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Abhishek Srivastava

Information Systems

Associate Professor

abhishek[at]iimv[dot]ac[dot]in

About

  • Current Position: [Associate Professor], [Information Systems], [IIM Visakhapatnam]  

  • Highest Qualification: [PhD], [Management], [IIM Ranchi], [2019] 

  • Total Experience: [14years] (Academia: [6 | Industry/Other: [8]) 

  • Research Interests: [Recommender Systems, AI & Auditing, Human Computer Interaction] 

  • Teaching Areas:– AI/ML , Emerging Technologies, 

  • Academic Profile: Diverse professional experience (industry & academics) with the successful delivery of multiple industry projects and training assignment in the area of AI and IT consulting, software product development, policymaking, vendor management, start-up community creation, mentoring, fundraising, international collaborations, academic and industrial research. Teaching.  

Teaching

 

PGP/MBA (Graduate) 

  • Emerging Technologies for Managers, Elective, MBA, Executive MBA  

  • Business Intelligence, Social Media and Cognitive Analytics, Elective, MBA, Executive MBA  

  • Ecommerce, Elective, MBA 

  • Business Analytics, Core, MBA 

  • Spreadsheet Modelling, Core, MBA 

  • IT Tools for Managers, Core, Executive MBA  

  • Advanced Data Science and Machine Learning, Elective, MBA 

  • Business Modelling, Core, Executive MBA  

  • Cognitive Computing and Neuro Management, Elective, MBA 

  • People Analytics, Elective, MBA, 

  • MLOPs for Managers, Elective, MBA, 

PhD/Doctoral 

  • Human Computer Interaction 

  • Information Systems Research Foundations 

  • Theories in Information Systems 

Executive Education / MDP / FDP 

  • Sessions on AI/ML/ Analytics / Emerging Technologies/ Digital Transformation  

Research & Publications

Journal Articles 

  • Gupta, P., Singh, J., Sachan, A., & Srivastava, A. (2026). Customer journey and experience in multi-stage e-retail delivery system (e-RDS): a process–perception perspective. Journal of Global Operations and Strategic Sourcing, 1-21. (ABDC C ) 

  • Gambhir, B., Srivastava, A., & Gupta, N. (2025). AI in audit and accounting: A qualitative exploration. Asian Journal of Accounting and Governance, 24, 71–83. (ABDC C ) 

  • Gundersen, B., Kalloori, S., & Srivastava, A. (2025). Emotion aware session based news recommender systems. Decision Support Systems, 114540. (ABDC A *) 

  • Kalloori, S., & Srivastava, A. (2024). Towards cross-silo federated learning for corporate organizations. Knowledge-Based Systems, 289, 111501. (ABDC A) 

  • Srivastava, A., Ray, A., Ray, A., Bala, P. K., Dasgupta, S. A., & Dwivedi, Y. K. (2023). 'Does Emotional Intelligence Impact Technology Adoption?': A study on Adoption of Augmented Reality. Asia pacific journal of information systems, 33(3), 624-651. . (ABDC C ) 

  • Srivastava, A., Dasgupta, S. A., Ray, A., Bala, P. K., & Chakraborty, S. (2021). Relationships between the “Big Five” personality types and consumer attitudes in Indian students toward augmented reality advertising. Aslib Journal of Information Management. (ABDC B)  

  • Srivastava, A., Bala, P. K., & Kumar, B. (2020). New perspectives on gray sheep behavior in E-commerce recommendations. Journal of Retailing and Consumer Services, 53. (ABDC A)  

  • Ray, A., Bala, P. K., Dasgupta, S. A., & Srivastava, A. (2020). Understanding the factors influencing career choices in India: from the students' perspectives. International Journal of Indian Culture and Business Management, 20(2), 175-193. (ABS) 

  • Srivastava, A., Bala, P. K., & Kumar, B. (2017). Transfer learning for resolving sparsity problem in recommender systems: human values approach. JISTEM-Journal of Information Systems and Technology Management, 14(3), 323-337.(ABDC C)  

  •  Kumar, B., Bala, P. K., & Srivastava, A. (2016). Cosine based latent factor model for precision oriented recommendation. International Journal of Advanced Computer Science and Applications, 7(1), 451-457. (Scopus) 

