AUTOMATED QUEUE MANAGEMENT SYSTEMS ON SERVICE DELIVERY IN PUBLIC HOSPITALS IN KENYA DURING THE COVID-19 ERA: A META-ANALYSIS

Authors: Dr. Kegoro O. Henry & Dr. Elias Njagi

ABSTRACT

Despite the vital role of the Automated Queue Management System (EQSM) on service delivery in both private and public organizations, little is understood on the impact of EQMS on service delivery in public hospitals and more specifically in Kenya. Conflicting findings have been revealed by previous researchers on the link between EQMS and service delivery in organizations thus the need for further studies to bridge the knowledge gaps. The main objective of this study was to examine the influence of automated queue management systems on service delivery in public hospitals in Kenya during the Covid-19 Era. This study was anchored on disruptive innovation theory. Comprehensive literature analysis and key informants were carried out to establish the influence of automated queue management systems and service delivery in public hospitals in Kenya during the Covid-19 Era. Published materials including peer-reviewed journals, conference papers, theses, reports, and sessional papers that contained relevant information concerning the topic of the current study were reviewed. The findings, conclusions, and recommendations of this study were derived from the findings of previous empirical studies. Recommendations were made following recommended protocols and guidelines of statistical literature. Based on the analysis of the findings of the quantitative studies, it was disclosed that EQMS had a significant influence on service delivery in public hospitals in Kenya during the Covid-19 era if effectively embraced. It was concluded that effectively managed EQMS can help public hospitals not only improve service efficiency and effectiveness but also improve employee performance. This study recommended that unless public hospitals in Kenya recognize the value of assistive technologies in service delivery such as EQMS, implementing public policy reforms in the healthcare sector in Kenya will be an uphill task. Public hospitals in Kenya would only prevent the spread of Covid-19 disease if they embrace EQMS that discourage human contact as well as waiting time. Furthermore, effective management of EQMS would help doctors, nurses, and pharmacists in public hospitals minimize physical contact with patients thus preventing of the Covid-19 disease in Kenya.

Keywords:     Automated Queue Management System, Service Delivery, Public Hospitals, Covid-19-Era

