Dr.Dinesh.N

@bschool.cms.ac.in

Professor, FMS CMS Business School Jain Deemed to be University Bangalore
jain deemed to be university

Dr.Dinesh.N


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https://researchid.co/dinesh_n04
Dr. Dinesh.N
MCom, MHRM, MLM, Ph.D, Dlitt.
Professor
OB and HRM
10+ years of Experience in industry and 17 + years of Experience in teaching

Result-oriented professional with a strong background of Twenty years. Facilitated excellent support services in Teaching, Technical & Administration. Excelled at multi-tasking activities. Team worker, building kind relations with colleagues/peers & superiors.
Dr. Dinesh.N is a doctorate in Management (Human Resource), having academic and industrial blend as a unique quality, 10 years of various industry and 17 years of teaching the Management subjects authored ten books. Published Twenty papers in International and National Journals and made Fifteen conference presentations, and attended more than 50 Faculty Development workshop and PhD Supervisor guiding six research scholars. Member of International Journal of Creative Research Thoughts (IJCRT), Member of various university as Board of Examiner and Board of Studies.

EDUCATION

MCOM,MLM,MHRM,PhDand DLitt

RESEARCH, TEACHING, or OTHER INTERESTS

Industrial relations, Organizational Behavior and Human Resource Management, Business, Management and Accounting
20

