Search Results (68)

Can supply chain strategies, ESG practices, and digital innovations be the game-changers the planet needs for a sustainable future? Motivated by this question, this study investigates the drivers of CO₂ emissions, focusing on supply chain management (GSC), ESG sustainability practices, and Information and Communication Technology (ICT) in China from 2002Q4 to 2024Q4. Utilizing a series of wavelet tools—including wavelet coherence (WTC), partial wavelet coherence (PWC), and multiple wavelet coherence (MWC)—the study uncovers associations across time and frequency domains. To the best of the authors’ knowledge, this is the first study to examine these dynamics within the Chinese context using advanced wavelet techniques. The WTC results reveal that GSC, ICT, and patents are positively associated with CO₂ emissions, particularly during 2008–2016 and 2018–2024, while ESG practices reduced emissions before 2016 but became positively linked to emissions afterward. MWC and PWC analyses confirm that these drivers influence CO₂ within 1–4-year bands, while wavelet Granger causality tests indicate weak short-term but strong medium- to long-term causal relationships among ESG, GSC, PAT, ICT, and CO₂ emissions. Based on these results, policy recommendations are formulated. Full article

Food loss and waste are critical global issues, particularly in developing economies where they exacerbate food insecurity and environmental degradation. This study focuses on fruit and vegetable loss (FVL) in retail and wholesale markets in North Lebanon, a region marked by socio-economic challenges and infrastructural deficiencies. The research aims to identify the underlying drivers of FVL, assess current management practices, and identify aspects impacting it. Data was collected through surveys of seventy wholesalers and retailers employing descriptive statistics and multinomial logistic regression for analysis. The findings reveal that 85.7% of the sample generate little or no FVL. Being a retailer or wholesaler, operating on a small or large scale, or being open 24/7 or part-time does not affect FVL. Conversely, inadequate display and storage, hot weather, and pricing practices significantly impact FVL. The market faces challenges such as low consumer purchasing capacity, financial difficulties, legal constraints, and lack of knowledge. Various practices are used to prevent FVL, including strategic supply chain decisions, price reductions, and donations to charities. The study underscores the need for improved infrastructure, financial support, and regulatory frameworks to mitigate FVL, thereby enhancing food security and environmental sustainability in North Lebanon. Full article

Aquaculture is recognized as a critical contributor to global high-quality protein provision and food security maintenance. As the world’s most extensively cultivated bivalve species, the Pacific oyster (Crassostrea gigas) holds significant ecological and socioeconomic value. However, environmental impacts associated with its supply chain remain inadequately quantified. In this study, a cradle-to-gate Life Cycle Assessment (LCA) framework was implemented to evaluate the oyster production supply chain in Dalian, China, encompassing breeding, aquaculture, and processing stages and eleven environmental impact categories were systematically quantified. The results demonstrate that the aquaculture stage dominates the life cycle environmental footprint, contributing 88.9% of the total impacts. Marine aquatic ecotoxicity potential (MAETP) was identified as the predominant category, representing 92% of impacts within this stage. To advance sustainable development, further quantification of environmental impact drivers is recommended. Additionally, the feasibility of renewable energy adoption must be assessed, intelligent aquaculture management systems developed, and integrated evaluation models established. This study provides a useful reference for LCA methodology advancement in China’s aquaculture sector while contributing to global aquatic Life Cycle Inventory databases. Full article

This study examines the drivers and heterogeneous impacts of platformization—a form of digital transformation involving systems such as supply chain management, product data management, and integrated information technology solutions—on firm performance in a developing economy. Drawing on the Resource-Based View and Dynamic Capabilities View, we analyze data from 5542 Vietnamese firms across four sectors using an endogenous switching regression model, complemented by quantile regression. Platformization decisions are shaped by firm resources and managerial expectations, with strong sectoral variation. In manufacturing and construction, larger assets and a lower leverage promote adoption, while, in wholesale and retail, workforce size and perceived competitiveness are key drivers. Platformization enhances the returns to assets and cash flow—especially among high-performing firms—while reducing the negative effects of high debt and geographic disadvantages. The findings offer three practical implications: (1) prioritize digital adoption in asset-heavy sectors when financial conditions are stable; (2) invest in coordination- and customer-focused platforms in labor-intensive sectors; and (3) use digital tools to convert liquidity into performance gains. These insights support inclusive digitalization policies and contribute to Sustainable Development Goals 8 and 9 by linking digital transformation to resilience, adaptability, and innovation-led growth in transitional economies. Full article

