Dr. Nivedita Pandey

@nimsuniversity.org

Assistant Professor, NIMS School of Business
NIMS University jaipur

Dr. Nivedita Pandey


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https://researchid.co/nniv1986

RESEARCH, TEACHING, or OTHER INTERESTS

Organizational Behavior and Human Resource Management, General Business, Management and Accounting, Tourism, Leisure and Hospitality Management, Marketing
10

Scopus Publications

73

Scholar Citations

5

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Smart scheduling in human resource management: the role of AI and algorithmic optimization
    Geetha Manoharan, Nivedita Pandey, Sandip Chandra, Rashmi Gupta, Aneesya Panicker, M. K. Sharma
    Connecting Intelligence Trends in Computation and Data Communication, 2026
    The exploitation of the artificial intelligence in the scheduling of the workforce has transformed the way organizations deal with their employees. The review of the data of 1,000 employees over 12 weeks reveals that AI-based systems reduced overtime hours by 75.3% and schedule conflict by 66.2% and increased employee satisfaction by 41.7%. The hybrid AI models performed the optimization task with a high degree of accuracy (94.8%) and good scalability. These findings exemplify the benefits of algorithmic optimization, not only in terms of efficiency but also in terms of generating more balanced schedules that are more reliable, which makes AI a promising solution in the management of workforces in the modern world.
  • Generative AI for Dynamic Ad Copy Creation and Optimization in E-Commerce
    Shery Asthana, Nivedita Pandey
    Proceedings Iceconf 2025 2025 2nd International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering, 2025
    Increased need of personalized and persuasive advertising in e-commerce has motivated studies in generative artificial intelligence (AI) to create dynamic copy of advertisements. In this paper, to utilize the Hugging Face ecosystem, KG-FedMoRL, a knowledgebased, federated, multipropionate reinforcement learning system is presented. The suggested model combines product knowledge graphs, multimodal transformers and privacy-preserving federated fine-tuning with parameterefficient learning into generating factual, brandcompliant, and personalized ad copies. The reward system based on multi-objective that unites the click-through rate, conversion rate, dwell time, sentiment, and factual alignment guarantees the optimization of the engagement and trustworthiness. According to experimental tests, KGFedMoRL attains better results in comparison to baseline models since they achieve greater accuracy in factual consistency and generate better user engagement coupled with reduced computational costs. The framework does not only discuss major problems of scalability, interpretability, and privacy but also creates a powerful pipeline to deploy the framework in the real-life application in dynamic advertising systems. The findings highlight the fact that it can reshape the concept of automated ad copy optimization within the contemporary e-commerce ecology.
  • Intelligent and Sustainable System of Information for the Travel and Tourism Sector
    Siya Sharma, Nivedita Pandey
    2025 2nd International Conference on Multidisciplinary Research and Innovations in Engineering Mrie 2025, 2025
  • Enhancing Sustainable Tourism with AI-Powered Cloud-Based Predictive Models for Intelligent Travel Destinations
    Siya Sharma, Nivedita Pandey
    2025 2nd International Conference on Multidisciplinary Research and Innovations in Engineering Mrie 2025, 2025
  • AI-Driven Influencer Marketing Platform for Targeted Brand Campaigns
    Deepika Kumari, R. Thanga Prashath, Nivedita Pandey
    Proceedings of 2025 10th International Conference on Science Technology Engineering and Mathematics Iconstem 2025, 2025