REFERENCES

  • Abass, A. M. (2016). Automated Queuing and the Experience of Kenya Commercial Bank Retail Customers in Nairobi Kenya Abass Abdi Mohamud a Research Project Submitted in Fulfillment of As Part of the Requirements for the Award of Master of Business Administration Degree, School. November.
  • AL-Jumaily, A.S.A. and AL-Jobori, H.K.T. (2011). Automatic Queuing Model for Banking Applications.  (IJACSA). International Journal of Advanced Computer Science and Applications, Vol. 2, No. 7, 2011
  • Branch, M., Agyei, W., Asare-darko, C., & Odilon, F. (2015). Modeling and Analysis of Queuing Systems in Banks A case study of Ghana Commercial Bank Ltd. Kumasi Main Branch. International Journal of Scientific & Technology Research, 4(7), 160–163.
  • Farayibi, A.O. (2016). Investigating the Application of Queue Theory in the Nigerian Banking System. https://econpapers.repec.org/paper/pramprapa/73614.htm
  • Genga, K. O. (2018). Electronic Queuing Management System and Customer Service in Commercial Banks in Kenya: a Case Study of Kenya Commercial Bank Genga Kevin Omondi a Research Project Report Submitted in Partial Fulfillment of the Requirements for Master of Business. November.
  • Gumus, S., Bubou, G. M., & Oladeinde, M. H. (2017). Application of queuing theory to a fast food outfit: a study of blue meadows restaurant. Independent Journal of Management & Production, 8(2), 441. https://doi.org/10.14807/ijmp.v8i2.576
  • Jhala, N. & Bhathawala, P. (2016). Application of Queuing Theory in Banking Sector. IOSR Journal of Mathematics (IOSR-JM) e-ISSN: 2278-5728, p-ISSN: 2319-765X. Volume 12, Issue 2 Ver. II (Mar. – Apr. 2016), PP 73-75 www.iosrjournals.org
  • Kamau, G.W. (2012). Waiting lines management and customer satisfaction in Commercial banks in Kenya. Retrieved from http://erepository.uonbi.ac.ke/handle/11295/95629
  • Kithaka, S. G. (2012). An evaluation of queue management in financial institutions operating in Kenya. Retrieved from http://ir-library.ku.ac.ke/handle/123456789/2574
  • Kiruthu, L. (2012, November 5). Customer service in banking sector. The Daily Nation. Retrieved from http://www.nation.co.ke/lifestyle/smartcompany/
  • Kenya Institute of Public Policy and Research (KIPPRA) (2019). HealthCare Reforms in Kenya. Session Paper.
  • Kraja, Y.B & Osmani, E. (2015). Importance of external and internal environment in creation of competitive advantage to SMES. (Case of SMES, in the Northern region of Albania), European Scientific Journal, Vol. 11, No 13
  • Kuklin, P. (2013). How Technology Can Transform Queue Management. http://www.business2community.com/customer-experience/technology-can-transform-queue- management-0650188#LLqfhMjdJcvHlR6d.97
  • Langat, A. (2014, April 29). KCB introduces system to beat queues.
  • Letsididi, B. (2010). Barclays Introduces Electronic Queue Management System. The Sunday Standard. Retrieved from http://www.sundaystandard.info/barclays-introduces-electronic- queue-management-system
  • Liang, C.C. (2016), Queuing management and improving customer experience: empirical evidence regarding enjoyable queues, Journal of Consumer Marketing, 33(4): 257-268
  • Mohamud, A. A. (2016). Automated Queuing and the Experience of Kenya Commercial Bank Retail Customers in Nairobi Kenya. MBA Project. UoN
  • Mbuvi, D. (2013, June 23). Why Kenyan banks have long queues http://cio.co.ke/news/main-stories/why-kenyan-banks-have-long-queues
  • Ministry of Public Health and Sanitation (2020) Report. Multi-Sectoral Cholera Prevention and Control Plan
  • Mwangi, S. K., & Ombuni, T. M. (2015). An empirical analysis of queuing model and queuing behaviour in relation to customer satisfaction at Jkuat students finance office. American Journal of Theoretical and Applied Statistics, 4(4), 233–246.
  • Nathalie, T.M. & Dmoulin, S.D. (2013), Customer response to waits for online banking service delivery, International Journal of Retail & Distribution Management, 41(6): 442-460
  • Nzomoi Mulwa, M., & Muthoni Weru, J. (2017). The influence of performance management system on employee performance in commercial Banks in Kitui Town, Kitui County, Kenya. International Journal of Humanities and Social Science, 7(6), 44–55. www.ijhssnet.com
  • Peter, P. O., & Sivasamy, R. (2019). Queueing theory techniques and its real applications to health care systems–Outpatient visits. International Journal of Healthcare Management.
  • Ravi Chandra, G., & Saraswathi, A. B. (2018). A study on the concept of performance management system in it industry – Literature review. International Journal of Mechanical Engineering and Technology, 9(1), 511–520.
  • Sheikh, T.; Singh, S.K and Kashyap, A.K. (2013). Application of Queuing Theory for the Improvement of Bank Service.  International Journal of Advanced Computational Engineering and Networking, ISSN: 2320-2106 Volume- 1, Issue- 4, June-2013
  • Shyfur, M., Chowhury, R., Rahman, T. & Kabir, R.M. (2013), Solving of waiting lines models in the bank using queuing theory model the practice case: Islamic Bank Bangladesh Limited, Chawkbazar branch, Chottagong, IOSR Journal of Business and Management, 10(1): 22-29
  • Situma, E (2014). Why bank queues are now vanishing – Business Daily Thursday, June 12,2014http://www.businessdailyafrica.com/Why-bank-queues-are-now-vanishing/1248928-2346304-o9k47o/index.html
  • Sztrik, J. (2010). Queueing Theory and its Applications, a Personal View. 8th International Conference on Applied Informatics, ISBN 978-963-9894-72-3 Volume 1, January 2010.
  • Smith, J. M., & Kerbache, L. (2017). Topological network design of closed finite capacity supply chain networks. Journal of Manufacturing Systems, 45, 70–81.
  • Toshiba, S., Sanjay, K.S. & Anil, K.K. (2013), Applications of queuing theory for the improvement of bank service, International Journal of Advanced Computational Engineering and Networking, 1(4)
  • Titarmare, N., & Yerlekar, A. (2018a). A Survey on Patient Queue Management System. International Journal of Advanced Engineering, Management and Science, 4(4), 239985.
  • Uddin, M. N., Rashid, M., Mostafa, M., Salam, S., Nithe, N., & Ahmed, S. Z. (2016). Automated Queue Management System. Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc, 16. http://creativecommons.
  • World Health Organization (2020). Middle East respiratory syndrome coronavirus (MERS-CoV) maps and epicurves.  http://www.who.int/csr/disease/coronavirus_infections/maps-charts/en
  • Youssef Alotaibi, Fei Liu, (2013) “Average waiting time of customers in a new queue system with different classes”, Business Process Management Journal, Vol. 19 Issue: 1, pp.146-168, https://doi.org/10.1108/14637151311294903