Dr. Abhijit Pandit had been awarded M.Sc., M.B.A.(Marketing), Ph.D. (Marketing), MIMA,
IIMCW. He has more than 20 years of full-time teaching experience along with 13 years of
post-PhD experience. He takes keen interest in philanthropic activities. He has actively
participated in more than 15 workshops/faculty development programs. He regularly presents
research papers in international and national conferences of repute. In six such conferences
and webinars he was invited to deliver keynote lectures. He has won best paper awards in 6
such conferences. He is an active life-time member of various professional organizations. He
has published several research papers in reputed journals consisting of 10 SCOPUS, 1 Web
of Science, 4 ABDC-A, 18 ABDC-B and 19 ABDC-C publications along with 14 Books, 16
Book Chapters and 8 Patents. He is guiding PhD Scholars and successfully supervised one PhD scholar
who has been awarded with PhD in Management.
EDUCATION
Ph.D. in Business Management (Marketing Specialization), M.B.A. (Marketing Specialization), M.Sc.
RESEARCH, TEACHING, or OTHER INTERESTS
Marketing, Strategy and Management, Tourism, Leisure and Hospitality Management, General Business, Management and Accounting
12
Scopus Publications
Scopus Publications
Integrating Circular Economy and Enterprise Risk Management for Diverse Industries: Lessons From a Pottery SME Baseline Souvik Banerjee, Abhijit Pandit, Nabyendu Roy, Merina Banerjee Prioritizing Environmental Sustainability in Local Industrial Systems, 2026 This paper formulates and substantiates a pragmatic integration of enterprise risk management and the circular economy (ERM–CE), facilitating resource-limited organisations in diminishing their environmental impact while enhancing operational and financial outcomes. The study uses a field-tested ERM–CE framework that was used in eleven small pottery businesses in West Bengal, India, as a starting point. It then adapts and translates the framework for use in other industries, such as textiles, food processing, electronics, and logistics. The baseline shows that aligning risk processes with life-cycle stages according to ISO 14040/14001 and using CE levers across procurement, production, distribution, consumption, and reverse logistics can lead to quantifiable improvements without needing more resources. In the pilot, 62–88 percent of pottery SMEs said their operations and finances got better at all stages of the business cycle, with an average improvement of 78 percent. Environmental sustainability got better for 61–100 percent of SMEs at all stages.
Agile Community Service and Socio- Emotional Growth: Critical Thinking in Transformative Assessment Souvik Banerjee, Abhijit Pandit, Shalini Aggarwal, Sumanta Dutta, Sohom Banerjee, Amarnath Mitra, Ravindra Nath Shukla, Mahendra Kumar Sahu Critical Thinking in Diagnosis and Therapy of Cognitive and Behavioral Disorders, 2025 The connection between education and the necessity for cultivating economically empowered pupils has been longstanding. Is the role of education confined to its economic feasibility? Can community service resonate to foster a more economically robust future for its students? This study included 280 students from grades 8 to 10, aged 14 to 16 years, engaged in community service within their schools. The research employs structural equation modelling to examine the aspects contributing to learning via community service. The study employs independent variables such as awareness, action, ability, and connection as determinants of students' task capability, personal relationships, and social relationships. The study emphasizes the essential non-cognitive traits that students must cultivate for personal and social advancement and for their future economic success.
Artificial intelligence and customer relationship management: Revolutionizing tourism Souvik Banerjee, Abhijit Pandit Demystifying Emotion AI Robotics AI and Sentiment Analysis in Customer Relationship Management, 2025 Religious tourism, an essential component of the global tourist sector, holds a significant role in India's socio-cultural and economic landscape. India, renowned for its unique spiritual legacy, is home to numerous pilgrimage sites that draw millions of domestic and foreign visitors each year. These locations, grounded in historic customs and religious importance, also produce considerable economic activity, enhancing local livelihoods and regional development. Notwithstanding its significant potential, religious tourism in India faces various problems. These encompass insufficient infrastructure, congestion, environmental deterioration, and a predominantly disorganised service sector. These challenges not only diminish the visitor experience but also jeopardise the sustainability of pilgrimage sites. The amalgamation of Artificial Intelligence (AI) with Customer Relationship Management (CRM) technologies offers a disruptive solution to these difficulties.