Scopus Publications

190

Scholar Citations

7

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Food preservation and utilization strategies for the Indian population
    K. Lakshman, P. Periasamy, N. Dinesh
    Impact of Generative AI on Food Supply Chain Management, 2025
    Food security remains a significant concern in India, where post-harvest losses, inefficient supply chains, and lack of awareness about preservation methods contribute to substantial food wastage. This research article explores various strategies for preserving and utilizing food effectively to ensure food security and sustainability. It highlights traditional and modern preservation techniques, government policies, community-driven initiatives, and the role of technology in minimizing food wastage.
  • Overview of current AI technologies in education
    Rajat B. Hubballi, P. Selvakumar, Ravikumar Seenivasan, Guru Basava Aradhya S., N. Dinesh, Pramod Kumar Seelam
    Transformative AI Practices for Personalized Learning Strategies, 2025
    At its core, AI in education aims to personalize learning, streamline administrative tasks, and foster more efficient, engaging educational interactions. Technology's ability to process vast amounts of data, recognize patterns, and generate insights can significantly improve both student outcomes and teacher effectiveness. By analyzing students' interactions, progress, and assessments, AI can identify strengths and weaknesses, adapting lessons and resources to better suit each learner. For instance, intelligent tutoring systems use algorithms to provide customized feedback and support, enhancing students' grasp of subjects and addressing gaps in their understanding more effectively than generic instruction.AI also contributes significantly to automating administrative tasks, which can alleviate some of the burdens on educators. Furthermore, AI fosters greater engagement and interactivity in the classroom. Educational tools powered by AI, such as virtual assistants and chatbots immediate help and resources to students, facilitating a more interactive learning experience.
  • Assessment and evaluation in transnational staff development
    Janet Mary Coates, K. Santhanalakshmi, N. Dinesh, S. Gandhimathi, Pankaj Singh Chandel, Mohit, P. Selvakumar
    Training and Development in Transnational Higher Education, 2025
    In an increasingly interconnected global landscape, transnational staff development has emerged as a crucial strategy for organizations aiming to enhance their competitive edge and adapt to the complexities of the modern workplace. This approach involves the development of employees across national boundaries, often through international assignments, cross-cultural training, and global collaboration initiatives. As businesses expand their operations globally, the need to equip employees with the skills to navigate diverse cultural and operational environments becomes imperative. This introductory exploration seeks to unravel the context and challenges associated with transnational staff development, offering insights into how organizations can effectively manage and leverage their international human resources. The context of transnational staff development is deeply rooted in globalization, which has significantly altered the business environment.
  • Organizational culture and values in employee-owned businesses
    P. Selvakumar, N. Dinesh, Shilpa Gaidhani, Mohit Sharma, Manjunath T. C.
    Organizational Models Cultural Dynamics and Csr Applications in Employee Owned Enterprises, 2025
    From a financial perspective, employee ownership can offer several advantages. For instance, ESOPs can provide significant tax benefits to the company and its shareholders, including tax deductions on contributions and deferrals of capital gains taxes. Additionally, employee ownership can be a strategic tool for business succession planning, particularly for privately held companies. As owners retire, transitioning to an employee ownership model can ensure that the business remains independent and continues to thrive under the stewardship of its employees. Moreover, the employee ownership model can contribute to broader economic and social benefits. Studies have shown that employee-owned firms often exhibit greater economic resilience, especially during economic downturns. This resilience can be attributed to the employees' vested interest in the company's success, which can lead to more sustainable business practices and a focus on long-term goals rather than short-term gains.
  • Reconstruction and preservation strategies for cultural heritage
    Manpreet Kaur, P. Selvakumar, N. Dinesh, Mohit, Pankaj Singh Chandel, T. C. Manjunath
    Preserving Cultural Heritage in Post Disaster Urban Renewal, 2025
