Jayasubramanian | Business, Management and Accounting | Best Faculty Award

Published on by Academic Excellence

Best Faculty Award

JAYASUBRAMANIAN P
Dr.N.G.P. Arts and Science College, Coimbatore, India

JAYASUBRAMANIAN P
Affiliation Dr.N.G.P. Arts and Science College
Country India
Google Scholar ID DiNYKL4AAAAJ
Documents 76
Citations 128
h-index 5
Subject Area Business, Management and Accounting
Event International Academic Excellence Awards
ORCID 0000-0002-4009-2603

JAYASUBRAMANIAN P is an academic researcher affiliated with Dr.N.G.P. Arts and Science College, Coimbatore, whose scholarly work is situated within Business, Management and Accounting. The available research record comprises 76 documents, 128 citations and an h-index of 5. His publication portfolio includes studies addressing consumer behaviour, digital retail technologies, sustainability, energy management and technology-enabled business operations. [1]

Abstract

JAYASUBRAMANIAN P’s academic profile reflects research activity across contemporary business and management themes. His work connects consumer behaviour with emerging digital commerce, technology adoption and sustainable business practices. Recent publications include research on quick-commerce consumer behaviour using artificial neural network analysis and the application of RFID technology within fashion and textile retail operations. His 2026 contribution to sustainable business systems further addresses green supply chains and energy management. [2] [3]

Keywords

Business management; consumer behaviour; quick commerce; artificial neural networks; retail operations; RFID technology; sustainable business; green supply chain; energy management; online shopping.

Introduction

The research profile demonstrates an interdisciplinary orientation within business and management studies. Earlier work examined customer satisfaction in online shopping, while other research considered solar energy systems in India, indicating an interest in consumer markets, sustainability and technology-related business questions. [4] [5]

Research Profile

The documented profile contains 76 scholarly documents and 128 citations, with an h-index of 5. These indicators provide a quantitative description of research visibility but do not independently measure teaching quality or the broader academic contribution of a faculty member. The research themes suggest continuing engagement with digitally mediated commerce, operational technologies and sustainable management.

Research Contributions

  • Research on online shopping investigates customer satisfaction and consumer-oriented dimensions of digital commerce. [4]
  • Recent work applies artificial neural network analysis to understand consumer behaviour in quick commerce. [2]
  • Research on RFID examines technology applications in fashion and textile retail operations. [3]
  • The 2026 sustainable-business publication addresses green supply chains and energy management. [1]

Publications

Sustainable Business Systems: Strategies for Green Supply Chain and Energy Management (2026), Springer Nature Switzerland.  [1]

Understanding Consumer Behavior in Quick Commerce: Insights from Artificial Neural Network Analysis (2026), Studies in Systems Decision and Control. [2]

The impact of RFID technology on fashion and textile retail operations (2025), Asian Textile Journal. [3]

Research Impact

The reported citation count of 128 and h-index of 5 indicate measurable scholarly visibility. A Google Scholar record also identifies earlier publications receiving citations, including the study on customer satisfaction towards online shopping and research concerning solar energy systems in India. [4] [5] These indicators should be interpreted alongside publication quality, relevance, collaboration, teaching contributions and disciplinary context.

Award Suitability

The Best Faculty Award recognition is supported by a documented academic publication record, sustained research activity and contributions spanning business, management, consumer behaviour and technology-enabled operations. The combination of 76 documents, 128 citations and an h-index of 5 provides quantitative evidence of scholarly activity, while the range of research topics demonstrates engagement with evolving business challenges. Final award assessment should additionally consider institutional service, teaching excellence, leadership, peer recognition and other criteria established by the award program.

Conclusion

JAYASUBRAMANIAN P presents a research profile aligned with contemporary Business, Management and Accounting scholarship. His publications address digital commerce, consumer behaviour, retail technology and sustainable business systems. The available bibliometric record and publication evidence provide a structured basis for considering his profile for the Best Faculty Award under the Scientists Research Awards event.

References

  1. Jayasubramanian, P. (2026). Sustainable Business Systems: Strategies for Green Supply Chain and Energy Management. Springer Nature Switzerland.
    https://doi.org/10.1007/978-3-031-99470-8
  2. Jayasubramanian, P. (2026). Understanding Consumer Behavior in Quick Commerce: Insights from Artificial Neural Network Analysis. Studies in Systems Decision and Control.
    https://doi.org/10.1007/978-3-032-02056-7_40
  3. Jayasubramanian, P. (2025). The impact of RFID technology on fashion and textile retail operations. Asian Textile Journal.
  4. Jayasubramanian, P., Sivasakthi, D., & Ananthi, P. K. (2015). A study on customer satisfaction towards online shopping. International Journal of Applied Research, 1(8), 489–495.
    Google Scholar record
  5. Sasikumar, N., & Jayasubramaniam, P. (2013). Solar energy system in India. Journal of Business and Management, 7(1), 61–68.
    Google Scholar record

