Nimesh P. Bhojak, Mohammadali Momin and Brijeshkumar H. Joshi
This research aims to enhance the model of student learning behavior by expanding the traditional theory of reasoned action (TRA) to incorporate variables such as student mental…
Abstract
Purpose
This research aims to enhance the model of student learning behavior by expanding the traditional theory of reasoned action (TRA) to incorporate variables such as student mental well-being (SMW), attitude, subjective norms (SNB), perceived behavioral control (PBC) and climate change concerns. The study examines students’ intentions as a mediator variable and student area as a moderator variable in student learning behaviors.
Design/methodology/approach
A structured questionnaire was administered to 610 higher education students in Gujarat, exploring variables related to student characteristics, mental well-being, attitudes, SNB, PBC, Climate change concerns (CML), change concerns and intentions to study. Data analysis involved descriptive statistics, exploratory factor analysis and structural equation modeling with mediation and moderation analyses using SPSS 22 and AMOS 26.
Findings
The empirical findings support the hypothesized relationships within the expanded model, indicating significant contributions of SMW, attitude, SNB, PBC and CML to forming solid intentions to pursue education. Additionally, the study reveals a positive association between intention and subsequent learning behavior moderated by the student residence area.
Research limitations/implications
The study confirms the proposed relationships within the expanded model, with SMW significantly influencing students’ academic intentions. Factors like attitude, SNB and climate change are crucial in shaping educational pursuits. The research enriches educational psychology by detailing the complex influences on student learning behavior, offering insights for enhancing educational strategies and outcomes as the academic environment evolves.
Originality/value
This research offers an innovative approach by expanding the traditional TRA to explore the influences on student learning behavior in education comprehensively. Integrating variables such as SMW, attitude and CML provides a nuanced understanding, contributing to theoretical development and practical educational implications.
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Keywords
Nimesh P. Bhojak, Mohammadali Momin, Dhimen Jani and Ashish Mathur
This research paper investigates the utilization of artificial intelligence (AI) among teachers in higher education (universities and colleges) in India and its impact on teaching…
Abstract
Purpose
This research paper investigates the utilization of artificial intelligence (AI) among teachers in higher education (universities and colleges) in India and its impact on teaching activities. The study explores teachers’ perceptions, attitudes and the factors influencing the integration of AI in their teaching practices.
Design/methodology/approach
A questionnaire-based survey was conducted involving 500 teachers in higher education (university and college) in India. Data analysis included descriptive statistics, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structure equation modeling.
Findings
The study addresses teachers’ expectations and attitudes toward AI integration in teaching practices. Results suggest that AI can potentially enhance teaching practices among teachers in higher education in India. The findings contribute to understanding AI adoption in teaching, providing insights for educational institutions and policymakers. Further research is recommended to validate the results across different regions and academic settings, leading to the development of strategies and support systems for successful AI implementation in teaching practices.
Originality/value
The originality of this research lies in its investigation of the integration of AI in college teaching practices among teachers in India. It contributes to the existing literature by exploring teachers’ perceptions, attitudes and the factors influencing the adoption of AI, providing valuable insights for educational institutions and policymakers in the Indian context.
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Nimesh P. Bhojak, Ashwin Modi and Mohammadali Momin
This study aims to investigate the impact of service quality, as measured by the SERVQUAL model with extended variables of safety awareness and energy conservation, on consumer…
Abstract
Purpose
This study aims to investigate the impact of service quality, as measured by the SERVQUAL model with extended variables of safety awareness and energy conservation, on consumer satisfaction. It also explores the mediating effect of energy conservation and the moderating effect of consumer residence of electricity on this relationship.
Design/methodology/approach
The study uses a quantitative research approach, with data collected from 1,004 respondents through a questionnaire from the household consumers of UGVCL. The survey measures service quality using the SERVQUAL model with the additional variables of safety awareness and energy conservation. The data is analyzed using structural equation modeling, mediation and moderation to test the proposed hypotheses.
Findings
The results show that service quality, safety awareness and energy conservation all have a positive impact on consumer satisfaction expect responsiveness. Energy conservation also mediates the relationship between service quality and satisfaction, indicating that when consumers perceive higher service quality, they are more likely to conserve energy and thereby increase their satisfaction. Additionally, the moderating effect of consumer residence of electricity shows that the impact of service quality and safety awareness on satisfaction is stronger for consumers living in areas with higher electricity rates.
Originality/value
The paper lies in its investigation of the impact of service quality on consumer satisfaction using the SERVQUAL model, with the inclusion of two additional variables, safety awareness and energy conservation. Furthermore, this study examines the mediating effect of energy conservation and the moderating effect of consumer residence of electricity on the relationship between service quality and consumer satisfaction. To the best of our knowledge, this is the first study to incorporate these variables in examining the relationship between service quality and consumer satisfaction in the context of energy services. Therefore, this study offers a novel contribution to the existing literature on service quality and consumer satisfaction.
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Nimesh P. Bhojak, Suresh N. Patel and Mohammadali K. Momin
Digital healthcare once again emerges due to pandemic (Covid-19). Digital healthcare can be minimising the issue of accessibility, availability, accuracy and affordability of…
Abstract
Digital healthcare once again emerges due to pandemic (Covid-19). Digital healthcare can be minimising the issue of accessibility, availability, accuracy and affordability of healthcare service during a pandemic. Digital healthcare playsa significant role to provide healthcare equity during the pandemic. This article presents the current trends and scenario of digital healthcare with a focus on health equity. The main objective of this chapter is to review the four aces of health equity in the digital healthcare literature. The scope and challenges faced by the policymakers to implementation of digital healthcare to improve health equity. This chapter considers the hybrid literature review based on the bibliometric and the systematic literature based on the various theme, sub-theme, concept and context-related health equity through digital healthcare. This study provides the previous and current research trends and preposition for the future researcher, healthcare professional, policymakers and digital healthcare innovators to invent the tool which leads the health equity through the digital healthcare in the healthcare.