    Cultural heritage reconstruction and preservation encompass a broad range of practices aimed at safeguarding the historical, architectural, and intangible elements of our shared past. This field recognizes the significance of cultural heritage not only as a testament to human creativity and resilience but also as a vital component of identity for communities and nations. As societies evolve, they face numerous challenges, including urbanization, climate change, conflict, and neglect, which threaten to erase invaluable cultural artifacts and sites. Thus, the importance of reconstructing and preserving these elements becomes paramount. The practice of cultural heritage preservation involves meticulous documentation, restoration, and conservation efforts, often relying on interdisciplinary approaches that blend history, archaeology, architecture, and art conservation. Advances in technology, such as 3D scanning and digital modeling, have revolutionized how we approach heritage preservation.
  • Engagement-Retention Nexus: How Recognition and Rewards Sustain Organizational Talent
    Dinesh Nilkanta Rao, R. Nandagopal, P. Srinivas Rao
    Applied Research for Growth Innovation and Sustainable Impact, 2025
    It explores the contribution of recognition and reward towards increasing employee engagement and retention of talent in Indian medium to large-sized service firms. Taking a cross-sectional, quantitative design, data were obtained from 300 respondents using a structured questionnaire measuring perceptions of recognition and rewards (RS) and employee engagement (EE). The instrument had satisfactory internal consistency (Cronbach’s alpha = 0.797). Statistical tests—correlation, regression, paired t-tests, ANOVA, and estimation of effect size—were performed using SPSS and SmartPLS. The results show a statistically significant, medium-strong positive correlation (r = 0.564, p < 0.001) between RS and EE. Regression analysis validates recognition and rewards as predictors of levels of engagement (R² = 0.318), which demonstrates their strategic importance. Though the t-test results did not provide a statistically significant difference of the mean between RS and EE, practical significance is apparent with the moderate effect size (Cohen’s d ≈ 0.73). The ANOVA results also provide evidence that engagement differentiates significantly across many recognition strategies and thus marks the requirement for tailored reward structures. These results confirm the interaction and supportiveness of engagement and appreciation. Recognition systems need to align with the expectations of employees by organisations to initiate highest motivation, create commitment, and lower attrition. Strategic, tailored recognition practices are needed to drive long-term talent sustainability.
  • Gender Disparities in Creative Thinking
    Vinayak Anil Bhat, Surabhi Jha, Dinesh Nilkant Rao
    Applied Research for Growth Innovation and Sustainable Impact, 2025
    In the realm of creative thinking, gender disparities have long intrigued researchers, with some studies indicating that females exhibit higher levels of creativity compared to males, while others suggest the opposite. Furthermore, there are studies that report no significant differences between genders. This study aims to explore these conflicting findings by investigating gender disparities in creative thinking among postgraduate students, providing fresh insights into this captivating field. This study employed a quantitative research design to identify any gender-related disparities in the creative thinking of students in higher education. A questionnaire was distributed among first-semester MBA postgraduate students at CMS Jain to collect quantitative data for analysis. The method of data collection involved circulating a questionnaire to the respective respondents. Psychometric tools were also utilized to assess the results of creative endeavors, measuring individuals’ abilities, character traits, educational attainment, and knowledge through questionnaires. This approach aimed to gather comprehensive information about people’s attitudes, behaviors, and thought processes. Data analysis was conducted using an independent t-test in Excel, comparing the creative performance behaviors of male and female postgraduate students from CMS Jain. The results indicated that there was no significant difference in the means, suggesting that the t-test could not identify significant gender differences in creative performance behavior. Additionally, psychometric assessments provided further insights into participants’ skills and characteristics.
  • Innovative Fraud Detection in Supply Chain Finance using Graph Attention Networks
    M Suresh, Krishna Koppa, Lakshman K, Sunitha B K, Shilpa Mary T, Dinesh. N
    3rd International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2025, 2025
    Supply Chain Finance (SCF) is essential to streamlining supply chain capital activities and lowering management costs. Big Data, the IoT, AI, and Blockchain have helped SCF make better investment decisions and create personalized risk pricing models. Fast development of these technologies has led to a more nuanced distribution of unique financial fraud patterns among usual patterns and a huge increase of SCF data. Our method involves training, feature extraction, and model preparation. More data preparation was done after bias discovery and feature selection to prepare the data for machine learning models. Linear Discriminant Analysis (LDA) in feature extraction identified the descriptions' hidden subjects. Our models were trained using HGAT, or Hierarchical Graph Attention Network. Graph Neural Networks (GNN) and traditional HGAT were typically outperformed by the suggested model at 94.34% accuracy. This model can improve supply chain finance decision-making and risk management since our method detects subtle SCF financial fraud tendencies more accurately.
