Search Results (2,811)

This study examines how heritage-based small and medium enterprises (SMEs) cope with economic shocks and institutional constraints in a semi-urban context. The study focuses on identifying context-specific barriers that shape SME growth and sustainability in heritage-based, semi-urban settings. Using a mixed-methods design, survey data from 200 SMEs were analyzed with PLS-SEM, and 20 semi-structured interviews were examined through thematic analysis, collected in Kashan, Iran (March–May 2025). We find that inflation and limited access to finance are the primary barriers to firm growth, followed by regulatory delays and administrative complexity. Qualitative findings reveal five recurring adaptive routines, short-cycle cash management, cooperative input purchasing, product simplification/micro-pivoting, reliance on local networks, and minimalist digitalization, that operate in a discernible temporal sequence to sustain firm continuity. By integrating resource-based and institutional perspectives, the paper advances meso-level theorizing on SME resilience and proposes a set of low-cost, actionable policy measures (e.g., streamlined e-licensing, targeted mobile microfinance, and buyer–supplier matchmaking) for local authorities and development practitioners. 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

In smart manufacturing, the injection molding industry faces a “data scarce environment” due to prohibitive physical trial costs. Processing recycled polypropylene (rPP) exacerbates this challenge, as traditional response surface methodology (RSM) fails to capture complex non-linear rheological behaviors induced by material variability. This study proposes a “domain-knowledge guided data augmentation framework,” integrating Taguchi experimental data (L₂₅) with Moldex3D digital twin simulations to construct a 300-sample hybrid dataset. A back-propagation neural network (BPNN) with L₂ regularization was employed for small-sample learning, providing a continuous differentiable physical mapping. To rigorously prevent neighborhood data leakage, the model was evaluated via a strict nested group-based 5-fold cross-validation. Particle swarm optimization (PSO) was coupled to overcome the local minima of gradient descent. Comparative analysis demonstrates that BPNN significantly outperforms both traditional RSM and a newly introduced Random Forest (RF) baseline, achieving a testing mean squared error (MSE) of 0.001 (±0.0002) and a testing R² of 0.95. PSO minimized the shrinkage rate to 3.079%, validated via Moldex3D digital twin simulation with a 0.19% relative error. Synergizing virtual–physical integration with robust neural computing enables superior process control precision in small-data regimes, offering small and medium-sized enterprises (SMEs) a cost-effective pathway for smart optimization. Full article

As China advances high-quality agricultural development, promoting green production among farmers has become an important policy priority. Using survey data from 1787 rice farmers in seven major rice-producing provinces in southern China, this study examines whether enterprise-led contract farming can promote farmers’ green production behavior. Green production behavior is measured by a composite index based on six practices, including green control technology, soil testing and formulated fertilization, organic fertilizer substitution, water-saving irrigation, agricultural film recycling, and straw return. Empirical analysis results show that enterprise-led contract farming can significantly promote farmers’ green production behavior. Further analysis suggests that food safety certification, planting technology training, and lower perceived price volatility are important pathways through which contract farming is linked to green production practices. The promoting effect is weaker among older farmers, stronger for farmers cultivating land with medium soil fertility, and more pronounced among small-scale rice farmers. These findings highlight the role of enterprise-led contract farming in promoting farmers’ green production and offer policy implications for encouraging wider participation in green production practices. Full article

The development of digital capability for resilience remains a major challenge for small and medium-sized enterprises (SMEs). Drawing on dynamic capability theory (DCT), this research develops and tests a model linking artificial intelligence capabilities (AIC), digital platform capabilities (DPC), sustainable innovation (SI) and SME resilience (R). The data were collected from 321 Saudi SMEs and analysed using SmartPLS for structural equation modelling. Findings confirm AIC’s mediating effect on both SI and R. Additionally, the results support the conclusion that the DPC developed through AI mediates only the relationship between AIC and SI. Moreover, the sequential parallel mediating model confirms the complementary roles of DPC and dynamic capabilities in linking AIC to SI and R. The validated model offers a practical framework for operations managers seeking to enhance resilience and sustainability and to extend this effect to the corresponding mechanisms linking AIC, SI, and R. In fact, this study clarifies a digital capability pathway in SMEs. In terms of managerial implications, it highlights the importance of AI-driven capabilities as a strategic priority. However, the use of cross-sectional data and a sectoral scope can limit the research contributions and suggest new directions for future longitudinal and cross-country research. Full article

