Presenting a Model for Business Intelligence: A Case Study on the Insurance Industry

Document Type : Case study

Authors

1 Associate Professor, Department of Business Management, Faculty of Social Sciences, Ardabil University, Ardabil, Iran

2 PhD Student in Marketing, Department of Business Management, Faculty of Social Sciences, Mohaghegh Ardabili University, Ardabil, Iran

Abstract

In recent years, the growth and expansion of data production in various fields, while creating challenges regarding their management, provide opportunities for companies to achieve more accurate predictions about changes. has provided an environment. Therefore, there is a need for an expert diagnostic tool to position the competencies of knowledge management and business intelligence for comprehensive optimization of strategic analysis and intelligent decision support of strategic organizational performance management. In fact, tools such as business intelligence, by identifying environmental trends, provide the basis for timely decision-making and action for the organization. On the other hand, one of the indicators of the economic development of countries is the level of development of the insurance industry in those countries. The use of technology in the insurance industry in order to give more people access to financial services has received more attention than before, so that new insurance businesses have entered the field of competition with traditional insurance companies by creating a unique value proposition and improving the business model. In this research, a model was designed for smart business in the insurance industry. In this research, data base theory and qualitative findings were analyzed with MAXQDA software and finally, Strauss and Corbin data base theory paradigm model framework was used to design the model. The participants in this research are experts and managers of the insurance industry, whose number is 16 and they were selected based on a purposeful judgment. By analyzing the data, five categories were extracted, and finally by determining the causal conditions (accessibility quality, electronic acceptance and perceived risk), background conditions (internet limitations, ICT infrastructure and insurance policies) , intervening conditions (users' knowledge level, managers' attitude and perceived security "confidentiality"), central category (smartening the insurance industry), strategies (strengthening the culture of using the Internet, developing digital security and developing the level of knowledge) and consequences (achieving opportunities growth, competitive advantage and profitability) business intelligence model of the insurance industry was presented.

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Main Subjects

References

 
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History

  • Receive Date: 04 July 2022
  • Revise Date: 21 July 2022
  • Accept Date: 06 September 2022

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