Search Results (4,279)

Collaborative business ecosystems (CBEs) face persistent disruptions, including pandemics, geopolitical instability, climate shocks, cyber threats, resource scarcity, and sustainability transition pressures. Building on prior CBE resilience–antifragility research and a mathematical framework that introduced plasticity as a viable below-baseline response trajectory, this integrative review aims to develop a sustainability-oriented framework explaining how CBEs can align response modes, strategies, capabilities, governance mechanisms, and enabling infrastructures under persistent disruption. The review synthesizes the 2019–2026 literature on sustainable business model innovation (SBMI), circular and regenerative perspectives, digital capability infrastructures, and ecosystem governance. Drawing on 99 sources, it proposes a six-layer Sustainable Resilience–Antifragility Framework for CBEs (SRA-CBE Framework), linking disruption sources, ecosystem vulnerabilities, viable response modes, strategy and capability portfolios, governance mechanisms, and sustainability-oriented outcomes. The synthesis shows that sustainable CBEs require aligned strategy bundles, adaptive and sustainability-oriented capabilities, governance arrangements that prevent collaboration and digitalization from becoming fragility sources, and enablers such as SBMI, circularity, scenario simulation, and governed digital infrastructures. The paper contributes by sharpening the link between disruption response and sustainability-oriented ecosystem design, repositioning viable response modes as design positions, and outlining managerial and research implications for sustainable collaborative ecosystems. Full article

Household food waste (HFW) is a major contributor to global food loss, making its reduction a priority for policymakers, businesses, and organizations. Accurate waste estimates and an understanding of their drivers are essential, yet current data are inconsistent due to different quantification methods. This study introduces the open-source, Integrated Food Waste (IFWASTE) agent-based model. IFWASTE is the first agent-based model to quantify household food waste by both weight and composition, incorporating behavioral factors such as the Theory of Planned Behavior and socioeconomic variables. Simulations of 10,000 households over 100 days show substantial variability in food waste, with an average of 0.23 to 0.33 kg per capita per day, depending on the number of kids. This estimate aligns with previously reported empirical data. The IFWASTE model also analyzes both individual HFW behavior over time and broader neighborhood-level patterns, supporting evidence-based reduction strategies. Full article

Industry 5.0, deploying artificial intelligence (AI) at its core, reframes industrial evolution from a predominantly technology- and efficiency-driven innovation model toward a virtuously human-centric, sustainable, and resilient model of value creation by organizations. This review paper, based on an interdisciplinary literature review, explores how AI, within the Industry 5.0 paradigm, reshapes economic logics, the understanding of information asymmetry, and sustainability trajectories, and the implications for entrepreneurial strategy and business model innovation, which demand the development of a new form of organizational intelligence. While the literature suggests that AI, when deployed within a mature Industry 5.0 framework, could generate synergistic economic and sustainability values through circular, human-centered, and digitally augmented systems, human–AI co-intelligence gains are contingent on insights that address systems quality, reskilling, ethics, and reorienting resources from overly short-term profit maximization toward wisdom for long-term socio-ecological, climate resilience, and ESG performance. This study introduces a framework for tackling organizational sustainability dynamics, anticipating the emergence of new industries and the retransformation of enduring ones amid creative destruction in the AI era. Future studies to fill knowledge gaps and implications for human competencies that will enhance organizational intelligence are articulated. Full article

Cooperatives play a significant role within organizational models by providing essential services such as technical support, advocacy, information, knowledge, and guidance, which contribute to the production of high-quality animal products in a safe, efficient, and responsible manner. Furthermore, cooperatives aim to enhance the livelihoods of marginalized populations and address consumer needs. In this context, a study focusing on the status of women’s cooperatives in the Eastern Mediterranean offers valuable insights into women’s participation in economic and social life, as well as their challenges and expectations. This research aims to evaluate the status, perspectives, participation, activities, and expectations of women’s cooperatives in Lebanon and Turkey. The findings indicate that 90% of respondents in Lebanon and 45.5% in Turkey expressed satisfaction with their respective cooperatives. Additionally, 90% of Lebanese respondents and 59.1% of Turkish respondents would recommend that women establish their own cooperatives. The most common motivation for forming cooperatives in both countries was the belief that women are stronger when they collaborate. Furthermore, 75% of respondents in Lebanon and 45.4% in Turkey believe that cooperatives are suitable for conducting business, while those who disagreed emphasized the need for specialized traders to address specific business requirements. Respondents who expressed dissatisfaction with cooperative collaboration often mentioned difficulties in making joint decisions and challenges in group cohesion. These findings underline the importance of cooperatives in enhancing women’s roles in economic activities and the challenges they face in both Lebanon and Turkey. Despite these challenges, women’s cooperatives continue to be perceived as a valuable means of empowerment and a key strategy for fostering collaboration and economic growth. Full article