The green innovation bubble refers to the phenomenon of a “decoupling between patent quantity and quality” that may arise as firms respond to climate risks, posing a potential threat to the effectiveness of green innovation and sustainable development. Based on data from Chinese A-share listed companies from 2015 to 2023, this study examines the impact of climate risk on corporate green innovation bubbles, as well as the underlying transmission mechanisms and boundary conditions, from the perspective of strategic response. The findings indicate that there is a significant positive association between climate risk and the corporate green innovation bubble. Mechanism tests reveal that this effect operates primarily through three mediating channels: increased attention from green investors, amplified ESG rating divergence, and greater analyst coverage. These factors collectively incentivize firms to engage in “strategic green innovation” in response to external pressures. Heterogeneity analysis shows that the effect of climate risk on the green innovation bubble is more pronounced among small and medium-sized enterprises, firms with relatively optimistic investor sentiment, and firms with stronger ESG performance. Moderation analysis further demonstrates that robust internal controls can effectively mitigate the aggravating effect of climate risk on the green innovation bubble. This study uncovers the formation mechanism underlying the coexistence of “quantity expansion” and “quality lag” in corporate green innovation under climate risk. It provides both theoretical and empirical evidence for identifying and addressing innovation bubbles during the green transition, offering policy insights for improving green innovation incentive mechanisms and reducing greenwashing risks. Full article

Computer numerical control (CNC) machining process simulation is increasingly central to intelligent manufacturing, yet its deployment in brownfield environments remains constrained by legacy controllers, heterogeneous data semantics, limited computational resources, and rising cybersecurity requirements. While digital twins (DTs), artificial intelligence (AI), and multi-physics simulation have matured conceptually, practical adoption, particularly among small and medium-sized enterprises (SMEs), continues to lag behind theoretical capability. This paper presents a PRISMA-guided systematic review of peer-reviewed literature, standards, and industrial reports published between 2019 and 2025, focusing on CNC machining simulation, digital twin architectures, interoperability standards, and intelligent optimisation under brownfield constraints. Rather than proposing new simulation algorithms, the review synthesises fragmented evidence into a deployable, standards-aligned integration perspective. The review consolidates prior work into a seven-layer architecture grounded in ISO 23247, explicitly separating sensing, communication, digital twin entities, analytics, and human–machine interaction. It derives practical decision rules for middleware selection, edge-cloud compute placement under latency constraints, and modelling strategy selection, ranging from mechanistic and finite-element methods to hybrid reduced-order and machine-learning surrogates. An SME-oriented implementation and validation roadmap links staged retrofitting to measurable operational indicators, including overall equipment effectiveness, first-pass yield, downtime, cycle time, and energy intensity. Full article

The escalating prominence of environmental, social, and governance (ESG) criteria within contemporary corporate practice has generated a proliferation of measurement and reporting frameworks, creating substantial challenges regarding comparability and standardisation. This study aimed to critically analyse and synthesise the scholarly literature on ESG measurement and reporting frameworks from an accounting perspective. A systematic review adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines was conducted, searching Scopus, ScienceDirect, and Web of Science databases for the period 2020–2025, yielding a final corpus of 50 peer-reviewed articles. Findings reveal that Stakeholder Theory and Institutional Theory constitute the predominant conceptual underpinnings, with three framework categories identified: measurement, reporting, and integrated approaches. The analysis evidenced persistent methodological heterogeneity among ESG metrics and considerable variation in achieved comparability levels. Notably, the governance dimension remains underdeveloped relative to environmental and social dimensions, and small and medium-sized enterprises continue to be underrepresented despite their economic significance. This review contributes by providing a classification of ESG frameworks and their theoretical foundations, whilst identifying gaps that delineate avenues for future inquiry. Full article

