Sourabh Bhattacharya

@hithaldia.ac.in

Associate Professor and Management Department Faculty
Haldia Institute of Technology

Sourabh Bhattacharya


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https://researchid.co/sourabhb

RESEARCH, TEACHING, or OTHER INTERESTS

Marketing, Management of Technology and Innovation, Strategy and Management, General Business, Management and Accounting
6

Scopus Publications

109

Scholar Citations

6

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Ensemble Machine Learning Models Based Comprehensive Analysis of Stock Price Dynamics for Enhanced Prediction Accuracy
    Vijay Uprikar, Meenal R. Kale, Trupti Dandekar Humnekar, Ajay Upadhyay, Bishwajeet Prakash, et al.
    2025 4th Opju International Technology Conference on Smart Computing for Innovation and Advancement in Industry 5 0 Otcon 2025, 2025
    This paper proposes a new scheme of the machine learning approach based on SVM and PSO for improved stock price prediction. First, stock price forecasting is itself a difficult problem because of the stochastic and nonlinear characteristics of the stock price data. The method under consideration is supplementing PSO for determination of the key SVM parameters, namely the kernel function, the penalty factor C, and the margin factor ε to enhance the accuracy and stability of the forecasts. To deal with nonlinearity in data, Radial Basis Function (RBF) Kernel is used in this study. The features of the approach consist in data preprocessing to bring the input features to normality and parameter optimization of the SVM where the PSO optimizes the parameters of the algorithm iteratively. The proposed methodology was tested using the Tata Steel stock price dataset containing 4,143 records for training & testing. The experimental outcome revealed that prediction proficiency has been enhanced which reported a high precision ratio of 98.7% with lesser value of RMSE and MAE. The results have shown that the integration of SVM with PSO is rather effective for financial prediction and opens a venue for the further analysis of stock price fluctuations.
  • AI in Social Media Marketing: Using Machine Learning to Analyze Trends and Predict Consumer Sentiment
    Bhavana Jamalpur, Somanchi Hari Krishna, Romica Bhat, Sneh Binod Prasad, Sourabh Bhattacharya, Dhiraj Kapila
    2025 International Conference on Pervasive Computational Technologies Icpct 2025, 2025
    Social media marketing (SMM) is prominent in the society at present. Individuals use social networking sites to buy different items. The rapid rise of social networking sites has rendered them essential tools for evaluating consumer sentiments and forecasting a wide range of societal and economic patterns. This study gathered statistics from a variety of social media channels. This study examined data to anticipate user activity on social networking sites. This study took into account user statistics from Twitter, LinkedIn, YouTube, Facebook, Instagram, and Pinterest, among other platforms. Because social media networks provide a wide range of statistics at elevated speeds and volumes, predicted big data techniques were applied in this study. This investigation studied user conduct on social networking sites using specific metrics and variables. This study examined user perception and attitudes towards social networking platforms. This study preprocessed data to remove outliers, disturbances, errors, and duplicate records, resulting in high-quality results. As a result, in this paper, an integrated system combining sentiment evaluation and machine learning (ML) methods is constructed. This study utilized computational models and ML to anticipate user conduct on social networking platforms. The framework predicts user conduct on social networking platforms. Eighty percent of data has been employed for training, with twenty percent for testing. After testing many conventional and ensemble ML classifiers, decision trees outscored every other method.
  • Cloud-based fault prediction using IoT in office automation for improvisation of the health of employees
    Nakul Shahdadpuri, Somanchi Hari Krishna, SathiJyothirmaye Reddy, C. Ganesh, Kirti Agarwal, Sourabh Bhattacharya
    2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2023, 2023
    Modern technology is the best thing to be used in every commercial sector. The devices are well equipped to understand the problems of the users. The offices are now been maintained by technology the devices for daily monitoring even the electrical appliances are been monitored and maintained by technology. In previous times the best method of this work is to make it via cloud computing, but now as technology has evolved and evolved new adding devices are making system malfunction. The fault of cloud computing needs to be identified, So the best method is to automate the office with the introduction of IoT. it is a platform equipped with all the facilities for monitoring and maintaining the devices inside the office, even the working capacity of employees is also measured via this method. The study is showing the effectiveness of the IoT to identify the faults of cloud computing related to maintaining the working method of the office. The data collected for this study is secondary data like articles, books, journals and many more. Then gathered data is analyzed by qualitative data analysis. The results are quite positive about the use of it to automate the office and its working procedure.
  • Global branding: A literature review
    International Journal of Scientific and Technology Research, 2020
  • Cyber atmospherics and its impact on E-retailing buyer behavior: A factor analysis
    Sourabh Bhattacharya, Bibhuti Bhusan Mishra
    Prabandhan Indian Journal of Management, 2016
    E-Commerce is booming in India. A number of industries are emphasizing on it to increase their sales. Fuelled by VC money, E-retailing companies are sacrificing profitability to acquire more consumers. Amazon has already emerged as a leader in terms of visitors followed by Flipkart and SnapDeal. E-retailers are creating superb conducive cyber atmospherics to attract more consumers. The present study attempted to assess the impact of cyber atmospherics on buyer behavior in terms of reliance, contentment, and adhesion. A survey on 300 individuals was conducted for this. Factor analysis on the survey generated interesting insights like emphasis of consumers on reasonable prices ; superb online ambience in terms of design, color, font, size; presence of options; and facilities for feedback sharing through social media. Factor analysis also found that importance is given by consumers to contentment in engaging with an electronic retailer in the long term. The results generated have immense managerial implications as a number of new domestic and international entrants are very eager to have complete knowledge of the pulse of Indian consumers.
  • Mystery shopping for consumer contentment, reliance, and adhesion in the retail industry: A descriptive study
    Sourabh Bhattacharya, Bibhuti Bhusan Mishra, Uma Sankar Mishra
    Indian Journal of Marketing, 2015
    Mystery shopping plays a crucial role in ascertaining service standards in the organized retail industry. At the present juncture, when products are same, discount rates are same on the same prices across formats; hence, service standards act as the biggest differentiator for positioning a retail brand. Department stores like Pantaloon, Westside, Saks Fifth Avenue, Zara, HM whereas, the hypermarkets and cashc rather, service standards are playing as the greatest differentiators. Under these circumstances, through independent, impartial mystery researchers, mystery shopping can play as the greatest differentiator. Through extensive literature review, this paper attempted to understand the different nuances of mystery shopping and how its advantages can be exploited to the fullest extent for retail companies.

RECENT SCHOLAR PUBLICATIONS

  • Bayesian Nonparametrics for Gene-Gene and Gene-Environment Interactions in Case-Control Studies: A Synthesis and Extension
    D Bhattacharya, S Bhattacharya
    arXiv preprint arXiv:2602.15387 , 2026
    2026
  • MPL-HMC: A Tunable Parameterized Leapfrog Framework for Robust Hamiltonian Monte Carlo
    S Bhattacharya
    arXiv preprint arXiv:2602.14061 , 2026
    2026
  • AI in Social Media Marketing: Using Machine Learning to Analyze Trends and Predict Consumer Sentiment
    B Jamalpur, SH Krishna, R Bhat, SB Prasad, S Bhattacharya, D Kapila
    2025 International Conference on Pervasive Computational Technologies (ICPCT … , 2025
    2025
    Citations: 1
  • An Analysis of the Impact of a Marketing Communication Management Method on the Purchase Behavior of Durable Consumer Goods using Machine Learning.
    A Mathur, F Yasmin, S Bhattacharya, AB More
    Library of Progress-Library Science, Information Technology & Computer 44 (3) , 2024
    2024
    Citations: 22
  • Role of AI in decision making and its socio-psycho impact on jobs, project management and business of employees
    I Muda, MS Almahairah, R Jaiswal, UK Kanike, MW Arshad, ...
    Journal for ReAttach Therapy and Developmental Diversities 6 (5s), 517-523 , 2023
    2023
    Citations: 24
  • Cloud-based fault prediction using IoT in office automation for improvisation of the health of employees
    N Shahdadpuri, SH Krishna, SJ Reddy, C Ganesh, K Agarwal, ...
    2023 3rd International Conference on Advance Computing and Innovative … , 2023
    2023
    Citations: 2
  • Dependent Bayesian multiple hypothesis testing
    NK Chandra, S Bhattacharya
    Handbook of Statistics 47, 67-81 , 2022
    2022
  • OTT features, Customer Satisfaction and Customer Loyalty: A Study in West Bengal, India
    S Bhattacharya, S Gangopadhyay, J Majumdar, S Biswas
    NeuroQuantology 20 (11), 6399 , 2022
    2022
  • Neuromarketing: A Systematic Review of Scholarly Articles
    S Bhattacharya, M Roy
    Available at SSRN 3963278 , 2021
    2021
  • Aspects and influence of social media marketing in today’s world: A review of scholarly articles
    S Bhattacharya, A Majumdar
    Available at SSRN 3775421 , 2021
    2021
    Citations: 5
  • High-dimensional Asymptotic Theory of Bayesian Multiple Testing Procedures Under General Dependent Setup and Possible Misspecification
    N Kiran Chandra, S Bhattacharya
    arXiv e-prints, arXiv: 2005.00066 , 2020
    2020
  • Evaluating Manufacturer's Wholesale Price Policy Under Order Postponement With Buyback Option
    S Bhattacharya, SS Bagchi
    International Journal of Strategic Decision Sciences (IJSDS) 10 (2), 49-69 , 2019
    2019
  • Big Data and its Contribution towards Business: A Review
    S Bhattacharya
    International Journal of HIT Transaction on ECCN 5 (1A), 81-84 , 2019
    2019
  • A Novel Bayesian Multiple Testing Approach to Deregulated miRNA Discovery Harnessing Positional Clustering
    N Kiran Chandra, R Singh, S Bhattacharya
    arXiv e-prints, arXiv: 1711.03758 , 2017
    2017
  • Bayesian Meta-Analysis for Cross-Phenotype Genetic Association Study
    A Majumdar, S Bhattacharya, JS Witte
    GENETIC EPIDEMIOLOGY 40 (7), 616-617 , 2016
    2016
  • Cyber atmospherics and its impact on e-retailing buyer behavior: A factor analysis
    S Bhattacharya, BB Mishra
    Prabandhan: Indian Journal of Management, 30-51 , 2016
    2016
    Citations: 6
  • A Theoretical Approach to Bayesian Cryptanalysis
    B Biswas, S Bhattacharya, K Kim
    2016 년 한국정보보호학회 하계학술대회 (CISC-S'16), 425-428 , 2016
    2016
  • Impact of cyber atmospherics on buyers of different e-retailing sites: Literature review and conceptual model proposal
    S Bhattacharya, BB Mishra, US Mishra
    Mediterranean Journal of Social Sciences 6 (6), 260-266 , 2015
    2015
    Citations: 8
  • Mystery Shopping for Consumer Contentment, Reliance, and Adhesion in the Retail Industry: A Descriptive Study
    S Bhattacharya, BB Mishra, US Mishra
    Indian Journal of Marketing, 55-63 , 2015
    2015
  • Reviewer Summary
    T Ackerman, J Adams, S Ahn, C Anderson, A Arthur, A Basu, ...
    Journal of Educational and Behavioral Statistics 40 (6), 671-674 , 2015
    2015

