Adoptive bancassurance models transforming patronization among the insured
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.spl-2.09Keywords:
Adoptive model, Bancassurance, Patronization, Insurance services, Financial inclusion, DigitalizationDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Adoptive bancassurance model is an imperative and flexible developmental model focusing on the concept of a strategic approach that banks adopt in contradiction with other models where control remains rigid. The primary objective pertaining to the study is to determine all reliable characteristics that emerge from the adoption model, which modifies user patronization behaviours. A descriptive study design and a judgemental sampling method are utilized to study the respondents in the Metropolitan area of Chennai City. A Self-designed structured questionnaire was employed to collect data from a sample size of 343, carried out between March-July 2024. Using IBM SPSS and AMOS, the gathered data is analysed using frequency analysis, model fit index, and structural equation modelling. The study asserted that the six adopting bancassurance model indices of Credibility, Personalization, Financial inclusion, Digitalization, User Interface, and Consumer Literacy, had a beneficial impact on insureds' patronage. The adoptive model's user interface's unexplored sense of flexibility goes beyond its basic features. The effects of the insured perspective on customer satisfaction, financial inclusion, and market competitiveness guide the industry toward regulated insurance product simplification and guarantee penetration. Adoptive bancassurance models effectively improve client access to insurance and expedite service delivery while promoting consistency and new product development for client retention and growth. The flexibility of adoptive models provides access to insurance through banking channels, endorsing financial inclusion and literacy, and ensuring socioeconomic stability, especially for those living in underprivileged areas.Abstract
How to Cite
Downloads
Similar Articles
- Gourav Kalra, Arun Kumar Gupta, Multi-response Optimization of Machining Parameters in Inconel 718 End Milling Process Through RSM-MOGA , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- K. Akila, Location-specific trusted third-party authentication model for environment monitoring using internet of things and an enhancement of quality of service , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Jayalakshmi K., M. Prabakaran, Feature selection in HR analytics: A hybrid optimization approach with PSO and GSO , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Saarumathi R, Ritha W, Conglomerate Charge and Merchandise Swayed Inventory Model for Fragile Vendibles , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Archana Borde, Dattatraya Pandurang Rane, Pratap Vasantrao Pawar, Role of artificial intelligence in digital marketing in enhancing customer engagement , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Swetha Rajkumar, Subasree Palanisamy, Online detection and diagnosis of sensor faults for a non-linear system , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- S. Vnuchko, O. Batrymenko, О. Ткach, М. Karashchuk, M. Volkivskyi, Models of interaction between business and government in the conditions of the European integration course of Ukraine , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Hemamalini V., Victoria Priscilla C, Deep learning driven image steganalysis approach with the impact of dilation rate using DDS_SE-net on diverse datasets , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Namita R. Behera, A Study on credit facilities of micro, small, and medium enterprises at Syndicate Bank , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Rustam Gulomov, Khilolakhon Rakhimova, Avazbek Batoshov, Doniyor Komilov, Bioclimatic modeling of the species Phlomoides canescens (Lamiaceae) , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 27 28 29 30 31 32 33 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Anli Suresh, Sandhiya M., Investment model on the causation of inclining attributes towards bank investment options in the investor’s portfolio , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper

