Socio-Economic Dynamics and Pay-Tv Market Penetration: Examining the Influence of Household Economic Factors on Pay-TV Adoption in Machakos County, Kenya

This study investigates the influence of socio-economic dynamics on pay-TV market penetration within Machakos County, Kenya. Grounded in the Technology Acceptance Model (TAM) developed by Fred Davis (1989) and the Unified Theory of Acceptance and Use of Technology (UTAUT) by Venkatesh, Morris, Davis, and Davis (2003), the research explores how critical socio-economic indicators specifically household income, education level, and employment status shape the adoption and retention of subscription broadcasting services. These dynamics are essentially relevant in a decelerating Kenyan media market, where household financial agency and digital literacy determine the shift from traditional viewing to premium digital platforms. A descriptive survey research design was adopted, drawing a representative sample of 385 households across the Mavoko, Mwala, Yatta, and Machakos Town sub-counties. Data was collected using structured Likert-scale questionnaires to capture household perceptions of affordability, perceived utility, and service value. The collected data was analyzed using descriptive statistics and multiple regression analysis via SPSS software to establish the relationship between variables and examine the strength of socio-economic predictors. The findings indicated that socio-economic dynamics were a statistically significant determinant of pay-TV penetration (p < 0.05), with household income and employment stability emerging as dominant factors influencing subscription duration and Average Revenue per User (ARPU). The research concludes that economic constraints and educational alignment remain primary filters for market growth in peri-urban settings. The study recommends that pay-TV providers develop tiered, socio-economically segmented pricing models to translate household economic realities into sustainable market penetration.

Pay-TV penetration, Socio-economic dynamics, Technology Acceptance Model, Machakos County, Kenya.

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