Factors affecting food and beverage processing firms in adoption of Internet of Things technology in Nairobi, Kenya
The study analyzed the factors affecting food and beverage processing firms in the adoption of internet of things technology in Nairobi, Kenya. The study was done efforts by KAM and the global advancement in technology had led to the call for adoption of Internet of Things (loT) however there has been a slow uptake. The study was guided by four specific objectives: to detern1ine the effect of security of generated data; to investigate the effect of management of loT devices; to establish the effect of business skills side in loT; and to determine the effect of technical perspective of loT devices on the adoption of loT technology in food and beverage processing firms in Kenya in Kenya. Sample size comprised of 69 firms with annual turnover of above 1 00 million Kenya shillings with CEOs/Operation managers as the participants. Data was analyzed through descriptive statistics and inferential statistics. The findings showed positive and significant relationship between influence of security of generated data, management of loT devices, business skills side in loT, technical perspective of loT to adoption of loT. The results further showed security of generated data were the most important in influencing adoption of loT technology. The interviews established that fear of losing jobs and redundancy of employees made management to lack enthusiasm for loT adoption. The study concluded that there exist significant effect of security of generated data as well as management of loT devices on the adoption of loT technology in food and beverage manufacturing firms in Kenya. The study recommends that managers of food and beverage manufacturing firms in Kenya should prioritize the security of the data and overall security of their organization in the process of adoption of loT applications in their firms. Further, the management of food and beverage manufacturing firms should possess requisite techniques to enable the employees to create networks for the deployment of loT applications automatically.