An Assessment of the Impact of Innovation on Insurance Fraud Management in Zimbabwe | Abstract
International Journal of Accounting Research

International Journal of Accounting Research
Open Access

ISSN: 2472-114X



An Assessment of the Impact of Innovation on Insurance Fraud Management in Zimbabwe

Dr Fainos Chinjova, Madeline C. Mujakaji

This study sought to assess the impact of innovation on insurance fraud management in Zimbabwe. The study used a pragmatic philosophy in carrying out the study. This is because the explanatory variables chosen by the researcher are best explained using the strengths of both qualitative and quantitative approaches with the use of statistical inferences. The population of this study consisted of all the employees of insurance companies in Zimbabwe and the population size was estimated to be around 3000. The sampling method used in this study was purposive sampling since the researcher used subjective judgment drawn from practice to come up with a sample size of 180. The sample size was considered enough to make inferences about the population. The study found out that block chain creates interlinked and independent information, its information is true, it validates transactions and the information stored in it is irreversible. Moreover, it was found out that the adoption of artificial intelligence was going to be a critical move towards the reduction of the rate of over exaggerated claims. The study also found out that insurance companies’ mobile application would be highly effective because mobile technologies ensure that customers have factual and reliable information, they ensure an effective collection of customer data, they are helpful in educating customers about insurance fraud and they notify clients of their deadline. The study recommends that insurance companies take a leading role in educating its clients about insurance fraud and its implications. Moreover, insurance companies should train and develop their employees on fraud management and deploy a variety of technologies to reduce the incidence of fraud.

Published Date: 2021-04-22; Received Date: 2020-12-30