http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1930 2026-04-01T13:41:33Z http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19570 Title: Optimal replenishment policy of technology items with imperfect quality using product life-cycle dynamics Authors: Chanda, Udayan Abstract: The dynamicity of the technology market and varied consumer tastes make the technology product market highly unpredictable and complex. Besides, due to competition and fast breakthroughs in the technology market, it can be observed that in recent years, the product life cycle has shortened significantly. It created immense pressure on managers to develop inventory policies corresponding to actual market realities. Economics order quantity (EOQ) models are often used to develop inventory policies. However, due to the variable nature of the demand rate function of technology products, the traditional EOQ models may not be useful for developing replenishment policies for technology products. In addition to the consumer adoption process, inventory managers also face the challenge of imperfect quality products while strategizing business policies. Imperfect quality products can come from flawed transport and storage conditions, or they may come due to the faulty production process. Proper inspection or screening of the lot is important for removing the desired level of defective items before delivery to the customers. In this paper, we propose a new EOQ model for technology items with imperfect quality where the demand rate will follow life-cycle dynamics, and sales are treated as a function of product awareness, utility, and consumer affordability. To confirm the validity of the proposed framework, a numerical analysis is performed under different market conditions. 2025-03-01T00:00:00Z http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19569 Title: Macroeconomic resilience to socioeconomic challenges and corporate stability in the automotive industry: impact on dividend policy Authors: Chadha, Saurabh Abstract: The study explains the relationship between macroeconomic and firm-affecting variables with dividend payout policy in the Indian automobile firms. A comprehensive dataset covering 18 Indian automobile manufacturing companies listed on the Bombay Stock Exchange (BSE) Auto Index spanning from March 2015 to March 2024, covering a ten-year period, is being analyzed. The study employs a panel data regression model to investigate the socioeconomic challenges with determinants of dividend payout. The study applies Ordinary Least Squares (OLS) as a baseline model and employs advanced econometric techniques — Two-Stage Least Squares (2SLS) and the Generalized Method of Moments (GMM) — which checks potential endogeneity with improvement in the robustness of the results. In addition to the above methods, Tobin’s Q is applied to check the dividend payout being impacted by firm value. Model validity is ensured through various tests: Wald test (joint significance) and Hansen J-test (instrument validity). To check multicollinearity, autocorrelation, and heteroskedasticity, the following tests are used respectively: Variance Inflation Factor (VIF), Durbin-Watson test, Breusch-Pagan test, and later AR (2) test in GMM to check second-order autocorrelation. Robust standard errors are used to enhance inference reliability. The research findings highlighted the various socioeconomic challenges that affect the profitability, ownership, and macroeconomic stability and how significantly they influence dividend payout, with the GMM model offering the most consistent results. The research findings guide various policymakers, the automobile industry body, climate researchers, the governments, the central banks, auto manufacturers, investors, shareholders, and financial practitioners, helping in appropriate financial decision-making. 2025-07-01T00:00:00Z http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19564 Title: Technological feasibility and circular economy in industry 5.0: a case for the 6R framework Authors: Matai, Rajesh Abstract: The transition to Industry 5.0 necessitates integrating sustainability into industrial practices, emphasizing human-centric and intelligent technologies. This study evaluates the 6R components (Reduce, Reuse, Recycle, Recover, Remanufacturing, Repair) using the TOPSIS method, considering four impacting factors: Technological Feasibility, Economic Viability, Social Implications, and Environmental Impact. Two scenarios were analyzed: equal weights for all factors and a scenario prioritizing Technological Feasibility. Results highlight Reduce as the most critical component across scenarios, while Recover consistently ranks lowest. The findings underscore the alignment of Reduce, Reuse, and Recycle with Industry 5.0 advancements and highlight areas for improving Recover. This study offers actionable insights for policymakers and industry stakeholders to enhance circular economy practices in the Industry 5.0 era. 2025-07-01T00:00:00Z http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/19563 Title: Enhancing green competitiveness: the role of buyer-supplier integration in automotive supply chains Authors: Goyal, Praveen Abstract: The present study aims to expound on a hidden and intrinsic mechanism that forms green competitiveness for firms. This study establishes a link between buyer-supplier integration and green supply chain (SC) practices in relation to green competitiveness. It highlights how green SC practices shape both operational and marketing competitiveness (MKC). 2025-09-01T00:00:00Z