http://repoi.jaipuria.ac.in:80/jspui/handle/123456789/1 2026-09-13T00:09:03Z http://repoi.jaipuria.ac.in:80/jspui/handle/123456789/1111 Title: EcoFlow choices: factors influencing sustainable menstrual hygiene product decisions Authors: Kapse, Manohar Abstract: This study examines how knowledge and emotional response (affect) influence consumer buying behaviour toward eco-friendly menstrual hygiene products, with a particular focus on the mediating role of affect. A cross-sectional design was employed, and data were collected via an online survey of 356 urban Indian women using purposive sampling. Data were analysed using Structural Equation Modelling (SEM) with SPSS (v25) and AMOS (v24). The results reveal that both knowledge and affect significantly shape purchasing decisions. However, affect exerts a stronger influence than knowledge alone. Importantly, affect also mediates the relationship between knowledge and buying behaviour, underscoring the critical role of emotional engagement in promoting sustainable consumer choices. These findings suggest that marketing strategies should not only aim to inform consumers but also foster positive emotional connections with eco-friendly products. The study offers meaningful contributions to the field of green consumer behaviour and carries important implications for sustainability-driven marketing practices. It supports the goals of the United Nations Sustainable Development Agenda, particularly SDG 3 (Good Health and Well-being) and SDG 12 (Responsible Consumption and Production), by highlighting how promoting eco-friendly menstrual hygiene products can reduce environmental impact and support women’s health. This research provides insightful implications for policymakers, marketers, and sustainability advocates to guide sustainable consumption behaviour among people. 2026-01-19T00:00:00Z http://repoi.jaipuria.ac.in:80/jspui/handle/123456789/1110 Title: Natural Resources Management for Achieving SDGs: Do Digital Governance Policies Mitigate the Resource Curse for Sustainable Business? Authors: Mohapatra, Amiya Kumar Abstract: The digital governance (DG) policies can help to mitigate the resource curse and promote sustainable growth of business by improving transparency, accountability for SDGs, and efficiency in natural resource management (NRM). However, in this regard the scholarly literature is lacking on how to mitigate the resource curse to support the NRM and environmentally sustainable business through DG policies. This study uses rigorous qualitative research to locate and sort through studies pertinent to ‘natural resources management’ and ‘environmentally sustainable business growth’ and then critically evaluate and combine the results into a unified claim. This study argues that similar to how evolution causes changes in societies and cultures, it introduces a four-stage ‘digital government evolution model’, which includes the stages of ‘digitization, transformation, engagement and contextualization’. The findings indicate that implementing mitigating DG policies substantially alleviates the deterioration linked with ‘resource curse’ by enhancing trade diversification and effective, environmentally sustainable economic growth. The outcomes offer theoretical support for the sustainable advancement of DG and the alleviation of the ‘resource curse’, while also establishing a practical foundation for enhancing the development of DG through recommended strategic mitigating policies for NRM for resource curse for sustainable business for achieving SDGs. 2026-03-01T00:00:00Z http://repoi.jaipuria.ac.in:80/jspui/handle/123456789/1109 Title: Effect of Behavioural Biases on Investment Decisions of Individual Investors: An Empirical Study Authors: Mohapatra, Amiya Kumar; Mohanty, Debasis Abstract: The study aims to explore the influence of behavioural biases on investors' investment decisions in Indian states like Chhattisgarh and Odisha. Structural Equation Modelling (SEM) is used as a tool in this study to evaluate the impact of various behavioural biases like'optimism','overconfidence','disposition','herding', and'anchoring'on the decisions of individual investors. Data of individual investors is obtained through a structured questionnaire based on survey-based research design. A total of 200 sample data is considered for the study after due scrutiny. The result revealed that optimism, herding, and anchoring biases positively influence investors' investment decisions, with beta values of 0.37, 0.05, and 0.73 respectively. However, it is found that'overconfidence'and'disposition'biases have negative effects on investors' investment decisions. The findings of this study will enable investors to make more rational and informed investment decisions by recognizing, anticipating, and mitigating the influence of behavioural biases and their consequential effects on investment outcomes. It will also be helpful to the policymakers to identify the anomalies in the financial market and will develop the appropriate strategies to overcome/eliminate their adverse effects. 2026-02-01T00:00:00Z http://repoi.jaipuria.ac.in:80/jspui/handle/123456789/1108 Title: Adoption of Explainable Artificial Intelligence in Retail Investors’ Decision-Making : Evidence from India Authors: Mohapatra, Amiya Kumar Abstract: This research examined the extent to which retail investors in India trusted and expressed confidence, as well as their intention to adopt an automated trading platform utilizing explainable artificial intelligence (XAI). 2026-01-01T00:00:00Z