Marketing, Management Information Systems, Business and International Management, Strategy and Management
8
Scopus Publications
73
Scholar Citations
4
Scholar h-index
2
Scholar i10-index
Scopus Publications
Predicting ESG Scores Using Machine Learning for Data-Driven Sustainable Investment Sanskruti Patel, Abhay Nath, Pranav Desai Analytics, 2026 Environmental, social and governance (ESG) metrics increasingly inform sustainable investment yet suffer from inter-rater heterogeneity and incomplete reporting, limiting their utility for forward-looking allocation. In this study, we developed and validated a two-level stacked-ensemble machine-learning framework to predict total ESG risk scores for S&P 500 firms using a comprehensive feature set comprising pillar sub-scores, controversy measures, firm financials, categorical descriptors and geospatial environmental indicators. Data pre-processing combined median/mean imputation, one-hot encoding, normalization and rigorous feature engineering; models were trained with an 80:20 train–test split and hyperparameters tuned by k-fold cross-validation. The stacked ensemble substantially outperformed single-model baselines (RMSE = 1.006, MAE = 0.664, MAPE = 3.13%, R2 = 0.979, CV_RMSE_Mean = 1.383, CV_R2_Mean = 0.957), with LightGBM and gradient boosting as competitive comparators. Permutation importance and correlation analysis identified environmental and social components as primary drivers (environmental importance = 0.41; social = 0.32), with potential multicollinearity between component and aggregate scores. This study concludes that ensemble-based predictive analytics can produce reliable, actionable ESG estimates to enhance screening and prioritization in sustainable investment, while recommending human review for extreme predictions and further work to harmonize cross-provider score divergence.
Privacy Preserving AI Models for Ubiquitous Learning Management Systems Pranav Desai, Vaibhavi Patel, Sanskruti Patel Proceedings of the 2026 International Conference on AI Driven Smart Systems and Ubiquitous Computing Icauc 2026, 2026 A Learning Management System (LMSs) gathers a lot of data regarding the manner in which students communicate with each other and how they are performing in the classroom. This information can be used by people to identify students who could be struggling and do it early. That is a privacy headache, not to mention a legal and data management nightmare--with such laws as FERPA and GDPR at stake. The following paper presents a solution: a cross-institutional model of predicting student performance, but one based on privacy requirements. It is a union of federated learning and differential privacy, therefore, institutions may collaborate to create smarter models without revealing raw student data. The simple neural network is trained locally in each school. Then, tricks, such as gradient clipping, and introducing controlled noise come in, ensuring that privacy is not merely a promise, but a feature. Experiments on real educational data demonstrate that such a framework works almost as effectively as the standard centralized models. The gaps in accuracy, F1-score, and AUC are minimal-barely noticeable. Besides, the privacy-utility analysis demonstrates that it is possible to achieve high privacy protection without compromising on much prediction power. Ultimately, this will provide institutions with an option of doing intelligent, scalable learning analytics without going past the legal line or losing the ability to regulate their own data. It is one step toward creating AI in the field of education that individuals can trust.
Artificial Intelligence In Strengthening The Operations of Ecommerce Based Business Pranav Desai, Krutrth Ganatra 2022 International Conference on Interdisciplinary Research in Technology and Management Irtm 2022 Proceedings, 2022 Disruptive technologies similar as the internet of effects, big data analytics, block chain, and artificial intelligence have changed the ways businesses operate. Of all the disruptive technologies, artificial intelligence (AI) is the rearmost technological change agent and holds immense marketing metamorphosis eventuality. Interpreters worldwide are trying to figure out the stylish fit AI results for their marketing functions. Still, a methodical literature review can punctuate the significance of artificial intelligence (AI) in marketing and map future exploration directions. The present study aims to offer a comprehensive review of AI in marketing using bibliometric, abstract and intellectual network analysis of extant literature published between 1982 and 2020. A comprehensive review of one thousand five hundred and eighty papers helped to identify the scientific actors' performance like utmost applicable authors and utmost applicable sources. Likewise, co-citation and co-occurrence analysis offered the abstract and intellectual network. Data clustering using the Louvain algorithm helped identify exploration sub-themes and unborn exploration directions to expand AI in marketing. The operations of artificial intelligence in e-commerce showed further details with numerous practical exemplifications from Amazon.com. The company is an important transnational-retailer that's using artificial intelligence ways for online shopping. In this part, it was shown how Amazon has used artificial intelligence in e-commerce; how Amazon's guests have achieved better experience and anticipation when copping online through artificial intelligence in e-commerce ways and the future of Amazon how to carry out online business successfully. In conclusion, artificial intelligence obviously affects a lot in the world and mortal life. In this thesis, the way how artificial intelligence is changing business in e-commerce assiduity can be seen more deeply.
