Search Results (849)

Lithium has become one of the key raw materials for the energy transition due to the central role of lithium-ion batteries in electromobility, energy storage, and the integration of renewable energy sources. However, the rapid increase in demand reveals growing environmental, social, geopolitical, and market tensions. The aim of the paper is a critical synthesis of global lithium utilization from the perspective of challenges, technological innovations, and integrative strategies supporting a more sustainable material–energy system. A broad, systematic literature review covering the entire value chain was applied: resources, extraction, processing, end-use applications, second life of batteries, recycling, and governance. The analysis shows that the strategic importance of lithium arises from the increasing demand pressure from electric vehicles and stationary storage, while the sustainability of the current model is constrained by supply concentration, uneven control over downstream stages, the water–carbon footprint of extraction and processing, social conflicts, and incomplete integration of secondary loops. At the same time, innovations such as direct lithium extraction (DLE), recovery from geothermal brines, design for recycling, second life, and battery passports can partially alleviate these tensions, but they do not eliminate the need for primary supply in the short term. The conclusion of the work is that sustainable global lithium utilization requires simultaneous diversification of sources, development of circular value chains, and multi-level governance integrating resource security, environmental efficiency, and social legitimacy. Full article

While the operational benefits of Artificial Intelligence (AI) are well-documented, the mechanisms through which firms leverage AI for strategic exploration and radical innovation remain under-theorized. This study addresses the “black box” of AI value creation by integrating the Technology–Organization–Environment (TOE) framework with the Dynamic Capabilities View (DCV). We propose that AI adoption is not a direct antecedent to performance but a multi-stage process wherein technological, organizational, and environmental factors enable the development of sensing capability, which in turn fosters a novel capability we term “AI-Enabled Exploration.” Analyzing survey data from 245 senior executives in Saudi Arabia, a high-growth economy undergoing state-led digital transformation, we employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the model. The results confirm a serial mediation chain: organizational readiness and technology compatibility drive sensing capability, which subsequently powers AI-enabled exploration to enhance innovation performance. Contrary to expectations, government support was not a significant predictor of sensing capability, suggesting that in resource-rich environments, external incentives are necessary but insufficient for capability building. Furthermore, competitive pressure was found to positively moderate the relationship between organizational readiness and exploration, acting as a critical catalyst that converts latent resources into active experimentation. These findings offer a theoretical roadmap for firms attempting to transition from AI-driven efficiency to AI-driven ambidexterity. Full article

As Chinese manufacturing enterprises became more deeply integrated into global value chains, they faced increasingly restrictive U.S. export controls that limited their access to foreign technologies and critical intermediate inputs. Using firm-level data from Chinese listed manufacturing firms over 2006–2015 and the U.S. Entity List, this paper systematically examines the impact of export controls on China’s export technology complexity and explores the underlying mechanisms. The study shows that U.S. export controls significantly reduce manufacturing enterprises’ export technological complexity. The negative effect is more pronounced among enterprises in eastern China, state-owned enterprises, large enterprises, and enterprises operating in high-technology industries. Mechanism analysis shows that export controls suppress the growth of export technological complexity by increasing transaction costs and disrupting supply chains. Although the disruption of innovation chains may stimulate firms’ indigenous innovation, the overall effect of export controls remains negative. Our findings provide theoretical and practical insights for China’s strategies to respond to export controls, enhance the technology complexity of manufacturing exports, and strengthen its position in the global value chain. Full article