    The proposed study reflects on the concept of an AI-powered Influencer Marketing Platform of Targeted Brand Campaigns aimed at making influencer selection and campaign performance more accurate and effective with the help of intelligent data-driven modelling. The proposed framework constitutes Semi-Supervised Data Augmentation to enhance dataset diversity and imbalance management, mRMR (Minimum Redundancy Maximum Relevance) to select features optimally and a Hybrid Graph Transformer Network (HGTN) to learn features in their context and relationship. The system implements the concepts of influencers and brands as a graph node that is influenced by another and it can be described as a dynamic engagement pattern and influence propagation that takes place on social networks, which is implemented with PyTorch and PyTorch Geometric (PyG). With experimental analysis, it has been shown that accuracy, precision, and adaptability in machine learning and deep learning methods have significantly improved. In addition, the explainable architecture of the model offers actionable information to the marketer, allowing transparent and scalable optimization of a campaign. This study offers a solid, smart and explainable solution to further the contemporary influencer marketing practices.
  • Cognitive Computing for Smart Spectrum Allocation in Wireless Systems
    Geetha Manoharan, Mini Jain, Nivedita Pandey, Kawerinder Singh Sidhu, Rahul Joshi, Nikhil Polke
    2025 International Conference on Computing Technologies and Data Communication Icctdc 2025, 2025
    To fill the gap of dynamic and efficient spectrum management, this research presents a cognitive computing for smart spectrum allocation in wireless systems. In preprocessing, the input features are uniform scaled such that the input features are scaled using Z-Score Standardization for learning stability. Diminsionality reduction is carried out with Principal Component Analysis (PCA) to use less data, thus reducing the computational complexity while maintaining the important data patterns. A Multi Agent Deep Q Network (MADQN) makes up the core decision making component and allows the distributed agents to learn optimum spectrum allocation strategies in a decentralized manner. A model is built using TensorFlow for training, and the wireless communication environments and reinforcement learning interactions are simulated using NS-3 and OpenAI Gym. Results of simulation indicate that spectrum utilization and collision avoidance and convergence time increase from traditional methods are quite large. Finally, a fully integrated approach to spectrum decision making is presented; it extends from raw channel measurements, through autonomous inference discovery, to intelligent adaption of network configuration based at MAC, link and network levels using offline and continuous online methods.
  • Customer Satisfaction and Service Quality with Effective Practices of Human Resource Management
    Nivedita Pandey, S. Shyam Sundar, Brijesh Goswami, Somanchi Hari Krishna, Deepti Sharma, Shilpa Tandon
    Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development, 2025
    Artificial intelligence (AI) has the ability to revolutionize society and alter the function of human resource management (HRM) procedures. Key competencies, business procedures like knowledge management, and customer outcomes like satisfaction and perceptions of service quality are all areas where AI is clearly being felt. Despite the fact that research has examined the connections among HRM practices and the success of various firms, it is still quite uncommon for research to examine the processes that may be the catalyst for such links.The objectives of this research are to enhance consumer satisfaction and service quality, and optimize the HRM process.A backpropagation neural network (BPNN) is used to 339create a salary prediction model (SPM) based on AI digitizing technology. The Nesterov and Adaptive Moment Estimation (Nadam) algorithms are then combined to optimize the model. Findings reveal that the Nadam optimization algorithm has the best optimization effect and the fastest convergence time when compared to other optimization algorithms. The results imply that AI digitization technology based HRM practices are beneficial in improving customer satisfaction and service caliber.
  • Cognitive Computing for Personalized Recommendation Systems in E-Commerce
    Geetha Manoharan, Mini Jain, Nivedita Pandey, Kawerinder Singh Sidhu, Rahul Joshi, Nikhil Polke
    Proceedings 2025 International Conference on Recent Innovation in Science Engineering and Technology Icriset 2025, 2025
