State of Content: Healthcare Executive’s Role in Information Technology Adoption


Over the past 30 years, researchers have demonstrated that health care information technology (HIT) can improve patient safety and quality of care. More recently, attention has turned increasingly to the role of information and communication technology as a means to improve clinical decision-making as well as organizational efficiency and effective- ness. Despite these streams of research, there is a lack of investigation that look at why and how health care executives leverage HIT. In this paper, the researchers investigate factors that may have an impact on health care executives’ intentions to further adopt HIT in their workplace. The analysis of collected data suggests that these factors play a significant role in increased HIT adoption in the future.

Share and Cite:

N. Hikmet, S. Banerjee and M. Burns, "State of Content: Healthcare Executive’s Role in Information Technology Adoption," Journal of Service Science and Management, Vol. 5 No. 2, 2012, pp. 124-131. doi: 10.4236/jssm.2012.52016.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] A. Bharadwaj, “A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation,” MIS Quarterly, Vol. 24, No. 1, 2000, pp. 169-196. doi:10.2307/3250983
[2] Agency for Health care Research and Quality, “Demonstrating the Value of Health Information Technology,” 2003
[3] U.S. Congress, Office of Technology Assessment, “Bringing Health Care Online: The Role of information Technologies,” U.S. Government Printing Office, Washington DC, 1995.
[4] Agency for Health Care Policy and Research, “Effective Dissemination of Health and Clinical Information and Research Findings,” U.S. Department of Health and Human Services, Washington DC, 1998.
[5] J. Glaser, “The Myths of Benchmarking Healthcare IT Spending,” Healthcare Financial Management, Vol. 60, No. 10, 2006, pp. 56-59.
[6] Health IT, “Health Information Technology for the Future of Health and Care,”
[7] K. Altinkemer, Y. Ozcelik, and Z. Ozdemir, “Productivity and Performance Effects of IT-Enabled Reengineering: A Firm-Level Analysis,” Proceedings of the 15th European Conference on Information Systems, Geneva, 10-14 September 2007, pp. 985-993.
[8] A. M. Jonson and A. L. Lederer, “The Impact of Communications between CEOs and CIOs on Their Shared Views of the Current and Future Role of IT,” Information Systems Management, Vol. 24, No. 1, 2007, pp. 85-90. doi:10.1080/10580530601038246
[9] N. Hikmet and M. Burns, “Health Care Executives: The Association between External Factors, Use, and Their Perceptions of Health Information Technology,” Proceedings of the Tenth Americas Conference on Information Systems, New York, 5-8 August 2004, pp. 220-227.
[10] N. Hikmet, J. Perols, J. Griffith, D. Nagy, A. Bhattacherjee and R. Fuller, “A Survey of Health Care Information Technology Research in the IS Literature,” White Paper, 2005.
[11] S. Bretschneider and D. Wittmer, “Organizational Adoption of Microcomputer Technology: The Role of Sector,” Information Systems Research, Vol. 4, No. 1, 1993, pp. 88-108. doi:10.1287/isre.4.1.88
[12] C. R. Franz and C. Robey, “Organizational Context, User Involvement, and the Usefulness of Information Systems,” Decision Sciences, Vol. 17, No. 3, 1986, pp. 329- 356. doi:10.1111/j.1540-5915.1986.tb00230.x
[13] M. Igbaria, N. Zinatelli, P. Cragg and A. L. M.Cavaye, “Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model,” MIS Quarterly, Vol. 21, No. 3, 1997, pp. 279-305. doi:10.2307/249498
[14] J. Y. L. Thong and C. S. Yap, “CEO Characteristics, Organizational Characteristics and Information Technology Adoption in Small Businesses,” Omega, Vol. 23, No. 4, 1995, pp. 429-442. doi:10.1016/0305-0483(95)00017-I
[15] Bates, D. W., “Using information technology to reduce rates of medication errors in hospitals,” British Medical Journal, Vol. 320, No. 7237, 2000, pp. 788-791. doi:10.1136/bmj.320.7237.788
[16] R. Kaushal, K. Shojania and D. W. Bates, “Effects of Computerized Physician Order Entry and Clinical Decision Support Systems on Medication Safety,” Archives of Internal Medicine, Vol. 163, No. 12, 2003, pp. 1409-1416. doi:10.1001/archinte.163.12.1409
