association for Information Systems, 21(2), 364-387.
Ishman, M. D. (1998). Measuring information success at the individual level in cross-cultural environments. In E. J. Garrity & G. L. Sanders (Eds.), Information Systems Success Measurement (pp. 60–78).
Jap, S. D. (2001). Perspectives on joint competitive advantages in buyer–supplier relationships. International Journal of Research in Marketing, 18(1-2), 19-35.
Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199-218.
Jensen, T. B., Kjærgaard, A., & Svejvig, P. (2009). Using institutional theory with sensemaking theory: A case study of information system implementation in healthcare. Journal of Information Technology, 24(4), 343-353.
Jeyaraj, A., Balser, D., Chowa, C., & Griggs, G. (2004). Institutional factors influencing e-business adoption. Paper presented at the Americas Conference on Information Systems New York.
Keen, P. G. (1980). MIS research: Current status, trends and needs. In R. Buckingham, R. Hirschheim, F. Land & C. Tully (Eds.), Information systems education: Recommendations and implementation (Vol. 1, pp. 13). Cambridge: Cambridge University Press.
Kelley, H., Chiasson, M., Downey, A., & Pacaud, D. (2011). The clinical impact of eHealth on the self-management of diabetes: A double adoption perspective. Journal of the Association for Information Systems, 12(3), 208–234.
Kennebeck, S. S., Timm, N., Farrell, M. K., & Spooner, S. A. (2012). Impact of electronic health record implementation on patient flow metrics in a pediatric emergency department. Journal of the American Medical Informatics Association, 19(3), 443-447.
Khandwalla, P. (1977). Design of Organizations. New York: Harcourt Brace Jovanovich.
Khoumbati, K., Themistocleous, M., & Irani, Z. (2006). Evaluating the adoption of enterprise application integration in health-care organizations. Journal of Management Information Systems, 22(4), 69-108.
Kim, H.-W., & Kankanhalli, A. (2009). Investigating user resistance to information systems implementation: A status quo bias perspective. MIS Quarterly, 33(3), 567-582.
King, J., Patel, V., Jamoom, E. W., & Furukawa, M. F. (2014). Clinical benefits of electronic health record use: National findings. Health Services Research, 49(1), 392-404.
Klaus, T., & Blanton, J. E. (2010). User resistance determinants and the psychological contract in enterprise system implementations. European Journal of Information Systems, 19(6), 625-636.
Klecun, E., Zhou, Y., Kankanhalli, A., Wee, Y. H., & Hibberd, R. (2019). The dynamics of institutional pressures and stakeholder behavior in national electronic health record implementations: A tale of two countries. Journal of Information Technology, 34(4), 292-332.
Kleinbaum, D., Kupper, L., Muller, K., & Nizam, A. (1998). Applied Regression Analysis and Multivariable Methods (3rd ed.). Pacific Grove, CA: Duxbury.
Klöcker, P., Bernnat, R., & Veit, D. (2014). Implementation through force or measure? How institutional pressures shape national ehealth implementation programs. Paper presented at the European Conference on Information Systems (ECIS), Tel Aviv.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10.
Kohli, R., & Kettinger, W. J. (2004). Informating the clan: Controlling physicians' costs and outcomes. MIS Quarterly, 28(3), 363-394.
Kohli, R., & Tan, S. S.-L. (2016). Electronic health records: How can IS researchers contribute to transforming healthcare? MIS Quarterly, 40(3), 553-573.
Koppel, R., Metlay, J. P., Cohen, A., Abaluck, B., Localio, A. R., Kimmel, S. E., & Strom, B. L. (2005). Role of computerized physician order entry systems in facilitating medication errors. Journal of American Medical Association, 293(10), 1197-1203.
Krassa, M. A. (1988). Social groups, selective perception, and behavioral contagion in public opinion. Social Networks, 10(2), 109-136.
Krell, K., Matook, S., & Rohde, F. (2016). The impact of legitimacy-based motives on IS adoption success: An institutional theory perspective. Information & Management, 53(6), 683-697.