Digital small and medium-sized enterprises (digital SMEs) in emerging market economies operate in disruption-biased environments where interruptions can quickly deteriorate operational reliability and long-term performance. Existing studies insufficiently integrate business continuity management (BCM) into capability-based performance models in the digital SME context, especially when focusing on operational rather than strategic perspectives in emerging market economies. Moreover, empirical evidence on how multiple organisational capabilities interact under disruption remains fragmented. This study therefore aims to prioritise the most influential capability-based determinants of sustainable performance in Thai digital SMEs using expert consensuses analysed via Fuzzy TOPSIS. This study adopted the following two-stage research design. Stage 1: A three-round e-Delphi panel (n = 21) refined and prioritised the most influential determinant; the expert group included SME business owners (with more than 20 years of SME management experience) and relevant specialists. The consensuses were then analysed using Fuzzy TOPSIS to rank the determinants by relative importance. Stage 2: Structural Equation Modelling (SEM) using survey data from 817 Thai digital SMEs was utilised to validate the proposed capability transmission pathways, and a strong fit was demonstrated (χ²/df = 1.672, CFI = 0.984, RMSEA = 0.029). The study findings highlight continuity-oriented routines as a practical leverage point for SME leaders and policymakers seeking resilient and sustainable performance in digital markets, and positions BCM as an actionable strategy toward achieving these goals. Full article

In biodiversity-rich borderlands, some humanitarian settlements are rapidly expanding. This creates a profound conflict: refugees need a place to live, and ecosystems need protection. However, how settlement growth spatially affects the ecology surrounding protected areas remains understudied. This study takes as an example the city of Teknaf in Bangladesh, one of the world’s largest refugee gathering areas, to explore how settlement expansion changes the ecological structure and function of protected area boundaries, with a focus on two questions: Are there critical spatial thresholds? What is the role of climate feedback mechanisms? We build an analysis framework that integrates several types of data: multitemporal remote sensing images, land-use changes, ecological indicators (NDVI, LST, HQ), landscape pattern indices, gradient analysis, and 2036 simulations based on the business-as-usual scenario. Through this framework, we identify the ecological threshold at the junction of settlements and forests within the Teknaf Wildlife Sanctuary. The expansion of settlements has turned the landscape, which was originally dominated by vegetation, into fragmented hard patches. At the same time, the habitat is severely degraded, and heat stress intensifies. Notably, a critical transition zone emerges at approximately 300–500 m from the protected area boundary, where landscape fragmentation intensifies, habitat quality declines, and heat stress reaches its peak, highlighting a spatial hotspot of ecological vulnerability. If there are no intervention measures, future scenario simulations show that the continued expansion of settlements will only isolate protected areas and accelerate ecological degradation. On the basis of gradient analysis for spatial diagnosis, we propose a zoning management framework and regeneration landscape strategy with the direct goal of coordinating ecological protection and humanitarian needs in crisis-prone border areas. 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