    Cognitive computing has become a paradigm-shifting concept in the improvement of personalized recommendation systems on the territory of the e-commerce sector. With cutting-edge deep learning (DL) technologies, in the form of the powerful Transformer frameworks, Graph Neural Networks (GNNs) and Variational Autoencoders (VAEs), it is now possible to capture user behavior, context, and preferences in a never-before-seen level of accuracy. Such models are more than conventional collaborative filtering with incorporation of real-time user interaction, semantics content interpretation, and multi-modal data integration. An outstanding instrument in this field is Amazon SageMaker, that enables the scope of scalable DL-driven recommendation engines by propelling model preparation, maximization and impression. By using them in conjunction with cognitive computing, it is possible to do adaptive learning, natural language understanding and emotion-aware personalization, essentially transforming user engagement and purchase intent in e-commerce platforms.
  • Navigating the green beauty boom: Unveiling the influence of social media on consumer behavior in the organic cosmetics industry
    Nivedita Pandey, Abhishek Vaishnava, Priyanka Gupta
    European Journal of Sustainable Development Research, 2024
    It has been evident in the recent years that the natural and organic segment particularly in the beauty industry is steadily growing with people’s awareness of the health effects of using natural products. Today, social networks are the main driving force affecting consumer attitude and their behavior concerning this sector. This paper will seek to evaluate the utility of social media and the purchase pattern in the organic cosmetics sector. The ‘literature review outlines several that have led to what is commonly referred to as the ‘green beauty boom’ The theoretical framework entails theories from the marketing channel that regards consumer behavior within the social media and eWOM contexts. The research designed consisted of a written self- administered survey and face- to face interviews with fifteen consumers of organic beauty products within the age range of 18-35 years whereby data was gathered and analyzed qualitatively by the use of thematic analysis. Stylized facts also establish how the content on social media platforms and reviews influence distinct stages in the consumer decision process of organic cosmetics. Of all the mentioned evaluative resources, those commonly used by consumers include resources accessed from social media sites. Moreover, as to the communities of people, who are interested in organic lifestyles or natural products influencing the degree of positive attitudes in the usage of natural ingredients and environmental sources. Consequently, the author discusses the subsequent marketing implications for the brands based on the paper and provides ideas for the subsequent brand development, the opportunities, and the possible ethical issues that should be considered by brands in the context of this area. From this study further research can be made to contribute to the mass pool of data that helps in understanding new media that constitutes consumer culture today.
  • Management of Human Resources 2.0: Applying Machine Learning to the Recruitment and Retention of Talent
    Somanchi Hari Krishna, Nivedita Pandey, Thejasvi Sheshadri, Melanie Lourens, Anu Bala, Indira Bhati
    Proceedings of International Conference on Communication Computer Sciences and Engineering Ic3se 2024, 2024
    The battle for human resources is getting fiercer as the social economy develops more quickly. As the main method used by businesses to hire new employees, hiring and retention are crucial factors in predicting how these companies will expand in the future. A company's most valuable asset is its workforce. It will always be more laborious and costly for recruiting new employees than retain the current ones. The objective of the paper is to identify the primary causes of voluntary employee turnover and discuss timely strategies for addressing them. The approach suggested in this work models and examines several machine learning classifiers successfully in order to estimate the likelihood of recruiting and retaining candidates prior to training, as well as to illustrate features that influence the decision of the target candidate. The data comes from Kaggle. The outcomes of the algorithms are expressed using traditional metrics; the RF classifier yielded the highest accuracy percentage.