Engaging with stakeholders for developing an effective entrepreneurial ecosystem in universities based in rural setup Pranav D. Desai Rural Entrepreneurship and Innovation in the Digital Era, 2020 This chapter proposes a new model that promotes and develops an entrepreneurial ecosystem in universities based in rural setup. The entrepreneurial universities could accomplish the status as an innovative environment center by collaborating with new businesses. Universities in rural areas can introduce business training, college business hatcheries, and college endeavor government-common society cooperation that enabled entrepreneurial behaviors. The target of a business college filling in as a pioneering entrepreneurial eco-system development center is to animate financial advancement, produce work, and make imaginative innovation-based endeavors or acting as an administration organization. While these services can be provided through a university, a university in a rural set up has an opportunity to act as a center for the economic development in rural areas. Attention is set on the need to create solid coordinated effort among key partners for making progress in building a viable enterprising system.
The ICT adoption in AMUL: An easy, innovative, self-sustainable approach for rural regions Pranav D. Desai Rural Entrepreneurship and Innovation in the Digital Era, 2020 The adoption of information communication technologies (ICT) in rural regions of Gujarat by the Gujarat Cooperative Milk Marketing Federation Limited (GCMMFL) can be considered as an iconic practice in the dairy industry in India. It is typically assumed that the efforts associated with the investment of ICT in rural area are not as effective as expected, though in the case of Amul, it was proved otherwise. Amul is a dairy farming company that produces a variety of milk products and GCMMF takes responsibility of distributing and marketing of the products of it. Amul has been a forerunner of rural India's adoption of ICT in dairy industry. This chapter shares the success story of Amul and how they utilized ICT in the dairy industry. The application of IT enabled Amul to get better control for the accumulated milk from scattered suppliers. The Amul case is a prime example for the enabling role of the technology for innovation.
RECENT SCHOLAR PUBLICATIONS
Digital Transformation and Consumer Experience: Investigating the Impact of Technology Adoption on Purchase Behavior in E-Commerce. P Desai, F Thomas, D Upadhayay, S Patel Advances in Consumer Research 3 (4), 425 , 2026 2026
Privacy Preserving AI Models for Ubiquitous Learning Management Systems DSP Dr. Pranav Desai, Dr. Vaibhavi Patel Proceedings of the International Conference on AI-Driven Smart Systems and … , 2026 2026
Predicting ESG Scores Using Machine Learning for Data-Driven Sustainable Investment S Patel, A Nath, P Desai Analytics 5 (1), 7 , 2026 2026 Citations: 4
Research Methodology and Analytical Techniques (Text Book) DAD Dr. Ruchita Sujai Chowdhary, Dr. Yugesh Anil Kharche, Dr. Pranav Desai 2024
A Study on the Influence of Endorser Image on Brand Attitudes and Purchasing Intentions V Makwana, P Desai Interdisciplinary Research in Technology and Management, 328-336 , 2024 2024
SHREE SANTRAM SEVA DARSHAN - A Case Study of Social and Entrepreneurial Contribution by A Faith-Based Organization: SHREE SANTRAM SAMADHI STHAN DP Desai 2024
A Study on marketing trends, consumer behaviour and competitive analysis on colour cosmetic industry P Desai, N Galyara Interdisciplinary Research in Technology and Management, 48-60 , 2023 2023 Citations: 1
Entrepreneurship (Text Book) DRS Dr. Pranav Desai, Balamurali Bhaskaran, Dr. Frince Thomas 2023
Classroom Beyond Walls: Perspectives of Students and Teachers on Pedagogy and Features of MOOCs PD Vijay Makwana Information Systems for Intelligent Systems - Proceedings of ISBM 2022 324 … , 2023 2023 Citations: 1
Role and Rewards of Information and Communication Technology (ICT) Interventions in Edification During COVID-19 Pandemic P Desai, B Pandya ICT Infrastructure and Computing: Proceedings of ICT4SD 2022, 645-654 , 2022 2022
Prospects of Smart Tourism in India- A Post-Pandemic Perspective DPDJ Yagnik National Press 1, 67-87 , 2022 2022
ONLINE EDUCATION STARTUPS: TRENDS AND OPPORTUNITIES POST COVID 19 PD Snehal Bhatt Proceedings of First International Conference on Youth and Entrepreneurship … , 2022 2022