Understanding the drivers of water yield (WY) changes in ecologically sensitive, data-scarce watersheds is crucial for sustainable management, particularly in the context of accelerating forest expansion and urbanization. This study focuses on the upper Yellow River Basin (UYRB), a critical headwater region that supplies 60% of the Yellow River’s flow and is undergoing rapid land use transitions from 1990 to 2100. Using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and the Future Land-Use Simulation (FLUS) model, we quantify historical (1990–2020) and projected (2025–2100) WY dynamics under three SSP scenarios (SSP126, SSP370, and SSP585). InVEST, a spatially explicit ecohydrological model based on the Budyko framework, estimates WY by balancing precipitation and evapotranspiration. The FLUS model combines cellular automata (CA) with an artificial neural network (ANN)-based suitability evaluation and Markov chain-derived transition probabilities to simulate land-use change under multiple scenarios. Results show that WY increased significantly during the historical period (1990–2020), primarily driven by increased precipitation, with climate change accounting for 94% and land-use change for 6% of the total variation in WY. Under future scenarios (SSP126, SSP370, and SSP585), WY is projected to increase to 217 mm, 206 mm, and 201 mm, respectively. Meanwhile, the influence of land-use change is expected to diminish, with its contribution decreasing to 9.1%, 5.7%, and 3.1% under SSP126, SSP370, and SSP585, respectively. This decrease reflects the increasing strength of climate signals (especially extreme precipitation and evaporative demand), which masks the hydrological impacts of land-use transitions. These findings highlight the dominant role of climate change, the scenario-dependent effects of land-use change, and the urgent need for integrated climate–land management strategies in forest-urbanizing watersheds. Full article

Sustainable Supply Chain Management (SSCM) emerges as a vital catalyst for inclusive growth and sustainable development, particularly in emerging economies where the manufacturing sector is central to economic progress. This study offers an in-depth analysis of the current research landscape on SSCM in the context of developing nations, outlining key theoretical frameworks and advocating for a solid conceptual foundation alongside a structured agenda for future research initiatives. This study employs a structured literature review technique to analyze 92 published articles indexed by Scopus from 2013 to 2024, revealing a burgeoning trend in the subject of global supply chains in developing nations. The analysis identifies key keywords such as “sustainable supply chain management,” “manufacturing industries,” “inclusive growth,” and “supply chain and sustainability,” and develops a conceptual model that elucidates how SSCM practices can be effectively integrated into manufacturing sectors to facilitate equitable growth and enhance business competitiveness. This work’s novelty lies in employing a systematic literature review to develop a holistic SSCM conceptual framework constructed upon six primary drivers: business model innovation, inclusive SSCM, corporate governance and leadership, technological and innovation capabilities, policy and regulatory environment, and circular feedback. This model addresses the ambiguity surrounding SSCM and inclusive growth, providing a robust foundation for future research and performance measurement. This study contributes to the field by providing a practical and theoretically grounded framework for researchers, policymakers, and practitioners seeking to implement impactful and effective SSCM initiatives in developing nations’ manufacturing sectors to promote inclusive growth and sustainable development. Full article

Facing growing sustainability challenges and the critical priority of digital transformation, this study explores, through the lens of the dynamic capability view, the links between big data, sustainable performance, and green supply chain in a circular economy logic, filling a notable gap in emerging markets, particularly the pharmaceutical sector. Our study proposes an original conceptual model linking big data analytics to the circular economy, tested with 275 employees from the Saudi pharmaceutical sector. The results, obtained through state-of-the-art PLS-SEM modeling, indicate a significant positive impact of big data analytics on sustainable performance and green supply chain management within the circular economy framework. The study also reveals the crucial mediating role of sustainable performance and green supply chain management in the relationship between big data analytics and the circular economy. Our study proposes an integrated framework for understanding how digital technologies support the circular economy in emerging markets, with practical implications for pharmaceutical sector actors and policymakers, in line with Saudi Arabia’s Vision 2030. Full article

Background: Emerging economies face a strategic imperative to transform their supply chains, aiming for economic resilience, environmental responsibility, and social inclusivity. Methods: This study, employing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, identified and prioritized key drivers for this sustainable transformation. Results: Expert input from supply chain professionals in various industrial sectors revealed five critical factors: top management commitment, stakeholder engagement, regulatory alignment, technological capability, and internal integration. Notably, technological capability and internal integration emerged as the most influential causal drivers, acting as crucial enablers for deeper, systemic change. These findings offer actionable insights for decision-makers in designing more effective transition strategies for logistics and supply chain systems, especially amidst rapid industrialization and escalating sustainability pressures. Conclusions: This research significantly contributes to the growing literature on strategic supply chain redesign, providing practical guidance for firms navigating sustainability transitions within complex, resource-constrained environments. Full article

