Motivations underlying the adoption of ERP systems in healthcare organizations: Insights from online stories
To face their changing environment, a growing number of healthcare institutions are investing in ERP systems as their basic technological infrastructure, highlighting a phenomenon that recalls the earlier popularity of the ERP movement in the manufacturing and financial sectors. Based on the analysis of 180 stories published on ERP vendors’ websites, the primary aim of this study is to identify, characterize and contextualize the motivations that lead to the adoption of these systems in healthcare organizations. Our findings first indicate that these motivations can be classified into six broad categories, namely technological, managerial-operational, managerial-strategic, clinical-operational, clinical-strategic, and financial. Moreover, three clusters of healthcare organizations were identified with regard to these motivations, and labelled as taking a “business”, “clinical” or “institutional” view of ERP adoption decisions. Given the specificities of IT adoption in the healthcare sector, the importance of these results from a theoretical standpoint lies in filling a knowledge gap in both the ERP and health IT research domains. From a practical standpoint, these results are of interest for policy makers and healthcare managers that must deal with continuous increases in healthcare costs and major demographic changes, and thus need to improve the efficiency and quality of healthcare services provided to patients through IT-based innovations.
KeywordsERP systems Organizational adoption Motivations Healthcare organizations
- Allen, D., Kern, T., & Havenhand, M. (2002). “ERP critical success factors: An exploration of the contextual factors in public sector institutions”, Proceedings of the 35th Hawaii International Conference on System Sciences.Google Scholar
- Ashkenas, R., Ulrich, D., Jick, T., & Kerr, S. (1995). The boundaryless organization. San Francisco: Jossey-Bass.Google Scholar
- Baskerville, R. L., & Myers, M. D. (2009). Fashion waves in information systems research and practice. MIS Quarterly, 33(4), 647–662.Google Scholar
- Blick, G., Gulledge, T., & Sommer, R. (2000). “Defining business process requirements for large scale public sector ERP implementations: A case study”, Proceedings of the European Conference on Information Systems. Wien: Wirtschafts Universität.Google Scholar
- Caldas, M. P., &Wood Jr. T. “How consultants can help organizations survive the ERP frenzy”, Academy of Management Annual Meeting, Chicago, August 6–11, 1999, http://www.gv.br/prof_alunos/thomaz/ingles/paper6.tm.
- Chang, S. I., Gable, G., Smythe, E., & Timbrell, G. (2000). “A Delphi examination of public sector ERP implementation issues”, Proceedings of the Twenty First International Conference on Information Systems, Brisbane, Queensland, Australia, pp. 494–500.Google Scholar
- Chiasson, M. W., & Davidson, E. (2005). Taking industry seriously in information systems research. MIS Quarterly, 29(4), 591–605.Google Scholar
- Davenport, T. (1998). Putting the enterprise into the enterprise system. Harvard Business Review, 76(4), 121–132.Google Scholar
- Dorobek, C. J. “ERP: It’s not dead yet”, Federal Computer Week, June 11, 2001, http://www.fcw.com/fcw/articles/2001/0611/tec-erp06-11-01.asp.
- Heintze, T., & Bretschneider, S. (2000). Information technology and restructuring in public organizations: Does adoption of information technology affect organizational structures, communications, and decision making? Journal of Public Administration Research and Theory, 10(4), 801–830.CrossRefGoogle Scholar
- Information Base for Progress. (2006). Health information technology in the United States, http://www.rwjf.org/files/publications/other/EHRReport0609.pdf.
- Marbert, V. A., Soni, A., & Venkataramanan, M. A. (2000). Enterprise resource planning survey of U.S. manufacturing firms. Production and Inventory Management Journal, 41(2), 52–58.Google Scholar
- Marbert, V. A., Soni, A., & Venkataramanan, M. A. (2001). Enterprise resource planning: Measuring value. Production and Inventory Management Journal, 42(3/4), 46–51.Google Scholar
- MarketsandMarkets. (2009). “Healthcare information technology systems market to be worth $53.8 billion by 2014”, http://www.marketsandmarkets.com/PressReleases/healthcare-information-technology-systems-market-worth-53.8-billion-by-2014.asp.
- Markus, L. M., & Tanis, C. (2000). The enterprise system experience: From adoption to success. In R. W. Zmud (Ed.), Framing the domain of IT management: Projecting the future…through the past (pp. 173–207). Cincinnati: Pinnaflex Education Resources.Google Scholar
- McGinnis, S. K., Pumphrey, L. D., Trimmer, K. J., & Wiggins, C. (2004). A case study in IT innovation in a small, rural community hospital. Research in Healthcare Financial Management, 9(10), 9–21.Google Scholar
- Oliver, D., & Romm, C. (2000). “Enterprise resources planning: The route to adoption”, Proceedings of the 6th Americas Conference on Information Systems, Long Beach, California.Google Scholar
- Paré, G., Jaana, M., & Sicotte, C. (2010). Exploring health information technology innovativeness and its antecedents in Canadian hospitals. Methods of Information in Medicine, 49(1), 28–36.Google Scholar
- Parr, A. N., & Shanks, G. (2000). “A taxonomy of ERP implementation approaches”, Proceedings of the 33rd Hawaii International Conference on System Sciences.Google Scholar
- Rahim, M., Shanks, G., & Johnston, R. “Understanding IOS adoption processes in a first-tier automotive supplier company: An application of the theory of IOS adoption motivation”, Proceedings of the 14th European Conference on Information Systems, Paper 11, 2006, http://aisel.aisnet.org/ecis2006/11.
- Ramsey, E., Ibbotson, P., & McCole, P. (2008). Factors that impact technology innovation adoption among Irish professional service sector SMEs. International Journal of Innovation Management, 12(14), 1–26.Google Scholar
- Robert Wood Johnson Foundation. (2006). Health information technology in the United States: The information base for progress, http://www.rwjf.org/files/publications/other/HERReport0609.pdf (last accessed June 14, 2011).
- Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free.Google Scholar
- Scavo, F. “The enterprise system spectator: ERP market on the rebound”, http://fscavo.blogspot.com/2004/05/erp-market-on-rebound.html (last accessed on June 14, 2011).
- Seddon, P. B., Calvert, C., & Yang, S. (2010). A multi-project model of key factors affecting organizational benefits from enterprise systems. MIS Quarterly, 34(2), 305–328.Google Scholar
- Shang, S., & Seddon, P. B. (2000). “A comprehensive framework for classifying the benefits of ERP systems”, Proceedings of the 6th Americas Conference on Information Systems, Long Beach, California.Google Scholar
- Smith, S. P., Rahim, M. M., Shanks, G., & Johnston, R. B. (2008). How organization goals affect interorganization system implementation projects: Evidence and implications. Asia Pacific Management Review, 13(3), 567–581.Google Scholar
- Tornatsky, L., & Fleischer, M. (1990). The processes of technological innovation. New York: Lexington Books.Google Scholar
- Venkatesh, V., Davis, F. D., & Morris, M. G. (2007). Dead or alive? the development, trajectory, and future of technology adoption research. Journal of the Association for Information Systems, 8(4), 267–286.Google Scholar
- World Bank. (2000). “Understanding organizational reforms: The corporatization of public hospitals”, HNP discussion paper.Google Scholar
- Zhang, T., Ramakrishnon, R., & Livny, M. (1996). “BIRCH: An efficient data clustering method for very large databases”, Proceedings of the ACM SIGMOD Conference on Management of Data., Montreal, pp. 103–114.Google Scholar