Firms increasingly face disruptions arising from technological change, supply chain instability, and uncertain policy environments, making enterprise resilience a key concern for both managers and policymakers. As firms operate within interconnected digital and supply chain systems, this study examines whether digital intelligence policy and supply chain coordination policy are jointly associated with enterprise resilience. Using a firm-year panel of Chinese A-share listed companies from 2010 to 2024, we investigate AI innovation pilot zones and supply chain innovation pilots, with a particular focus on whether their coexistence is associated with a complementarity premium. The results suggest that both AI innovation pilot zones and supply chain innovation pilots are positively associated with enterprise resilience. The interaction between the two policies is significantly positive, providing evidence consistent with an additional joint-policy association beyond their separate associations. Dynamic analysis supports the parallel trend assumption and suggests that the estimated complementarity association becomes stronger over time. Mechanism tests provide channel-consistent evidence that joint policy exposure is associated with higher values of the digital-transformation indicator, stronger supply chain coordination, and greater resource reconfiguration. Heterogeneity analysis further suggests that this association is more pronounced among non-state-owned firms, firms in supply-chain-dependent industries, firms located in cities with stronger digital infrastructure, and firms with higher risk exposure. These findings highlight the potential importance of coordinated policy design for supporting firm-level resilience. Full article

The circular economy (CE) is increasingly recognized as a strategic approach that enables firms to address environmental challenges while enhancing competitiveness and long-term value creation. However, evidence regarding its impact on business performance remains fragmented across sectors, performance dimensions, and organizational contexts. This study presents a systematic literature review conducted in accordance with the PRISMA 2020 guidelines to examine how CE practices influence business performance. The review synthesizes evidence from 79 peer-reviewed publications published between 2015 and 2025. The findings identify five major channels through which CE practices affect business performance: (1) economic, environmental, and social performance, (2) operational and supply chain performance, (3) competitive advantage and strategic positioning, (4) financial and environmental performance, and (5) barriers and performance in SMEs. Across these dimensions, CE practices are frequently associated with improved resource efficiency, cost reduction, innovation capacity, supply chain resilience, and enhanced environmental outcomes, including waste reduction and lower emissions. The review suggests that the performance effects of CE are contingent upon contextual factors such as firm size, ownership structure, industry characteristics, regulatory environment, and digital capabilities. While large firms often benefit from greater resources and organizational capacity, SMEs face significant barriers related to finance, technology, and governance, although these can be mitigated through collaboration networks and digitalization. The study contributes to the Strategic Environmental Management literature by indicating that CE practices may function not only as environmental initiatives but also as strategic capabilities that support competitiveness, resilience, and sustainability transitions. The findings provide implications for managers seeking to integrate circularity into business strategy and for policymakers designing institutional conditions that enable circular business transformation. Full article

The blockchain-based Automated Market Maker (AMM) mechanism establishes a multilateral trading market for multi-source homogeneous data assets. Its advantage lies in realizing algorithmic dynamic pricing and automated circulation through decentralized liquidity pools, effectively avoiding the single-point failure issues and pricing inefficiencies associated with traditional centralized platforms, while significantly improving the trading efficiency and value conversion potential of data assets. However, in high-frequency, large-scale, multilateral data trading scenarios, these AMM liquidity pools face intensified Impermanent Loss (IL) that cannot be easily addressed by conventional risk mitigation approaches, necessitating domain-specific tailored solutions. To address this issue, our study proposes a blockchain on-chain liquidity pool-based data trading market model. Through mathematical modeling and simulation experiments, we quantify how trader behavioral characteristics, including price sensitivity differentials, heterogeneous trading frequencies, and trading size variations, impact the value of AMM liquidity pool. On this basis, we propose a Behavior-Aware Real-time Trading-driven Impermanent Loss optimization method (BART-IL), which uses multi-factor scoring to dynamically sequence trades, generating low-impermanent-loss execution paths to mitigate risks for Liquidity Providers (LPs). Experimental results demonstrate that BART-IL reduces IL for LPs, capping maximum loss at 25.6% in large-scale trading scenarios and achieving over 40% loss reduction in high-frequency-dominant markets. Accordingly, the method substantially lowers the overall risk of data trading. This research addresses the adaptability bottleneck of AMM mechanisms for non-standard assets. By integrating innovations in mechanism design and algorithm optimization, we construct a low-cost blockchain-based decentralized data trading framework with enhanced fairness, offering important implications for ensuring the robustness and attractiveness of data trading platforms. Full article

