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
- Y. Mohammed Iqbal, M. Mohamed Surputheen, S. Peerbasha, Swarm intelligence-driven HC2NN model for optimized COVID-19 detection using lung imaging , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Mohit Kalra, Arpan Nautiyal, Krishnapal Singh, Health Assessment of Buksa Tribe: Exploring CSR Models for Indigenous Community Empowerment in Ramnagar Block, Nainital District , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Deepesh Bhardwaj, Niyati Chaudhary, Green Premium: Assessing the Influence of Sustainability Features on Real Estate Market Value in Delhi NCR , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Rupesh Mandal, Bobby Sharma, Dibyajyoti Chutia , Smart flood monitoring in Guwahati city: A LoRa-based AIoT and edge computing sensor framework , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Santima Uchukanokkul, Bijal Zaveri, Impact of emerging global educational trends on overseas education programs for aspiring students in South East Asia and South Asia: A decadal analysis , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- P. Hepsibah Kenneth, E. George Dharma Prakash Raj, Priority based parallel processing multi user multi task scheduling algorithm , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Bhaskarjyoti Talukdar, Bandana Sharma, Prognostic Factors and Survival Outcomes in Esophageal Cancer Patients from North-East India: A Hospital-Based Cohort Study Using Log-Rank Test and Binary Logistic Regression Analysis , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Santosh Kumar Sahu, B. R. Senthil kumar, Y. Aboobucker parvez, Ashish Verma, Assessment of noise levels by using noise prediction modeling , The Scientific Temper: Vol. 14 No. 03 (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
- Saumya Trivedi, Amit Sinha, Satyendra P. Singh, Ramya Singh, A study on factors influencing lending decisions for MSMEs by scheduled commercial banks in the CGTSME scheme , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
<< < 17 18 19 20 21 22 23 24 25 26 > >>
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

