World's Best Scientists 2026 revealed!

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Computer Science

D-Index
43
Citations
7609
World Ranking
7999
National Ranking
92

Overview

Indranil Bose is affiliated with the Indian Institute of Management Calcutta in India and has a significant publication record in fields intersecting Business, Management and Accounting, Computer Science, and Social Sciences. Their research spans various subfields including Artificial Intelligence, Sociology and Political Science, Management Information Systems, Communication, and Marketing.

Their work covers multiple topics such as:

  • Digital Marketing and Social Media
  • Big Data and Business Intelligence
  • Technology Adoption and User Behaviour
  • Knowledge Management and Sharing
  • Sentiment Analysis and Opinion Mining
  • Social Media and Politics
  • Digital Transformation in Industry

Indranil Bose has contributed extensively to research published in the following venues:

  • Decision Support Systems
  • Information Systems Frontiers
  • SSRN Electronic Journal
  • Information & Management
  • International Journal of Information Management

Among recent papers authored or coauthored, notable publications include:

  • "Opinion Paper: 'So what if ChatGPT wrote it?' Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy" (2023), International Journal of Information Management
  • "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research" (2021), Annals of Operations Research
  • "On the platform but will they buy? Predicting customers' purchase behavior using deep learning" (2021), Decision Support Systems
  • "S-commerce: Influence of Facebook likes on purchases and recommendations on a linked e-commerce site" (2020), Decision Support Systems
  • "Securing IoT Devices Using Zero Trust and Blockchain" (2020), Journal of Organizational Computing and Electronic Commerce

Frequent collaborators include:

  • Suparna Dhar
  • Samadrita Bhattacharyya
  • Neha Chaudhuri
  • Xiaoge Zhang
  • Ashish Kumar Jha

Best Publications

  • Detection of financial statement fraud and feature selection using data mining techniques

    P. Ravisankar;V. Ravi;G. Raghava Rao;I. Bose

  • BUSINESS DATA MINING-A MACHINE LEARNING PERSPECTIVE

    Indranil Bose;Radha K. Mahapatra

  • Prediction of financial distress: An empirical study of listed Chinese companies using data mining

    Ruibin Geng;Indranil Bose;Xi Chen

  • Managing a Big Data project: The case of Ramco Cements Limited

    Debprotim Dutta;Debprotim Dutta;Indranil Bose

  • Preprocessing unbalanced data using support vector machine

    M.A.H. Farquad;Indranil Bose

  • Auto-ID: managing anything, anywhere, anytime in the supply chain

    Indranil Bose;Raktim Pal

  • Manipulation in digital word-of-mouth: A reality check for book reviews

    Nan Hu;Indranil Bose;Yunjun Gao;Ling Liu

  • Exploring the role of IT for environmental sustainability in China: An empirical analysis

    Shun Cai;Xi Chen;Indranil Bose

  • Quantitative models for direct marketing: A review from systems perspective

    Indranil Bose;Xi Chen

  • ERP and SCM systems integration: The case of a valve manufacturer in China

    Indranil Bose;Raktim Pal;Alex Ye

  • Securing IoT Devices Using Zero Trust and Blockchain

    Unknown

  • Deciding the financial health of dot-coms using rough sets

    Indranil Bose

  • Assessing the severity of phishing attacks: A hybrid data mining approach

    Xi Chen;Indranil Bose;Alvin Chung Man Leung;Chenhui Guo

  • Hybrid models using unsupervised clustering for prediction of customer churn

    Indranil Bose;Xi Chen

  • Failure prediction of dotcom companies using hybrid intelligent techniques

    D. Karthik Chandra;V. Ravi;I. Bose

  • What is wrong with the World-Wide Web?: a diagnosis of some problems and prescription of some remedies

    Nancy J. Lightner;Indranil Bose;Gavriel Salvendy

  • Failure prediction of dotcom companies using neural network-genetic programming hybrids

    P. Ravisankar;V. Ravi;I. Bose

  • Soft computing based imputation and hybrid data and text mining: The case of predicting the severity of phishing alerts

    Kancherla Jonah Nishanth;Vadlamani Ravi;Narravula Ankaiah;Indranil Bose

  • Managing RFID projects in organizations

    Indranil Bose;Eric W T Ngai;Thompson S H Teo;Sarah Spiekermann

  • Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach

    Indranil Bose;Raktim Pal

  • The Green Potential of RFID Projects: A Case-Based Analysis

    Indranil Bose;Shipeng Yan

  • Temporal Effects of Repeated Recognition and Lack of Recognition on Online Community Contributions

    Samadrita Bhattacharyya;Shankhadeep Banerjee;Indranil Bose;Atreyi Kankanhalli

  • Lessons Learned from Distributed Agile Software Projects: A Case-Based Analysis

    Indranil Bose

  • Do phishing alerts impact global corporations? A firm value analysis

    Indranil Bose;Alvin Chung Man Leung

Frequent Co-Authors

Vadlamani Ravi
Vadlamani Ravi Institute for Development and Research in Banking Technology
Eric W.T. Ngai
Eric W.T. Ngai Hong Kong Polytechnic University
Xin-She Yang
Xin-She Yang Middlesex University
Constantin Zopounidis
Constantin Zopounidis Technical University of Crete
Diganta Bhusan Das
Diganta Bhusan Das Loughborough University
Evor L. Hines
Evor L. Hines University of Warwick
Gavriel Salvendy
Gavriel Salvendy University of Central Florida
Chih-Min Lin
Chih-Min Lin Yuan Ze University
Dongsheng Wen
Dongsheng Wen Technical University of Munich
Alexander M. Korsunsky
Alexander M. Korsunsky University of Oxford

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