Dr. P.Elantheraiyan an academician having 15years of experience in teaching, Industry research and administrative task and presently working as an Associate Professor in Department of Management Studies R.M.K Engineering College Tamil in Physics from A.M.Jain College University of Madras (2006) and MBA (HR & Marketing) from Madha Engineering College Anna University Chennai (2008). Obtained Ph.D in Management from Bharathiar University Coimbatore in 2018.Research interests are Organisational Behaviour , Emotional Intelligence, Competency Mapping, Organic farming, Opinion Mining Supply Chain Management and other areas of General Management and also guided more than 180 MBA,BBA,BCOM projects. Published 50 research papers and books chapters in various Scopus Indexed International journals &National Journals. Organized a series of National Conference and Management Meet every year and member of MISTE.
EDUCATION
1.B.Sc College Meenambakkam,Chennai-114-University of Madras
2.M.B.A. HR & Marketing-Madha Engineering College Chennai-69-Anna University
3. Bharathiar University Coimbatore
4.UGC NET
RESEARCH, TEACHING, or OTHER INTERESTS
Organizational Behavior and Human Resource Management, Business and International Management, Strategy and Management, Marketing
30
Scopus Publications
Scopus Publications
Emerging managerial issues in adoption of quick commerce among youngsters in India using extended UTAUT2 framework: transformative trends in retail Ravishankar Krishnan, Logasakthi Kandasamy, P. Elantheraiyan Perumal International Journal of Electronic Business, 2026 Following the COVID-19 pandemic, there has been a notable upsurge in e-commerce within India, accompanied by the emergence of quick commerce (Q-commerce). To enhance Q-commerce usage, organisations and supply chain managers must understand the key factors driving customer adoption and the influences shaping their intention to use it. Therefore, the objective of this study is to examine the level of hedonic motivation (HMT) and behaviour intention (BRI) using the extended UTAUT2 in the context of Q-commerce. Data was collected through online and field surveys, with a total of 343 participants completing a questionnaire. Multiple regression analysis was employed to test two developed models. The findings from model 1 demonstrate that hedonic motivation is positively and significantly affected by facilitating conditions, price value, and habit. Similarly, for model 2, the results indicate that behaviour intention is positively and significantly influenced by age, facilitating conditions, price value, and habit.
Manufacturing Workforce Development in Modern AI and Automation Era B. Senthil Kumar, P. Elantheraiyan, M. Vasudevan AI and Automation in Modern Manufacturing, 2026 The manufacturing industry is experiencing a significant transformation propelled by AI and automation, which is altering production methods, job functions, and labor frameworks. As routine tasks are automated, there is an increasing need for a workforce that possesses both technical and interpersonal skills. This transition requires interdisciplinary training, ongoing education, and collaboration between industry and educational institutions. While AI enhances efficiency, it also poses risks of job displacement and inequality if inclusive policies are not implemented. Workforce initiatives must focus on diversity, data literacy, and psychological support to facilitate a smooth transition. Customized strategies are essential on a global scale, as the effects of automation differ by region. By prioritizing human-centered automation, lifelong learning, and equity, we can cultivate a resilient workforce that is prepared for the future.
Artificial Intelligence in Modern Manufacturing B. Senthil Kumar, P. Elantheraiyan, S. Thandayuthapani, R. J. T. Nirmal Raj, S. Loganatha Prasanna, M. Vasudevan AI and Automation in Modern Manufacturing, 2026 The incorporation of Artificial Intelligence (AI) within the manufacturing sector signifies a crucial transition towards Industry 4.0, converting conventional systems into intelligent, automated, and data-centric operations. AI technologies—such as machine learning, computer vision, and the Internet of Things (IoT)—improve productivity, facilitate predictive maintenance, enhance quality control, and bolster supply chain resilience. Smart factories serve as a prime example of this transformation, allowing for real-time decision-making and promoting sustainability. Nevertheless, challenges such as cybersecurity threats, data privacy concerns, and workforce displacement remain, highlighting the necessity for ethical AI implementation and workforce reskilling. To fully harness the potential of AI, manufacturers must integrate it into their long-term strategies as a strategic enabler that aligns with human insight and innovation.
Human and machine collaboration: Unveiling consumer engagement strategies in data-driven marketing P. Elantheraiyan, Logasakthi Kandasamy, Ravishankar Krishnan AI Marketing and Ethical Considerations in Consumer Engagement, 2025 Marketing personalization has been famed as a transformative force in consumer engagement, largely seen with the recent inclusion of artificial intelligence (AI). With the companies wanting to create tighter bonds with their target consumers, AI solutions have exposed possibilities of creating more engaging, specific, and timely messages to the audiences. In this abstract, the multidisciplinary study of the consumer engagement framework is discussed with regards to the AI-based persona-driven marketing personalization, discovering that this paradigm can open new frontiers for customer engagement evolution and business triumph. Pivotal to this endeavor is the capacity of AI systems to mine deep and wide to identify patterns relevant to CON-SUMERS in ways that would help marketers to shape the messages, products and interfaces employed from those that are most relevant to their consumers' wants and behaviors. This can be achieved by integrating machine learning algorithms and natural language into the system and interpreting complex data patterns of the customers.