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Conference Papers (Peer-reviewed) 

  • Dabrowski, J., Janicka, M., Sienkiewicz, L., Stomfai, G., Jannach, D., Barile, F., ... & Srivastava, A. (2025, September). RecSys Challenge 2025: Universal Behavioral Profiles for Recommender Systems. In Proceedings of the Nineteenth ACM Conference on Recommender Systems (pp. 1389-1393). Prague, Czech Republic 

  • Dąbrowski, J., Janicka, M., Sienkiewicz, Ł., Stomfai, G., Dietmar, J., Barile, F., ... & Srivastava, A. (2025). The SYNERISE dataset: An E-Commerce Dataset for Sequential Recommendation, Universal Behavior Modeling and Deep Relational Learning. In Proceedings of the Recommender Systems Challenge 2025 (pp. 1-6). Prague, Czech Republic 

  • Kruse, J., Lindskow, K., Kalloori, S., Polignano, M., Pomo, C., Srivastava, A., ... & Frellsen, J. (2024, October). RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations. In Proceedings of the 18th ACM Conference on Recommender Systems (pp. 1195-1199). Bari, Italy  

  • Kruse, J., Lindskow, K., Kalloori, S., Polignano, M., Pomo, C., Srivastava, A., ... & Frellsen, J. (2024). EB-NeRD a large-scale dataset for news recommendation. In Proceedings of the Recommender Systems Challenge 2024 (pp. 1-11). ). Bari, Italy  

  • Agrawal, R., Brahme, S., Maitra, S., Kalloori, S., Srivastava, A., Liu, Y., & Irissappane, A. (2023, September). RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy. In Proceedings of the 17th ACM Conference on Recommender Systems (pp. 1217-1220). Singapore  

  • Agrawal, R., Brahme, S., Maitra, S., Srivastava, A., Irissappane, A., Liu, Y., & Kalloori, S. (2023). RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising. In Proceedings of the Recommender Systems Challenge 2023 (pp. 1-3). Singapore 

  • Landia, N., Cheung, F., North, D., Kalloori, S., Srivastava, A., & Ferwerda, B. (2022, September). Recsys challenge 2022: Fashion purchase prediction. In Proceedings of the 16th ACM Conference on Recommender Systems (pp. 694-697), Seattle, USA  

  • Landia, N., Mcalister, R., North, D., Kalloori, S., Srivastava, A., & Ferwerda, B. (2022). Recsys challenge 2022 dataset: Dressipi 1m fashion sessions. In Proceedings of the recommender systems challenge 2022 (pp. 1-3). Seattle, USA  

Training & Consulting

Executive Education / MDPs / FDPs 

  • Executive Certificate Program in Machine Learning & Artificial Intelligence  (Program Director) 

  • Digital Transformation Strategy Leadership (Program Co Director) 

  • Executive Certificate Program in Advanced Project Management (Program Co Director) 

 

Consultancy / Sponsored Projects 

  • A study on perception of different stakeholders on 3D Concrete Printing manufactured housing units , sponsored by National Housing Bank , 2023,

Services

Institutional Administrative Roles 

  • EMBA Chair, IIM Visakhapatnam, 

  • Area Chair, Information Systems, IIM Visakhapatnam, 

  • Chairperson IT Services, IIM Jammu   

  • Chairperson, Centre for Entrepreneurship & Innovation, Jammu Centre, IIM Jammu  

Committees / Academic Governance 

  • CDS Committee, IIM Visakhapatnam 

  • PGP Committee, IIM Visakhapatnam 

Academic Service (External) 

  • Reviewer: Computers in Human Behavior , Information Systems Frontier, APJIS   

  • Secretary, Association of INformatun Systems , India Chapter (INAIS)  

Award And Recognition

  • 1’st prize Certificate in National level Business Consulting event at IIT Kharagpur. 

  • Among Top 3 Finalist in National level Business Analytics contest at IIT Madras. 

  • Patent - A System And Method For Contact Reminder In Real Time Using Artificial Intelligence Based Facial Recognition 

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