This study investigates the impact of oil prices and exchange rates on the manufacturing output of small and medium-sized enterprises (SMEs) in Kazakhstan using data from the period 2000 to 2023, within the framework of the ARDL model. In the Kazakhstani economy, approximately 60% of SMEs operate in the wholesale and retail trade sectors, a factor that has been taken into consideration in interpreting the effects of macroeconomic variables on SME output. The results of the long-run analysis reveal that the exchange rate has a significant and strong positive effect on SME manufacturing output. Although oil prices do not directly exert a statistically significant influence on production output, the study identifies an indirect effect of oil revenues on SME output via the exchange rate channel. In the short-run findings, both exchange rates and oil prices are found to have significant effects on production output; in particular, oil prices exhibit a positive impact in the short term, which partially reverses in subsequent periods. The error correction term indicates a rapid adjustment back to equilibrium in the long run. These results highlight the high sensitivity of SME production performance in Kazakhstan to exchange rate fluctuations and underscore the indirect influence of oil prices through exchange rate movements. The study recommends enhancing the financial resilience of SMEs, minimizing exchange rate risks, and closely monitoring changes in energy prices. Furthermore, it suggests the development of policies aimed at promoting SMEs’ involvement in foreign currency-generating activities, as well as protecting enterprises in the wholesale and retail sectors against price volatility. In this context, the study makes a valuable contribution by providing a comprehensive evaluation of the effects of macroeconomic variables on SME manufacturing output. Full article

Enhancing the resilience of real-economy firms is essential to sustainable development because firms must not only absorb shocks but also maintain long-term adaptive and renewal capacity. Against this background, this study examines whether insurance institutional ownership, as a form of patient capital, is systematically associated with corporate resilience. Using panel data for Chinese A-share listed firms from 2008 to 2024, we construct a multidimensional corporate resilience index based on risk resistance, adaptive recovery, and renewal and development and estimate two-way fixed-effects models. The results show that insurance ownership is positively associated with the baseline corporate resilience index, and this pattern remains qualitatively similar when we examine stock-return volatility, financial performance growth, and a stricter capability-oriented resilience index. The positive association is stronger for state-owned enterprises, small firms, non-manufacturing firms, and firms located in northern China. Channel analysis suggests that insurance ownership is associated with lower agency costs, stronger internal controls, greater external scrutiny, and lower financing constraints, patterns that are consistent with the proposed channels linking insurance ownership to corporate resilience. Further analyses show that higher insurance ownership and increases in insurance holdings are associated with stronger resilience, whereas decreases in holdings are associated with weaker resilience. Long holding duration is negatively associated with resilience, suggesting that performance-evaluation pressure may weaken the long-term governance role of insurance capital. Overall, the findings suggest that insurance investors may support corporate resilience and, when governance incentives and evaluation mechanisms are appropriately aligned, contribute to the sustainable development of the real economy. Full article

Due to acute resource constraints and environmental turbulence, many small and medium-sized construction enterprises (SMEs) prioritize short-term survival over corporate social responsibility (CSR) initiatives. Grounded in social exchange theory (SET), this study investigates how CSR implementation drives financial performance (FP) via the mediating role of non-financial performance (NP), aiming to deconstruct the “psychological black box” of this transformation. Drawing on a sequential mixed-methods design involving PLS-SEM analysis of 380 responses and 10 semi-structured interviews, the results confirm that CSR practices, particularly ethical practices and community engagement, can be effectively translated into improved NP, which acts as a vital strategic conduit for enhancing FP. However, skills development and training showed limited immediate impact due to a systemic “digital mismatch” and significant time-lag effects. Theoretically, this research refines SET by identifying a hierarchical transition where socio-emotional assets serve as compensatory resources in volatile and resource-constrained environments. Practically, the findings offer a strategic roadmap for SMEs to mitigate technological and systemic barriers, providing novel pathways for fostering CSR to achieve sustainable growth. Full article

This paper evaluates a Sustainable Energy Efficiency Business Model (SEEBM) for small and medium sized enterprises (SMEs) in the European industrial sector. The sustainability-oriented model, developed by the authors, combines Energy Performance Contracting (EPC), Energy Supply Contracting (ESC), and Energy Saving Insurance (ESI) within a unified framework to support industrial decarbonisation. The study identifies key performance indicators and translates them into a System Dynamics model using a Design-Based Research approach. The model is built from secondary data drawn from 45 SME case studies in the European SMEmPower project and is validated through extreme condition testing and behavioural sensitivity analysis. Results indicate that the integrated model significantly enhances financial performance, reducing the average payback period from average 36 months to 10 months. Sensitivity analysis highlights the influence of contract duration, energy saving rates, and energy prices on both payback and emissions reduction outcomes. This research introduces a novel dynamic framework integrating EPC, ESC, and ESI, enabling time-based evaluation of investment viability and environmental impact. It offers a replicable decision support tool for policymakers and market actors seeking scalable, low risk pathways to SME decarbonisation. Overall, the model provides practical insights for improving investment decisions while accelerating the transition toward sustainable industrial systems across Europe. Full article

This study addresses the growing need for structured, measurable organizational development (OD) models amid digital transformation, geopolitical uncertainty, and increasing managerial complexity. Contemporary middle- and top-level managers are expected to ensure productivity, strategic clarity, resilience, and data-driven decision-making; however, existing leadership methodologies are often examined separately and lack integrated evaluation frameworks. The research analyses two prominent approaches: the American Action Science methodology and the Scandinavian (particularly Finnish) consensus-based leadership concept. While Action Science emphasizes explicit reasoning, double-loop learning, accountability, and measurable performance outcomes, the Finnish consensus model prioritizes trust, participation, and relational cohesion. The aim of the study is to develop and empirically test the original digital model LeadWinO (LEADership for WINning Organizations) for evaluating the organizational development activities of middle- and top-level managers. The model was empirically tested on managers in Lithuania. The novelty of the research lies in combining management and informatics perspectives by embedding organizational development evaluation into a digital, indicator-based, and potentially predictive framework. The type of study is quantitative research integrating questionnaire analysis in the case of multi-profile sections. Analytical tool used for data simulation is Feedforward Neural Network for constructing sufficient gapless sets of digitalized data. Research results showed that the American Action Science methodology is most effectively used by managers working in very small and small enterprises in the service and maintenance sectors. The findings are expected to contribute to the operationalization of leadership effectiveness under uncertainty and provide organizations with an auditable structure linking managerial behaviour, decision-making processes, and organizational performance outcomes. Full article

This article advances a critical rethinking of digital transformation in craft-based and socially embedded production systems by examining ateliers of social integration as community-led solidarity spaces where sewing and embroidery practices intersect with relational, care-oriented, and collective dimensions. Existing debates on digitalisation remain largely centred on automation, scale, and efficiency, overlooking how technology operates within care-based and territorially embedded economies. To address this gap, the article develops an alternative analytical framework grounded in relational economies and the ethics of care. While the phenomenon is transnational, the empirical analysis focuses on the Italian context and draws on data from CreAbility, an ongoing action-research project aimed at building a digital community of micro and small fashion enterprises, associations, and designers characterized by social and cultural impact. Against dominant, scale-oriented models of innovation, the article conceptualises ateliers of social integration as relational ecosystems in which value is co-produced through social ties, inclusion practices, and localized knowledge. From this perspective, digital technologies serve as situated mediators that extend and amplify proximity-based relations. This reframing challenges linear and growth-centred accounts of digital innovation, instead proposing a non-linear, care-centred, and place-based model of digital transformation. Methodologically, the study adopts a mixed-methods design combining quantitative and qualitative techniques. Data were collected between June and July 2025 through an online questionnaire distributed to a broader population of Italian ateliers of social integration and were complemented by participatory focus groups involving organisational representatives. The findings show that these ateliers operate as infrastructures of proximity in which production, care, and community are co-constitutive, and where digital practices support forms of extended embeddedness rather than substitution. In doing so, the article contributes to debates on digitalisation, social innovation, and the care economy by showing how alternative, relational, and non-scalable models of production can reshape the meaning and the trajectories of innovation. Full article

As the foreign direct investment (FDI)-driven catch-up model of eight Central and Eastern European (CEE-8) economies approaches its limits, strengthening the export capacity of small and medium-sized enterprises (SME) may play an important role in sustaining economic convergence within the European Union (EU). Despite deep integration into EU production networks, domestic SME participation in international trade remains limited. In this context, digitalization is increasingly seen as a factor that may reduce information, coordination, and administrative barriers associated with SME cross-border trade. This study examines how different dimensions of digitalization relate to intra-EU export performance of SMEs in the CEE-8, conceptualizing digitalization across three distinct but interacting layers: firm-level digital adoption, societal digital usage, and the institutional digital environment. Using a balanced panel dataset covering 2018–2023, the analysis employs a one-way fixed-effects estimator with wild cluster bootstrap inference to address the small-cluster setting. Results indicate that societal digital usage and digital public services for businesses are strongly and positively associated with SME intra-EU export performance. Firm-level digitalization shows a more complex pattern: internal digital tools display delayed positive associations after a maturation period, while e-commerce participation is consistently negatively associated with aggregate export volumes. Robustness checks using Driscoll-Kraay standard errors and alternative functional forms confirm the stability of the core findings. The results suggest that strengthening digital foundations and reducing cross-border digital frictions can support more effective CEE-8 SME participation in the EU Single Market. Full article