Global supply chains have faced unprecedented disruptions in recent years, ranging from the COVID-19 pandemic to geopolitical tensions and climate-induced shocks. These events have exposed structural vulnerabilities in operational models overly optimized for efficiency at the expense of resilience and sustainability. This conceptual paper proposes an integrated framework linking resilience enablers, post-pandemic operational strategies, and sustainability outcomes. Through a synthesis of the interdisciplinary literature across operations management, sustainability science, institutional theory, and organizational behavior, we develop typologies of operational responses—including agile, lean–green, circular, and decentralized models—and connect them to broader Sustainable Development Goals (SDGs). Drawing on systems thinking and the Triple Bottom Line framework, we present a conceptual model that outlines causal relationships between resilience drivers, adaptive operational strategies, and long-term sustainable performance. The paper further discusses policy implications for public and private sectors, offering insights for global sustainability governance. We conclude by outlining a research agenda to empirically test and refine the model through multi-method approaches. This study contributes to theory by reconceptualizing sustainable operations in the context of compound global disruptions and offers a normative direction for future scholarship and practice. Full article

China’s National Famous, Special, Excellent, and New Agricultural Products are key rural economic assets, yet their spatial patterns and sustainability drivers remain underexplored. Based on the geospatial data of 1932 National Famous, Special, Excellent and New Agricultural Products in China, this study systematically analyzes their spatial distribution pattern by using GIS spatial analysis techniques, including the standard deviation ellipse, kernel density estimation, geographic concentration index and Lorenz curve, and quantitatively explores the driving factors of sustainable development by using geographic detectors. The research results of this paper are as follows. (1) The spatial distribution shows a significant non-equilibrium characteristic of “high-density concentration in the central and eastern part of the country and low-density sparseness in the western part of the country” and the geographic concentration index (G = 22.95) and the standard deviation ellipse indicate that the center of gravity of the distribution is located in the North China Plain (115° E–35° N), and the main direction extends along the longitude of 110° E–120° E. (2) Driving factor analysis showed that railroad mileage (X10) (q = 0.5028, p = 0.0025 < 0.01), highway mileage (X11) (q = 0.4633, p = 0.0158 < 0.05), and population size (X3) (q = 0.4469, p = 0.0202 < 0.05) are the core drivers. (3) Three-dimensional kernel density mapping reveals that the eastern coast and central plains (kernel density > 0.08) form high-density clusters due to the advantages of the transportation network and market, while the western part shows a gradient decline due to the limitation of topography and transportation conditions. The study suggests that the sustainable development of National Famous, Special, Excellent, and New Agricultural Products should be promoted by strengthening transportation and digital logistics systems, enhancing cold-chain distribution for perishable goods, tailoring regional branding strategies, and improving synergy among local governments, thereby providing actionable guidance for policymakers and producers to increase market competitiveness and income stability. The study provides a quantitative, policy-oriented assessment of China’s branded agricultural resource allocation and its sustainability drivers, offering specific recommendations to guide infrastructure investment, e-commerce logistics enhancement, and targeted subsidy design for balanced regional development. The study highlights three key contributions: (1) an innovative integration of geospatial analytics and geographical detectors to reveal spatial patterns; (2) clear empirical evidence for policymakers to prioritize transport and digital logistics investments; and (3) practical guidance for producers and brand managers to enhance product market reach, optimize supply chains, and strengthen regional competitiveness in line with sustainable development goals. Full article

The sustainable supply chain management (SSCM) literature does not directly address Scope 3 emissions despite their role as primary drivers of greenhouse gas emissions. This study aims to provide an overview of the main themes through which the SSCM literature has considered Scope 3 emissions and identify further avenues for research. A systematic literature review (SLR) was conducted. Scopus and Web of Science were the databases considered. Sixty-one papers were included in the analysis. Most papers focus on assessing and estimating Scope 3 emissions, followed by papers that discuss the reporting of Scope 3 emissions. These papers shed light on how firms may not report Scope 3 emissions if the information is negative to improve investors’ perception of the firm. The last group of papers discusses practices and strategies to manage Scope 3 emissions. The main challenge identified in establishing strategies to manage Scope 3 emissions is engagement with stakeholders, as, generally, only one or two tiers of the value chain cooperate. This study is the first to organize the literature on Scope 3 emissions under the lens of SSCM. If supply chains are to become more sustainable, focal enterprise coordination must be effective and leverage practices such as Scope 3 emissions metrics and measurement, data sharing, and green product development for all stakeholders. Full article

