Employee Acceptance of E-Health and Its Implication for Performance in Specialist Hospitals in Ondo State, Nigeria

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  •   Modupe Olayinka Ajayi

  •   Angela Nneka Abasilim

  •   David D. Adejumo

Abstract

The study examined e-health (ICT) acceptance on employee performance in Ondo State specialist hospitals. The study investigated the challenges facing acceptance of e-health by employees of state specialist hospitals and also examined the effect of acceptance of e-health on the performance of employees in state specialist hospitals. The purpose was to access how ehealth can help improve service delivery in teaching hospitals in the study area. The work is anchored on the Technology Acceptance Model (TAM) which is an adoption model focusing on users’ acceptance of information systems or computer technologies. The aim of this theory is to describe factors that determine technology acceptance and information technology usage behavior. Primary data was used for the study. The questionnaire was used for the collection of data. The number of respondents for the study is 318. Descriptive and inferential statistics were used for data analysis. The research findings using descriptive analysis showed that a lot of challenges exist and affect the degree of acceptance of e-health by the employees in the study area. The result also showed that e-health (ICT) acceptance has a positive significant effect on employee performance in the state specialist hospitals in the study area. The hypothesis stated was tested at a 0.05 level of significance to determine the effect of e-health acceptance on employees’ performance using regression analysis and it was rejected because the pvalue was less than 0.05 (Beta=0.208, t=7.149, Sig=0.000, p<0.05). The study, therefore, concludes that there are challenges that affect the acceptance of ehealth (ICT) and that there is a significant positive effect of e-health acceptance and performance of employees in the state specialist hospitals in Ondo State, Nigeria.


Keywords: Electronic-health (e-health), Employee Performance, ICT, ICT Acceptance, Specialist Hospitals.

References

Armstrong, M. (2009). Human Resource Management Practice. London: Kogan. Pages unlimited.

Blava, P., Wyatt, J. C., & Garvican, L. (2010). Evaluating Computerised Health Information Systems: Hard Lessons Still to be Learnt. BMJ 326, 860-3.

Bukachi, F. & Pakenham-Walsh, N. (2017). Information Technology for Health In Developing Countries. Chest, 132, 1624-1630.

Chandrasekar, K. (2011). Workplace Environment and its Impact on Organizational Performance in Public Sector Organizations, International Journal of Enterprise Computing and Business Systems, 1(1).

Curry, P., & Finn, J. W. (2009). Deviance and medicalization: From badness to sickness: Temple Univ Pr.

Davis, J. (2006) Internet use and non-use among urban microenterprises in the developing world: An update from India. Australia: Brisbane.

Denis, P. (2013). The e-health agenda for developing countries. World Hospitals and Health Services, 41(4): 38-40.

Duan, Y., Mullins, R., Hamblin, D., Stanek, S., Sroka, H., Mavhado, V., & Araujo, J. (2002). Addressing ICTs Skill Challenges in SMEs: Insights from three country investigations. Journal of European Industrial Training, 26(9), 430-441

Dillon, A., & Morris, M. G. (1996). User acceptance of new information technology: Theories and Models. In Annual review of information science and technology, Medford, NJ: Information Today.

Drury, P. (2015). The e-health agenda for developing countries. World Hospitals and Health Services, 38-40.

Dyerson. R., Harindranath, G., & Barnes, D. (2009). National Survey of SMEs’ Use of IT in Four Sectors. The Electronic Journal Information Systems Evaluation, 12(1), 39-50.

European Commission. (2012). What is eHealth? ICT for health, Europe’s Information Society. Retrieved from: http://ec.europa.eu/information_society/activities (accessed 25 August 2015).

Garber, G. M., Anon, C. & Bukachi, F. (2010). Utilization of ICTs for accessing Health Information by Medical Professionals in Kenya: A Case Study of Kenyatta National Hospital. Journal of Health Informatics in Developing Countries.

Hauseer, J. R., & Shugan, S. M. (1980). Intensity measures of consumer preference. Operations Research, 28(2), 278-320.

Hazbo. S., Arnela, C., & Chun-yan, H. (2008). ICT Adoption Model of Chinese MSMEs. International Journal of Business Research, 44(2008) 161-165.

Hunter, J. E. (2016). Cognitive Ability, Cognitive Aptitudes, Job Knowledge, and Job Performance. Journal of Vocational Behavior, 29, 340-362.

Joaquine, R., Hardey, M., & Baton, K. (2010). "E-health": the internet and the transformation of patients into consumers and producers of health knowledge. Information, Communication and Society, 4(3), 388-405.

Kuhn, K., Peacock, E., & Chin, W. W. (2014). Extending the technology acceptance model: the influence of perceived user resources. ACM SIGMIS Database, 32, 86-112.

Larcker, D.F, & Lessig, V. P. (1980). Perceived Usefulness of Information: A Psychometric Examination. Decision Sciences, 11(1), 121-134.

Markel, A. (2004). Information and communication technologies for the developing world. Health communication insights. Baltimore: Health Communication Partnership based at Johns Hopkins Bloomberg School of Public Health/Center for Communication Programs.

Mitchell, J., John Mitchell & Associates, Australia. Department of Communications, I. T. and the A., & Australia. National Office for the Information Economy. (1999). From Telehealth to E-health: The Unstoppable Rise of E-health. Department of Communications, Information Technology and the Arts.

Mugenda, O. M. & Mugenda, A. G. (2003). Research methods: Quantitative and qualitative Approaches. Nairobi: African Centre for Technology Studies.

Otley, D. (2019). Performance management: a framework for management control systems research. Management Accounting Research, 10, 363-382.

Stup, R. (2013). Control the factors that influence employee success. Managing the Hispanic workforce Conference. Cornell University and Pennsylvania State University.

Torrington, D., Laura, H. & Taylor, S. (2018). Human Resources Management (7th Edition). Pearson Education Limited: Great Britain.

Truong, C. N. (2012). The Impact of organizational factors on employees’ performance in Vietnamese Companies. University of Economics HO CHI MINH CITY.

Turan, A. T., & Urkmez, T. (2010). Information Technology Satisfaction of Small and Medium Sized Enterprises in Turkey. International Bulletin of Business Administration, 9(2010), 43-55.

WHO (2005). Health information systems in support of the Millennium Development. Goals Report by the Secretariat, SIXTIETH WORLD HEALTH ASSEMBLY A60/22.

Wooton, R., Craig, J., & Patterson, V. (2006). Introduction to telemedicine. London: The Royal Society and Medicine Press.

World Health Organization (WHO). (2013) E-health. Retrieved from: http://www.who.int/topics/ehealth/en/. Accessed on: 10th April 2015.

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How to Cite
Ajayi, M. O., Abasilim, A. N., & Adejumo, D. D. (2022). Employee Acceptance of E-Health and Its Implication for Performance in Specialist Hospitals in Ondo State, Nigeria. European Journal of Business and Management Research, 7(5), 242–249. https://doi.org/10.24018/ejbmr.2022.7.5.1286