Abstract:The population of the world is increasing, and product demand is increasing, making a linear economy ineffective, and therefore, this situation makes the circular economy (CE) a requirement. Economic, social, and environmental factors all play a role in the CE. Also, logistics activities are critical parts of the CE. Hence, this study's goal is to create a framework for evaluating organizations' CE logistics performance. The main contribution of the study is the creation of a framework to assess the circularit… Show more
“…Contemporary firms worldwide have embraced the philosophy of ‘ integration rather than interfacing of business functions ’ (Berberoglu et al, 2023; Bhattacharya & Mohanty, 2012). Indian firms are yet to be at that pace.…”
Section: Discussionmentioning
confidence: 99%
“…We identify ‘packaging’, ‘transportation’ and ‘warehousing’ are three main distinctive variables (with extensive literature support) that collectively contribute to the measurement of logistics operations (Hurley et al, 2013; Mc Kinnon, 2018; Perotti, Bastidas Santacruz, et al, 2022). Similarly, ‘technology, ‘environmental’ and ‘reverse logistics’ are identified variables contributing to measuring green practices (Berberoglu et al, 2023; Frehe & Teuteberg, 2017; McKinnon, 2016; Pushpamali et al, 2021). For the impact of SCS, the specified variables are ‘economic’, ‘social’ and ‘environmental’ (Purvis et al, 2019).…”
This study aims to understand the impact of green logistics operations on the sustainability of supply chains. It is an experimental, numerical analysis carried out in an Indian industrial setting to derive some empirical truths, which have profound implications for the community of professional practice and academic and policy research towards inclusiveness in ecological governance. The analysis is centred on a conceptual model based on causal interdependencies. This model conceives stakeholders' demands from the outside in the form of numerous environmental, economic and social externalities triggering pressures for integrating innovative sustainable responses in logistics operations in the supply chain to eventuate desirable state transformation of the society, environment and economy. The model, as proposed, is validated through primary data collected through a structured questionnaire survey from Indian logistics service providers (LSPs) and analysed through structural equation modelling (SEM) with coding in the R engine platform. The empirical result shows that sustainable performance is influenced less by green practices than logistics operations, and the direct impact of logistics operations is much less on green practices than on supply chain sustainability. This study attempts to study contemporary sustainability practices. It transcends to contribute towards regenerative inclusive human welfare, adding the scope of activity from merely environmental management to sustainability in ecological governance.
“…Contemporary firms worldwide have embraced the philosophy of ‘ integration rather than interfacing of business functions ’ (Berberoglu et al, 2023; Bhattacharya & Mohanty, 2012). Indian firms are yet to be at that pace.…”
Section: Discussionmentioning
confidence: 99%
“…We identify ‘packaging’, ‘transportation’ and ‘warehousing’ are three main distinctive variables (with extensive literature support) that collectively contribute to the measurement of logistics operations (Hurley et al, 2013; Mc Kinnon, 2018; Perotti, Bastidas Santacruz, et al, 2022). Similarly, ‘technology, ‘environmental’ and ‘reverse logistics’ are identified variables contributing to measuring green practices (Berberoglu et al, 2023; Frehe & Teuteberg, 2017; McKinnon, 2016; Pushpamali et al, 2021). For the impact of SCS, the specified variables are ‘economic’, ‘social’ and ‘environmental’ (Purvis et al, 2019).…”
This study aims to understand the impact of green logistics operations on the sustainability of supply chains. It is an experimental, numerical analysis carried out in an Indian industrial setting to derive some empirical truths, which have profound implications for the community of professional practice and academic and policy research towards inclusiveness in ecological governance. The analysis is centred on a conceptual model based on causal interdependencies. This model conceives stakeholders' demands from the outside in the form of numerous environmental, economic and social externalities triggering pressures for integrating innovative sustainable responses in logistics operations in the supply chain to eventuate desirable state transformation of the society, environment and economy. The model, as proposed, is validated through primary data collected through a structured questionnaire survey from Indian logistics service providers (LSPs) and analysed through structural equation modelling (SEM) with coding in the R engine platform. The empirical result shows that sustainable performance is influenced less by green practices than logistics operations, and the direct impact of logistics operations is much less on green practices than on supply chain sustainability. This study attempts to study contemporary sustainability practices. It transcends to contribute towards regenerative inclusive human welfare, adding the scope of activity from merely environmental management to sustainability in ecological governance.
“…MCDM methodologies have been devised to address a wide spectrum of decisionmaking challenges [122]. These techniques find applicability across multiple sectors, including but not limited to engineering, logistics, supply chain management, production, healthcare, and sustainable development [123]. Numerous studies have attested to the effi-cacy of MCDM methods in effectively resolving complex multi-criteria problems [124,125].…”
The increasing urbanization and growth of cities worldwide have led to a significant increase in energy demand. As a transition to a low carbon environment occurs, the role of renewable and sustainable energy systems in urban areas is benefiting industry and the environment alike. From this perspective, the Sustainable Development Goals (SDGs) have a lot to offer to the energy industry, particularly the integration of renewable and sustainable energy systems for environmental protection in cities. This study presents a comprehensive view that integrates technological, economic, political, and social challenges confronted with the effective implementation of renewable and sustainable energy in urban cities and proposes a solution agenda to overcome these hurdles with the aid of the SDGs. The weights for the challenges of adopting renewable and sustainable energy systems were determined using the Fuzzy Best-Worst Method. The SDGs were then ranked using the fuzzy TOPSIS technique to overcome predetermined challenges. The originality of this study lies in finding solutions to the determined challenges by adopting SDGs, emphasizing the need for integrated solutions that address energy-related concerns, and highlighting the role and importance of SDGs in environmental protection. The study highlights the importance of SDGs in promoting renewable energy integration in urban areas, with SDG 11 being the most crucial to mitigate harmful environmental occurrences related to energy-related issues in urban areas, followed by SDG 7 and SDG 13.
“…According to experts, MCDM is a useful tool for analyzing complex problems with multiple criteria. MCDM essentially involves selecting the best option from a set of available options (Berberoglu et al ., 2023). This selection procedure makes use of a set of attributes or criteria for assessing and contrasting options.…”
PurposeThe primary objective of this research is to determine critical success factors (CSFs) that enable textile enterprises to effectively implement Kaizen, a Japanese concept of continuous development, particularly during disruptive situations. The study aims to provide insights into how Kaizen is specifically employed within the textile sector and to offer guidance for addressing future crises.Design/methodology/approachThis study employs a structured approach to determine CSFs for successful Kaizen implementation in the textile industry. The Triple Helix Actors structure, comprising business, academia and government representatives, is utilized to uncover essential insights. Additionally, the Matriced Impacts Croises-Multiplication Applique and Classement (MICMAC) analysis and interpretative structural modeling (ISM) techniques are applied to evaluate the influence of CSFs.FindingsThe research identifies 17 CSFs for successful Kaizen implementation in the textile industry through a comprehensive literature review and expert input. These factors are organized into a hierarchical structure with 5 distinct levels. Additionally, the application of the MICMAC analysis reveals three clusters of CSFs: linkage, dependent and independent, highlighting their interdependencies and impact.Originality/valueMajor contribution of this study is understanding how Kaizen can be effectively utilized in the textile industry, especially during disruptive events. The combination of the Triple Helix Actors structure, MICMAC analysis and ISM provides a unique perspective on the essential factors driving successful Kaizen implementation. The identification of CSFs and their categorization into clusters offer valuable insights for practitioners, policymakers and academia seeking to enhance the resilience and sustainability of the textile industry.
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