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Brijesh Sivathanu on Muck Rack

Brijesh Sivathanu

As seen in: Taylor & Francis Online, Technovation, Emerald Publishing, International Journal of Productivity and Performance Management, emerald insight, International Journal of Contemporary Hospitality Management, International Journal of Retail and Distribution Management, Foresight : The Journal of Futures Studies, Strategic Thinking and Policy, International Journal of Educational Management, IAEME Publications
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Articles

Reimagining Automotive Manufacturing with Generative AI: A Technolology-Organization-Environment Perspective

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By Brijesh Sivathanu, Rajasshrie Pillai, Nripendra Rana
| Taylor & Francis Online
ABSTRACT Generative AI (Gen-AI) is transforming industries, and the automotive sector is no exception. Auto Component Manufacturing (AutoCM) organizations face strong pressure to adopt Gen-AI for competitiveness, yet little research has examined adoption factors in this context. This study investigates the determinants of Gen-AI adoption in AutoCM firms using the Technology-Organization-Environment framework.
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Assessing the Determinants of Metaverse Adoption for E-Commerce Retailing

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By Rajasshrie Pillai, Brijesh Sivathanu, Nripendra Rana, Ilse Struweg
| Taylor & Francis Online
ABSTRACT The advent of metaverse technology has impacted the retail sector, shaping e-commerce platforms into a new form of metaverse-based online shopping environments. The metaverse e-commerce experience is new to shoppers, making it crucial to comprehend consumer reactions to this technology in the context of retail. This study explores the shopping intention and potential use of the metaverse for shopping using the UTAUT2 model and metaverse-based context-specific antecedents.
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Measure what matters: descriptive and predictive metrics of HRM-pathway toward organizational performance

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By Rajasshrie Pillai, Brijesh Sivathanu
| Emerald Publishing
Abstract Purpose To understand human resource (HR) practices outcomes on HR decision making, strategic human resource management (HRM) and organizational performance by exploring the HR data quality along with descriptive and predictive financial and non-financial metrics. Design/methodology/approach This work utilizes the grounded theory method.
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