Decision Maker Characteristics and Adoption of IoT within Insurance Firms in Kenya

Henry K Mwenemeru ^[2] | Lucy W Ngugi | John M Kandiri

Abstract: Despite the perceived advantages of Internet of Things, Insurance Firm in Kenya still have not widely adopted Internet of Things-enabled service or product delivery. The study sought to examine the effect of Decision maker characteristics on the adoption of Internet of Things by Insurance firms in Kenya. The anchoring theory adopted was TOE supported by DOI and TAM theories. The positivism research philosophy was utilised. The study used explanatory research design, and the 56 registered insurance Firms in Kenya was the target population. The sample consisted of 15 Chief executive officers and 270 sectional heads. Interview guide and semi structured questionnaire were used to collect primary data from Chief executive officers and sectional heads respectively. Descriptive statistics used included standard deviation, skewness and kurtosis. Logit regression was used for inferential analysis. Qualitative data on the other hand was presented on narrative form. This research established that Decision maker characteristics significantly influence internet of things adoption within insurance Firms in Kenya. The study recommends a deliberate development of a roadmap for adoption of internet of things by Insurance Firms.

Keywords: Internet of Things, Decision Maker characteristics, Internet of Things Adoption

Edition: Volume 12 Issue 4, April 2023,

Pages: 1683 - 1690