Geofrey Kipngetich Kurgat, Dr. Jared Deya


Cooperative societies contribute in excess of 7% to the Gross Domestic Product of Kenya and provide employment opportunities to over 250,000 people around the country. However, corporate societies are experiencing growing competition, regulatory restrictions, and changing client expectations, all of which are driving the need to discover new methods to improve their competitive advantage. As such, SACCOs have adopted data forecasting strategies to facilitate the analysis, and presentation of business information to support decision-making and strategic planning. Nonetheless, despite the adoption of data forecasting strategies, the competitive advantage of SACCOs in Kenya has been declining. This study therefore sought to examine the influence of data forecasting strategies on competitive advantage of Savings and Credit Cooperative Societies in Kenya. The study adopted a descriptive research design. The target population was 215 heads of finance, human resource, ICT, operations and customer relations departments in 43 SACCOs in Nairobi City County. The study made use of stratified random sampling in the selection of 140 sample size from the target population. The study used primary as well as secondary data. Secondary data was derived from yearly reports of different SACCOs in Nairobi City County. Primary data was obtained using semi-structured questionnaires. The questionnaires generated qualitative and quantitative data. Thematic analysis was used to analyze qualitative data and the results were presented in a narrative form. Descriptive as well as inferential statistics were employed in analyzing quantitative data with the assistance of SPSS version 25 statistical software. Descriptive statistics comprised of frequency distribution, percentages, standard deviation and mean. Inferential data analysis was carried out using Pearson correlation coefficient and linear regression analysis. The study found that data forecasting strategies have a positive and significant effect on competitive advantage of Savings and Credit Cooperative Societies in Nairobi City County, Kenya. The study recommends that SACCOs should invest in advanced data forecasting tools and technologies that can provide accurate and reliable predictions.

Key Words: Data Forecasting Strategies, Competitive Advantage; Savings and Credit Cooperative Societies 

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