Journal of Engineering and Applied Sciences

Year: 2016
Volume: 11
Issue: 3
Page No. 644 - 654

Revisiting the UTAUT in Iraq Public Healthcare Sector

Authors : Waleed KH Mohamed Al-Hadban, Shafiz Affendi Mohd Yusof and Kamarul Faizal Hashim

References

Agarwal, R. and J. Prasad, 1998. A conceptual and operational definition of personal innovativeness in the domain of information technology. Inform. Syst. Res., 9: 204-215.
CrossRef  |  Direct Link  |  

Ahn, T., S. Ryu and I. Han, 2007. The impact of Web quality and playfulness on user acceptance of online retailing. Inf. Manage., 44: 263-275.
CrossRef  |  

Al Hilfi, T.K., R. Lafta and G. Burnham, 2013. Health services in Iraq. Lancet, 381: 939-948.
CrossRef  |  Direct Link  |  

Al-Gahtani, S.S., 2008. Testing for the applicability of the TAM model in the Arabic context: Exploring an extended TAM with three moderating factors. Inform. Resour. Manage. J., 21: 1-26.

Al-Gahtani, S.S., G.S. Hubona and J. Wang, 2007. Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Inform. Manage., 44: 681-691.
CrossRef  |  Direct Link  |  

Aldosari, B., 2014. Rates, levels and determinants of electronic health record system adoption: A study of hospitals in Riyadh, Saudi Arabia. Int. J. Med. Inf., 83: 330-342.
CrossRef  |  Direct Link  |  

Ali, A.A., I. Abdulsalam and A.M. Hasan, 2011. Health information system review and assessment. Ministry of Health, Babb AL‐Moadham, Baghdad, Iraq.

Alshehri, M., S. Drew, T. Alhussain and R. Alghamdi, 2012. The effects of website quality on adoption of e-government service: An empirical study applying UTAUT model using SEM. Proceedings of the 23rd Australasian Conference on Information Systems, December 3-5, 2012, Geelong, Australia -.

Avgar, A.C., A.S. Litwin and P.J. Pronovost, 2012. Drivers and barriers in health IT adoption: A proposed framework. Applied Clin. Inform., 3: 488-500.

Bah, S., H. Alharthi and A.A. El Mahalli, 2011. Annual survey on the level and extent of usage of electronic health records in government-related hospitals in Eastern Province, Saudi Arabia. Perspect. Health Inform. Manage., 8: 102-153.
Direct Link  |  

Bennani, A.E. and R. Oumlil, 2013. Factors fostering IT acceptance by nurses in Morocco: Short paper. Proceedings of the IEEE 7th International Conference on Research Challenges in Information Science, May 29-31, 2013, Paris, pp: 1-6.

Bhattacherjee, A., N. Hikmet, N. Menachemi, V.O. Kayhan and R.G. Brooks, 2006. The differential performance effects of healthcare information technology adoption. Inform. Syst. Manage., 24: 5-14.
CrossRef  |  Direct Link  |  

Boonstra, A. and M. Broekhuis, 2010. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Serv. Res. Vol. 1. 10.1186/1472-6963-10-231

Bossen, C., L.G. Jensen and F.W. Udsen, 2013. Evaluation of a comprehensive EHR based on the DeLone and McLean model for IS success: Approach, results and success factors. Int. J. Med. Inform., 82: 940-953.
CrossRef  |  Direct Link  |  

Buntin, M.B., M.F. Burke, M.C. Hoaglin and D. Blumenthal, 2011. The benefits of health information technology: A review of the recent literature shows predominantly positive results. Health Affairs, 30: 464-471.
PubMed  |  

Cash, J., 2008. Technology can make or break the hospital-physician relationship: Contrary to popular myth, physicians are far from being technophobic. Healthcare Financial Manage., 62: 104-110.

Castillo, V.H., A.I. Martinez-Garcia and J.R.G. Pulido, 2010. A knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: A systematic literature review. BMC Med. Inform. Decis. Making, Vol. 10. 10.1186/1472-6947-10-60

Chang, I.C., H.G. Hwang, D.C. Yen and J.W. Lian, 2006. Critical factors for adopting PACS in Taiwan: Views of radiology department directors. Decis. Support Syst., 42: 1042-1053.
CrossRef  |  Direct Link  |  

Chau, P.Y.K. and P.J. Hu, 2002. Examining a model of information technology acceptance by individual professionals: An exploratory study. Manage. Inform. Syst., 18: 191-229.
Direct Link  |  

Chen, R.F. and J.L. Hsiao, 2012. An investigation on physicians' acceptance of hospital information systems: A case study. Int. J. Med. Inform., 81: 810-820.
CrossRef  |  PubMed  |  Direct Link  |  

Chin, W.W., 2010. How to Write Up and Report PLS Analyses. In: Handbook of Partial Least Squares: Concepts, Methods and Application, Vinzi, V.E., W.W. Chin, J. Henseler and H. Wang (Eds.). Springer, New York, USA., ISBN-13: 9783540328254, pp: 655-690.

