ENTERPRISE RESOURCE PLANNING SYSTEM ADOPTION AMONG HEALTHCARE FACILITIES IN KENYA; THE ROLE OF USER CHARACTERISTICS

DAWIT WONDWOSSEN BEZUNEH, DR. JOSEPH N. KAMAU (PhD), DR. JIMMY MACHARIA (PhD)

Abstract


The purpose of the study was to determine the role of user characteristics on Enterprise Resource Planning systems in healthcare facilities in Kenya. The study applied positivism research philosophy and descriptive cross-sectional design with target population constituted of the executives of the healthcare organizations from level 4, 5 and 6 hospitals registered in the Kenya Medical Practitioners and Dentists Board based on 2021 data base. A structured questionnaire that contained closed ended questions was used to collect data from the respondents. Data collected was analyzed using logistic regression analysis at a 95% confidence interval in order to examine significance of the relationships between the variables and to test the hypotheses. Analyzed data was presented using tables and figures for ease of interpretation. User characteristics were found to be insignificant in influencing adoption of ERP system among health care facilities in Kenya, the study recommended that proper education and sensitization programs including training and seminars should be carried out to health facilities personnel in order to inculcate a user's confidence in their ability to use a technology like ERP systems. The study further recommended that appropriate change management policies need to be applied to facilitate the technical and health care facilities adoption of ERP the system as a function of an ERP implementation strategy.

Key words: User characteristics, ERP system adoption, Health care facilities

CITATION:  Bezuneh, D. W., Kamau, J. N., Macharia, J. (2021). Enterprise resource planning system adoption among healthcare facilities in Kenya; The role of user characteristics. The Strategic Journal of Business & Change Management, 8 (4), 974 – 986.


Full Text:

PDF

References


Ali, M., & Miller, L. (2017). ERP system implementation in large enterprises – a systematic literature review. Journal of Enterprise Information Management, 30(4), 666–692.

Almajali, D. A., Masa’deh, R., & Tarhini, A. (2016). Antecedents of ERP systems implementation success: a study on Jordanian healthcare sector. Journal of Enterprise Information Management, 29(4), 549–565.

Almubideen, S. S., Fannas, E. J. A., Alsawalqah, H. I., Al Hassan, M., Zamzeer, M., & Alshamaileh, Y. (2020). Determinants of cloud ERP adoption in Jordan: an exploratory study. International Journal of Business Information Systems, 34(2), 204.

Ameen, N., Tarhini, A., Hussain Shah, M., & Madichie, N. O. (2020). Employees’ behavioural intention to smartphone security: A gender-based, cross-national study. Computers in Human Behavior, 104, 106184.

Amini, M., & Sadat Safavi, N. (2013). Critical Success Factors for ERP Implementation. SSRN Electronic Journal, 5(16), 1–23.

Awa, H. O., Ojiabo, O. U., & Orokor, L. E. (2017). Integrated technology-organization-environment (T-O-E) taxonomies for technology adoption. Journal of Enterprise Information Management, 30(6), 893–921.

Awa, H. O., Ukoha, O., & Emecheta, B. C. (2016). Using T-O-E theoretical framework to study the adoption of ERP solution. Cogent Business and Management, 3(1), 1–23.

Duncan, T., Rahim, E., & Burrell, D. (2018). Challenges in Healthcare Post-EMR Adoption. Thirteenth Midwest Association for Information Systems Conference.

Dwivedi, Y. K., Ramdani, B., Williams, M. D., Mitra, A., Sukumar, R., & Williams, J. (2013). Factors contributing to successful ERP implementation in locally-owned and multinational firms in India. International Journal of Indian Culture and Business Management, 6(4), 458.

Edirisinghe, S. D., & Roshantha, L. M. D. (2018). Statistical Analysis on Enterprise Resource Planning Systems ( ERP ) On End User Satisfaction. Journal of Business and Management (IOSR-JBM), 20(7), 24–34.