Bioeconomy is an important concept of economic development, supported at the highest political levels. However, its successful implementation calls for action within local markets. This study, therefore, examined the market readiness to engage in bioeconomy growth and emerging value chains in Italy, Slovenia, Germany, Poland, Slovakia, and Austria. The objectives were to assess the market readiness for placing novel bioproducts based on by-products and waste from primary production and agri-food processing sectors, and to evaluate the economics of their production. Specific goals were to estimate the availability of by-products and waste used for making new products, evaluate the main directions and trends in the use of by-products and waste, analyse the main barriers and restrictions to by-product and waste supplies to new enterprises and innovative applications, and make an economic assessment of the market entry of innovative products and their development. The study showed that the oil industry, with a high residue potential, was most often chosen to market new products. Other sectors where value chains can be created or modified are the fruit, winery, grain and milling, wood, hemp, and vegetable industries. PESTEL analysis demonstrated that economic factors, at both national and global levels, are the most common barriers to supplying by-products and waste to new business entities. Technological factors also significantly impede the delivery of by-products and waste to such new enterprises and their processing into novel products. In contrast, social conditions are the main factors stimulating supply of by-products and waste to such new plants. The results provide a preliminary insight into the Central European market and its enormous development potential, which is already implicated in the context of growing bioeconomy. Full article

This paper analyzes the evolution of sustainability in the wine industry, integrating environmental practices, climate change adaptation, governance mechanisms, and marketing dynamics into a unified perspective. The aim of the research is to identify the main thematic directions and innovative contributions that shape the sustainable development of the wine sector. The methodology consists of a systematic review of the literature conducted and reported in accordance with the PRISMA 2020 guidelines, based on relevant scientific studies addressing the following eight thematic dimensions: sustainable value chain and wine production, environmental practices and ecological management, climate change adaptation and viticultural resilience, governance, policies and SDG integration, wine marketing, positioning and competitiveness, consumer behavior and willingness to pay, wine tourism and regional development, and green innovation and sustainable business models. The broad thematic scope of the review was established on the basis of a preliminary scoping of the existing literature, while the specific themes and analytical patterns were derived inductively through systematic content analysis of the 175 included studies. The results highlight the predominance of the environmental dimension, particularly through the use of life-cycle assessment, climate adaptation strategies, and resource optimization. At the same time, there is a growing interest in digitalization, sustainable governance, and the consumer’s role in market orientation, while the social dimension remains insufficiently explored. The analysis reveals a transition toward integrated and systemic approaches, in which sustainability, innovation, and competitiveness are interdependent throughout the entire wine value chain. The conclusions highlight the need for an integrated approach, based on innovation, collaborative governance, and consumer orientation, to support the transition toward a sustainable model in the wine industry. Full article

Although South Africa has an extensive water infrastructure, it continues to face significant water scarcity due to its semi-arid climate, increasing urbanisation, ageing infrastructure, and pollution. These challenges, coupled with climate change and increasing water demand, have led to inefficiencies across the water value chain, particularly in rural areas. This review paper evaluates the current adoption of predictive analytics in South Africa’s water management system through a systematic literature review. It identifies the current applications, implementation gaps, and key system components that are suitable candidates to enhance efficiency, resource planning, and long-term sustainability in the sector. The findings show that while predictive models are being applied in urban systems for demand forecasting and proactive maintenance, only 15% of the reviewed studies address their actual adoption in rural or under-resourced contexts. This underscores the need for more inclusive development strategies to ensure equitable water service delivery. Although strides have been made in research and innovation, a major barrier is the slow transition from research to operational deployment, which hinders the full realisation of these technologies’ benefits that are essential for water supply sustainability and availability. Full article