Existing accounts of platform-mediated complementor growth rest on two limiting assumptions: that platform enablement constitutes a homogeneous environmental input and that firm growth is a unitary outcome. This double simplification obscures how distinct platform provisions generate qualitatively different forms of firm transformation. This study asks which combinations of mechanistically distinct platform enablement types and internal strategic response capabilities activate which forms of leapfrog growth among complementor firms operating under dual institutional governance. We employ fuzzy-set Qualitative Comparative Analysis (fsQCA) on survey data from 374 complementor firms in China’s autonomous driving platform ecosystem. Five antecedent conditions are examined across two dimensions: platform enablement, comprising rule-based enablement (RE) and business platform enablement (BPE); and strategic response capabilities, comprising network linkage capability (NLC), organizational ambidexterity (OA), and policy responsiveness (PR). Three outcome variables capture three non-reducible leapfrog dimensions: technology-chain (TL), value-chain (VL), and institutional-chain (IL) transitions. A reverse-causality robustness check and a common-method-bias assessment corroborate the validity of findings. The analysis identifies equifinal configurational pathways with distinct dominant logics across the three chains. Technology-chain transitions are predominantly network-linkage-driven; value-chain transitions are policy-responsiveness-anchored; institutional-chain transitions exhibit genuine equifinality between network-linkage and policy-responsiveness pathways, both requiring dual-platform enablement as a universal structural precondition. No single enabling condition or capability suffices; leapfrog growth is irreducibly configurational and causally asymmetric. The study offers a dual-enablement, three-chain configurational framework for understanding platform-mediated firm growth under dual institutional governance. For complementor firms, findings support dimension-selective capability investment over uniform accumulation strategies. For platform orchestrators, differentiated governance design calibrated to specific complementor upgrading trajectories outperforms homogeneous resource provisioning. For policymakers, institutionalized consultative channels linking private platform governance with public regulatory processes are recommended to facilitate coordinated digital industrial transformation. Full article

Cities in climatic transition zones face coupled radiative and evaporative stresses, and their carbon emission mechanisms differ significantly from those in humid regions. Taking Xi’an, a typical megacity in the transition zone, as a case study, this research utilises a 500 m × 500 m grid to integrate multi-source data for carbon emission accounting. By applying spatial autocorrelation and the Multi-scale Geographically Weighted Regression (MGWR) model, this study examines the spatial heterogeneity of carbon emissions and the mechanisms through which urban planning influences them. The results indicate that carbon emissions in Xi’an exhibit a “core–periphery” agglomeration pattern, with commercial land use exhibiting the highest emission intensity. Carbon emissions and land surface temperature are spatially coupled, consistent with a hypothesised positive feedback loop of the “dry heat island” effect. Morphological factors exhibit spatial non-stationarity: floor area ratio is positively associated with emissions in the old city centre, whereas mutual shading among super-high-rise buildings in the High-Tech Zone coincides with a weaker effect. Building density shows a positive association only where ventilation is limited. Land use mix and blue–green spaces show non-linear negative associations with emissions, with higher marginal benefits in arid–hot environments. This study proposes carbon reduction strategies for the renewal of old urban areas, business cores, and new ecological districts, providing empirical evidence and decision-making references for low-carbon spatial planning in cities within the climatic transition zone. 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

Climate change has become a major macroeconomic challenge with profound implications for the real economy. This study examines the influence of perceived climate-related risks, proxied by news-based indices capturing media attention to global warming, natural disasters, US climate policy, and international climate summits, on US business activity across short- and long-term horizons. The methodological framework first employs principal component analysis to condense multiple explanatory variables into a single composite factor. A Fourier autoregressive distributed lag model is then adopted to estimate the effects of these forward-looking informational proxies over time. The results reveal marked heterogeneity across perceived climate-related risks and temporal horizons. Global warming news intensity constitutes a persistent impediment, exerting stronger and more durable effects on business activity. Natural disaster media coverage generates sharp short-term deterioration, although its influence fades over longer horizons. News-based transition-risk proxies exhibit a mixed pattern. US climate policy media coverage consistently dampens business conditions, whereas international climate summit coverage plays a comparatively modest role. Our findings underscore that a one-size-fits-all strategy is ineffective. Climate risk management should differentiate between persistent and transitory forces, recognizing that perceived risks may operate through expectations, uncertainty, and sentiment rather than realized damages or enacted policies alone. Full article