Fijorek, K., & Sokolowski, A. (2012). Separation-Resistant and Bias-reduced Logistic Regression: STASTICA macro. Journal of Statistical Software; April 2012, Volume 47, Code Snippet 2.

Haberli, C., Oliveira, T., & Yanaze, M. (2017). Understanding the determinants of adoption of enterprise resource planning (ERP) technology within the agrifood context: The case of the Midwest of Brazil. International Food and Agribusiness Management Review, 20(5), 729–746.

Khanna, K. (2012). Choosing an Appropriate ERP Implementation Strategy. IOSR Journal of Engineering, 02(03), 478–483.

Kharuddin, S., Foong, S. Y., & Senik, R. (2015). Effects of decision rationality on ERP adoption extensiveness and organizational performance. Journal of Enterprise Information Management, 28(5), 658–679.

Kruse, C. S., DeShazo, J., Kim, F., & Fulton, L. (2014). Factors associated with adoption of health information technology: a conceptual model based on a systematic review. JMIR medical informatics, 2(1), e9.

Kulikov, I., Semin, A., Skvortsov, E., Ziablitckaia, N., & Skvortsova, E. (2020).

Kumar Ranjit. (2019). Research Methodology: A Step-by-Step Guide for Beginners - Ranjit Kumar - Google Books. In SAGE.

Liang, Y., Qi, G., Wei, K., & Chen, J. (2017). Exploring the determinant and influence mechanism of e-Government cloud adoption in government agencies in China. Government Information Quarterly, 34(3), 481–495.

Lutfi, A. (2020). Investigating the moderating role of environmental uncertainty between institutional pressures and ERP adoption in Jordanian SMEs. Journal of Open Innovation: Technology, Market, and Complexity, 6(3).

Mahar, F., Ali, S. I., Jumani, A. K., & Khan, M. O. (2020). ERP System Implementation: Planning, Management, and Administrative Issues. Indian Journal of Science and Technology, 13(1), 106–122.

Mahmood, F., Khan, A. Z., & Bokhari, R. H. (2019). ERP issues and challenges: a research synthesis. Kybernetes, 49(3), 629–659.

Mdima, B., Mutagahywa, B., Mohamed, J., & Mahabi, V. (2017). Conceptual Framework for Understanding of the Pre -Implementation Phase of ERP Projects in Tanzania. Journal of Multidisciplinary Engineering Science and Technology (JMEST), 4(9), 2458–9403.

Meng, Y., & Sun, Q. (2019). Path Analysis of Building Organizational Dual Abilities from the Perspective of Dynamic Capability Theory. 376(Sschd), 509–515.

Min, S., So, K. K. F., & Jeong, M. (2019). Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model. Journal of Travel and Tourism Marketing, 36(7), 770–783.

Mostert-Phipps, N., Pottas, D., & Korpela, M. (2013). A South African perspective on factors that impact on the adoption and meaningful use of health information technologies. South African Family Practice, 55(6), 545–554.

Roztocki, N., Soja, P., & Weistroffer, H. R. (2020). Enterprise systems in transition economies: research landscape and framework for socioeconomic development. Information Technology for Development, 26(1), 1–37.

Ryan, G. (2018a). Introduction to positivism, interpretivism and critical theory. In Nurse Researcher.

Ryan, G. (2018b). Introduction to positivism, interpretivism and critical theory. In Nurse Researcher.

Shim, S. J., & Shim, M. K. (2020). Effects of user perceptions of SAP ERP system on user learning and skills. Journal of Computing in Higher Education, 32(1), 41–56.

Slattery, P., Vidgen, R., & Finnegan, P. (2020). Persuasion: An analysis and common frame of reference for is research. Communications of the Association for Information Systems, 46, 30–69.

Talebian, A., & Mishra, S. (2018). Predicting the adoption of connected autonomous vehicles: A new approach based on the theory of diffusion of innovations. Transportation Research Part C: Emerging Technologies, 95(June), 363–380.