This article investigates how EU and Member State legislation contributes to advancing circularity in the textile value chain, a priority sector due to its significant environmental impacts and economic relevance. The research aims to address the lack of comprehensive analysis of national legislation supporting textile circularity and to assess its alignment with the evolving EU framework. An inventory and critical analysis of legislative measures adopted at EU and Member State levels, covering all phases of the textile value chain, has been developed, based on review of the literature, screening of European Environment Agency and European Commission reports, and targeted web search. Results show that recent reforms of EU legislation, such as the Ecodesign for Sustainable Products Regulation and the revised Waste Framework Directive, have marked a shift toward a more systemic, lifecycle-oriented regulatory framework promoting textile circularity. Moreover, approximately 130 national policy initiatives and legislative measures exceeding EU requirements have been identified, with legislation focusing especially on the consumption and end-of-life stages and relevant innovation in countries such as France, Belgium, and the Netherlands. However, regulatory gaps remain, particularly regarding consumption, prevention of textile waste, secondary raw materials market, and recycling capacity. The findings also highlight the importance of stronger policy coherence between EU and national legislation. Full article

In the volatility, uncertainty, complexity, and ambiguity (VUCA) era, platform enterprises face the critical challenge of balancing flexibility and controllability to sustain competitive advantage. Existing studies have examined these two dimensions separately but offer limited insight into their synergistic mechanisms within complex adaptive ecosystems. Drawing on the structural, cognitive, and relational dimensions of social capital theory, with a particular emphasis on institutional-level collaborative social capital among platform enterprises and their supply-chain partners, this study employs dynamic fuzzy-set Qualitative Comparative Analysis (fsQCA) to identify the configurational pathways through which Chinese platform enterprises achieve high sustainable development performance. Using panel data from Chinese A-share listed platform enterprises (2014–2024), we identify three equifinal configurational pathways sufficient for high sustainable development performance: (1) a cognitive-relational alliance-driven path, (2) a structural-relational hybrid synergy path, (3) a structural-cognitive flexible innovation path. Innovation value consensus emerges as a core condition across all pathways. These configurations are sufficient for platforms to exhibit flexible market responsiveness and strategic controllability under varying environmental conditions. The study advances social capital theory by demonstrating the multidimensional, synergistic, and context-sensitive nature of flexibility-controllability coupling in platform governance. It also provides managers with actionable insights for tailoring social capital investments to specific regional and strategic contexts. Full article

The cosmetics industry continually seeks innovations that deliver ever-higher performance while meeting growing sustainability requirements. Although numerous plant-derived surfactants have recently emerged, achieving performance levels comparable to synthetic benchmarks remains challenging. In this study, we aimed to design a natural polyglycerol-10 ester (PG-10 ester) capable of stabilizing demanding systems such as high-internal-phase nano-emulsions (nano-HIPE) and mineral oil-in-water sunscreens. We investigated the key parameters governing surfactant efficiency: fatty acid composition from C12 to C22 or their blends, the presence of partial glycerides, and reaction parameters. Various polyglycerol esters were synthesized and characterized through chromatographic analysis and HLB determination, and then incorporated into formulations to assess their performance. This work made it possible to identify four parameters as essential for achieving high surfactant efficiency: (i) grafting multiple fatty acids onto a single polyglycerol backbone, (ii) combining short/medium-chain (<C16) and long-chain (≥C16) fatty acids, (iii) including partial glycerides within the surfactant, and (iv) allowing the reaction medium to reach full equilibrium. Achieving full equilibrium results in synthesis medium clarity, which allows the HLB value to rise from 6 to 7 to 11–12 and ensures complex emulsion stability. This rational design approach led to a natural PG-10 ester whose performance equals that of conventional synthetic benchmarks, providing a significant advancement toward sustainable high-performance surfactant technologies. Full article

