Browsing by Autor "C. Joe Arun"

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Adoption of Circular Economy Principles: An Empirical Study of Green Strategies in Manufacturing Organizations
(2025) Kishore Kunal; C. Joe Arun; V. Selvakumar; Santhi Venkatakrishnan; Smriti Anand; Vairavel Madeshwaren
This study investigates the adoption of circular economy (CE) principles within the manufacturing sector, emphasizing the interconnected roles of green operational practices, stakeholder communication, corporate green image, and customer-driven sustainability demands. Circular economy frameworks advocate for closed-loop systems where materials are reused, waste is minimized, and product life cycles are extended to achieve environmental and economic sustainability. As global awareness of ecological challenges intensifies, consumers and regulatory bodies are increasingly expecting companies to demonstrate genuine commitments to sustainable operations. The research collected primary data from employees across three manufacturing firms actively engaging in environmental initiatives. Analytical tools such as SPSS and Smart PLS-SEM were employed to examine the relationships among the key variables. The results show a significant positive relationship between the adoption of CE principles more broadly and the successful communication of green practice implementation. CE adoption was further strengthened by upholding a visible green image. It's interesting to note that although they were significant, customer preferences had little influence on these strategic decisions. The significance of manufacturers institutionalizing sustainability through internal procedures and open stakeholder engagement is highlighted by these insights. To improve long-term environmental performance and shift towards a circular economy model, the study offers useful implications for industries.
An Enquiry into the Purchase Intention of AI – based Virtual Personal Voice Assistants in India
(European Organization for Nuclear Research, 2021) R. Renu Isidore; C. Joe Arun
This paper attempts to analyze the Indian consumers’ intention to purchase AI – based virtual personal assistants (VPAs). The various AI beliefs of the Indian consumers were initially captured using forty-four statements via the questionnaire survey method using snowball and convenience sampling techniques. Principal Component factor analysis followed by Varimax rotation was adopted to reduce these statements into nine factors namely: Trust in AI, Knowledge about AI, Personalization Preference, Current usage of AI, Awareness of AI, Positive outlook on Current AI Performance, Future Dangers of AI, Negative outlook on Current AI Performance and Desired Applications of AI. The survey which was conducted across India resulted in a sample size of 637 respondents who did not own a VPA and had either an intention/no intention to purchase a VPA. By employing Independent sample t-tests, the purchase intention was analyzed with respect to the nine reduced factors and the tests were repeated for various demographic profiles like gender, age, annual income and AI knowledge level for a better understanding. The results show that different factors significantly influence the purchase intention for different profiles. A complete understanding of the purchase intention of VPAs with respect to the various dimensions of the consumers’ AI beliefs and various demographic profiles is important for both businesses selling VPAs and also for the retail industry as voice shopping via VPAs is the future of e-commerce.
Working from home during COVID-19 and its impact on Indian employees’ stress and creativity
(Palgrave Macmillan, 2022) Akanksha Jaiswal; C. Joe Arun