Integrating psychological predictors and relational moderators on loan repayment intentions in India's textile sector

The Indian banking industry is facing an increase in defaults on loan repayments by small and medium-sized enterprises (SMEs). This research investigates the impact of psychological factors, specifically integrity, financial self-efficacy, and materialism, on loan repayment intentions (LRI), with relationship length and proximity serving as moderating variables. This study contributes to the literature by highlighting the role of psychological factors in the financial behaviour model. It further extends the understanding of contextual issues influencing LRI, guided by the extended theory of planned behaviour. In this quantitative cross-sectional study, data were collected using a self-administered questionnaire from 392 SMEs across the textile industry in Tamil Nadu, India. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for data analysis. The results indicate that integrity has a strong positive correlation with LRI, whereas financial self-efficacy and materialism are not significant. The proximity to banks strengthens the link between integrity and LRI, whereas the relationship length moderates the psychological effects negatively. The findings offer important policy implications and can guide policymakers and financial institutions in developing strategies to strengthen repayment intentions. Given the growing concern over non-performing assets, these insights are timely and highly relevant for ensuring broader financial system stability.

Authors

Institutions

Publication Details

Journal
Acta Psychologica
Published
2025-11-01
DOI
https://doi.org/10.1016/j.actpsy.2025.105972
Primary Topic
Working Capital and Financial Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating psychological predictors and relational moderators on loan repayment intentions in India's textile sector

Savitha Basri, Priyanka Ravi
Acta Psychologica
Working Capital and Financial Performance
article

Integrating psychological predictors and relational moderators on loan repayment intentions in India's textile sector

Savitha Basri, Priyanka Ravi
article en

Abstract

The Indian banking industry is facing an increase in defaults on loan repayments by small and medium-sized enterprises (SMEs). This research investigates the impact of psychological factors, specifically integrity, financial self-efficacy, and materialism, on loan repayment intentions (LRI), with relationship length and proximity serving as moderating variables. This study contributes to the literature by highlighting the role of psychological factors in the financial behaviour model. It further extends the understanding of contextual issues influencing LRI, guided by the extended theory of planned behaviour. In this quantitative cross-sectional study, data were collected using a self-administered questionnaire from 392 SMEs across the textile industry in Tamil Nadu, India. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for data analysis. The results indicate that integrity has a strong positive correlation with LRI, whereas financial self-efficacy and materialism are not significant. The proximity to banks strengthens the link between integrity and LRI, whereas the relationship length moderates the psychological effects negatively. The findings offer important policy implications and can guide policymakers and financial institutions in developing strategies to strengthen repayment intentions. Given the growing concern over non-performing assets, these insights are timely and highly relevant for ensuring broader financial system stability.

Acta PsychologicaVol. 261
Manipal Academy of Higher Education (IN)
Openalex Percentile: Top 50%
Working Capital and Financial Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.