Prospects of Smart Tourism in India- A Post-Pandemic Perspective JY Pranav Desai Emerging Opportunities in Tourism and Hospitality Industry 1, 14-18 , 2022 2022
Prison Entrepreneurship: A Step towards Social Reintegration KH Pranav Desai Transforming Business in ESG (Environmental, Social, Governance) Proceeding … , 2022 2022
A STUDY ON FACTORS AFFECTING E-LEARNING PREFERENCES: AN ANALYSIS ON UNIVERSITY STUDENTS OF WESTERN INDIA DURING LOCKDOWN 2020 P Desai Science, Education and Innovations in the context of modern problems … , 2022 2022
A Study on Marketing Trends, Consumer Behavior and Competitive Analysis on Color Cosmetic NG Pranav Desai Proceedings of International Conference on Interdisciplinary Research in … , 2022 2022
Artificial intelligence in strengthening the operations of ecommerce based business P Desai, K Ganatra 2022 Interdisciplinary Research in Technology and Management (IRTM), 1-7 , 2022 2022 Citations: 11
Artificial Intelligence In Strengthening The Operations Of Ecommerce Based Business. 2022 Interdisciplinary Research in Technology and Management (IRTM), 1–7 P Desai, K Ganatra 2022 Citations: 5
MOST CITED SCHOLAR PUBLICATIONS
Spiritual psychology: A way to effective management P Desai African Journal of Marketing Management , 2009 2009 Citations: 27
Artificial intelligence in strengthening the operations of ecommerce based business P Desai, K Ganatra 2022 Interdisciplinary Research in Technology and Management (IRTM), 1-7 , 2022 2022 Citations: 11
Artificial Intelligence In Strengthening The Operations Of Ecommerce Based Business. 2022 Interdisciplinary Research in Technology and Management (IRTM), 1–7 P Desai, K Ganatra 2022 Citations: 5
A strategic approach to enrich brand through artificial intelligence P Desai Machine Learning for Predictive Analysis: Proceedings of ICTIS 2020, 579-587 , 2020 2020 Citations: 5
Predicting ESG Scores Using Machine Learning for Data-Driven Sustainable Investment S Patel, A Nath, P Desai Analytics 5 (1), 7 , 2026 2026 Citations: 4
Identifying Backfire of Communication on Perceived Hazard Level during Product Recall DNP Pranav Desai International Journal of Retailing and Rural Business Perspective 3 (2), 969-977 , 2014 2014 Citations: 4
Brand Convalescing Strategies after Consumer Product Recall P Desai Advances In Management 4 (7), 6-11 , 2011 2011 Citations: 4
A Multi Sector Investigation of Product Recall Strategies P Desai 2016 Citations: 3
Engaging with stakeholders for developing an effective entrepreneurial ecosystem in universities based in rural setup PD Desai Rural Entrepreneurship and Innovation in the Digital Era, 252-269 , 2021 2021 Citations: 2
The Impact of Entrepreneurship Education on Entrepreneurship Intention among Students of Higher Learning Institutions of Middle Gujarat P Desai Twelfth Biennial Conference on Entrepreneurship (Conference Papers) 1, 157-163 , 2017 2017 Citations: 2
Economics of Traceability for Easing of Food Recall Costs DNP Pranav Desai in International Journal of Advanced Economics and Business Management 1 (1 … , 2011 2011 Citations: 2
A Study on marketing trends, consumer behaviour and competitive analysis on colour cosmetic industry P Desai, N Galyara Interdisciplinary Research in Technology and Management, 48-60 , 2023 2023 Citations: 1
Classroom Beyond Walls: Perspectives of Students and Teachers on Pedagogy and Features of MOOCs PD Vijay Makwana Information Systems for Intelligent Systems - Proceedings of ISBM 2022 324 … , 2023 2023 Citations: 1
The ICT Adoption in AMUL: An Easy, Innovative, Self-Sustainable Approach for Rural Regions PD Desai Rural Entrepreneurship and Innovation in the Digital Era, 143-158 , 2021 2021 Citations: 1
The role of print advertising during product recall crisis P DESAI, N PATEL Innovare Journal of Business Management 2 (1), 6-11 , 2014 2014 Citations: 1
Digital Transformation and Consumer Experience: Investigating the Impact of Technology Adoption on Purchase Behavior in E-Commerce. P Desai, F Thomas, D Upadhayay, S Patel Advances in Consumer Research 3 (4), 425 , 2026 2026
Privacy Preserving AI Models for Ubiquitous Learning Management Systems DSP Dr. Pranav Desai, Dr. Vaibhavi Patel Proceedings of the International Conference on AI-Driven Smart Systems and … , 2026 2026