BITS Faculty Publications

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    Modelling unpaved sandy roads on Fraser Island
    (ARRB Transport Research, 2003) Goonetilleke, Ashantha
    This paper briefly reports on the research investigation of sediment transport and overland flow erosion from sandy unpaved roads on Fraser Island. Most of the sediment is transported by bed load because the particles are too coarse to be transported by suspended load. Vehicle traffic, especially 4 WD is considered to be responsible for accelerated erosion. Modelling sediment transport from Fraser Island sandy roads using two generic models: WEPP and KINEROS2 program were carried out. The study reflects that modelling focused on the main factor controlling sediment transport from Fraser Island sandy roads, namely the sediment transport capacity of rill flow can be a very significant tools for natural resource management as well as environmental conservation. Sediment transport capacity of rill flow was tested in the field and collected data were used to calibrate WEPP and KINEROS2. Verification showed that WEPP and KINEROS2 could be used to predict sediment transport capacity on Fraser Island roads.
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    Adoption of Ecohydrology Approaches for Urban Stormwater Management and Advancing the Circular Economy Concept
    (CRC Press, 2024) Goonetilleke, Ashantha
    Sustainable stormwater management is important to mitigate stormwater pollution as well as reuse stormwater resources. This chapter initially discusses the current environmental issues caused by stormwater pollution and the key challenges inherent in urban stormwater management. In response, ecohydrology proposes an innovative approach for urban stormwater management which can reduce urban flood risk, mitigate water pollution, protect habitats and biodiversity, and improve the aesthetics of the urban environment. Ecohydrology can be a key enabler for cities to achieve a circular economy as it can contribute to shifting from the linear to the circular management of stormwater resources in cities for realizing urban sustainability. To enable a circular economy, ecohydrology can be applied for sustainable stormwater management through restoring and maintaining the stormwater cycle, stormwater treatment and reuse, and nutrient recovery and reuse. Several recommendations are provided based on the current knowledge gaps in relation to the application of ecohydrology for urban stormwater management from a circular economy viewpoint.
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    Optimal replenishment policy of technology items with imperfect quality using product life-cycle dynamics
    (Taylor & Francis, 2025-03) Chanda, Udayan
    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.
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    Macroeconomic resilience to socioeconomic challenges and corporate stability in the automotive industry: impact on dividend policy
    (Academic Research and Publishing, 2025-07) Chadha, Saurabh
    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.
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    Technological feasibility and circular economy in industry 5.0: a case for the 6R framework
    (IEEE, 2025-07) Matai, Rajesh
    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.
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    Enhancing green competitiveness: the role of buyer-supplier integration in automotive supply chains
    (Emerald, 2025-09) Goyal, Praveen
    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).
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    A tale of stores and screens: Unveiling consumer behaviour in omnichannel retailing through the lens of behavioural reasoning
    (Elsevier, 2025-04) Dutta, Nirankush
    This research examines the mechanisms that foster or deter consumers’ adoption of digital storefronts that traditional brick-and-mortar retailers integrate for omnichannel operations in emerging markets, through the lens of Behavioural Reasoning Theory. Using a mixed-methods approach, the study first identifies specific reasons for and against shopping on the digital platforms of brick-and-mortar retailers through qualitative interviews with retail experts. These findings are then tested quantitatively with a survey of 1392 Indian omnichannel consumers, analysed using partial least squares structural equation modelling and importance-performance matrix analysis. The results reveal that perceived product quality and shopping flexibility are the main drivers for adoption, while the attractiveness of alternatives and concerns over delivery timeliness are key deterrents. Additionally, the analysis considers the influence of perceived compatibility and the moderating effect of product type, with electronics and clothing as representative of search and experience goods, respectively. The analysis finds that perceived compatibility exerts a moderate to low effect on consumers’ reasoning and their attitudes, and that deterrents have a stronger negative impact for experience goods in shaping consumers’ attitude towards adopting the digital storefronts of brick-and-mortar retailers. The findings advance Behavioural Reasoning Theory in retail contexts, providing actionable insights for brick-and-mortar retailers to enhance their omnichannel strategies by addressing consumer-specific motivations and barriers.
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    Generational dynamics of omnichannel customers: analysing shopping preferences across diverse product types
    (Emerald, 2025-01) Dutta, Nirankush
    This study explores the shopping orientations of omnichannel customers through the lens of generational cohort theory, which influences their decision-making style while shopping online. It offers key insights into how Generations X, Y and Z interact with digital platforms, helping retailers adapt to the shifting dynamics of modern customers.
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    Sounding the silence: examining the antecedents and outcomes of quiet quitting
    (Emerald, 2025-03) Naim, Mohammad Faraz
    This paper aims to explore the antecedents and consequences of quiet quitting behaviour among employees. It presents an integrative framework that identifies specific factors influencing quiet quitting and examines its impact on turnover intentions and employee performance.
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    Flourishing-at-work: a framework to nurture employee well-being in the digital age
    (Springer, 2025-06) Naim, Mohammad Faraz
    Amid technological advancements in digital age, employee well-being is often overlooked and results in hindering organisational growth. Thus, the primary objective of this chapter is to address the holistic well-being of employees in this technology-driven era. Grounded in theoretical frameworks such as social information processing theory, conservation of resource theory, and self-determination theory, this study develops an integrative framework encompassing organisational agility, psychological empowerment, employee work passion, and flourishing-at-work. The framework suggests that agile organisations not only boost organisational efficiency but also psychologically empower employees. This empowerment fosters employees’ work passion, translating into a holistic state of well-being. This enhanced state extends beyond job satisfaction, contributing to emotional, psychological, and social well-being (termed as ‘flourishing-at-work’). This study contributes to the literature by providing a strategic approach to navigating the challenges presented by digital age in employee well-being at the workplace.