A Conceptual Model for of Brand Value Creation in Insurance Industry with Focus on Investment on Life Insurance.

Subject Areas : Journal of Investment Knowledge

mohamad rezaei ¹ ( PhD student, Department of Business Administration, I.A.U Branch, Islamic Azad University, Dubai, United Arab Emirates. )
Hamid Reza Saeednia ² ( Associate Professor, Department of Business Management, North Tehran Branch, Islamic Azad University, Tehran, Iran )
Zahra Alipour Darvish ³ ( Associate Professor. Department of Public Management, North Tehran Branch, Islamic Azad University Tehran, Iran. )

Received: 2021-05-18 Accepted : 2021-05-30 Published : 2024-06-21

Keywords: "Brand Value Creation, ", " Life Insurance", " Mix Method", "Insurance Industry", ,

Abstract :

Today, in the vast majority of leading and successful countries, one of the main pillars of maintaining material and intangible resources of governments, organizations, institutions, etc. is the insurance industry.Insurance companies try to provide people with the coverage they need, by insuring the risks that threaten their health and even their lives, to provide peace of mind to people.Among the various disciplines of insurance, life insurance is of particular importance due to its significant benefits. Life insurance plays an important role in the financial lives of individuals and families. Because this type of insurance is insurance against loss of income due to the death of the head of the familyThe present study aimed to identify the factors affecting the concept Brand Value Creation in Insurance Industry with Focus on Investment Life Insurance. This was a fundamental research trying to work out a conceptual model for the explanation of Brand Value Creation in Insurance Industry with Focus on Life Insurance. To this end, the author employed a mixed methodology. In the qualitative section, the Grounded Theory including open, axial, and selecting codings was used in order to develop the research model. In the quantitative section, a descriptive survey came to use and the model was tested via Amos software. Afterwards, the results were confirmed in a goodness-of-fit model, and presented in the form of 6 categories and 28 minor subcategories.

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