Analyzing the influence of AI technology on retail investor approaches in stock market analysis Elantheraiyan Perumal, R. Subash, Norhayati Rafida, Sankar Ganesh R. AI Marketing and Ethical Considerations in Consumer Engagement, 2025 At an unprecedented rate, artificial intelligence technologies are advancing, and most industries are impacted by this. The financial sector is no exception. This abstract explores how retail investors approach stock market analysis, which grows at a tremendous rate on account of influence from AI, technologies that shape investment strategies, decisions, and overall dynamics in the market. Recently, the availability of access to advanced AI-driven tools and applications has been unprecedented for retail investors, democratizing capabilities that were only accessible by institutional investors. The applications at one's fingertips include predictive analytics, sentiment analysis through NLP, machine learning algorithms designed to identify patterns, and automated trading systems.
Fintech innovations in service marketing and intersecting natural language processing Elantheraiyan Perumal, R Danyasree, Ravishankar Krishnan Intersecting Natural Language Processing and Fintech Innovations in Service Marketing, 2025 Fintech has merged with NLP to change the service marketing landscape of the financial sector. Merging has led to unique innovations that upgrade customer experiences, make things easier with various operational aspects, and open up new channels in the servicing of personalized financial benefits. With AI and ML slowly becoming vital for financial institutions, NLP has emerged as a vital force in understanding customer needs and fulfilling them better. NLP-based fintech innovations revamp every service marketing area, ranging from customer support to customized recommendation, fraud detection, and risk assessment. With very advanced NLP algorithms, chatbots and virtual assistants can now converse in human-like ways, adding instant and 24/7 customer support and unburdening human agents of the load. These AI-powered interfaces can decode complex queries, find sentiments, and offer more suitable solutions, dramatically improving customer satisfaction and retention rates.
Sustainable leadership, employee engagement, and organizational resilience: A holistic approach to green management Elantheraiyan Perumal, Logasakthi Kandasamy, Ravishankar Krishnan, A. Elaiyaraja, A. Abirami Green Leadership Strategies for Increased Employee Engagement and Performance, 2025 With enhanced pressure from the stakeholders and concern towards the environment, organizations have no other way than to go for green management strategies to make business sustainable in today's world. This chapter considers the sustainability dimension of leadership, employee engagement, and organizational resilience as three interlinked elements that form a holistic approach to green management. It is in this backdrop that the authors present an integrated framework that helps organizations navigate through the complexities of sustainability toward long-term success and adaptiveness. In this regard, sustainable leadership is very important in influencing organizational change for environmental responsibility. Such leaders will not only drive their organizations toward eco-friendly practices but also inspire and empower the staff to become pro-green. By so doing, sustainable leaders diffuse a culture of stewardship toward the environment throughout the organization by way of a vision, ethical decision-making, and a commitment to value creation for the long term.
Revitalizing slow fashion: Examining consumer shifts and retail strategies toward sustainability and ethical production S. Thandayuthapani, P. Thirumoorthi, P. Elantheraiyan Sustainable Practices in the Fashion and Retail Industry, 2025 Slow Fashion development is becoming increasingly noticeable as customers and retailers prioritize manageability, moral creation, and conscious utilization. This study examines the growing consumer preferences for slower, more sustainable design options and evaluates the strategies retailers employ to adapt to these changing demands. Using late information, the review underlines the effect of mindfulness, values-driven buying, and production network straightforwardness on the resurgence of slow design. The results demonstrate that implementing innovative retail strategies, such as utilizing practical materials, ensuring easy access, and focusing on digital commitment, is crucial in fostering a socially conscious and sustainable fashion industry.
Revolutionizing Food Preparation: Harnessing AI Technologies to Optimize Cooking Processes and Efficiency in Ghost Kitchens S. Thandayuthapani, P. Elantheraiyan, P. Thirumoorthi Impact of AI and the Evolution of Future Ghost Kitchens, 2025 The emergence of artificial intelligence (AI) is transforming the culinary scene, especially within ghost kitchens that function exclusively on delivery services. This study examines how AI-driven solutions optimize cooking procedures and improve operational effectiveness. Through the application of cutting-edge technologies such as machine learning, predictive analytics, and automation, ghost kitchens can enhance food preparation, reduce waste, and maintain consistent quality. Important applications encompass inventory management and real-time monitoring, facilitating swift reactions to consumer needs. The analysis also examines obstacles such as initial capital requirements and necessary training, underscoring the significance of embracing AI to stay competitive in the changing food sector.
Ethical and Sustainability Challenges for Technopreneurship: A Way Forward to Find the Solutions Elantheraiyan Perumal, Logasakthi Kandasamy, Ravishankar Krishnan Technopreneurship and Sustainability Innovation Challenges and Opportunities, 2025 The fast pace of technological change has had a huge impact on society and the economy, with few aspects of business and life escaping the advance of tech-based solutions driving greater efficiency and economic growth. But the rapid pace of innovation has created numerous sustainability challenges that technology companies need to get to grips with – and quickly. Whether it’s the carbon costs of producing hardware and powering data centers, or the social implications of artificial intelligence (AI) and respecting user privacy, these companies are facing significant Environmental Social Governance (ESG)-related challenges in synchronizing their business models with the environment, their people and the communities they serve. In the fast-moving tech world, being ecologically sustainable is vital. Companies have got to show they care about the planet to attract “green-minded” customers and investors. There is a need for a long-term environmental plan This is where Green IT plays a vital role in the entire sustainability game. Environmental ethics (EE): That is related to with producing using e-waste. Switching to all-renewal-energy data centers, new high-efficiency cooling tech, and convincing employees to use less power are all major steps. Tech companies must also transition to a circular economy, shifting from the age of “take, make, trash” making durable, reusable goods from the beginning.
Effect of occupational distress among the magnesite employees in south India: An analysis with demographical variables International Journal of Mechanical and Production Engineering Research and Development, 2018
