IDEAS home Printed from https://ideas.repec.org/a/aic/saebjn/v63y2017isip125-136n67.html
   My bibliography  Save this article

Trust - The Intangible Asset Of Policyholder Behavior On Insurance Market

Author

Listed:
  • Gabriela-Mihaela MUREÅžAN
  • Gabriel ARMEAN

Abstract

Our analysis aims to identify the typology of consumers’ behavior on insurance market. The initial sample consisted of 1579 individuals who were randomly selected by Metro Media Transilvania (MMT) with the Computer-Assisted Telephonic Interview (CATI) method. Using the Multiple Correspondence Analysis (MCA) and logistic regression, we are showing that higher levels of trust, pleasant experiences, income and education have a positive impact on insurance development. This theoretical approach is relatively new as there are no specialized studies to investigate the intangible asset in insurance companies in Romania’s case. This article should help the insurers to understand the role of trust and the importance of pleasant experiences in selling financial services such as life insurance and voluntary private pension. JEL Codes - C25, G02, G22, J32

Suggested Citation

  • Gabriela-Mihaela MUREÅžAN & Gabriel ARMEAN, 2017. "Trust - The Intangible Asset Of Policyholder Behavior On Insurance Market," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 63(si), pages 125-136, January.
    • Handle: RePEc:aic:saebjn:v:63:y:2017:i:si:p:125-136:n:67
    DOI: 10.1515/saeb-2016-0139
    as

    Download full text from publisher

    File URL: http://saeb.feaa.uaic.ro/index.php/saeb/article/view/1032
    Download Restriction: no
    File URL: https://libkey.io/10.1515/saeb-2016-0139?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    behavior; life insurance; logit; pension; trust;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Retirement Plans; Private Pensions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aic:saebjn:v:63:y:2017:i:si:p:125-136:n:67. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sireteanu Napoleon-Alexandru (email available below). General contact details of provider: https://edirc.repec.org/data/feaicro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.