  • Exploring AI-powered sentiment analysis for customer feedback and implications for digital marketing
    Om Prakash, Manoranjan Dash, N. Dinesh, Varsha Agarwal, Abhiraj Malhotra, Noopur Pandey
    Multidisciplinary Reviews, 2025
    The rapid shift of client interactions to digital platforms has significantly amplified the role of artificial intelligence (AI)-based sentiment analysis (SA) in the realm of digital marketing (DM). This research thoroughly investigates the impact of AI-driven SA in interpreting vast volumes of client comments and feedback across various digital channels. It highlights how these insights contribute to improving real-time decision-making by employing advanced Natural Language Processing (NLP) techniques designed to analyze and understand human language more effectively. A variety of machine learning (ML) and deep learning (DL) methods are explored within the study, focusing on their capability to detect nuanced emotions and subtle sentiments embedded in consumer feedback, which are critical for shaping responsive and effective marketing strategies. The research places particular emphasis on the effectiveness of hybrid models, which combine different algorithms to maximize accuracy. Additionally, it develops innovative feature extraction approaches aimed at boosting the precision of sentiment classification. The study follows a systematic review methodology aligned with Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, ensuring methodological rigor and transparency in evaluating existing literature and technologies. It also addresses persistent challenges in SA, such as sarcasm detection, handling multilingual text processing, and navigating ethical concerns related to data privacy and user consent. The further research directions include the integration of multimodal information combining text, audio, and visual data and the development of more sophisticated NLP models to refine sentiment detection further. Ultimately, this research underscores the transformative role of AI-based SA in enhancing customer experience, strengthening brand management, and optimizing digital marketing campaigns.
  • Leveraging Digital Transformation Technologies in the Hospitality Industry
    P. Periasamy, N. Dinesh
    Revolutionizing the AI Digital Landscape A Guide to Sustainable Emerging Technologies for Marketing Professionals, 2024
    This chapter addresses how to leverage the digital transformation technologies and tools for the next generation hospitality industry from India, especially in Smart Reservations and Booking Systems (SRBS), Personalized Guest Experience (PGE), Immersive Virtual and Augmented Reality (IVAR), Contactless Technology and Mobile Integration (CTMT), Artificial Intelligence and Chatbots (AIC), Blockchain for Security and Trust (BST) in simple language for all of us to understand from the Indian perspective.
  • Exploring the influence of social capital on community resilience during the times of crisis
    Shambhu Bharadwaj, Anupamaa Bijlani, N. Dinesh, Dharmendra Singh Tomar
    Multidisciplinary Science Journal, 2024
  • Impact of Social Media Marketing on Online Consumer Behavior using Self-Organizing Maps
    C Shakeela Banu, Vinayak Anil Bhat, Sweta Priya, Prashant Gupta, N Dinesh, Gourav Kalra
    2024 1st International Conference on Software Systems and Information Technology Ssitcon 2024, 2024
  • Analyzing the effects of a training programmed on the use of incidental teaching and targeted initiations by teachers with students with autism spectrum disorder
    Vandana Whig, Bineet Desai, Dinesh N.
    Multidisciplinary Science Journal, 2023
  • Cultural Diversity in Organizations and Human Resource Development Programs: A Psychological Analysis
    Journal for Reattach Therapy and Developmental Diversities, 2023
  • Exploring Human Resource Management Intelligence Practices Using Machine Learning Models
    S. Stalin Panneer Selvam, C. Paramasivan, Dinesh. N, Sayantan Mukherjee, S. Mekala, Umaya Salma Shajahan
    Proceedings of the 2023 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2023, 2023
  • Depression Detection in Twitter Tweets Using Machine Learning Classifiers
    Shruthi K Kumar, Nanditha Dinesh, Nitha L
    Proceedings 2022 2nd International Conference on Interdisciplinary Cyber Physical Systems Icps 2022, 2022
  • Forecasting Crop Using Machine Learning Model
    S Hemalatha, T. Kavitha, T.M. Saravanan, K. Chitra, N. Dinesh
    3rd International Conference on Electronics and Sustainable Communication Systems Icesc 2022 Proceedings, 2022
  • Testing validity and reliability of the questionnaire in soft skills research: A perspective from b-school alumni
    International Journal of Entrepreneurship, 2021
  • Perception of investors towards Indian commodity derivative market in Chennai city
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • An empirical study on best HR practices in micro, small and medium enterprises in bangalore
    Journal of Advanced Research in Dynamical and Control Systems, 2019