Tarafdar, M., & Roy, R. K. (2003). Analyzing the adoption of enterprise resource planning systems in Indian organizations: A process framework. Journal of Global Information Technology Management, 6(1), 31–51.

Taufiq, A., & Siddiqui, D. A. (2021). Exploring the Post Implementation Impact of Enterprise Resource Planning (ERP) System on End Users’ Performance with the Complementary Role of Demographic Characteristics: Evidence from Pakistan. SSRN Electronic Journal.

Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic management journal, 18(7), 509-533.

Teotia, Dr. S., Panwar, S., & Sirohi, H. (2021). Use and Implementation of an ERP to Enhance Security. SSRN Electronic Journal.

Tome Mr, L., Johnston Prof, K. A., Meadows Mrs, A., & Nyemba-Mudenda Ms, M. (2014). Barriers to Open Source ERP Adoption in South Africa. The African Journal of Information Systems, 6(2), 1.

Tuti, T., Bitok, M., Paton, C., Makone, B., Malla, L., Muinga, N., ... & English, M. (2016). Innovating to enhance clinical data management using non-commercial and open source solutions across a multi-center network supporting inpatient pediatric care and research in Kenya. Journal of the American Medical Informatics Association, 23(1), 184-192.

Voronkova, O. V., Kurochkina, A. A., Firova, I. P., & Bikezina, T. V. (2017). Implementation of an information management system for industrial enterprise resource planning. Espacios, 38(49).

Wagaw, M. (2017). Acceptance of homegrown enterprise resource planning (ERP) systems in Ethiopia. Applied Informatics, 4(1). https://doi.org/10.1186/s40535-017-0034-5

Wanyoike, D. M., Mukulu, E., & Waititu, A. G. (2012). ICT Attributes as Determinants of Internet Social Adoption by Formal Small Enterprises in Urban Kenya. International Journal of Arts and Commerce, 1(7), 65–74.

Weeger, A., Wang, X., & Gewald, H. (2016). It consumerization: Byod-program acceptance and its impact on employer attractiveness. Journal of Computer Information Systems, 56(1).

World Health Organization. (2010). World Malaria Report. In World Health: Vol. WHO/HTM/GM (Issue December).

Yaw Asabere, N., Doku, V., Kusi-Sarpong, S., & Oppong, D. (2014). Adopting Electronic Business in Ghana: Story of the Hospitality Industry. International Journal of Computer Applications, 85(4), 1–9.




DOI: http://dx.doi.org/10.61426/sjbcm.v8i4.2154

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

PAST ISSUES:
20242023202220212020201920182017201620152014
Vol 11, No 2 [2024]Vol 10, No 4 [2023]Vol 9, No 4 [2022]Vol 8, No 4 [2021]Vol 7, No 4 [2020]Vol 6, No 4 [2019]Vol 5, No 4 [2018]Vol 4, No 4 [2017]Vol 3, No 4 [2016]Vol 2, No 2 [2015]Vol 1, No 2 [2014]
 Vol 11, No 1 [2024] Vol 10, No 3 [2023] Vol 9, No 3 [2022]Vol 8, No 3 [2021]Vol 7, No 3 [2020]Vol 6, No 3 [2019]Vol 5, No 3 [2019]Vol 4, No 3 [2017]Vol 3, No 3 [2016]Vol 2, No 1 [2015]Vol 1, No 1 [2014]
  Vol 10, No 2 [2023] Vol 9, No 2 [2022]Vol 8, No 2 [2021]Vol 7, No 2 [2020]Vol 6, No 2 [2019]Vol 5, No 2 [2018]Vol 4, No 2 [2017]Vol 3, No 2 [2016]  
  Vol 10, No 1 [2023] Vol 9, No 1 [2022]  Vol 8, No 1 [2021]Vol 7, No 1 [2020]Vol 6, No 1 [2019]Vol 5, No 1 [2018]Vol 4, No 1 [2017]Vol 3, No 1 [2016]   


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.