Cresswell, K. and A. Sheikh, 2013. Organizational issues in the implementation and adoption of health information technology innovations: An interpretative review. Int. J. Med. Inform., 82: e73-e86.
CrossRef  |  Direct Link  |  

Creswell, W.J., 2013. Research Design: Qualitative, Quantitative and Mixed Methods Approaches. Sage Publication, Thousand Oaks, CA., ISBN-13: 9781452226101, Pages: 273.

Daghfous, N., J.V. Petrof and F. Pons, 1999. Values and adoption of innovations: A cross‐cultural study. J. Consum. Market., 16: 314-331.
CrossRef  |  Direct Link  |  

Davis, F.D., 1989. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quart., 13: 319-340.
CrossRef  |  Direct Link  |  

Davis, F.D., R.P. Bagozzi and P.R. Warshaw, 1989. User acceptance of computer technology: A comparison of two theoretical models. Manage. Sci., 35: 982-1003.
CrossRef  |  Direct Link  |  

DeLone, W.D. and E.R. McLean, 2003. The DeLone and McLean model of information systems success: A ten-year update. J. Manage. Inf. Syst., 19: 9-30.
CrossRef  |  Direct Link  |  

DeLone, W.H. and E.R. McLean, 1992. Information systems success: The quest for the dependent variable. Inform. Syst. Res., 3: 60-95.
CrossRef  |  Direct Link  |  

Duyck, P., B. Pynoo, P. Devolder, T. Voet, L. Adang and J. Vercruysse, 2008. User acceptance of a picture archiving and communication system-applying the unified theory of acceptance and use of technology in a radiological setting. Methods Inform. Med., 47: 149-156.
Direct Link  |  

Duyck, P., B. Pynoo, P. Devolder, T. Voet, L. Adang and J. Vercruysse, 2008. User acceptance of a picture archiving and communication system-applying the unified theory of acceptance and use of technology in a radiological setting. Methods Inform. Med., 47: 149-156.
Direct Link  |  

Elrod, J. and I.M. Androwich, 2009. Applying Human Factors Analysis to the Design of the Electronic Health Record. In: Nursing Informatics, Saranto, K. (Ed.). IOS Press, USA., ISBN: 9781607500247, pp: 132-136.

Escobar-Rodriguez, T. and M. Romero-Alonso, 2014. The acceptance of information technology innovations in hospitals: Differences between early and late adopters. Behav. Inform. Technol., 33: 1231-1243.
CrossRef  |  Direct Link  |  

Fishbein, M. and I. Ajzen, 1975. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. 1st Edn., Addison-Wesley, Reading, MA., USA., ISBN-13: 9780201020892, Pages: 578.

Fornell, C. and D.F. Larcker, 1981. Evaluating structural equation models with unobservable variables and measurement error. J. Market. Res., 18: 39-50.
CrossRef  |  Direct Link  |  

Frame, J., J. Watson and K. Thomson, 2008. Deploying a culture change programme management approach in support of information and communication technology developments in Greater Glasgow NHS Board. Health Inform. J., 14: 125-139.
CrossRef  |  Direct Link  |  

Gagnon, M.P., M. Desmartis, M. Labrecque, J. Car and C. Pagliari et al., 2012. Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals. J. Med. Syst., 36: 241-277.
CrossRef  |  

Gagnon, M.P., N. Shaw, C. Sicotte, L. Mathieu and Y. Leduc et al., 2009. User's perspectives of barriers and facilitators to implementing EHR in Canada: A study protocol. Implement. Sci., Vol. 4. 10.1186/1748-5908-4-20

Greenhalgh, T. and R. Stones, 2010. Theorising big IT programmes in healthcare: Strong structuration theory meets actor-network theory. Social Sci. Med., 70: 1285-1294.
CrossRef  |  

Hair, J.F., C.M. Ringle and M. Sarstedt, 2011. PLS-SEM: Indeed a silver bullet. J. Market. Theory Pract., 19: 139-152.
CrossRef  |  Direct Link  |  

Hair, J.F., G.T.M. Hult, C.M. Ringle and M. Sarstedt, 2014. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publication, Thousand Oaks, CA., USA., ISBN-13:9781452217444, Pages: 328.

Hair, Jr., J.F., M. Sarstedt, L. Hopkins and V.G. Kuppelwieser, 2014. Partial Least Squares Structural Equation Modeling (PLS-SEM): An emerging tool in business research. Eur. Bus. Rev., 26: 106-121.
CrossRef  |  Direct Link  |  

Herricck, D.M., L. Gorman and J.C. Goodman, 2010. Health information technology: Benefits and problems. http://www.ncpa.org/pub/st327.

