School of Management Studies (SMS)

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Digital Pedagogy in Indian Higher Education: Faculty Perspectives
(Electronic Journal of e-Learning, 2026) Kaur, Divneet; Rana, Shikha; Chaturvedi, Nishant et al.
The rapid digitalization of higher education has significantly reshaped teaching and learning practices worldwide; however, the adoption of digital pedagogy among university teachers remains uneven, particularly in developing contexts such as India. This study examines the lived experiences of Indian university teachers in adopting digital pedagogy and explores the factors influencing this process within higher education institutions. Using a qualitative research design, the study employs Interpretative Phenomenological Analysis to develop an in depth understanding of how teachers perceive, experience, and make sense of digitally mediated teaching practices. Data were collected through semi structured interviews with university teachers representing diverse disciplinary backgrounds and institutional settings. The analysis followed a systematic and iterative IPA approach to identify emergent themes grounded in participants’ narratives. The findings indicate that digital pedagogy adoption is shaped by a dynamic interplay of institutional, technological, and personal factors. Institutional support structures, availability of digital infrastructure, access to professional development opportunities, and collaborative peer environments emerged as key enablers of adoption. In contrast, challenges such as inadequate training, inconsistent technical support, increased workload, infrastructural disparities between institutions, and varying levels of digital confidence among teachers were identified as persistent barriers. The study further highlights the central role of teachers’ beliefs, attitudes, and perceived pedagogical value of digital tools in determining the depth and sustainability of digital pedagogy integration. By foregrounding faculty perspectives, this research contributes to the limited qualitative literature on digital pedagogy adoption in Indian higher education and extends existing scholarship beyond technology acceptance oriented explanations. The study supports e learning practice by offering context specific recommendations related to faculty training, institutional policy, and digital readiness. By emphasizing teachers’ lived experiences, the findings advance understanding of digital pedagogy as a socially situated and contextually embedded practice, providing a foundation for inclusive and sustainable digital transformation in higher education. The insights generated offer important implications for higher education leaders and policymakers seeking to strengthen digital capacity and enhance teaching quality in evolving educational environments.
Unveiling the transformative role of artificial intelligence in improving business process performance
(Emerald, 2026-06-30) Sharma, Priyanka; Dang, G.P.
Purpose The present study intends to examine the role of AI in enhancing the process performance of manufacturing entities in India. It aims to explore factors that measure the business process performance, which are influenced by the adoption of AI within various business processes. Design/methodology/approach The research conducted an empirical survey on Indian Manufacturing organizations using a questionnaire-based survey method on those businesses that have adopted AI within their business processes. For this, the study targeted C-level technology managers in the select manufacturing businesses in India. The structural equation modelling (SEM) technique was applied for data analysis. Findings The findings of the study indicate that the adoption of AI has a significant positive role in improving the business process performance of manufacturing firms. It can bring manifold advantages to business firms, including accuracy, speed, operational cost reduction, improved quality, enhanced productivity and efficiency. These benefits can help organizations in India to gain a competitive advantage in the changing business world. Originality/value The present article explores the transformative role of AI in the manufacturing sector of a rapidly developing economy like India. It provides empirical evidence on certain crucial benefits of AI, including quality enhancement, cost efficiency and productivity enhancement. This research offers valuable insights for both business leaders and policymakers on leveraging AI to drive industrial growth and competitiveness. It contributes to the limited literature on the practical implications of AI in emerging markets, particularly within the Indian context.
Utilizing Fractal Analysis and Machine Learning to Enhance Natural Disaster Prediction and Foster Resilient Smart City Development
(Bentham Science, 2026) Negi, Deepak; Sharma, Ravindra et al.
Disasters, which occur in periodic intervals, are natural phenomena such as floods, landslides, etc. Nowadays, they are more frequent due to the effects of global warming. These natural phenomena possess complex dynamics, making their precise prediction a difficult task. The intention of smart cities is to use the advanced technologies for flexible and sustainable solutions to such threats. In this paper, we present a new and efficient approach for extending natural thread prediction using mathematical fractal analysis to identify self-similar, multi-scale information that can be incorporated into machine learning prediction models for natural disasters. In addition, we used fractal generation techniques to create virtual replicas of the metropolitan infrastructure in order to model reactions to extreme event forecasts. Our multimodal method, at the nexus of urban modeling, machine learning, and fractal mathematics, offers a groundbreaking way to improve climate preparedness for smart cities. Adaptive resilience planning and early warning systems can benefit from the application of data-driven infrastructure response techniques and catastrophe prediction methodology.