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Susmi Routray

As seen in: Wiley Online Library
Professor Information Technology & Analytics sroutray@imt.edu
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Articles

Unveiling the Influence of Gen‐AI Marketing on Customer Experience Through User‐Generated Content Analysis

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By Santosh Shrivastav, Surajit Bag, Susmi Routray
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data are not publicly available due to privacy or ethical restrictions. References , , and . 2021. “Applications of Generative Adversarial Networks (Gans): An Updated Review.” Archives of Computational Methods in Engineering 28: 525–552. , , and . 2014. “Forecasting With Twitter Data.” ACM Transactions on Intelligent Systems and Technology (TIST) 5, no. 1: 1–24. 2023.
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Generative AI, ESG Sensemaking, and Environmental Performance: an OIPT Perspective

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By Surajit Bag, Gautam Srivastava, Susmi Routray, Andrea Chiarini
| Wiley Online Library Verified
1 Introduction Generative artificial intelligence (GenAI) is emerging as a transformative force in sustainability-aligned operations, particularly within supply chains (Wamba et al. 2024; Wang and Zhang 2025).
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Human‐Centric Generative AI in Circular Supply Chains: Theoretical Insights From Ethics, Dynamic Capabilities, and Resource Conservation

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By Surajit Bag, Muhammad Rahman, Susmi Routray, V. Raja Sreedharan
| Wiley Online Library Verified
In response to growing calls for ethical, sustainable, and digitally enabled supply chains, this study investigates how the responsible deployment of generative AI (GenAI) enhances circular supply chain performance (CSP). Anchored in ethical theory, the dynamic capability view (DCV), and conservation of resources (COR) theory, we develop a multitheoretic framework examining how firms' digital humanism orientation and procurement innovation mindset shape responsible GenAI use.
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