Holden, R.J. and B.T. Karsh, 2010. The technology acceptance model: Its past and its future in health care. J. Biomed. Inform., 43: 159-172.
CrossRef  |  

Hu, H.F., S.S. Al-Gahtani and P.J.H. Hu, 2010. Examining gender effects in technology acceptance by Arabian workers: A survey study. Proceedings of the Pacific Asia Conference on Information Systems, July 9-12, 2010, Taiwan -.

Hung, S.Y., J.C.A. Tsai and C.C. Chuang, 2014. Investigating primary health care nurses' intention to use information technology: An empirical study in Taiwan. Decis. Support Syst., 57: 331-342.
CrossRef  |  Direct Link  |  

Ifinedo, P., 2012. Technology acceptance by health professionals in Canada: An analysis with a modified UTAUT model. Proceedings of the 45th Hawaii International Conference on System Science, January 4-7, 2012, Maui, HI., pp: 2937-2946.

Irani, Z. and P. Love, 2008. Evaluating Information Systems: Public and Private Sector. Routledge, New York, ISBN: 9780750685870, Pages: 347.

Jeyaraj, A., J.W. Rottman and M.C. Lacity, 2006. A review of the predictors, linkages and biases in IT innovation adoption research. J. Inform. Technol., 21: 1-23.
CrossRef  |  Direct Link  |  

Kaplan, B. and K.D. Harris-Salamone, 2009. Health IT success and failure: Recommendations from literature and an AMIA workshop. J. Am. Med. Inform. Assoc., 16: 291-299.
CrossRef  |  Direct Link  |  

Khayyat, N.T. and A. Heshmati, 2013. Determinants of mobile telecommunication adoption in Kurdistan. Int. J. Commun., 7: 2285-2311.
Direct Link  |  

Kijsanayotin, B., S. Pannarunothai and S.M. Speedie, 2009. Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model. Int. J. Med. Inform., 78: 404-416.
CrossRef  |  Direct Link  |  

Kitsiou, S., V. Manthou, M. Vlachopoulou and A. Markos, 2010. Adoption and sophistication of clinical information systems in Greek public hospitals: Results from a national web-based survey. Proceedings of the 12th Mediterranean Conference on Medical and Biological Engineering and Computing, May 27-30, 2010, Chalkidiki, Greece, pp: 1011-1016.

Koivunen, M., M. Valimaki, A. Koskinen, N. Staggers and J. Katajisto, 2009. The impact of individual factors on healthcare staff's computer use in psychiatric hospitals. J. Clin. Nurs., 18: 1141-1150.
CrossRef  |  Direct Link  |  

Lewis, W., R. Agarwal and V. Sambamurthy, 2003. Sources of influence on beliefs about information technology use: an empirical study of knowledge workers. MIS Q., 27: 657-678.
Direct Link  |  

Lin, P.C., H.K. Lu and C. Liu, 2013. Towards an education behavioral intention model for e-learning systems: An extension of UTAUT. J. Theor. Applied Inform. Technol., 47: 1120-1127.
Direct Link  |  

Liu, L., A.M. Cruz, A.R. Rincon, V. Buttar, Q. Ranson and D. Goertzen, 2015. What factors determine therapists' acceptance of new technologies for rehabilitation-a study using the Unified Theory of Acceptance and Use of Technology (UTAUT). Disabil. Rehabil., 37: 447-455.
CrossRef  |  Direct Link  |  

McGinn, C.A., S. Grenier, J. Duplantie, N. Shaw and C. Sicotte et al., 2011. Comparison of user groups' perspectives of barriers and facilitators to implementing electronic health records: A systematic review. BMC Med., Vol. 9. 10.1186/1741-7015-9-46

Menachemi, N., A. Langley and R.G. Brooks, 2007. The use of information technologies among rural and urban physicians in Florida. J. Med. Syst., 31: 483-488.
CrossRef  |  Direct Link  |  

Moore, G.C. and I. Benbasat, 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Inform. Syst. Res., 2: 192-222.
CrossRef  |  Direct Link  |  

Najaftorkaman, M., A.H. Ghapanchi, A. Talaei‐Khoei and P. Ray, 2015. A taxonomy of antecedents to user adoption of health information systems: A synthesis of thirty years of research. J. Assoc. Inform. Sci. Technol., 66: 576-598.
CrossRef  |  Direct Link  |  

Niazkhani, Z., H. Pirnejada, A. de Bonta and J. Aartsa, 2008. Evaluating Inter-Professional Work Support by a Computerized Physician Order Entry (CPOE) System. In: EHealth Beyond the Horizon: Get IT There, Anderson, S.K. (Ed.). IOS Press, USA., ISBN: 9781586038649, pp: 321-326.