MOST CITED SCHOLAR PUBLICATIONS

  • Evolution, growth and challenges in E-commerce Industry: A case of India
    S Bhattacharya, BB Mishra
    Sumedha Journal of Management 4 (1), 45 , 2015
    2015
    Citations: 30
  • Role of AI in decision making and its socio-psycho impact on jobs, project management and business of employees
    I Muda, MS Almahairah, R Jaiswal, UK Kanike, MW Arshad, ...
    Journal for ReAttach Therapy and Developmental Diversities 6 (5s), 517-523 , 2023
    2023
    Citations: 24
  • An Analysis of the Impact of a Marketing Communication Management Method on the Purchase Behavior of Durable Consumer Goods using Machine Learning.
    A Mathur, F Yasmin, S Bhattacharya, AB More
    Library of Progress-Library Science, Information Technology & Computer 44 (3) , 2024
    2024
    Citations: 22
  • Sourcing decision in a multi-period model under demand and supply uncertainty
    SS Bagchi, S Bhattacharya
    International Journal of Information Systems and Supply Chain Management … , 2014
    2014
    Citations: 11
  • Impact of cyber atmospherics on buyers of different e-retailing sites: Literature review and conceptual model proposal
    S Bhattacharya, BB Mishra, US Mishra
    Mediterranean Journal of Social Sciences 6 (6), 260-266 , 2015
    2015
    Citations: 8
  • Cyber atmospherics and its impact on e-retailing buyer behavior: A factor analysis
    S Bhattacharya, BB Mishra
    Prabandhan: Indian Journal of Management, 30-51 , 2016
    2016
    Citations: 6
  • Aspects and influence of social media marketing in today’s world: A review of scholarly articles
    S Bhattacharya, A Majumdar
    Available at SSRN 3775421 , 2021
    2021
    Citations: 5
  • Cloud-based fault prediction using IoT in office automation for improvisation of the health of employees
    N Shahdadpuri, SH Krishna, SJ Reddy, C Ganesh, K Agarwal, ...
    2023 3rd International Conference on Advance Computing and Innovative … , 2023
    2023
    Citations: 2
  • AI in Social Media Marketing: Using Machine Learning to Analyze Trends and Predict Consumer Sentiment
    B Jamalpur, SH Krishna, R Bhat, SB Prasad, S Bhattacharya, D Kapila
    2025 International Conference on Pervasive Computational Technologies (ICPCT … , 2025
    2025
    Citations: 1
  • Bayesian Nonparametrics for Gene-Gene and Gene-Environment Interactions in Case-Control Studies: A Synthesis and Extension
    D Bhattacharya, S Bhattacharya
    arXiv preprint arXiv:2602.15387 , 2026
    2026
  • MPL-HMC: A Tunable Parameterized Leapfrog Framework for Robust Hamiltonian Monte Carlo
    S Bhattacharya
    arXiv preprint arXiv:2602.14061 , 2026
    2026
  • Dependent Bayesian multiple hypothesis testing
    NK Chandra, S Bhattacharya
    Handbook of Statistics 47, 67-81 , 2022
    2022
  • OTT features, Customer Satisfaction and Customer Loyalty: A Study in West Bengal, India
    S Bhattacharya, S Gangopadhyay, J Majumdar, S Biswas
    NeuroQuantology 20 (11), 6399 , 2022
    2022
  • Neuromarketing: A Systematic Review of Scholarly Articles
    S Bhattacharya, M Roy
    Available at SSRN 3963278 , 2021
    2021
  • High-dimensional Asymptotic Theory of Bayesian Multiple Testing Procedures Under General Dependent Setup and Possible Misspecification
    N Kiran Chandra, S Bhattacharya
    arXiv e-prints, arXiv: 2005.00066 , 2020
    2020
  • Evaluating Manufacturer's Wholesale Price Policy Under Order Postponement With Buyback Option
    S Bhattacharya, SS Bagchi
    International Journal of Strategic Decision Sciences (IJSDS) 10 (2), 49-69 , 2019
    2019
  • Big Data and its Contribution towards Business: A Review
    S Bhattacharya
    International Journal of HIT Transaction on ECCN 5 (1A), 81-84 , 2019
    2019
  • A Novel Bayesian Multiple Testing Approach to Deregulated miRNA Discovery Harnessing Positional Clustering
    N Kiran Chandra, R Singh, S Bhattacharya
    arXiv e-prints, arXiv: 1711.03758 , 2017
    2017
  • Bayesian Meta-Analysis for Cross-Phenotype Genetic Association Study
    A Majumdar, S Bhattacharya, JS Witte
    GENETIC EPIDEMIOLOGY 40 (7), 616-617 , 2016
    2016
  • A Theoretical Approach to Bayesian Cryptanalysis
    B Biswas, S Bhattacharya, K Kim
    2016 년 한국정보보호학회 하계학술대회 (CISC-S'16), 425-428 , 2016
    2016