In a time of pandemic interruptions, work arrangements and flexible work environments are becoming more and more crucial in service firms. While this issue is central to the ethics and effectiveness of human–AI interaction, it has received limited focused attention in both research and practice. As businesses increasingly deploy AI to enhance productivity and efficiency, concerns are emerging about its potential impact on employee well-being resulting specifically in work–life conflict. This study investigates how AI implementation can simultaneously drive performance and contribute to burnout, drawing on an empirical framework. Using a quantitative research design, data will be collected from employees at a university in Kuwait actively integrating AI technologies into their workflows. Guided by the IMPACT model and grounded in the Conservation of Resources (COR) theory and the Social Cognitive Theory (SCT), this study explores how organizational investment in AI influences employees’ experiences of work–life conflict. The findings will highlight AI’s dual role as a productivity enhancer and a potential stressor within a Kuwaiti institution. The study underscores the importance of balanced digital strategies—aligning technological advancement with leadership empathy, robust support systems, and employee well-being initiatives. By contextualizing global research within Kuwait’s evolving digital landscape, this study contributes region-specific insights and practical recommendations for fostering human-centered, sustainable AI integration. Ultimately, it aims to guide organizations in designing AI policies that enhance productivity without compromising employee health, advancing the responsible and ethical management of AI in the workplace. Full article

While digital communication is critical for business growth, there is a notable lack of research concerning the specific digital and corporate strategies of bio-health start-ups in regional ecosystems like Andalusia. This article addresses this gap by analysing the corporate and digital strategies of the leading bio-health start-ups at the Andalusian Health Technology Park. The research focuses on innovation in the health sector and builds on the broader discourse surrounding science communication as applied to Andalusian companies. Health innovation companies are implementing their digital corporate strategies to raise their profile and reach their target audience. For Andalusian bio-health start-ups, the main focus is on their websites; this is why they are analysed here from different perspectives, with the aim of evaluating the information they share and its effectiveness. To this end, a mixed approach combining quantitative and qualitative content analysis is proposed, and data analysis tools are applied to web traffic and performance factors, as well as to the analysis of corporate culture and brand identity. The results indicate that these companies are consistent with digital communication strategies typical of B2B models, that is, emerging and highly specialised companies. In the corporate sphere, there is generally a strong focus on positioning within a framework that fosters organisational culture, employee recognition and the key elements of effective brand architecture. Full article

This study implements a Data Envelopment Analysis (DEA) under both input- and output-orientation specifications to measure tourism technical eco-efficiencies and changes in total factor productivity for Eurozone countries from 1996 to 2019. Instead of employing hotel-specific measures or traditional proxies like length of stay or occupancy rate, this study relies on the heterogeneous nature of tourism, namely business and leisure tourism spending, distinguishing between international and domestic visits. Despite their significance for capturing the macroeconomic dynamics of tourism and interactions with the environment, this set of variables is rarely reported in the relevant literature. Efficiency and productivity scores are subsequently examined within a panel regression framework to evaluate the role of renewable energy adoption. The slack analysis reveals input excess and desirable output shortfalls, indicating structural inefficiencies in resource allocation and production performance. Regression findings suggest that the impact of renewables on tourism efficiency and productivity is regime-dependent, while panel causality tests evidence the neutrality hypothesis. The results underscore the need to improve air quality, resource allocation mechanisms, enhance sustainable sector-specific productivity strategies, and accelerate renewable transition policies. Full article

This paper examines the state of the academic literature on the development of after-sales and maintenance services for electric vehicles (EVs), highlighting their critical yet underexplored role in the transition to electrified mobility. Against the backdrop of rising EV sales, this study investigates how service ecosystems influence long-term adoption. A systematic review was conducted to identify recurring themes, barriers, and proposed solutions related to EV maintenance and after-sales systems. The findings indicate that, despite lower mechanical complexity compared to internal combustion vehicles, EVs generate new service demands due to their reliance on electronics, software, and high-voltage systems. Key barriers to EV adoption include high purchase costs, limited charging infrastructure, and shortages of skilled technicians, which collectively affect consumer confidence beyond the point of acquisition. The analysis shows that after-sales services constitute both a technical and economic bottleneck in large-scale EV diffusion. The existing literature predominantly emphasizes theoretical solutions, such as digitalized maintenance and data-driven business models, with limited focus on practical implementation strategies. This paper concludes that sustainable EV adoption depends not only on technological and infrastructural progress but also on workforce adaptation, proposing a transitional management framework to support independent workshops in shifting toward fully electric service operations. Full article