Kung, L., Cegielski, C. G., & Kung, H.-J. (2015). An integrated environmental perspective on software as a service adoption in manufacturing and retail firms. Journal of Information Technology, 30(4), 352-363.
Kwak, D.-H., Ramamurthy, K. R., & Nazareth, D. L. (2019). Beautiful is good and good is reputable: Multiple-attribute charity website evaluation and initial perceptions of reputation under the halo effect. Journal of the Association for Information Systems, 20(11), 1611-1649.
Lai, A. Y. (2012). Organizational collaborative capacity in fighting pandemic crises: A literature review from the public management perspective. Asia Pacific Journal of Public Health, 24(1), 7-20.
Lee, J., & Rao, H. R. (2007). Perceived risks, counter-beliefs, and intentions to use anti-/counter-terrorism websites: An exploratory study of government–citizens online interactions in a turbulent environment. Decision Support Systems, 43(4), 1431-1449.
Leung, A. A., Keohane, C., Amato, M., Simon, S. R., Coffey, M., Kaufman, N., . . . Seger, D. L. (2012). Impact of vendor computerized physician order entry in community hospitals. Journal of General Internal Medicine, 27(7), 801-807.
Lewis, D. (2009). The EMR: Bridging the gap between clinicians and technology. Biomedical Instrumentation & Technology, 43(2), 102-110.
Lewis, R., & Booms, B. (1983). The marketing aspects of service quality. In L. Berry, G. L. Shostack & G. Upah (Eds.), Emerging Perspectives on Services Marketing Chicago, USA: American Marketing Association.
Lewis, T., Synowiec, C., Lagomarsino, G., & Schweitzer, J. (2012). E-health in low-and middle-income countries: Findings from the Center for Health Market Innovations. Bulletin of the World Health Organization, 90(0), 332-340.
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.
Li, Y., Liu, H., Lim, E. T., Goh, J. M., Yang, F., & Lee, M. K. (2018). Customer's reaction to cross-channel integration in omnichannel retailing: The mediating roles of retailer uncertainty, identity attractiveness, and switching costs. Decision Support Systems, 109(0), 50-60.
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.
Liang, H., Xue, Y., & Zhang, Z. (2017). Understanding online health information use: The case of people with physical disabilities. Journal of the Association for Information Systems, 18(6), 433-460.
Lieberman, M. B., & Asaba, S. (2006). Why do firms imitate each other? Academy of Management Review, 31(2), 366-385.
Liebler, J. G., & McConnell, C. R. (2017). The dynamic Environment of health care. In J. G. Liebler & C. R. McConnell (Eds.), Management Principles for Health Professionals (Seventh edition ed.). Burlington, MA Jones & Bartlett Learning.
Lim, S. Y., Jarvenpaa, S. L., & Lanham, H. J. (2015). Barriers to interorganizational knowledge transfer in post-hospital care transitions: review and directions for information systems research. Journal of Management Information Systems, 32(3), 48-74.
Lipsitz, L. A. (2012). Understanding health care as a complex system: the foundation for unintended consequences. Journal of the American Medical Association, 308(3), 243-244.
Liu, C.-T., Yang, P.-T., Yeh, Y.-T., & Wang, B.-L. (2006). The impacts of smart cards on hospital information systems—An investigation of the first phase of the national health insurance smart card project in Taiwan. International Journal of Medical Informatics, 75(2), 173-181.
Liu, C., & Arnett, K. P. (2000). Exploring the factors associated with Web site success in the context of electronic commerce. Information & Management, 38(1), 23-33.
Liu, H., Ke, W., Wei, K. K., Gu, J., & Chen, H. (2010). The role of institutional pressures and organizational culture in the firm's intention to adopt internet-enabled supply chain management systems. Journal of Operations Management, 28(5), 372-384.