Nieboer, M.E., J. van Hoof, A.M. van Hout, S. Aarts and E.J.M. Wouters, 2014. Professional values, technology and future health care: The view of health care professionals in The Netherlands. Technol. Soc., 39: 10-17.
CrossRef  |  Direct Link  |  

Novak, L.L., S. Anders, C.S. Gadd and N.M. Lorenzi, 2012. Mediation of adoption and use: A key strategy for mitigating unintended consequences of health IT implementation. J. Am. Med. Inform. Assoc., 19: 1043-1049.
CrossRef  |  Direct Link  |  

Petter, S., W. DeLone and E. McLean, 2008. Measuring information systems success: Models, dimensions, measures and interrelationships. Eur. J. Inform. Syst., 17: 236-263.
CrossRef  |  Direct Link  |  

Pirnejad, H., Z. Niazkhani, H. van der Sijs, M. Berg and R. Bal, 2009. Evaluation of the impact of a CPOE System on Nurse-physician communication. Methods Inform. Med., 48: 350-360.

Rigby, M., 2006. Essential prerequisites to the safe and effective widespread roll-out of e-working in healthcare. Int. J. Med. Inform., 75: 138-147.
CrossRef  |  Direct Link  |  

Ringle, C.M., S. Wende and A. Will, 2005. SmartPLS 2.0 (beta). Hamburg, Germany. http://www.smartpls.de/.

Rogers, E.M., 1995. Diffusion of Innovations. Free Press, New York, pp: 1002-1037.

Sekaran, U. and R. Bougie, 2010. Research Methods for Business: A Skill Building Approach. 5th Edn., John Wiley and Sons, New York, USA., ISBN-13: 9780470744796, Pages: 488.

Shaper, L.K. and G.P. Pervan, 2007. ICT and OTS: A model of information and communication technology acceptance and utilisation by occupational therapist. Int. J. Med. Inform., 76: S212-S221.
CrossRef  |  Direct Link  |  

Thakur, R., S.H. Hsu and G. Fontenot, 2012. Innovation in healthcare: Issues and future trends. J. Bus. Res., 65: 562-569.
CrossRef  |  Direct Link  |  

Thompson, T.G. and D.J. Brailer, 2004. The decade of health information technology: Delivering consumer-centric and information-rich health care. US Department of Health and Human Services, Washington, DC., USA.

Torda, P., E.S. Han and S.H. Scholle, 2010. Easing the adoption and use of electronic health records in small practices. Health Affairs, 29: 668-675.
CrossRef  |  Direct Link  |  

Venkatesh, V. and F.D. Davis, 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Manage. Sci., 46: 186-204.
CrossRef  |  Direct Link  |  

Venkatesh, V. and H. Bala, 2008. Technology acceptance model 3 and a research agenda on interventions. Decis. Sci., 39: 273-315.
CrossRef  |  Direct Link  |  

Venkatesh, V. and X. Zhang, 2010. Unified theory of acceptance and use of technology: U.S. vs. China. J. Global Inform. Technol. Manage., 13: 5-27.
CrossRef  |  Direct Link  |  

Venkatesh, V., J.Y. Thong and X. Xu, 2012. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS. Q., 36: 157-178.
Direct Link  |  

Venkatesh, V., M.G. Morris, G.B. Davis and F.D. Davis, 2003. User acceptance of information technology: Toward a unified view. MIS Quart., 27: 425-478.
CrossRef  |  Direct Link  |  

Venkatesh, V., T. Sykes and X. Zhang, 2011. Just what the doctor ordered: A revised UTAUT for EMR system adoption and use by doctors. Proceedings of the 44th Hawaii International Conference on System Sciences, January 4-7, 2011, Kauai, HI., USA., pp: 1-10.

Wells, J.D., D.E. Campbell, J.S. Valacich and M. Featherman, 2010. The effect of perceived novelty on the adoption of information technology innovations: A risk/reward perspective. Decis. Sci., 41: 813-843.
CrossRef  |  Direct Link  |  

Wu, J.H., S.C. Wang and L.M. Lin, 2007. Mobile Computing acceptance factors in the healthcare industry: A structural equation model. Int. J. Med. Inform., 76: 66-77.
Direct Link  |  

Yousafzai, S. and M. Yani-de-Soriano, 2012. Understanding customer-specific factors underpinning internet banking adoption. Int. J. Bank Market., 30: 60-81.
CrossRef  |  Direct Link  |  

Yu, C.S., 2012. Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. J. Electron. Commerce Res., 13: 104-121.
Direct Link  |  

Yusof, M.M., J. Kuljis, A. Papazafeiropoulou and L.K. Stergioulas, 2008. An evaluation framework for health information systems: Human, organization and technology-fit factors (HOT-fit). Int. J. Med. Inform., 77: 386-398.
CrossRef  |  Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved