Search Results (243)

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

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

This study investigates the Business Model Canvas (BMC) as a visual education tool within a training pathway aimed at enhancing human capital in inner areas. Using a qualitative case study involving 22 participants, data were collected through observations, analysis of four canvases, trainers’ reflections, and jury evaluations. Findings show that the BMC reduces cognitive load, supports distributed cognition, and fosters reflexivity, creativity, and collaborative learning. Moreover, it enables the development of entrepreneurial and strategic skills, contributing to social innovation and sustainable territorial development. Full article

Artificial intelligence (AI) has become a central driver of transformation in innovation management, reshaping how organizations design strategies, develop offerings, and generate knowledge. This study examines how innovation management has evolved from the pre-ChatGPT era—characterized by analytics, automation, and decision support—to the post-ChatGPT period, marked by the widespread adoption of generative AI (GenAI) and human–AI collaboration. Using a structured literature review of Scopus-indexed studies published between 2020 and 2025, the paper identifies the following six dominant thematic dimensions of AI-enabled innovation management: strategic and business model innovation, product and service innovation, sustainability-oriented innovation, organizational agility and capabilities, human-centric innovation, and knowledge, learning, and research. The findings reveal a conceptual shift from efficiency-driven applications toward more creative, strategic, and collaborative uses of AI, with generative models acting as co-creators rather than mere analytical tools. The study contributes by synthesizing the fragmented literature into an integrative framework that captures this transition and by highlighting emerging research gaps, particularly in sustainability and human-centered innovation. Practical implications for managers and policymakers are discussed. Full article

The digital economy (DE) is increasingly associated with higher carbon productivity (CP) and is widely regarded as an important factor in efforts to achieve the dual-carbon goals. However, the formulation of differentiated policies is constrained by a limited understanding of the multi-factor collaborative mechanisms and their asymmetric configurational pathways. This study combines the GMDH algorithm with the fsQCA approach to explore the multiple sufficient paths for high carbon productivity. Through feature selection and nonlinear modeling, the GMDH algorithm identifies five key variables associated with CP: the industrial robot permeability, software business development, digital innovation input, the usage depth of digital finance, and mobile communication facilities. The fsQCA method reveals that three configurational pathways consistent with higher levels of CP: the “innovation and finance-driven model” represented by Sichuan and Hunan, the “innovation-assisted digital industrialization model” represented by Henan and Hebei, and the “industry digitalization first developing model” represented by Jiangxi, Guangdong, Zhejiang, and Shanghai. Considering the uneven regional development across China, this study further categorizes provinces into four regional development types: innovation and finance-driven, digital industry empowerment, industrial digitalization leadership, and potential cultivation. Correspondingly, tailored policy recommendations are proposed for each region, providing practical insights consistent with the observed configurational patterns for improving CP in the context of DE development. Full article

Business schools, and universities more generally, find themselves within a constant tension between different and often conflicting institutional logics. Scholars have identified two primary and coexisting institutional logics in particular—an academic logic and a market logic—that universities must reconcile. To date, however, we still know little about how university leaders navigate persistent frictions between these institutional logics. To fill this gap, we conduct a grounded qualitative study of business schools’ top leaders who have recently introduced new revenue-generating programs. We develop a process model of institutional alignment that explains how leaders navigate and resolve tensions between competing logics over time. Our aim was to explore how these administrative leaders navigated frictions across institutional logics throughout the process of introducing, motivating, developing, and implementing these programs. We find that frictions between the competing institutional logics were indeed prominent in decision-makers’ minds and actions throughout the entire process. These frictions occurred at various levels, both within and outside the business school. To reduce these frictions, leaders describe employing adaptive strategies such as framing, collaboration, and structural adjustments to align the logics and position the new program as consistent with both. That is, the new programs are interpreted as institutional innovations that serve to align the logics. Full article

The transition toward circular economy (CE) systems is essential for improving resource efficiency and sustainability performance in industrial production. However, small and medium-sized enterprises (SMEs) face structural barriers that limit the adoption of circular practices and business model innovation. This study examines the systemic drivers shaping circular transitions in timber-based SMEs within an industrial cluster in northern Mexico. The research integrates the Matrix of Cross-Impact Multiplications Applied to Classification (MICMAC) structural analysis with the Circular Business Model Canvas (CBMC) to analyze influence–dependence relationships among key barriers and their implications for business model transformation. Empirical data were collected from 32 SMEs using structured surveys and expert consultation. The results suggest that financial constraints, technological limitations, and weak collaboration networks act as dominant systemic drivers. The CBMC assessment indicates an average implementation level of 45%, with high variability across firms (31–99%), reflecting fragmented and early-stage circular transition patterns. By linking structural diagnostics with business model components, the study identifies strategic leverage points and potential intervention pathways. The findings contribute to CE research by providing a systematic and replicable analytical framework, as well as insights for understanding circular bioeconomy transitions in SME-based industrial clusters. Full article

Against the background of the acceleration of the integration of the “double carbon” target and transportation energy, the green transformation and business model innovation of highway service areas, as a high-energy-consumption traffic node, are becoming more and more urgent. However, the existing research focuses on a single technology path, and lacks a systematic quantitative evaluation of the “PV–charging–new format” coordination mechanism and its operating efficiency. Therefore, this paper proposes a collaborative framework that integrates photovoltaic power generation, new energy charging piles, and diversified new formats, and introduces a random forest regression algorithm. Based on the actual operation data of the Guangxi expressway service area, the synergistic effect and regional heterogeneity of multiple factors are systematically evaluated. The results show that a photovoltaic system can reduce the unit electricity price by 25–35%, and the investment recovery period is about 7 years. When the penetration rate of charging piles increases to 35%, the annual income can reach CNY 3.285 million, and the return on investment increases to 2.3 times when the utilization rate exceeds 80%. The new business combination can increase the average daily income by 13.3–26.7%. At the same time, the coordinated implementation of the three elements can achieve an annual net income increase of 27–32%, which is better than the linear superposition of the benefits of a single measure. In addition, the analysis of regional heterogeneity shows that the photovoltaic benefit in the western mountainous area is outstanding, the charging benefit in the coastal area is significant, and the comprehensive benefit in the central hub area is the best. This study provides a quantitative basis to support decisions on the differentiated development path of expressway service areas in the background of traffic–energy integration. Full article

This systematic review examines how digital technologies enable circular economy (CE) transitions across sectors and value chains. Analysing 266 peer-reviewed publications (2016–2025), we develop a comprehensive taxonomy of digital enablers—including IoT, AI, blockchain, cloud computing, additive manufacturing, and digital platforms—and map their applications to circular strategies such as reuse, remanufacturing, and recycling. Our findings reveal that data-driven technologies dominate CE implementation, with 89% of studies involving data collection, storage, analysis, or sharing functions. IoT emerges as the foundational technology for real-time tracking and monitoring, while AI and big data analytics optimise circular processes and predict maintenance needs. Blockchain ensures traceability and trust in circular supply chains, and cloud computing provides scalable infrastructure for collaboration. Manufacturing (41%) and construction (15.5%) are the most studied sectors, with strong European research leadership reflecting policy drivers such as Digital Product Passports. We identify three impact types: enabling (process optimisation), disruptive (business model innovation), and facilitating (ecosystem collaboration). Key barriers include technical complexity, organisational resistance, high implementation costs, and regulatory gaps. The review concludes with recommendations for integrated, multi-stakeholder approaches to realise a digitally enabled circular economy. Full article

Higher education institutions are expected to cultivate graduates capable of addressing sustainability challenges through innovation, collaboration, and digital competence. However, many business programs struggle to integrate experiential authenticity, intelligent technologies, and collaborative learning into coherent instructional models, limiting students’ intrinsic motivation and sustainability-oriented competence development. This study aims to examine how experiential learning, artificial intelligence-assisted collaborative learning, and team-based learning operate within the Conceive–Design–Implement–Operate instructional framework to influence learning interest and learning satisfaction in a sustainability-oriented business course. Survey data from 217 undergraduate students were analyzed using confirmatory factor analysis, structural equation modeling, and moderated regression analysis. The results indicate that both experiential and AI-supported collaborative learning positively enhance students’ learning interest, which partially mediates their effects on learning satisfaction. Team-based learning strengthens the experiential pathway but does not significantly moderate the AI-assisted pathway. These findings clarify differentiated motivational mechanisms within structured instructional systems and provide theoretical support for designing digitally enhanced sustainability education. Full article

The transition towards circular economy models increasingly depends on entrepreneurial initiatives capable of integrating economic viability with social and environmental objectives. However, existing research provides limited explanation of how sustainable entrepreneurs mobilise shared knowledge and social innovation to navigate tensions between competing institutional logics in circular contexts. This study clarifies the role of shared knowledge and social innovation by explaining how circular sustainable value is created through circular business model development. This article develops an integrative framework based on a structured synthesis of the literature on sustainable entrepreneurship, social innovation, shared knowledge, institutional logic, and circular business models. The study does not rely on primary empirical data but focuses on theoretical integration across complementary research to advance conceptual understanding of circular value creation. The article proposes a three-stage framework explaining how shared knowledge is transformed into circular sustainable value through social innovation mechanisms. It illustrates how diverse knowledge inputs interact with institutional logics, how social innovation processes translate these inputs into collaborative practices, and how circular business models generate multidimensional value under conditions of institutional complexity. The framework offers guidance for entrepreneurs, policymakers, and ecosystem actors involved in circular economy transitions and helps clarify how collaborative knowledge practices and social innovation processes can support the design and implementation of circular business models. This article does not empirically test the proposed framework. The findings are limited to theoretical development. Future research is encouraged to examine the framework empirically through longitudinal case studies, comparative designs, or mixed-method approaches, and to operationalise its key constructs. Full article

This research investigates the role of sheep’s wool as a strategic bio-based material for the construction industry and for built heritage. Using a systemic approach, this research analyzes the potential of wool as a circular resource capable of integrating technological innovation, environmental sustainability, and territorial enhancement. The sustainability of the supply chain depends on the proximity of resources and the efficiency of production processes. In this context, the Italian National Observatory for the Sustainable Production of Italian Wool (FiLA) promotes systemic change through the creation of collaborative networks between supply chain actors. The mapping encompassed more than 200 supply chain actors, including 169 domestic and 31 international entities. The analysis identified 108,061 sheep farms in Italy, of which only 251 declared wool production as a business objective. The main challenges include technological innovation to compete with synthetic materials, the regulatory revision that currently classifies waste wool as special waste, and the development of systems that facilitate integration into contemporary construction processes. The results show that the use of sheep’s wool, also integrated with digital mapping approaches, can generate new local circular economies. Future developments can focus on optimizing processes, standardizing systems, and experimenting with business models that value sustainability and territoriality. Full article

The circular economy (CE) has emerged as a compelling alternative to the dominant linear “take–make–waste” model, which has contributed to environmental degradation, resource scarcity, and social inequalities across global value chains. By emphasizing the reduction in waste, the circulation of products and materials at their highest value, and the regeneration of natural systems, CE offers a pathway toward more sustainable and resilient forms of production and consumption. Despite its growing prominence, organizational implementation of CE remains uneven and challenging. This paper synthesizes current developments on CE implementation in business, with particular attention to environmental, economic, and social dimensions. Building on this synthesis, the paper identifies key internal and external challenges and proposes a practical framework outlining seven transition steps for organizations, ranging from strategic commitment and governance to monitoring and continuous improvement. Two case vignettes from the consumer goods and fashion industries illustrate how firms implement circular principles through business model innovation, supply-chain collaboration, and consumer engagement, while also highlighting ongoing limitations and trade-offs. Overall, the paper demonstrates that while the transition to a circular economy is complex, it is achievable through coordinated organizational change, stakeholder involvement, and systemic innovation, offering benefits for businesses, society, and the environment. Full article

Start-ups, as newly established firms centred on innovative ideas, rely heavily on their capacity for innovation from the earliest stages. This study examines the determinants of innovation in Polish start-ups, addressing a gap in research regarding the factors that shape innovative activity in this context. Survey data were collected from 200 Polish start-ups, and multivariate regression analysis was applied to assess both internal and external influences, including founders’ business experience, team mobility, educational background, company reputation, financial resources, partnerships, and participation in regional innovation ecosystems. Using generalized additive models, the study reveals nonlinear and saturating effects of experience and ecosystem engagement on start-up innovation. The results indicate that founders’ years of business experience and the extent of ecosystem partnerships are significant predictors of innovation. Collaborations with universities and research institutions have a stronger impact on disruptive innovation than partnerships with suppliers or clients. Access to financial resources, particularly in early stages, supports R&D activities and competitive advantage. These findings suggest that innovation drivers are context-dependent, with regional infrastructure such as incubators, educational support, and ecosystem engagement playing important roles. The study contributes to understanding how individual entrepreneurial characteristics interact with external conditions to foster innovation and provides insights for policymakers and stakeholders seeking to enhance start-up innovation and economic growth. Full article

Focusing on the digital preservation and management of Lingnan modern historical gardens, this study proposes and practices a full-process framework of landscape information modeling (LIM), integrating multi-source data collection, information integration and business collaboration in view of the three major challenges of insufficient overall records, regional information integration difficulties, and disconnection between digitalization and management practice. Its innovation lies in the fusion of ground/handheld laser scanning and 3D Gaussian splash technology to cope with the complex environment of buildings, vegetation and topography, and achieve high-precision interpretation of modern historical garden elements in Lingnan for the first time. On this basis, The study established the first regional heritage information platform integrating a cloud-based information management system with a game engine, incorporating local protection rules. In this study, application modules such as preventive preservation, emergency response, and assessment and repair for daily management are further developed, and the synergy between technical capabilities and management needs is initially realized. On the practical surface, the framework achievements realize the analysis of complex historical garden elements and control the accuracy within 4 mm, and the platform effectively integrates 5 types of multi-source data and connects the link from data to management. This study provides a set of reusable digital preservation and management methodologies for the sustainable protection and refined management of Lingnan and even similar historical gardens. Full article