RECENT SCHOLAR PUBLICATIONS

  • Bridging healthcare gaps through telemedicine: A case study of private hospital initiatives in Jaipur, India
    NP Pradeep Singh Shekhawat
    Journal of Contemporary Studies in Epidemiology and Public Health 7 (1), 1-10 , 2026
    2026
  • Bridging healthcare gaps through telemedicine: A case study of private hospital initiatives in Jaipur, India. J CONTEMP STUD EPIDEMIOL PUBLIC HEALTH. 2026; 7 (1): ep26004
    PS Shekhawat, N Pandey
    Journal of Contemporary Studies in Epidemiology and Public Health 7, 1 , 2026
    2026
  • Cognitive Computing for Personalized Recommendation Systems in E-Commerce
    G Manoharan, M Jain, N Pandey, KS Sidhu, R Joshi, N Polke
    2025 International Conference on Recent Innovation in Science Engineering … , 2025
    2025
  • AI-Driven Influencer Marketing Platform for Targeted Brand Campaigns
    D Kumari, RT Prashath, N Pandey
    2025 Tenth International Conference on Science Technology Engineering and … , 2025
    2025
  • Generative AI for dynamic ad copy creation and optimization in e-commerce
    S Asthana, N Pandey
    2025 2nd International Conference on Artificial Intelligence and Knowledge … , 2025
    2025
    Citations: 1
  • Intelligent and Sustainable System of Information for the Travel and Tourism Sector
    S Sharma, N Pandey
    2025 2nd International Conference On Multidisciplinary Research and … , 2025
    2025
  • Enhancing Sustainable Tourism with AI-Powered Cloud-Based Predictive Models for Intelligent Travel Destinations
    S Sharma, N Pandey
    2025 2nd International Conference On Multidisciplinary Research and … , 2025
    2025
    Citations: 1
  • Ethical Challenges and Safeguards in Research Integrity in the Era of Artificial Intelligence
    N Pandey, S Ganguly, A Vaishnava
    World Digital Libraries 18 (1), 47-61 , 2025
    2025
  • Customer Satisfaction and Service Quality with Effective Practices of Human Resource Management
    N Pandey, SS Sundar, B Goswami, SH Krishna, D Sharma, S Tandon
    Recent Trends In Engineering and Science for Resource Optimization and … , 2025
    2025
    Citations: 1
  • Transforming HR analytics with AI and quantum network integration
    X Naveenraj, N Pandey, V Asha, VCJ Mohan, G Sethi, JA Dhanraj
    AI and Quantum Network Applications in Business and Medicine, 413-430 , 2025
    2025
    Citations: 3
  • An Analysis Of Hr Policy Performance And Implementation In Selected It Companies In India
    N Pandey, A Vaishnava, P Gupta
    Asian Journal of Management, Entrepreneurship and Social Science 5 (01), 1-22 , 2025
    2025
  • Navigating the green beauty boom: Unveiling the influence of social media on consumer behavior in the organic cosmetics industry
    PG Nivedita Pandey , Abhishek Vaishnava
    European Journal of Sustainable Development Research 8 (4), 1-6 , 2024
    2024
    Citations: 14
  • Deployment of AI tools and technologies on academic integrity and research
    S Ganguly, N Pandey
    Bangladesh Journal of Bioethics 15 (2), 28-32 , 2024
    2024
    Citations: 18
  • Management of Human Resources 2.0: Applying Machine Learning to the Recruitment and Retention of Talent
    SH Krishna, N Pandey, T Sheshadri, M Lourens, A Bala, I Bhati
    2024 International Conference on Communication, Computer Sciences and … , 2024
    2024
    Citations: 5
  • Exploring Work-Life Balance: Challenges and Strategies for Women in the Modern Professional Landscape
    PS M Vashisht, N Pandey
    INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 8 … , 2024
    2024
    Citations: 8
  • The Role of the Internet of Things in Improving Human Resource Management Practices in Marketing Companies
    DN Pandey
    Journal of Informatics Education and Research 4 (2), 1175 -1185 , 2024
    2024
    Citations: 4
  • Green cosmetics: The factors influencing green purchase behavior of youth in Ajmer City
    A Shrivastava, P Ranawat, A Vaishnava, N Pandey
    Rabindra Bharati University Journal of Economics, XXVII 9, 43-53 , 2023
    2023
    Citations: 4
  • Exploring the factors affecting the work-life balance of ASHA’s health workers and their impact on performance in rural Uttarakhand
    N Pandey
    Int. J. Sci. Res. Eng. Manag 7, 150-155 , 2023
    2023
    Citations: 4
  • One Station One Product (OSOP) Scheme of India in a Digital World: A Comparative Study Of OSOP with ODOP with strategies
    US Yadav, R Tripathi, GP Yadav, N Pandey, MA Tripathi
    Journal of Positive School Psychology, 10907-10917 , 2022
    2022
    Citations: 6
  • Work life balance and working Indian mothers: An empirical study
    N Pandey, M Dhanopia
    International Journal of Engineering Applied Sciences and Technology 4 (7 … , 2019
    2019
