Browsing by Author "Virmani, Naveen"

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    Artificial Intelligence applications for responsive healthcare supply chains: a decision-making framework
    (IEEE, 2024-03-18) Virmani, Naveen; Singh, Rajesh Kumar; Agarwal, Vaishali; Aktas, Emel
    Post-COVID-19, the healthcare sector is extensively digitalizing operations by applying emerging technologies such as Artificial Intelligence (AI). It is evident from previous research that the adoption of AI in the healthcare supply chain results in unmatched benefits. Therefore, the present study identifies the enablers for adopting AI in healthcare supply chains and validates them using the Fuzzy-Delphi technique. Furthermore, enablers are prioritized, and the dyadic connections between them are investigated using the fuzzy-DEMATEL approach. In the last phase, the Graph Theory Matrix Approach was applied to assess the readiness of a case organization to adopt AI across various healthcare functions. The sensitivity analysis confirms the reliability of the results. Competitive and mimetic pressures, together with government policies and support, were the most influencing enablers. Furthermore, Scalability and Traceability of information flow across the healthcare supply chain are found to be the most influenced factor by other enablers.
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    Driving operational excellence: the role of technology-organization-environment framework in Lean Six Sigma Integrated Industry 4.0 adoption
    (Taylor and Francis, 2025-12-31) Virmani, Naveen; Mahajan, Anupama; Jagtap, Sandeep; Mahajan, Raveesha
    Adopting technological innovations is crucial for organizations to survive in dynamic and competitive market scenarios. Moreover, it is essential to understand the customer needs and respond accordingly. The present research makes use of Technology-Organization-Environment (TOE) framework for Lean Six Sigma Integrated Industry 4.0 (LSSI) adoption. Scholarly literature shows that adopting LSSI drastically reduces waste and variations while facilitating real-time data analysis. However, empirical studies on LSSI adoption are limited and therefore, this study was conducted, with data collected from 287 respondents employed in various industries. Structural Equation Modeling (SEM) was used to analyze research model, and the results indicate that TOE dimensions significantly impact LSSI adoption, which in turn influences operational performance. Furthermore, strategic alignment toward sustainability initiatives partially mediates the relationship between LSSI and operational performance, and these results are highly useful for practitioners, managers, and researchers aiming to adopt LSSI.
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    Navigating the landscape through digital human resource management: an initiative to achieve sustainable practices
    (Elsevier, 2025-06) Virmani, Naveen; Sharma, Shikha; Kumar, Pranav; Luthra, Sunil; Jain, Vranda; Jagtap, Sandeep
    The adoption of Digital Human Resource Management (DHRM) is increasing exponentially in the present market landscape; organizations are curious to digitalize human resource practices and enhance organizational performance. The purpose of the presented research is to assess various factors impacting DHRM adoption. The presented study is grounded in social exchange theory and dynamic capability theory. The survey instrument was developed using a literature review. Data from 269 respondents was collected, and Structural Equation Modeling was used to analyze the data. The research investigated the role of DHRM in achieving organizational performance. Furthermore, the role of sustainable Human Resource Practices (SHRP) is examined as a mediating variable. Also, the impact of Employee Engagement is analyzed on organizational performance. Moreover, the role of Management Support is analyzed to assess the relationship between DHRM, SHRP, and Employee Engagement (EENG). The result indicates that external environmental factors significantly impact DHRM practices. Also, SHRP partially mediates the association between DHRM and EENG. DHRM enables professionals to analyze real-time data, allowing managers to make informed decisions. In today's globalized scenario, the emergence of DHRM concept helps to automate and streamline Human Resource (HR) tasks, including performance management, recruitment, training, and appraisal, which eventually help to attain a sustainable competitive advantage. As found in existing literature, the DHRM domain is novel, and more empirical studies must investigate crucial aspects affecting DHRM adoption. Therefore, this study focuses on bridging the identified gaps.
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    What drives Generation Z to choose green apparel? Unraveling the impact of environmental knowledge, altruism and perceived innovativeness
    (Taylor and Francis, 2025-01-01) Vishnoi, Sushant Kumar; Mathur, Smriti; Agarwal, Vaishali; Virmani, Naveen; Jagtap, Sandeep
    This study proposes to determine the influence of ‘Environmental Knowledge’ (EK), ‘Altruism’ (Atr), ‘Consumer Confidence’ (CC) and constructs of ‘Theory of Planned Behaviour’ (TPB) like Attitude” (Atd), ‘Subjective Norm’ (Sub) and ‘Perceived behavioural control’ (Pbhc) on consumers’ intention to purchase ‘Green Apparel Products’ (GAPI). Moreover, the moderating effect of ‘Perceived Innovativeness’ (PInn) on the relationship between ‘Attitude’ (Atd), ‘Subjective Norm’ (Sub), ‘Perceived behavioural control’ (Pbhc), ‘EK’, ‘Atr’ and ‘CC’ was studied. To test the research model and hypothesis, a survey of 349 Generation Z consumers (18–26 years) was conducted. Cronbach’s alpha and a ‘Confirmatory Factor Analysis’ (CFA) were used to determine the scale’s reliability and validity. ‘Structural Equation Modelling’ (SEM) validated the given model and hypotheses. In this research, six hypotheses were tested, and it was found that three hypotheses showed a direct relationship. Specifically, the result of SEM showed that ‘Atd’, ‘Sub’ and ‘CC’ were positively related to GAPI. Also, six hypotheses were formulated testing the moderating role of ‘PInn’. The results established that ‘PInn’ moderated the relationship between ‘Atd’, ‘Sub’, ‘CC’ and ‘GAPI’ significantly. This research provides a novel framework to explore the relationship between the ‘EK’, ‘Atr’ and ‘CC’ and Generation Z consumer’s ‘GAPI’.