In developing countries, promoting sustainable income growth for farmers is a major priority. This study constructs an evaluation index system for the whole agricultural industry chain from the perspective of synergy among the innovation chain, supply chain, value chain, and capital chain. It also empirically tests the enabling mechanisms and spatial effects of the whole agricultural industry chain on farmers’ income. The entropy value method was used to measure the development level of the whole agricultural industry chain. Two-way fixed effects, mediation effects, and spatial Durbin models were applied to investigate the impacts, mechanisms, and spatial characteristics of the whole agricultural industry chain on farmers’ income. The whole agricultural industry chain significantly promotes farmers’ income growth, with the expansion of the non-agricultural employment scale and the improvement of urbanization levels serving as the main pathways through which the whole agricultural industry chain drives increases in farmers’ income. The heterogeneity analysis reveals that the innovation chain and capital chain contribute the most prominent marginal effects; the effect intensity of the whole agricultural industry chain on farmers’ income presents a spatial gradient pattern of “Central > Western > Eastern”; and its income-increasing effect is more noticeable for middle- and low-income farmers, demonstrating significant pro-poor characteristics. Further analysis indicates that the whole agricultural industry chain exerts a significant positive spatial spillover effect on farmers’ income. Therefore, it is essential to optimize the layout of the whole agricultural industry chain, smooth the transmission channels of non-agricultural employment and urbanization, and enhance the benefit linkage mechanism targeting middle- and low-income farmers. Full article

This study investigated the effects of red grape pomace powder (GPP) on spontaneously fermented salamis produced from the meat of retired cows and young bulls of the Cinisara dairy breed. The use of GPP and meat from these animal categories was motivated by the valorization of low-commercial-value agri-food resources and the enhancement of sustainable local production chains. Plate count analyses showed typical fermentation dynamics, with lactic acid bacteria (LAB), coagulase-negative staphylococci, and yeasts reaching approximately 7 log CFU/g, and confirmed the absence of major foodborne pathogens. Illumina sequencing further characterized the bacterial community, identifying Latilactobacillus as the dominant genus at the end of ripening, with relative abundance (RA) of up to 65% in GPP-enriched trials. Physicochemical analyses showed progressive changes during ripening, including weight loss, pH decrease, color development, and increased proteolysis. GPP supplementation contributed to the stabilization of a*, chroma, and hue values, while reducing lightness during ripening. Oxidative stability measurements showed that GPP derived polyphenols effectively limited oxidative reactions, especially secondary lipid oxidation. GPP also modulated the volatile profile by increasing ester formation and introducing plant-derived compounds. Sensory evaluation revealed higher color intensity and aroma in enriched salamis, along with higher bitterness and lower structural homogeneity, especially in those produced from retired cows. Consumer surveys conducted in two retail settings indicated strong interest in this innovation, with over 80% of respondents willing to pay a 10–20% price premium. Overall, GPP emerges as a promising functional ingredient for enhancing, diversifying, and valorizing fermented salamis produced from dairy cattle meat, supporting both product innovation and sustainability-oriented strategies. Full article

To address the challenges of difficult value quantification, lack of market benchmarks, and scarcity of historical data for embedded software amidst the intelligent transformation of equipment systems, this study develops a scientific price estimation method based on functional capability contribution. A nonlinear pricing model is constructed to accurately characterize the two-stage evolution of software price: diminishing marginal utility during the mature technology accumulation stage and exponential growth during the technical bottleneck breakthrough stage. To ensure the consistency of pricing logic between hardware and software, a penalty function is innovatively designed to modify the standard likelihood function, effectively transforming practical business logic into a model regularization term. Parameter estimation is achieved by employing a Bayesian inference framework integrated with operational constraints, utilizing Markov Chain Monte Carlo (MCMC) sampling to realize robust posterior inference under small-sample constraints. Empirical analysis demonstrates that the proposed method achieves superior cross-domain data transfer performance compared to traditional baseline models, with a Leave-One-Out Cross-Validation (LOOCV) Mean Absolute Percentage Error (MAPE) of 21.2%. This research provides a practical value-oriented price estimation method for embedded equipment software pricing. Full article