MODERATING EFFECT OF REGULATION ON RELATIONSHIP BETWEEN INFORMATION TECHNOLOGY ON PERFORMANCE OF PENSION SCHEMES IN KENYA
Wellington Kihato Kihunyuro Wamburu,
Ph.D Student Kenyatta University,
Lecturer, Dedan Kimathi University of Technology, Nyeri
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Dr. James Kahiri
Kenyatta University
Dr. Karanja Ngugi
Jomo Kenyatta University
CITATION: Wamburu, W., K., K., Kahiri, J., Ngugi, K., (2019). Moderating Effect of Regulation On Relationship Between Information Technology On Performance Of Pension Schemes In Kenya. International Journal of Arts and Entrepreneurship. Vol. 8 (11) pp 1 – 11.
ABSTRACT
Funded pension systems have in the recent past gained popularity since they contribute to the economic growth of countries worldwide through direct contribution to the GDP. In Kenya, the pension system contributes to an estimated 68% of the total income of retirees and controls wealth estimated at Ksh. 397 billion, the equivalent of 30% of the country’s GDP. Pension schemes in Kenya are associated with loss of billions on money every year and results to low economic development of the Kenyan economy hindering realization of achievement of Vision 2030. This study seeks to analyze the influence of information technology on performance of pension schemes in Kenya. The study will be guided by four independent variables that is, employee IT skills, IT policy, top management support and organization resources, regulation as a moderating variable and performance of pension schemes as the dependent variable. The research will use descriptive research design and the target population will constitute 680 staff from all the registered pension schemes in Kenya. A stratified sampling technique will be employed to divide the population into different strata i.e. top management, middle level management and low level management. The study will select a sample of 135 staff members. The instrument of data collection will be a questionnaire which will be self-administered. A pilot study will be conducted to test validity and reliability of the questionnaire. Quantitative and qualitative techniques will be used to analyze data. The collected data will be processed using SPSS computer package, analyzed and presented using frequency tables, bar charts, and pie charts. The study will benefit several stake holders among them the government of Kenya (regulator), the pension schemes management in that they will get to know the influence of information technology on performance of pension schemes in Kenya.
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