[17] J. A. Menke, C. W. Broner, D. Y. Campbell, M. Y. McKissick and J. A. Edwards-Beckett, “Computerized Clinical Documentation System in the Pediatric Intensive Care Unit,” BMC Medical Information Decision Making, Vol. 1, No. 3, 2001. doi:10.1186/1472-6947-1-3
[18] M. K. Pabst, J. C. Scherubel and A. F. Minnick, “The Impact of Computerized Documentation on Nurses’ Use of Time,” Computers in Nursing, Vol. 14, No. 1, 1996, pp. 25-30.
[19] N. Menachemi, J. Burkhardt, R. Shewchuk, D. Burke and R. G. Brooks, “Hospital Information Technology and Positive Financial Performance: A different approach to ROI,” Journal of Healthcare Management, Vol. 51, No. 1, 2006, pp. 40-58.
[20] R. L. Ohsfeldt, M. M. Ward, J. E. Schneider, M. Jaana, T. R. Miller, Y. Lei, et al., “Implementation of Hospital Computerized Physician Order Entry Systems in a Rural State: Feasibility and Financial Impact,” Journal of American Medical Informatics Association, Vol. 12, No. 1, 2005, pp. 20-27. doi:10.1197/jamia.M1553
[21] D. Burke, N. Menachemi and R. G. Brooks, “Diffusion of Information Technology Supporting the Institute of Medicine’s Quality Chasm Care Aims,” Journal of Healthcare Quality, Vol. 27, No. 1, 2005, pp. 24-32. doi:10.1111/j.1945-1474.2005.tb00542.x
[22] N. Hikmet and A. Bhattacherjee, “The Impact of Professional Certifications on Healthcare Information Technology Use,” International Journal of Healthcare Systems and Informatics, Vol. 1, No. 3, 2006, pp. 58-68.
[23] E. M. Rogers, “Diffusion of Innovation,” 4th Edition, The Free Press, New York, 1995.
[24] M. J. Ginzberg, “Early Diagnosis of MIS Implementation Failure: Promising Results and Unanswered Questions,” Management Science, Vol. 27, No. 4, 1981, pp. 459-478. doi:10.1287/mnsc.27.4.459
[25] B. Ives, M. H. Olson and J. J. Baroudi, “The Measurement of User Information Satisfaction,” Communications of the ACM, Vol. 26, No. 10, 1983, pp. 785-793. doi:10.1145/358413.358430
[26] A. Bhattacherjee and G. Premkumar, “Understanding Changes in Belief and Attitude toward Information Technology Usage: A Theoretical Model and Longitudinal Test,” MIS Quarterly, Vol. 28, No. 2, 2004, pp. 229-254.
[27] F. D. Davis, R. P. Bagozzi and P. R. Warshaw, “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,” Management Science, Vol. 35, No. 8, 1989, pp. 982-1003. doi:10.1287/mnsc.35.8.982
[28] A. Bandura, “Self-Efficacy: The Exercise of Control,” W. H. Freeman and Company, New York, 1997.
[29] D. A. Harrison, P. P. Mykytyn, Jr. and C. K. Reimenschneider, “Executive Decisions about Adoption of In- formation Technology in Small Business: Theory and Empirical Test,” Information Systems Research, Vol. 8, No. 2, 1997, pp. 171-195. doi:10.1287/isre.8.2.171
[30] S. Taylor and P. Todd, “Assessing IT Usage: The Role of Prior Knowledge,” MIS Quarterly, Vol. 19, No. 4, 1995, pp. 561-570. doi:10.2307/249633
[31] B. H. Wixom and B. H. Todd, “Theoretical integration of user satisfaction and technology acceptance,” Information Systems Research, Vol. 16, No. 1, 2005, pp. 85-102. doi:10.1287/isre.1050.0042
[32] A. Bhattacherjee, “Understanding Information Systems Continuance: An Expectation-Confirmation Model,” MIS Quarterly, Vol. 25, No. 3, 2001, pp. 351-370. doi:10.2307/3250921
[33] J. E. Bailey and S. W. Pearson, “A Tool for Computer User Satisfaction,” Management Science, Vol. 29, No. 5, 1983, pp. 530-545. doi:10.1287/mnsc.29.5.530
[34] N. P. Melone, “A Theoretical Assessment of the User- Satisfaction Construct in Information Systems Research,” Management Science, Vol. 36, No. 1, 1990, pp. 76-91. doi:10.1287/mnsc.36.1.76
[35] D. A. Dillman, “Mail and Telephone Surveys,” John Wiley & Sons, New York, 1978.
[36] D. Burke, B. Wang, T. Wan and M. Diana, “Exploring Hospitals’ Adoption of Information Technology,” Journal of Medical Systems, Vol. 26, No. 4, 2002, pp. 349- 355. doi:10.1023/A:1015872805768
[37] N. Hikmet and S. K. Chen, “An Investigation into Low Mail Survey Response Rates of Information Technology Users in Health Care Organizations,” International Journal of Medical Informatics, Vol. 72, No. 1, 2003, pp. 29- 34. doi:10.1016/j.ijmedinf.2003.09.002

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.