Ancient Tamil Trade Ethics and Modern Digital Decision-Making: A Pattinappalai-Based Model of Emotional Intelligence, Compensation Fairness and Rumination
DOI:
https://doi.org/10.54536/ajlp.v1i1.6802Keywords:
Business Psychology, Emotional Intelligence, Intelligent Information Networks, Pattinappalai, Rumination, Sustainable CompensationAbstract
This study aims to develop and empirically validate a Pattinappalai-based business psychology model that integrates Emotional Intelligence, Sustainable Compensation and Rumination to explain Intelligent Information Network (IIN) adoption among modern traders. It addresses the gap in existing research where emotional, ethical and cognitive factors have been examined separately without acknowledging their combined influence on digital decision-making. A quantitative research design was employed using a structured questionnaire administered to 350 respondents across multiple trading sectors. The model was tested through reliability analysis, validity assessment and hypothesis testing using structural equation modeling to examine the direct effects of Emotional Intelligence and Sustainable Compensation on IIN adoption and the moderating influence of Rumination. The results show that both Emotional Intelligence and Sustainable Compensation significantly enhance IIN adoption, while Rumination negatively moderates these relationships by weakening the influence of emotional and fairness-based drivers on technology engagement. The findings demonstrate that digital adoption in trading settings is shaped not only by system usability but also by psychological and ethical factors. The study is limited to trading-related professions and uses cross-sectional data, which restricts causal inference. Future research could expand the model to additional industries, cultural contexts and longitudinal datasets to examine behavioural changes over time. This research is the first to empirically fuse Sangam literature specifically Pattinappalai with contemporary organisational psychology and technology adoption. It offers a culturally grounded framework demonstrating that emotional maturity, fairness in compensation and cognitive clarity strongly influence digital trading behaviour, providing both academic value and managerial relevance.
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Copyright (c) 2026 Aishwarya Anandavalli MN, S. Antony Raj (Author)
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