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FACTORS HINDERING ADOPTION OF INTEGRATED HUMAN RESOURCE MANAGEMENT INFORMATION SYSTEM FOR SERVICE DELIVERY IN THE CIVIL SERVICE IN KENYA: A CASE STUDY OF CIVIL SERVICE IN NAIROBI


Peterson Keta Midida

PhD in Human Resource Management Student, Jomo Kenyatta University of Agriculture and Technology, Kenya

Prof. Rose W. Gakure

Lecturer, Jomo Kenyatta University of Agriculture and Technology, Kenya

Dr. George O. Orwa

Lecturer, Jomo Kenyatta University of Agriculture and Technology, Kenya


ABSTRACT

The adoption of Integrated Human Resource Management Information System (IHRMIS) has become an increasingly important tool in helping modern organizations effectively manage their human resource and promoting a client-oriented civil service which is accountable in the service delivery. Yet, factors hindering adoption of integrated human resource management information system remain an under-researched phenomenon. The main objective of the study therefore was to establish how technology hinders adoption of integrated human resource management information system for service delivery in the civil service, a case study of civil service in Kenya. The specific objective of the study was to establish the extent to which technology hindered adoption of integrated human resource management information system for service delivery in the civil service in Kenya. The study targeted both top and middle level staff of the Ministries of State for Immigration and Registration of Persons, Medical Services and Information and Technology and the Department of e-Government working in Nairobi. There was review of relevant literature to inform the discussions, conclusion and recommendations for the study. The study adopted descriptive research and also used purposive sampling technique to identify three Government Ministries and one Department for the study. The researcher used questionnaires and interview schedules to collect both quantitative and qualitative data respectively. Stratified sampling was adopted to identify category of civil servants of each Ministry and Department for the study while random sampling technique was used to identify individual staff for interview. The collected data was analyzed by use of statistical tools for data analysis namely, MS-Excel and SPSS. Finally, the researcher compiled a report by drawing conclusions and suggesting major recommendations based on the study findings.


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