Luther, L., Fukui, S., Garabrant, J. M., Rollins, A. L., Morse, G., Henry, N., . . . Salyers, M. P. (2019). Measuring quality of care in community mental health: Validation of concordant clinician and client quality-of-care scales. The Journal of Behavioral Health Services & Research, 46(1), 64-79.
Lyke, B. (2009). Health care reform: An introduction (Vol. 7-5700, pp. 1-17): Congressional Research Service.
Mansfield, E. (1961). Technical change and the rate of imitation. Econometrica, 61(0), 741-766.
Marchand, D. A., Kettinger, W. J., & Rollins, J. D. (2000). Information orientation: people, technology and the bottom line. MIT Sloan Management Review, 41(4), 69.
Marchington, M., & Vincent, S. (2004). Analysing the influence of institutional, organizational and interpersonal forces in shaping inter‐organizational relations. Journal of Management Studies, 41(6), 1029-1056.
Martinko, M. J., Zmud, R. W., & Henry, J. W. (1996). An attributional explanation of individual resistance to the introduction of information technologies in the workplace. Behaviour & Information Technology, 15(5), 313-330.
Mason, R. O. (1978). Measuring information output: A communication systems approach. Information & Management, 1(4), 219-234.
McCullough, J. S., Parente, S. T., & Town, R. (2016). Health information technology and patient outcomes: The role of information and labor coordination. The RAND Journal of Economics, 47(1), 207-236.
Mekonnen, S. M., & Sahay, S. (2008). An institutional analysis on the dynamics of the interaction between standardizing and scaling processes: A case study from Ethiopia. European Journal of Information Systems, 17(3), 279-289.
Menon, N. M., & Kohli, R. (2013). Blunting Damocles' sword: A longitudinal model of healthcare IT impact on malpractice insurance premium and quality of patient care. Information Systems Research, 24(4), 918-932.
Mesch, G. S., & Schwirian, K. P. (2015). Social and political determinants of vaccine hesitancy: Lessons learned from the H1N1 pandemic of 2009-2010. American Journal of Infection Control, 43(11), 1161-1165.
Meseguer‐Artola, A., Aibar, E., Lladós, J., Minguillón, J., & Lerga, M. (2016). Factors that influence the teaching use of Wikipedia in higher education. Journal of the Association for Information Science and Technology, 67(5), 1224-1232.
Miller, A. R., & Tucker, C. E. (2011). Can health care information technology save babies? Journal of Political Economy, 119(2), 289-324.
Miller, K., Shah, M., Hitchcock, L., Perry, A., Englebright, J., Perlin, J., & Burgess, H. (2008). Evaluation of medications removed from automated dispensing machines using the override function leading to multiple system changes. In Henriksen K, Battles JB & Keyes MA (Eds.), Advances in Patient Safety: New Directions and Alternative Approaches (Vol. 4: Technology and Medication Safety). Rockville (MD): Agency for Healthcare Research and Quality (US).
Milliken, F. J. (1987). Three types of perceived uncertainty about the environment: State, effect, and response uncertainty. Academy of Management Review, 12(1), 133-143.
Myers, B. L., Kappelman, L. A., & Prybutok, V. R. (1998). A comprehensive model for assessing the quality and productivity of the information systems function: Toward a theory for information systems assessment. In E. J. Garrity & G. L. Sanders (Eds.), Information Systems Success Measurement (pp. 94–121).
Neuman, W. L. (2006). Social Research Methods: Qualitative and Quantitative Approaches. New York, NY: Pearson Education.
Oliver, C. (1991). Strategic responses to institutional processes. Academy of Management Review, 16(1), 145-179.
Orszag, P. R. (2008). Evidence on the costs and benefits of health information technology, Congressional Budget Office (Vol. 24, pp. 1-37): Statement before the U.S. House of Representatives.
Palmer, D. A., Jennings, P. D., & Zhou, X. (1993). Late adoption of the multidivisional form by large US corporations: Institutional, political, and economic accounts. Administrative Science Quarterly, 38(1), 100-131.
Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research, 13(2), 151-167.
