Browsing by Author "Agarwal, Vaishali"

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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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    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’.