Jack Ng Kok Wah | Business | Academic Success Award

Published on by Academic Excellence

Dr. Jack Ng Kok Wah | Business | Academic Success Award

Multimedia University Cyberjaya | Malaysia

Dr. Jack Ng Kok Wah is a distinguished researcher and Senior Lecturer at the Faculty of Management, Multimedia University (MMU), with over thirty years of professional experience spanning academia and industry. His multidisciplinary expertise bridges healthcare, finance, education, and tourism, underscoring his commitment to advancing knowledge that drives real-world transformation. As a leading scholar in artificial intelligence and digital marketing, Dr. Ng’s research focuses on AI applications in healthcare systems, digital mental health interventions, agricultural innovation, and evolving patterns in consumer behaviour. His publications in Q1 and Q2 indexed journals have significantly contributed to contemporary discourse on data-driven decision-making, digital transformation, and technology adoption in service industries. In addition to his research accomplishments, Dr. Ng is an HRDF-certified and accredited trainer and a PIKOM-certified professional, actively involved in professional development and capacity building across Malaysia. His approach to education integrates innovation with applied learning, empowering students and professionals to harness AI and digital technologies effectively. Multilingual and technologically adept, he is also deeply engaged in promoting the practical translation of academic research into strategies that benefit both industry and society. Through his scholarly contributions and leadership, Dr. Jack Ng Kok Wah continues to play a pivotal role in shaping the future of AI-driven business practices and digital innovation, fostering collaborations that connect research excellence with impactful societal outcomes.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Ng, J. N. K. W. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery, 19(Article 47).

Ng, J. N. K. W. (2025). Revolutionizing e-Health: The transformative role of AI-powered hybrid chatbots in healthcare solutions. Frontiers in Public Health, 13.

Ng, J. N. K. W. (2025). The rise of robotics and AI-assisted surgery in modern healthcare. Journal of Robotic Surgery, 19(1), 311.

Ng, J., Wah, K., Fitriana, M., & Arumugam, T. (2023). Assumptions for structural equation modeling (SEM), normality of data distribution analysis, and model fit measures. Normality of Data Distribution Analysis & Model Fit Measures.

Wah, K., & Ng, J. (2025). AI-driven robotic surgery in oncology: Advancing precision, personalization, and patient outcomes. Journal of Robotic Surgery, 19(1), 1–11.

Bilal Husain | Business | Best Researcher Award

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Dr. Bilal Husain | Business | Best Researcher Award

Shri Sant Gajanan Maharaj College of Engineering, India

Dr. Bilal T. Husain is an accomplished academician and quantitative analyst specializing in Business Management, Financial Derivatives, and Behavioral Finance. Currently serving as an Assistant Professor in the MBA Department at Shri Sant Gajanan Maharaj College of Engineering, Shegaon, he brings extensive interdisciplinary expertise combining engineering, finance, and management. With a Ph.D. in Business Management from Sant Gadge Baba Amravati University and dual postgraduate degrees—Masters in Management Studies (Finance) and Master of Commerce—Dr. Husain has built a strong foundation in financial modeling, research methodology, and strategic management. His academic portfolio includes teaching diverse subjects such as Research Methodology, Project Appraisal, and Financial Risk Management. He has published over a dozen research papers in peer-reviewed, Scopus, and ABDC-indexed journals, alongside authoring multiple books, including one published by Bloomsbury and another independently on “Hypothesis Testing,” which achieved international readership. His scholarly contributions extend to editing academic volumes, publishing book chapters, and securing two copyrights. Beyond research, Dr. Husain has guided more than 20 dissertations, developed curriculum modules in Behavioral Finance, and introduced specialized workshops on Microsoft Excel and stock market analytics. His prior professional roles include Assistant Manager at the National Stock Exchange and Quantitative Analyst at Optionalysis, where he contributed to algorithmic trading systems and arbitrage strategies. An active participant in faculty development programs and MOOCs, Dr. Husain continues to integrate technology and analytics into management education, promoting research-driven learning and innovative problem-solving in business and finance.

Profile:  Google Scholar

Featured Publications

  • Husain, B., & Ray, S. (2025). A retrospective analysis examining the impact of coexisting diabetes and substance use disorder on hospital resource utilization. Cureus, 17(5), e83895.

  • Tamboli, N. I., Joshi, R. S., Hussain, M., Husain, B., & Darade, N. N. (2025). A retrospective analysis of patients undergoing keratoplasty in a tertiary care center. Journal of Clinical Ophthalmology and Research, 13(1), 78–81.

  • Tamboli, N. I., Jakkal, T. P., Joshi, R. S., & Husain, B. (2024). Demographic profile of ophthalmic injuries following road traffic accidents at a tertiary care hospital in Western India. Journal of Clinical Ophthalmology and Research, 12(3), 218–220.

  • Husain, B., & Umbarkar, K. (2023). A study on satisfaction level of employees with special reference to Shivangi Bakers Private Limited (Parle-G Biscuit Company) Khamgaon. International Journal of Research Publication and Reviews, 4(5), 2268–2274.

  • Husain, B., Ray, S., & Tafuto, B. (2025). A systematic review of treatment approaches for individuals with coexisting diabetes and substance use disorder. Cureus, 17(10).