Pavlou, P. A., & El Sawy, O. A. (2006). From IT leveraging competence to competitive advantage in turbulent environments: The case of new product development. Information Systems Research, 17(3), 198-227.
Payton, F. C., Pare, G., Le Rouge, C. M., & Reddy, M. (2011). Health care IT: Process, people, patients and interdisciplinary considerations. Journal of the Association for Information Systems, 12(2), 4.
Pekkola, S., Saunila, M., & Rantanen, H. (2016). Performance measurement system implementation in a turbulent operating environment. International Journal of Productivity and Performance Management, 66(7), 947-958.
Peng, G., Dey, D., & Lahiri, A. (2014). Healthcare IT adoption: An analysis of knowledge transfer in socioeconomic networks. Journal of Management Information Systems, 31(3), 7-34.
Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236-263.
Petter, S., DeLone, W., & McLean, E. R. (2012). The past, present, and future of “IS success”. Journal of the Association for Information Systems, 13(5), 341-362.
Petter, S., DeLone, W., & McLean, E. R. (2013). Information systems success: The quest for the independent variables. Journal of Management Information Systems, 29(4), 7-62.
Pfeffer, J., & Salancik, G. R. (1978). The External Control of Organizations: A Resource Dependence Perspective. New York: Harper & Row.
Pinsonneault, A., Addas, S., Qian, C., Dakshinamoorthy, V., & Tamblyn, R. (2017). Integrated health information technology and the quality of patient care: A natural experiment. Journal of Management Information Systems, 34(2), 457-486.
Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service quality: A measure of information systems effectiveness. MIS Quarterly, 19(2), 173-187.
Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing & Health, 30(4), 459-467.
Queenan, C. C., Angst, C. M., & Devaraj, S. (2011). Doctors’ orders––If they’re electronic, do they improve patient satisfaction? A complements/substitutes perspective. Journal of Operations Management, 29(7-8), 639-649.
Rachmani, E., Hsu, C. Y., & Kurniadi, A. (2013). How health information system could help the leprosy control program in Indonesia? Paper presented at the 3rd International Conference on Instrumentation, Communications, Information Technology and Biomedical Engineering (ICICI-BME), Bandung, Indonesia.
Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 5-69.
Reay, T., & Hinings, C. R. (2009). Managing the rivalry of competing institutional logics. Organization Studies, 30(6), 629-652.
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). A critical look at the use of PLS-SEM in MIS Quarterly. MIS Quarterly, 36(1), iii-xiv.
Roberts, N., Mellott, M., Dinger, M., & Campbell, D. (2016). Electronic medical record system avoidance in a turbulent environment. Information & Management, 53(5), 581-590.
Rodriguez‐Gonzalez, C. G., Herranz‐Alonso, A., Escudero‐Vilaplana, V., Ais‐Larisgoitia, M. A., Iglesias‐Peinado, I., & Sanjurjo‐Saez, M. (2019). Robotic dispensing improves patient safety, inventory management, and staff satisfaction in an outpatient hospital pharmacy. Journal of Evaluation in Clinical Practice, 25(1), 28-35.
Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Simon and Schuster.
Romanow, D., Cho, S., & Straub, D. (2012). Editor's comments - Riding the wave: Past trends and future directions for health IT research. MIS Quarterly, 36(3), iii-x.
Rosenkopf, L., & Abrahamson, E. (1999). Modeling reputational and informational influences in threshold models of bandwagon innovation diffusion. Computational & Mathematical Organization Theory, 5(4), 361-384.
Salmela, H., Lederer, A. L., & Reponen, T. (2000). Information systems planning in a turbulent environment. European Journal of Information Systems, 9(1), 3-15.
Sasidharan, S., Santhanam, R., Brass, D. J., & Sambamurthy, V. (2012). The effects of social network structure on enterprise systems success: A longitudinal multilevel analysis. Information Systems Research, 23(3), 658-678.
