The Connection between Manpower Development, Business Process Performance and Business Intelligence Maturity in Nigeria
1Yetunde S. Sadiq-Bamgbopa, 2Abosede Hinmikaiye, 3Bisola Aladenika, 4Adesola Adewale, 5Olayiwola Olaitan K.
1,2,3,4Westcliff University
5Department of Economics University of Ibadan
https://doi.org/10.47191/jefms/v5-i9-25ABSTRACT:
This study examines the connection between manpower development, business process performance and business intelligence maturity in Nigeria. A large-scale survey was used to gather data on the progressive decline in the ability of manpower to cope with the challenges that accompany the unfolding new dispensation in the industry. A random sampling technique was employed in selecting a total of 900 respondents from the Nigerian population. 150 senior managers each were selected from Lagos State, Oyo State, Osun State, Ogun State, Ondo State and Ekiti State. The statistical methods of frequency counts, pie charts, bar charts, and simple percentages were used to analyze the demographic characteristics of the respondents, while linear regression analysis was used to determine the impact of manpower development on business performance. Overall, the study findings indicate that manpower development plays a significant role in business performance in Nigeria. Based on the findings, it is recommended that firms should provide their employees with new training manuals containing detailed information about the requirements of the program and objectives expected upon completion of the program. Every initiative of a manpower development program must be evaluated, and the company should enhance the selection criterion.
KEYWORDS:
Manpower, Development, Business Performance, Business Intelligence.
REFERENCES:
1) Bach, M. P., Stemberger, M. I., & Vugec, D. S. (2017, January). The impact of business intelligence maturity and organizational culture on organizational performance: preliminary research. In CENTERIS 2017-Conference on Enterprise Information Systems.
2) Birasnav, M. (2014). Knowledge management and organizational performance in the service industry: The role of transformational leadership beyond the effects of transactional leadership. Journal of Business Research, 67(8), 1622-1629.
3) Fawcett, L. (2016). International relations of the Middle East. Oxford University Press.
4) Ghaida, G. (2018). The impact of business process orientation on financial and non‐financial performance. Business Process Management Journal, 14(5), 738-754.
5) Jakli, J., Popovič, A., Hackney, R., Coelho, P. S. Raber, D., Wortmann, F., & Jaklič, J. (2018). Towards business intelligence systems success: effects of maturity and culture on analytical decision making. Decision Support Systems, 54(1), 729-739.
6) Kasemsap, K. (2015). The role of data mining for business intelligence in knowledge management. Integration of Data Mining in Business Intelligence Systems, 12-33.
7) Larson, D., & Chang, V. (2016). A review and future direction of agile, business intelligence, analytics and data science. International Journal of Information Management, 36(5), 700-710.
8) Lin, (2017). “Towards The Measurement Of Business Intelligence Maturity”, in Proceedings of ECIS 2013, Paper 95, available at: http://aisel.aisnet.org/ecis2013_cr/95
9) Malinova, M., & Mendling, J. (2018). Identifying dos and don’ts using the integrated business process management framework. Business Process Management Journal, 24(4), 882-899. https://doi.org/10.1108/bpmj10-2016-0214.
10) Moscoso-Zea, O., Luján-Mora, S., Cáceres, C. E., & Schweimanns, N. (2016). Knowledge management framework using enterprise architecture and business intelligence. In ICEIS (1) (pp. 244-249).
11) Olszak, M. (2016). Understanding impact of business intelligence to organizational performance using cluster analysis: does culture matter? International Journal of Information Systems and Project Management, 6(3), 63-86.
12) Tan, Z. S., Damron‐Rodriguez, J., Cadogan, M., Gans, D., Price, R. M., Merkin, S. S., & Chodosh, J. (2017). Team‐based interprofessional competency training for dementia screening and management. Journal of the American Geriatrics Society, 65(1), 207-211.
13) Vidal-Salazar, T., Hurtado-Torres, H., & Matas-Reche, R. (2017). Maturity models in business process management. Business Process Management, 18(2), 328-346.
14) Zaby, C. & Wilde, K. D. (2018). Intelligent business processes in CRM: exemplified by complaint management. Business and Information Systems Engineering, 60(4), 289-304.