Sentiment analysis in customer relationship management Souvik Banerjee, Abhijit Pandit, Timilehin Olasoji Olubiyi, Raghavendra Prasanna Kumar Demystifying Emotion AI Robotics AI and Sentiment Analysis in Customer Relationship Management, 2025 Modern networking conversations generate annotated metadata, necessitating a method for synthesizing insights from statistics. Emotion detection is crucial for practical conversations, distinguishing joy, grief, and wrath. Corpora are becoming the standard for human-machine interaction, aiming to make interactions feel natural and real. A paradigm that identifies debates and customer views can provide a human touch to these interactions. Researchers developed a machine learning framework for assessing emotions in English phrases, utilizing LSTM (Long Short Term Memory) perspective and real-time emotion recognition in idiomatic speech. Emotion recognition rule (ERR) is created using ontologies like Word Net and Concept Net, Naive Bayes, and Random Forest. Real-time analysis of written words and facial expressions significantly outperforms current algorithms and commandment classifiers in identifying emotional states.
Artificial intelligence in retail: Transforming customer experience and business operations Souvik Banerjee, Abhijit Pandit Insights in Banking Analytics and Regulatory Compliance Using AI, 2025 Artificial Intelligence (AI) is revolutionizing the retail industry by enabling personalized customer experiences, optimizing operations, and enhancing customer service. This study investigates the impact of AI on retail operations through Structural Equation Modelling (SEM), focusing on five key variables: AI recommendation effectiveness, operational efficiency, customer service, consumer trust, and business performance. The research employs both quantitative and qualitative methods to provide insights into the benefits and challenges of AI in retail. The findings emphasize AI's dual role in driving business success and addressing ethical concerns, offering a balanced perspective for retailers and policymakers.
A structural equation modelling-based view of artificial intelligence: Business models and the future of employment from an Indian perspective Souvik Banerjee, Abhijit Pandit AI Driven Business Model Innovation, 2025 This study examines the transformative effects of artificial intelligence (AI) on business structures and employment in India. This study employs structural equation modelling (SEM) to evaluate the impact of AI on operational efficiency, company innovation, and employment dynamics. Research demonstrates that AI dramatically improves corporate efficiency and innovation but also requires staff reskilling. This research elucidates methods for Indian enterprises to adeptly incorporate AI to sustain a competitive advantage, while urging governments to facilitate AI-oriented workforce development. Future study should concentrate on the long-term employment implications of AI and investigate viable reskilling methodologies.
A Comprehensive Bibliometric Analysis of Soft Robotics Research: Trends, Impact, and Future Directions Souvik Banerjee, Jogen Sharma, Abhijit Pandit Green Software Engineering for Business Project Management, 2025 This report presents a comprehensive bibliometric analysis of the soft robotics research landscape, drawing upon a Scopus-derived dataset. The study meticulously examines publication trends, identifies influential documents, leading authors, prominent institutions, key publication outlets, and the global distribution of research efforts. Findings reveal a field characterised by exponential growth in scientific production, particularly since 2013, driven by advancements in materials science, novel fabrication techniques like 3D/4D printing, and bio-inspired design principles. The analysis highlights the significant contributions of pioneering researchers and institutions, predominantly from the USA, with a notable recent surge in output from Asian countries. While the field demonstrates a robust intellectual framework and diverse applications in human-robot interaction and biomedicine, challenges about long-term durability, standardised characterisation, energy autonomy, and complex control strategies persist.
Computational simulation techniques in inventory management Abhijit Pandit, Pulak Konar Mathematics in Computational Science and Engineering, 2022 In this paper we will see inventory systems and will learn to manage it with simulation technique. We will study simulation which is performed manually for better understanding of the topic. Then we will discuss some merits and demerits of it and study Monte Carlo simulation technique and how this method is used to solve a real life problem. We will use Excel software to generate random numbers and we will perform simulation in it. We will find the inventory sales for a confectionary bakery shop and will simulate and predict the sales for next few days. At the end we will compare and plot a graph so as to see and understand simulation better.