Schulz, T., Böhm, M., Gewald, H., Celik, Z., & Krcmar, H. (2020). The negative effects of institutional logic Multiplicity on service platforms in intermodal mobility ecosystems. Business & Information Systems Engineering, 0(0), 1-17.
Scott, W. R. (1995). Organizations and institutions. Thousand Oaks, CA, USA: Sage Publications.
Scott, W. R., Ruef, M., Mendel, P. J., & Caronna, C. A. (2000). Institutional Change and Healthcare Organizations: From Professional Dominance to Managed Care. Chicago, IL: University of Chicago Press.
Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253.
Sedera, D., Eden, R., & McLean, E. (2013). Are we there yet? A step closer to theorizing information systems success. Paper presented at the Thirty Fourth International Conference on Information Systems, Milan.
Shah, K., Lo, C., Babich, M., Tsao, N. W., & Bansback, N. J. (2016). Bar code medication administration technology: A systematic review of impact on patient safety when used with computerized prescriber order entry and automated dispensing devices. The Canadian Journal of Hospital Pharmacy, 69(5), 394-402.
Shannon, C. E., & Weaver, W. (1949). The Mathematical Theory of Communication. Urbana: University of Illinois Press.
Sherer, S. A., Meyerhoefer, C. D., & Peng, L. (2016). Applying institutional theory to the adoption of electronic health records in the US. Information & Management, 53(5), 570-580.
Shi, W., Shambare, N., & Wang, J. (2008). The adoption of internet banking: An institutional theory perspective. Journal of Financial Services Marketing, 12(4), 272-286.
Shim, M., & Jo, H. S. (2020). What quality factors matter in enhancing the perceived benefits of online health information sites? Application of the updated DeLone and McLean information systems success model. International Journal of Medical Informatics, 137(0), 1-7.
Shultz, K. S., & Whitney, D. J. (2005). Measurement Theory in Action: Case Atudies and Exercises. Thousand Oaks, California: Sage Publications, Inc.
Silic, M., & Lowry, P. B. (2020). Using design-science based gamification to improve organizational security training and compliance. Journal of Management Information Systems, 37(1), 129-161.
Singeh, F. W., Abrizah, A., & Karim, N. H. A. (2013). Malaysian authors' acceptance to self‐archive in institutional repositories: Towards a unified view. The Electronic Library, 31(2), 188-207.
Son, J.-Y., & Benbasat, I. (2007). Organizational buyers' adoption and use of B2B electronic marketplaces: Efficiency-and legitimacy-oriented perspectives. Journal of Management Information Systems, 24(1), 55-99.
Soulakis, N. D., Carson, M. B., Lee, Y. J., Schneider, D. H., Skeehan, C. T., & Scholtens, D. M. (2015). Visualizing collaborative electronic health record usage for hospitalized patients with heart failure. Journal of the American Medical Informatics Association, 22(2), 299-311.
Swanson, E. B., & Ramiller, N. C. (2004). Innovating mindfully with information technology. MIS Quarterly, 28(4), 553-583.
Tamblyn, R., Abrahamowicz, M., Brailovsky, C., Grand'Maison, P., Lescop, J., Norcini, J., . . . Haggerty, J. (1998). Association between licensing examination scores and resource use and quality of care in primary care practice. Journal of the American Medical Association, 280(11), 989-996.
Tan, C.-W., Benbasat, I., & Cenfetelli, R. T. (2016). An exploratory study of the formation and impact of electronic service failures. MIS Quarterly, 40(1), 1-29.
Teo, H.-H., Wei, K. K., & Benbasat, I. (2003). Predicting intention to adopt interorganizational linkages: An institutional perspective. MIS Quarterly, 27(1), 19-49.
Tong, Y., Tan, S. S.-L., & Teo, H.-H. (2015). The road to early success: Impact of system use in the swift response phase. Information Systems Research, 26(2), 418-436.
Tsai, M.-C., Lai, K.-H., & Hsu, W.-C. (2013). A study of the institutional forces influencing the adoption intention of RFID by suppliers. Information & Management, 50(1), 59-65.
