Employees’ Assessment of Impact of Information Systems on Operational Efficiency of Insurance Companies

Authors

  • Uduakobong Inyang Department of Insurance and Risk Management, Faculty of Management Sciences, University of Uyo, Akwa Ibom State
  • Samuel G. Etuk Department of Marketing, University of Uyo, Akwa Ibom State, Nigeria
  • Michael Effiom Department of Business Management University of Uyo, Akwa Ibom State, Nigeria.

Keywords:

Information systems, transaction processing system, decision support system, office automation systems, Decision making, operational efficiency, t-test

Abstract

This study investigated employees’ assessment of impact of information systems on operational efficiency of insurance companies. Specifically, the study drew cross-sectional data from insurance companies in Akwa Ibom state to examine the impact of transaction processing system, decision support system and office automation systems on operational efficiency of insurance companies. A total of 100 employees of insurance companies in Akwa Ibom state were sampled and used in the study and simple random sampling technique was used in selecting the participants who completed the self-structured questionnaire used in data collection for the study. One sample t-test was used in data analysis in the study. Findings indicated that the use of transaction processing system, decision support system and office automation system had significant impact on operational efficiency of insurance companies.  It was concluded that information systems influenced operational efficiency of insurance companies and investment in training skilled workforce in information systems was the major recommendation.

References

Abualoush, S. H., Obeidat, A. M., Tarhini, A., & Al-Badi, A. (2018). The role of employees’ empowerment as an intermediary variable between knowledge management and information systems on employees’ performance. VINE Journal of Information and Knowledge Management Systems48(2), 217-237.

Akhmedov, R., & Uzhegova, O. (2023). Does the new management information system improve operational efficiency in the banking industry of Kazakhstan? Journal of Economic Research & Business Administration145(3), 33-44.

Alawamleh, H. A., ALShibly, M. H. A. A., Tommalieh, A. F. A., Al-Qaryouti, M. Q. H., & Ali, B. J. (2021). The challenges, barriers and advantages of management information system development: Comprehensive review. Academy of Strategic Management Journal20(5), 1-8.

Asemi, A., Safari, A., & Zavareh, A. A. (2011). The role of management information system (MIS) and Decision support system (DSS) for manager’s decision-making process. International Journal of Business and Management6(7), 164-173.

Asif, M., & Sandhu, M. S. (2023). Social Media Marketing Revolution in Pakistan: A Study of its Adoption and Impact on Business Performance. Journal of Business Insight and Innovation2(2), 67-77.

Asif, M., & Shaheen, A. (2022). Creating a High-Performance Workplace by the determination of Importance of Job Satisfaction, Employee Engagement, and Leadership. Journal of Business Insight and Innovation1(2), 9-15.

Bandpey, S., & Niknaghsh, E. (2022). Investigating the role of office automation in improving employee performance. Journal of Industrial Strategic Management7(1), 12-21.

Bokadarov, S. A., Kravchenko, A. S., Peregudov, A. N., Kulakova, N. G., & Kalach, A. V. (2020, April). Disaster insurance decision support system. In IOP Conference Series: Earth and Environmental Science (Vol. 459, No. 5, p. 052060). IOP Publishing.

Dey, P. K. (2001). Decision support system for risk management: a case study. Management Decision39(8), 634-649.

Gorla, N., Somers, T. M., & Wong, B. (2010). Organizational impact of system quality, information quality, and service quality. Journal of Strategic Information Systems, 19(3), 207–228. https://doi.org/10.1016/j.jsis.2010.05.001

Ingole, A. D., Gharde, S., Lad, S., & Lambade, S. (2019). Automated system for office using Arduino and Android. International Research Journal of Engineering and Technology6(4), 3460-3463.

Keke, M., Egerega, J., & Emeyazia, I. D. (2021). Design, development and performance evaluation of a smart office automation system. Applied Journal of Physical Science3(2), 81-85.

Ladan Shagari, S., Abdullah, A., & Mat Saat, R. (2017). Accounting Information Systems Effectiveness: Evidence from the Nigerian Banking Sector. Interdisciplinary Journal of Information, Knowledge, and Management, 12, 309–335. https://doi.org/10.28945/3891

Lee, Y. S., Seo, Y. W., & Siemsen, E. (2018). Running behavioral operations experiments using Amazon's Mechanical Turk. Production and Operations Management27(5), 973-989.

Massaro, A. (2021). Implementation of a decision support system and business Intelligence algorithms for the automated management of insurance agents’ activities. International Journal of Artificial Intelligence and Applications (IJAIA)12(3).

McDonald, J.H., and K.W. Dunn. (2013). Statistical tests for measures of colocalization in biological microscopy. Journal of Microscopy, (252), pp. 295-302.

Mithas, S., Ramasubbu, N., & Sambamurthy, V. (2011). How Information Management Capability Influences Firm Performance. MIS Quarterly: Management Information Systems, 35(1), 237–256. doi.org/10.2307/23043496

Nan, T. (2021, March). Design and Implementation of office automation network security system. In Journal of Physics: Conference Series (Vol. 1802, No. 3, p. 032108). IOP Publishing.

Olulekan, Y. and Akinlo, T. (2013) ‘Insurance development and economic growth in Nigeria, 1986-2010’, Journal of Economics and International Finance, 5(5), 218-224

Pearlson, K. E., Saunders, C. S., & Galletta, D. F. (2024). Managing and using information systems: A strategic approach. John Wiley & Sons.

Petter, S., DeLone, W., & McLean, E. R. (2013). Information systems success: The quest for the independent variables. Journal of Management Information Systems, 29(4), 7–62. doi:10.2753/MIS0742-1222290401

Rawat, S., Rawat, A., Kumar, D., & Sabitha, A. S. (2021). Application of machine learning and data visualization techniques for decision support in the insurance sector. International Journal of Information Management Data Insights1(2), 100012.

Setyowati, W., Widayanti, R., & Supriyanti, D. (2021). Implementation of e-business information system in indonesia: Prospects and challenges. International Journal of Cyber and IT Service Management1(2), 180-188.

Stair, R. M., & Reynolds, G. W. (2018). Fundamentals of information systems. Cengage Learning.

Sun, Z., & Kong, X. (2023, September 30). Multi-attribute fuzzy pattern decision making based on information systems. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-43753-z

Verma, J. (2022). Application of Machine Learning for Fraud Detection–A Decision Support System in the Insurance Sector. In Big Data Analytics in the Insurance Market (pp. 251-262). Emerald Publishing Limited.

Wang, Y., & Kogan, A. (2018). Designing confidentiality-preserving Blockchain-based transaction processing systems. International Journal of Accounting Information Systems30, 1-18.

Yaghoubi, N. M., & Sargazi, A. A. (2014). Investigating the effect of office automation on organizational excellence. International journal of Academic research in Business and Social Sciences4(8), 367-375.

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Published

30-08-2024

How to Cite

Inyang, U., G. Etuk, S., & Effiom, M. (2024). Employees’ Assessment of Impact of Information Systems on Operational Efficiency of Insurance Companies. Inverge Journal of Social Sciences, 3(3), 1–12. Retrieved from https://invergejournals.com/index.php/ijss/article/view/86

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