Determinants of the transition towards circular economy in SMEs: a sustainable supply chain management perspective
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Cited by 3 publications
References 114 publications
Sustainability in small and medium enterprises: A circular economy approach using cloud computing
Sustainable production and consumption are the need of the hour. Adopting the Circular Economy (CE) approach fosters sustainable business practices. Cloud computing is a new way of storage and application deployment. Cloud computing enables sustainable business processes, which in turn contributes towards the effective implementation of the Circular Approach to Business Practices (CABP). The current study aims to understand the potential of cloud computing to foster circular economy practices in Small and Medium Enterprises (SMEs). We conducted a Systematic review of 186 scholarly articles published in Web of Science (WOS), selected using the PRISMA framework. We conducted scientometric analysis on sources, authors and country level and thematic analysis to pinpoint further research areas. This was followed by a detailed literature review of the articles selected to study the concept and current practices of circular economy and an evaluation of its implementation in emerging economies. The paper proposes an integrated framework grounded in two approaches, that is, the Technology, Organization and Environment (TOE) framework and institutional isomorphism as determinants of cloud adoption and CE implementation. The proposed model explores the impact of institutional forces on the various parameters of TOE, thereby culminating in the adoption of Cloud Computing in SMEs. The study would encourage leaders and managers of SMEs to adopt cloud computing for competitive advantage and achieve a circular economy approach together. The adoption of cloud‐based applications has a great potential to foster industrial and economic progress with minimum damage to the ecosystem, furthering sustainability and achieving Sustainable Development Goals (SDGs).
Sustainability in small and medium enterprises: A circular economy approach using cloud computing
Sustainable production and consumption are the need of the hour. Adopting the Circular Economy (CE) approach fosters sustainable business practices. Cloud computing is a new way of storage and application deployment. Cloud computing enables sustainable business processes, which in turn contributes towards the effective implementation of the Circular Approach to Business Practices (CABP). The current study aims to understand the potential of cloud computing to foster circular economy practices in Small and Medium Enterprises (SMEs). We conducted a Systematic review of 186 scholarly articles published in Web of Science (WOS), selected using the PRISMA framework. We conducted scientometric analysis on sources, authors and country level and thematic analysis to pinpoint further research areas. This was followed by a detailed literature review of the articles selected to study the concept and current practices of circular economy and an evaluation of its implementation in emerging economies. The paper proposes an integrated framework grounded in two approaches, that is, the Technology, Organization and Environment (TOE) framework and institutional isomorphism as determinants of cloud adoption and CE implementation. The proposed model explores the impact of institutional forces on the various parameters of TOE, thereby culminating in the adoption of Cloud Computing in SMEs. The study would encourage leaders and managers of SMEs to adopt cloud computing for competitive advantage and achieve a circular economy approach together. The adoption of cloud‐based applications has a great potential to foster industrial and economic progress with minimum damage to the ecosystem, furthering sustainability and achieving Sustainable Development Goals (SDGs).
Green logistics practices: The antecedents and effects for supply chain management in the modern era
Research background: Green logistics has become a focal point of interest for researchers and practitioners across diverse sectors, including operations, logistics, and supply chain management, over the past two decades. As global sustainability pressures intensify, the significance of green logistics continues to rise, driving a surge in empirical studies aimed at uncovering its far-reaching organizational impacts. Purpose of the article: This empirical study seeks to bridge a gap in the literature by consolidating key organizational elements that have not been collectively explored. At the core of this research is an original conceptual framework, meticulously developed and validated through a comprehensive empirical survey. The framework captures nine distinct factors, grouped into three critical dimensions: (a) drivers of green logistics practices, (b) the implementation of green logistics practices, and (c) firm performance as measured by the outcomes of these practices. Notably, four factors — customer pressure, economic pressure, environmental regulatory pressure, and government support — act as independent variables, while green logistics practices serve as both an independent and dependent factor. The dependent variables span four key aspects of firm performance: operational performance, financial performance, market performance, and social reputation. More explicitly, the aim of this study is to explore the key drivers and outcomes of green logistics practices, focusing on how factors like regulatory pressures and customer demands influence their adoption, and how these practices impact different measures of firm performance. Methods: The conceptual framework introduced in this study, organized across three dimensions, represents a novel approach that has been scarcely explored in the existing literature. To evaluate this framework, a newly developed, structured questionnaire was distributed to a carefully selected sample of Greek manufacturing companies. Respondents, including supply chain managers, operations managers, and chief executive officers, were chosen for their specialized knowledge and strategic insights. The empirical data were rigorously analysed using Structural Equation Modeling (SEM), a robust and well-established multivariate technique. This study is grounded in primary data, it is explanatory in nature as it examines cause-and-effect relationships, it is deductive as it tests (eight) research hypotheses, and quantitative through its statistical analysis of data gathered via a structured research instrument. Findings & value added: This study contributes significant empirical insights into the implementation and impact of green logistics practices within supply chain management. Unlike previous studies, it consolidates critical organizational elements into a comprehensive framework that reveals the influence of regulatory, economic, and customer pressures on green logistics adoption. The empirical results demonstrate that environmental regulatory pressure is the strongest driver of green logistics, underscoring the importance of regulatory compliance in shaping sustainable practices. This finding is particularly relevant, as stricter environmental regulations are expected in the coming years, making it timely and impactful for both academics and practitioners. The research also highlights the tangible benefits of green logistics practices on operational, financial, and market performance, as well as social reputation. This multi-dimensional approach offers more depth into the current body of research, indicating how green logistics practices can align with broader sustainability goals, while also enhancing business competitiveness. The value added of this study lies in the integration of three sets of factors, proposing a framework that can be used by future empirical research and business executives in the future. Finally, this empirical research offers practical guidance for state policymakers that aim to promote the adoption of green logistics and maximise their positive impact for business and society. Its findings suggest that enhancing the regulatory framework and, at the same time, offering better access to government support can really enhance the adoption of green logistics.
Enhancing Community E-Commerce Repurchase Prediction Through Information Entropy Analysis
In this study, we delve into the prediction and recommendation algorithm for user repurchase behavior within the community e-commerce landscape, leveraging the framework of information entropy. By analyzing consumer behavior data from a product-centered perspective, we observe that the majority of consumers engage in approximately 0-8 information search clicks before making a purchase, primarily focusing on product details, with an average of about 4 browsing interactions. Subsequently, a minimal portion of consumers exhibit 0-5 instances of preference behavior after browsing activities. Similarly, consumers who add items to their shopping carts typically engage in this behavior from 0 to 4 times, showcasing limited participation. Leveraging attribute probability, information entropy serves as a driving force for predicting community e-commerce users' repurchase behavior, contrasting with traditional outlier detection methods and underscoring the advantages of information entropy.
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