The convergence of International Marketing (IM) and Sustainable Supply Chain Management (SSCM) with the help of Institutional Technologies (IT) can be an important tool in the transformation of global business models. However, there is a clear gap in the current literature regarding the role of technology, organization, and environment (TOE) in this integration. In particular, it is unclear how these aspects of institutional technologies enable or impede integration and how the capabilities of enterprises change as a result. To fill this gap, this research describes the role of TOE aspects through a systematic literature review (SLR) of 40 analyzed papers. We used a subjective analysis of secondary data to show that technology modernization, organizational flexibility, and environmental policies are key drivers of integration, while technology incompatibility and limited information-sharing capabilities create barriers to the process. We present a conceptual framework that clarifies the stages of integration and propose 12 questions for future research. The results suggest that moderators should focus on the synergies between TOE aspects to develop effective integration strategies. This research provides a theoretical foundation for understanding the bilateral relationship between institutional technologies and integration, helping to create sustainable global business models. Full article

Implementation of green supply chain management (GSCM) has gained increasing attention as businesses seek to balance economic, social, and environmental sustainability. However, its adoption remains uneven across countries, particularly in developing economies such as Indonesia. This study aims to identify the key factors influencing the implementation of GSCM in Indonesian logistics companies using a qualitative approach. Data were collected via structured interviews with 14 senior management professionals from various logistics and supply chain companies. The findings reveal that, while awareness of GSCM exists, its implementation is hindered by high costs, regulatory limitations, inadequate infrastructure, and a lack of shared understanding or strategic prioritization among stakeholders, which points to a deeper organizational and policy disconnect regarding sustainability goals. Conversely, cost efficiency, brand image enhancement, and compliance with emerging regulations are identified as primary drivers of GSCM adoption. The study highlights the need for stronger government policies, financial incentives, and industry-wide collaboration to accelerate the adoption of sustainable supply chain practices. These insights contribute to both theoretical discussions on sustainable supply chain management and practical strategies for improving GSCM implementation in developing economies. Full article

Approximately 2.5 billion tons of waste are generated annually worldwide, with food waste constituting a significant portion: 88 million tons in the European Union (EU) alone. Food waste has severe societal, economic, and environmental consequences, contributing 15–16% of greenhouse gas (GHG) emissions from the food supply chain. In response, many countries, including EU member states, the United States of America (USA), and China, have introduced policies mandating food waste sorting. These regulations are informed by scientific research on waste prevention, environmental impact assessments, and cost–benefit analyses of waste reduction strategies. For example, studies on organic waste treatment technologies, economic incentives for waste sorting, and the effectiveness of landfill bans have influenced the development of the EU Waste Framework Directive (2008/98/EC), China’s National Waste Classification Policy (2017), and the USA Food Recovery Act (2015). As waste management continues to evolve, understanding the economic, technological, and policy dimensions of food waste sorting remains crucial for achieving sustainable development and circular economy goals globally. This study systematically reviews the international literature on food waste sorting, analyzing sorting behaviors and identifying theoretical frameworks that explain these behaviors. Using the PSALSAR systematic review methodology, 67 relevant studies from diverse geographic regions were analyzed. The findings highlight the critical influence of external factors in shaping sorting behaviors, such as financial incentives and infrastructure, alongside internal drivers, such as environmental awareness and social norms. While external measures often yield immediate compliance, internal motivation fosters long-term behavioral changes. Moreover, significant regional and cultural variations in food waste sorting practices were identified. The Theory of Planned Behavior (TPB) emerged as a dominant framework in the study of waste sorting behaviors, often complemented by other models such as Social Cognitive Theory (SCT). Policy recommendations emphasize the need for tailored interventions that address regional and demographic differences, community-driven educational initiatives, and the integration of innovative waste sorting technologies. Future research should focus on assessing the economic and psychological impacts of waste sorting policies across different socio-cultural contexts and exploring innovative strategies to enhance global public participation in food waste management. Full article

The rapid advancement of artificial intelligence (AI) has become a key driver in shaping firms’ environmental, social, and governance (ESG) performance. This study investigates the impact of corporate AI capabilities on ESG outcomes and examines how external environmental factors moderate this relationship. Using panel data from all A-share listed firms on the Shanghai and Shenzhen Stock Exchanges between 2010 and 2023, we measure firms’ AI capabilities through text analysis of annual reports and apply fixed-effects regression models to test our hypotheses. The results show that higher AI capability significantly improves ESG performance. Mechanism analysis suggests that AI enhances ESG outcomes by optimizing resource allocation and increasing efficiency in production and supply chains. Further, the positive effect of AI on ESG performance is more pronounced in industries with intense competition, while it is weakened under high environmental uncertainty. These findings contribute to the growing literature on AI and corporate sustainability by revealing both the internal mechanisms and contextual contingencies that shape ESG performance. The study offers practical insights for corporate managers aiming to leverage AI for sustainable development and provides policy recommendations for fostering supportive external environments. Full article