The Impact of Insurance Information Systems on Achieving Strategic Renewal

An Applied Study

Abstract

The research aims to measure and analyze the correlation and impact relationship between the independent variable—insurance information systems—through its dimensions (physical resources, human resources, databases, and software), and the dependent variable—strategic renewal—through its dimensions (context, content, and process). The study was applied to the Iraqi General Insurance Company and the National Insurance Company. It also seeks to determine the priority ranking of these dimensions and variables.

Based on a preliminary exploratory study and personal interviews with officials from both companies, the research problem was defined as a lack of awareness among managers and employees of the benefits derived from the dimensions of information systems.

A hypothetical research framework was designed, and both main and sub-hypotheses were formulated. The study adopted the descriptive-analytical methodology. Accordingly, a questionnaire was developed as the primary tool for collecting data from a random sample of employees in the two companies, with a total sample size of 258 respondents. In addition, the study relied on financial statements, statistics, and annual reports of the companies (2018–2022) to analyze data and interpret the extracted results using financial performance evaluation indicators.

The statistical programs SPSS V.28, SmartPLS 4, and AMOS V.26 were used to calculate the weighted mean, standard deviation, coefficient of variation, Pearson correlation coefficient, and both simple and multiple linear regression. Furthermore, gap analysis techniques were employed, including Pareto charts and cause-and-effect diagrams.

The research arrived at several findings, most notably the existence of a significant correlation and impact of information systems on achieving strategic renewal in both companies. It also found statistically significant differences in the responses of the sample regarding the questionnaire variables between the two companies, while no significant differences were found in responses based on personal variables (gender, age, educational qualification, years of service, and job position).