RECENT SCHOLAR PUBLICATIONS

  • Enhancing Medicare Fraud Detection Through Machine Learning with SMOTE-ENN
    S Priya, G ArockiaShamrith, N Dinesh, R Dineshkumar, P Guru
    International Journal of Engineering & Extended Technologies Research … , 2026
    2026
  • Food Preservation and Utilization Strategies for the Indian Population
    K Lakshman, P Periasamy, N Dinesh
    Impact of Generative AI on Food Supply Chain Management, 367-378 , 2026
    2026
  • Overview of Current AI Technologies in Education
    D N
    IGI-Global 1, 1-30 , 2025
    2025
  • Reconstruction and Preservation Strategies for Cultural Heritage
    D N
    IGI-Global 1, 28 , 2025
    2025
  • Overview of current AI technologies in education
    RB Hubballi, P Selvakumar, R Seenivasan, N Dinesh, PK Seelam
    Transformative AI practices for personalized learning strategies, 1-26 , 2025
    2025
    Citations: 43
  • Organizational Culture and Values in Employee-Owned Businesses
    P Selvakumar, N Dinesh, S Gaidhani, M Sharma, M TC
    Organizational Models, Cultural Dynamics, and CSR Applications in Employee … , 2025
    2025
    Citations: 3
  • Reconstruction and preservation strategies for cultural heritage
    M Kaur, P Selvakumar, N Dinesh, PS Chandel, TC Manjunath
    Preserving cultural heritage in post-disaster urban renewal, 385-412 , 2025
    2025
    Citations: 26
  • Assessment and evaluation in transnational staff development
    JM Coates, K Santhanalakshmi, N Dinesh, S Gandhimathi, PS Chandel, ...
    Training and development in transnational higher education, 387-406 , 2025
    2025
    Citations: 36
  • Blockchain and Distributed Ledger Technologies (DLTs) in the Circular Economy: A New Era for Sustainable Business Practices
    P Periasamy, N Dinesh
    International Journal of Blockchain Technologies and Applications 3 (2), 114-121 , 2025
    2025
    Citations: 1
  • Organizational Culture and Values in Employee-Owned Businesses
    D N
    https://www.igi-global.com/chapter/organizational-culture-and-values-in … , 2025
    2025
  • Impact of Social Media Marketing on Online Consumer Behavior using Self-Organizing Maps
    CS Banu, VA Bhat, S Priya, P Gupta, N Dinesh, G Kalra
    2024 First International Conference on Software, Systems and Information … , 2024
    2024
  • A STUDY ON APPLICATION OF ARTIFICIAL INTELLIGENCE AND ITS CHALLENGES IN HR
    P Deepa, E Sridevi, SR Dokku, DP Dhinakaran, S Natarajan, ...
    YUGATO 76 (1) , 2024
    2024
    Citations: 1
  • ARTIFICIAL INTELLIGENCE APPLIED TO DIGITAL MARKETING
    D N
    YUGATO 76 (1) , 2024
    2024
  • Leveraging digital transformation technologies in the hospitality industry
    P Periasamy, N Dinesh
    Revolutionizing the AI-digital landscape, 151-165 , 2024
    2024
    Citations: 8
  • Experiential Learning & Student Engagement in Business Management Education
    PC Neena, N Dinesh
    Current Educational Research 7 (1) , 2024
    2024
  • A Study on Exploring The Motivations Behind The Moonlighting
    D N
    International Journal of All Research Education and Scientific Methods … , 2024
    2024
  • A Study on Exploring Relationship between Entrepreneurship and Work Life Balance: An Examination on Challenges, Strategies and Impact on Well Being
    D N
    International Journal for Research in Applied Science & Engineering … , 2024
    2024
  • VIRTUAL COLLABORATION: A STUDY ON COMMUNICATION PATTERNS AND TEAM DYNAMICS IN HYBRID & REMOTE WORK ENVIRONMENTS
    D N
    International Journal of Novel Research and Development (www.ijnrd.org) 9 (4 … , 2024
    2024
  • View of Unveiling The Vanguard - Which Sector Is Maximizing Social Media Marketing_ (2)
    D N
    Educational Adminstrative theory 4, 9571-9574 , 2024
    2024
  • Advertisement Effectiveness: “Impact of Celebrity Endorsement and Advertisement Effectiveness on Consumer Purchase Behaviour”
    D N
    wiley ,Hindawi 7 (1) , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Overview of current AI technologies in education
    RB Hubballi, P Selvakumar, R Seenivasan, N Dinesh, PK Seelam
    Transformative AI practices for personalized learning strategies, 1-26 , 2025