Tzelepis, F., Hanna, J. H., Paul, C. L., Boyes, A. W., Carey, M. L., & Regan, T. (2017). Quality of patient-centred care: Medical oncology patients’ perceptions and characteristics associated with quality of care. Psycho-oncology, 26(0), 1998-2001.
Ugrin, J. C. (2009). The effect of system characteristics, stage of adoption, and experience on institutional explanations for ERP systems choice. Accounting Horizons, 23(4), 365-389.
VanGeest, J. B., Johnson, T. P., & Welch, V. L. (2007). Methodologies for improving response rates in surveys of physicians: A systematic review. Evaluation & the Health Professions, 30(4), 303-321.
Venkatesh, V., & Sykes, T. A. (2013). Digital divide initiative success in developing countries: A longitudinal field study in a village in India. Information Systems Research, 24(2), 239-260.
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.
Volberda, H., & Van Bruggen, G. (1997). Environmental turbulence: A look into its dimensionality. In M. T. A. Bemelmans (Ed.), Dynamiek in Bedrijfsvoering. Enschede, The Netherlands: NOBO.
Volberda, H. W. (1998). Building the flexible firm: How to remain competitive. New York, NY: Oxford University Press.
Wager, K. A., Lee, F. W., & Glaser, J. P. (2005). Managing health care information systems: A practical approach for health care executives. San Francisco, CA: John Wiley & Sons.
Wang, C. J., Ng, C. Y., & Brook, R. H. (2020). Response to COVID-19 in Taiwan: Big data analytics, new technology, and proactive testing. The Journal of the American Medical Association, 323(14), 1341-1342.
Wang, L., Gao, Y.-H., Lou, L.-L., & Zhang, G.-J. (2020). The clinical dynamics of 18 cases of COVID-19 outside of Wuhan, China. European Respiratory Journal, 55(4), 1-4.
Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5-33.
Wang, W.-T., & Wang, C.-C. (2009). An empirical study of instructor adoption of web-based learning systems. Computers & Education, 53(3), 761-774.
Weible, C. M., Nohrstedt, D., Cairney, P., Carter, D. P., Crow, D. A., Durnová, A. P., . . . Stone, D. (2020). COVID-19 and the policy sciences: Initial reactions and perspectives. Policy Aciences, 1(0), 1-17.
Weng, C., Appelbaum, P., Hripcsak, G., Kronish, I., Busacca, L., Davidson, K. W., & Bigger, J. T. (2012). Using EHRs to integrate research with patient care: Promises and challenges. Journal of the American Medical Informatics Association, 19(5), 684-687.
Wolf, M., Beck, R., & Pahlke, I. (2012). Mindfully resisting the bandwagon: Reconceptualising IT innovation assimilation in highly turbulent environments. Journal of Information Technology, 27(3), 213-235.
Xu, J., Benbasat, I., & Cenfetelli, R. T. (2013). Integrating service quality with system and information quality: An empirical test in the e-service context. MIS Quarterly, 37(3), 777-794.
Yen, P.-Y., McAlearney, A. S., Sieck, C. J., Hefner, J. L., & Huerta, T. R. (2017). Health information technology (HIT) adaptation: Refocusing on the journey to successful HIT implementation. JMIR Medical Informatics, 5(3), 1-9.
Yeow, A., & Faraj, S. (2011). Microprocesses of healthcare technology implementation under competing institutional logics. Paper presented at the Thirty second international conference on information systems, Shanghai, China.
Yeow, A., & Huat Goh, K. (2015). Work harder or work smarter? Information technology and resource allocation in healthcare processes. MIS Quarterly, 39(4), 763–785.
Yuriev, A., Boiral, O., & Guillaumie, L. (2020). Evaluating determinants of employees' pro-environmental behavioral intentions. International Journal of Manpower, 41(4), 1-15.
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., . . . Gu, X. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. The Lancet, 395(10229), 1054-1062.