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Deployment of AI tools and technologies on academic integrity and research
    S Ganguly, N Pandey
    Bangladesh Journal of Bioethics 15 (2), 28-32 , 2024
    2024.0
    Citations: 18
  • Navigating the green beauty boom: Unveiling the influence of social media on consumer behavior in the organic cosmetics industry
    PG Nivedita Pandey , Abhishek Vaishnava
    European Journal of Sustainable Development Research 8 (4), 1-6 , 2024
    2024.0
    Citations: 14
  • Exploring Work-Life Balance: Challenges and Strategies for Women in the Modern Professional Landscape
    PS M Vashisht, N Pandey
    INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 8 … , 2024
    2024.0
    Citations: 8
  • One Station One Product (OSOP) Scheme of India in a Digital World: A Comparative Study Of OSOP with ODOP with strategies
    US Yadav, R Tripathi, GP Yadav, N Pandey, MA Tripathi
    Journal of Positive School Psychology, 10907-10917 , 2022
    2022.0
    Citations: 6
  • Management of Human Resources 2.0: Applying Machine Learning to the Recruitment and Retention of Talent
    SH Krishna, N Pandey, T Sheshadri, M Lourens, A Bala, I Bhati
    2024 International Conference on Communication, Computer Sciences and … , 2024
    2024.0
    Citations: 5
  • The Role of the Internet of Things in Improving Human Resource Management Practices in Marketing Companies
    DN Pandey
    Journal of Informatics Education and Research 4 (2), 1175 -1185 , 2024
    2024.0
    Citations: 4
  • Green cosmetics: The factors influencing green purchase behavior of youth in Ajmer City
    A Shrivastava, P Ranawat, A Vaishnava, N Pandey
    Rabindra Bharati University Journal of Economics, XXVII 9, 43-53 , 2023
    2023.0
    Citations: 4
  • Exploring the factors affecting the work-life balance of ASHA’s health workers and their impact on performance in rural Uttarakhand
    N Pandey
    Int. J. Sci. Res. Eng. Manag 7, 150-155 , 2023
    2023.0
    Citations: 4
  • Transforming HR analytics with AI and quantum network integration
    X Naveenraj, N Pandey, V Asha, VCJ Mohan, G Sethi, JA Dhanraj
    AI and Quantum Network Applications in Business and Medicine, 413-430 , 2025
    2025.0
    Citations: 3
  • Work life balance and working Indian mothers: An empirical study
    N Pandey, M Dhanopia
    International Journal of Engineering Applied Sciences and Technology 4 (7 … , 2019
    2019.0
    Citations: 2
  • Catalyzing the flames of Transformation in India: Unleashing Feminine Potential through the Pradhan Mantra Ujjwala Yojana in Rural Regions of Jaipur
    DN Pandey, DA Vaishnava
    ISSN , 0
    Citations: 2
  • Generative AI for dynamic ad copy creation and optimization in e-commerce
    S Asthana, N Pandey
    2025 2nd International Conference on Artificial Intelligence and Knowledge … , 2025
    2025.0
    Citations: 1
  • Enhancing Sustainable Tourism with AI-Powered Cloud-Based Predictive Models for Intelligent Travel Destinations
    S Sharma, N Pandey
    2025 2nd International Conference On Multidisciplinary Research and … , 2025
    2025.0
    Citations: 1
  • Customer Satisfaction and Service Quality with Effective Practices of Human Resource Management
    N Pandey, SS Sundar, B Goswami, SH Krishna, D Sharma, S Tandon
    Recent Trends In Engineering and Science for Resource Optimization and … , 2025
    2025.0
    Citations: 1
  • Bridging healthcare gaps through telemedicine: A case study of private hospital initiatives in Jaipur, India
    NP Pradeep Singh Shekhawat
    Journal of Contemporary Studies in Epidemiology and Public Health 7 (1), 1-10 , 2026
    2026.0
  • Bridging healthcare gaps through telemedicine: A case study of private hospital initiatives in Jaipur, India. J CONTEMP STUD EPIDEMIOL PUBLIC HEALTH. 2026; 7 (1): ep26004
    PS Shekhawat, N Pandey
    Journal of Contemporary Studies in Epidemiology and Public Health 7, 1 , 2026
    2026.0
  • Cognitive Computing for Personalized Recommendation Systems in E-Commerce
    G Manoharan, M Jain, N Pandey, KS Sidhu, R Joshi, N Polke
    2025 International Conference on Recent Innovation in Science Engineering … , 2025
    2025.0
  • AI-Driven Influencer Marketing Platform for Targeted Brand Campaigns
    D Kumari, RT Prashath, N Pandey
    2025 Tenth International Conference on Science Technology Engineering and … , 2025
    2025.0
  • Intelligent and Sustainable System of Information for the Travel and Tourism Sector
    S Sharma, N Pandey
    2025 2nd International Conference On Multidisciplinary Research and … , 2025
    2025.0
  • Ethical Challenges and Safeguards in Research Integrity in the Era of Artificial Intelligence
    N Pandey, S Ganguly, A Vaishnava
    World Digital Libraries 18 (1), 47-61 , 2025
    2025.0