    2025
    Citations: 43
  • Assessment and evaluation in transnational staff development
    JM Coates, K Santhanalakshmi, N Dinesh, S Gandhimathi, PS Chandel, ...
    Training and development in transnational higher education, 387-406 , 2025
    2025
    Citations: 36
  • Reconstruction and preservation strategies for cultural heritage
    M Kaur, P Selvakumar, N Dinesh, PS Chandel, TC Manjunath
    Preserving cultural heritage in post-disaster urban renewal, 385-412 , 2025
    2025
    Citations: 26
  • Experimental research on improvement of concrete strength and enhancing the resisting property of corrosion and permeability by the use of nano silica flyashed concrete
    S Yuvaraj, D Sujimohankumar, N Dinesh, C Karthic
    International journal of emerging technology and advanced engineering 2 (6 … , 2012
    2012
    Citations: 26
  • Testing validity and reliability of the questionnaire in soft skills research: A perspective from b-school alumni
    S Kumar, N Dinesh, P Periasamy
    International Journal of Entrepreneurship 25, 1-10 , 2021
    2021
    Citations: 18
  • An overview of employee retention strategies & its impact on turnover of the employees
    PC Neena, N Dinesh, VA Bhat
    Journal of Contemporary Issues in Business and Government Vol 29 (01) , 2023
    2023
    Citations: 9
  • Leveraging digital transformation technologies in the hospitality industry
    P Periasamy, N Dinesh
    Revolutionizing the AI-digital landscape, 151-165 , 2024
    2024
    Citations: 8
  • Impact of employee net promoter score in organizational growth
    N Dinesh, N Rajasekaran
    International journal of research and analytical reviews 5 (4), 420-424 , 2018
    2018
    Citations: 7
  • Labour dissonance at Maruti Suzuki India Limited–a case study on industrial relations
    MN Badrinath, AVS Kumar, N Dinesh
    Global Research Analysis 1 (5), 72-74 , 2012
    2012
    Citations: 6
  • Organizational Culture and Values in Employee-Owned Businesses
    P Selvakumar, N Dinesh, S Gaidhani, M Sharma, M TC
    Organizational Models, Cultural Dynamics, and CSR Applications in Employee … , 2025
    2025
    Citations: 3
  • Impact of AI in Indian BFSI sector
    P Periasamy, N Dinesh, S Padmanabhan
    Optimization 16 (1), 13-17 , 2024
    2024
    Citations: 2
  • Impact of Performance Appraisal System on the Organizational Citizenship Behavior–A study of IT and ITES organizations in top three metropolitan cities in India.
    N PC, K Vedantan
    Journal of Positive School Psychology 6 (2) , 2022
    2022
    Citations: 2
  • Blockchain and Distributed Ledger Technologies (DLTs) in the Circular Economy: A New Era for Sustainable Business Practices
    P Periasamy, N Dinesh
    International Journal of Blockchain Technologies and Applications 3 (2), 114-121 , 2025
    2025
    Citations: 1
  • A STUDY ON APPLICATION OF ARTIFICIAL INTELLIGENCE AND ITS CHALLENGES IN HR
    P Deepa, E Sridevi, SR Dokku, DP Dhinakaran, S Natarajan, ...
    YUGATO 76 (1) , 2024
    2024
    Citations: 1
  • Impact of AI on gig industry in India
    P Periasamy, N Dinesh, S Padmanabhan
    ACADEMICIA: An International Multidisciplinary Research Journal 14 (4), 9-22 , 2024
    2024
    Citations: 1
  • Sustaining real estate sector through technological interventions: purchase intention of residential apartment buyers
    V S Shastry, B MN, D N
    European Property Law Journal 11 (1-2), 98-104 , 2022
    2022
    Citations: 1
  • Enhancing Medicare Fraud Detection Through Machine Learning with SMOTE-ENN
    S Priya, G ArockiaShamrith, N Dinesh, R Dineshkumar, P Guru
    International Journal of Engineering & Extended Technologies Research … , 2026
    2026
  • Food Preservation and Utilization Strategies for the Indian Population
    K Lakshman, P Periasamy, N Dinesh
    Impact of Generative AI on Food Supply Chain Management, 367-378 , 2026
    2026
  • Overview of Current AI Technologies in Education
    D N
    IGI-Global 1, 1-30 , 2025
    2025
  • Reconstruction and Preservation Strategies for Cultural Heritage
    D N
    IGI-Global 1, 28 , 2025
    2025