Dr. Pawan Pant is working as an Associate Professor of Management at the University School of Business, Chandigarh University, Mohali, Punjab. He has published two research papers, one in a national and one in an international journal, and two Book Chapters in a Scopus-indexed journal. He has 10 years of teaching experience and worked as an Assistant Manager (Purchase) at Pacific Industries Ltd., Udaipur (Rajasthan) for one year. His area of specialisation is Management Economics. email: pawanpant04@.
EDUCATION
Ph D in Commerce
RESEARCH, TEACHING, or OTHER INTERESTS
Multidisciplinary, Economics, Econometrics and Finance, Business, Management and Accounting, Finance
26
Scopus Publications
Scopus Publications
Empowering Sustainability Through Digital Transformation Pawan Pant Multimedia and AI Applications for Sustainable Smart Mining and Energy, 2026 The global transition to sustainable practices requires a fundamental rethink of how societies, economies, and industries operate. Digital transformation with cutting-edge technology—namely, artificial intelligence (AI), the Internet of Things (IoT), blockchain, big data analytics, and cloud computing—herein termed 'digital tools'—is a powerful enabler of this transition. This chapter outlines the interdependence of digital transformation and sustainability, explaining how digital tools can support not only more efficient practices but also transformative shifts in thinking and behaviour across various sectors. Through conceptual analysis and examples from four sectors—energy, manufacturing, agriculture, and urbanisation- we delineate the myriad ways in which digital innovation is fostering a commitment to environmental stewardship, social equity, and continuity of economic activity.
AI-Driven Marketing: Redefining Customer Engagement in Entrepreneurial Ecosystems Kaushal Kishore Mishra, Pawan Pant, Azmee Zaheer Impact of AI on Entrepreneurial Leadership, 2026 AI is making a fundamental shift in marketing practices because it enables entrepreneurs to utilize customer engagement methods that involve tailoring their offers and customer engagement approaches based on personalized and data-driven details - methods that can grow and scale. This chapter outlines how entrepreneurial organizations are utilizing AI-enabled tools, including predictive analytics, chatbots, recommendation engines, and natural language processing/messaging capabilities, to derive real customer insights from data and enhance their business decision-making. Through data, case studies, and emerging technologies, this chapter will illustrate how entrepreneurial organizations are utilizing these methods to influence their customer acquisition, retention, and long-term loyalty over time. The chapter will also examine multiple challenges and issues that entrepreneurs should consider when deploying AI effectively for their organization, such as potential data privacy issues, limitations or challenges with existing organizational integration.
Integrating Smart and Sustainable Technologies in Product Design: Bridging Innovation and Environmental Responsibility Kaushal Kishore Mishra, Pawan Pant, Azmee Zaheer, Pushpak Sharma Materials Techniques and Ecological Impact of Sustainable Prototyping, 2026 Product design has revolutionised the way businesses integrate innovative and sustainable technologies into product development, bridging the gap between innovation and environmental responsibility. This chapter explores the convergence of advanced technologies, including IoT, AI, and digital twins, with principles of sustainability, such as the circular economy, eco-design, and lifecycle management. It demonstrates how synergies are creating innovative, efficient, and environmentally responsive products, highlighting the need to address material choice, energy use, and waste reduction in material production and usage. Cases and frameworks illustrate best practices that stakeholders can use to apply such systems. Finally, it analyses emergent trends and ethical concerns that highlight implications for policy innovation in the pursuit of a sustainable future.
Digital Transformation of Mining Supply Chains: Strategies and Technologies Kaushal Kishore Mishra, Pawan Pant, Azmee Zaheer, Swati Priya Multimedia and AI Applications for Sustainable Smart Mining and Energy, 2026 The paradigm shift initiated in the mining industry has potential for much broader application. Making supply chains more sustainable, efficient and resilient is now a necessity. This chapter addresses the transformation in the mining supply chains through digitalisation; specifically, through the implementation of emerging technologies. We first define what “emerging technologies” includes including things like Artificial Intelligence (AI), Internet of Things (IoT), blockchain, cloud computing, multimedia tools and much more that can support real-time visibility, predictability and analytics, automated decision making and improved traceability, across all aspects of the mining value chain. The chapter then provides a planning framework for undertaking the digitalisation process to transform supply chains, with important elements such as technology enablers, organisational structure, and other planning aspects, through to investment planning.
