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
- Ayesha Shakith, L. Arockiam, Enhancing classification accuracy on code-mixed and imbalanced data using an adaptive deep autoencoder and XGBoost , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- V. Parimala, D. Ganeshkumar, Solar energy-driven water distillation with nanoparticle integration for enhanced efficiency, sustainability, and potable water production in arid regions , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Archana Verma, Application of metaverse technologies and artificial intelligence in smart cities , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Archana Verma, Role of artificial intelligence in evaluating autism spectrum disorder , The Scientific Temper: Vol. 15 No. 02 (2024): 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
- 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
- A. Anand, A. Nisha Jebaseeli, A comparative analysis of virtual machines and containers using queuing models , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Shaik Khaleel Ahamed, Neerav Nishant, Ayyakkannu Selvaraj, Nisarg Gandhewar, Srithar A, K.K.Baseer, Investigating privacy-preserving machine learning for healthcare data sharing through federated learning , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Anurag B. Gohain1, Devanand Mishra, Vithou U Mera, Content analysis of academic library website with special reference to the central universities in Northeast India , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Deneshkumar V, Jebitha R, Jithu G, Multistate modeling for estimating clinical outcomes of COVID-19 patients , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 21 22 23 24 25 26 27 28 29 30 > >>
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