Ethical Implications of Using Neuromarketing in Sustainable Finance Azmee Zaheer, Pawan Pant, Kaushal Kishore Mishra, Pratibha Gupta Cyber Risk Management and AI Governance in the Digital Era, 2026 Neuromarketing explores the use of neuroscientific techniques to study and shape consumer behaviour. Through the analysis of brain activity, eye movements, and other physiological responses, companies can uncover valuable insights into consumer preferences that conventional marketing approaches may overlook. The objective of this research paper is to analyse neuromarketing with the aim of identifying ethical concerns that give rise to criticism in this field and propose strategies to address these concerns. The present study is undertaken in the format of a critical literature review. Following an analysis of the history, nomenclature, methodology, findings, and implications of neuromarketing for consumer research, this paper concludes with an overview of the primary ethical considerations. The study's results suggest that neuromarketing has significant promise for consumer research, as it effectively acquires more precise data and novel insights on human behaviour that were previously unachievable.
The economics of sustainability: Driving profitability and resilience in business models Pawan Pant, Diksha Gandhi Transforming Business Through Digital Sustainability Models, 2025 This chapter analyzes how businesses can incorporate sustainability into their economic strategy in order to increase profitability and create long-term resilience. It analyses the financial logic behind sustainable business models that can achieve cost efficiency, revenue growth through green innovations, and operational and regulatory risk mitigation. Using this chapter, firms can get tools for setting sustainability-based financial metrics such as carbon ROI and environmental profit and loss accounts. Some of the essential strategies are optimized resource utilization, reduction in waste via principles of the circular economy, and effective use of digital technologies in increasing the efficiency of sustainability measures. It also talks about the regulatory landscape, discussing the economic benefits of proactive compliance and alignment with global standards. New funding sources such as green bonds and impact investing are also explored.
Risks to individual privacy and security in the world of deepfake technology Mastering Deepfake Technology Strategies for Ethical Management and Security, 2025
Balancing screen time and human interaction in blended learning Pawan Pant Blending Human Intelligence with Technology in the Classroom, 2025 Blended learning has emerged as a teaching method in the age of digital transformation, combining digital learning with face-to-face learning. Though screen tools have never been matched for ready access to information, student-centred learning, or developing digital literacy, over-reliance on them can deprive learners of social exposure, critical thinking, or emotional growth. Thus, equilibrium should be kept between hours of screen-gazing and genuine human connections so as to enliven and sustain education. The discussion of the overuse of screens touches on cognitive, social and emotional impacts. It develops practical frameworks to aid teachers in designing and implementing blended learning with balance and technology to enrich, not replace, human contact. Case studies and action recommendations thus highlight how educators may find a balance between the digital and interpersonal elements of education and pave the way toward resilient and adaptive learning ecosystems.
AI for sustainable personal finance and green lifestyles Pawan Pant, Kaushal Kishore Mishra, Animesh Singh Convergence of AI Education and Business for Sustainability, 2025 The chapter focuses on artificial intelligence to support sustainable personal finance and green lifestyles. With rising global awareness of the environmental dimension of sustainability, innovative potential is required to shift financial practices and personal lifestyles onto a more ecosystem-compatible pathway. AI technologies offer significant potential to address these needs through enhanced financial planning tools, green banking initiatives, and innovative consumption applications. The chapter sets the broader context of sustainable personal finance against the need for green lifestyles. The case studies illustrate the practical application of AI in these areas. They demonstrate how AI-driven financial planning tools, green banking applications, and intelligent consumption technologies can create an environment encouraging sustainable behaviours and a low carbon footprint. The chapter also deals with related implementation strategies, which include AI incorporation, user engagement, and supportive policies and regulations.
AI for Renewable Energy Grid Management and Storage Pawan Pant Cases on AI Driven Solutions to Environmental Challenges, 2025 As global trends increasingly favour renewable energy sources, the challenges of stability, reliability, and efficiency in integrating intermittent sources like solar and wind into existing grids become more pronounced. However, AI is a promising solution, offering advanced predictive capabilities, optimisation algorithms, and real-time decision-making support. This chapter will revisit the case study of AI in renewable energy grid management and storage, presenting a structured framework of methodologies, case studies, and comparative analysis. The insights gained from this study will address current challenges and inspire optimism for the future of renewable energy.
