Search Results (175)

The construction and enhancement of ecological niches are essential for small and medium-sized enterprises (SMEs), with digital platforms serving as key carriers for achieving niche improvement. However, SMEs encounter a “distinctiveness–conformity” paradox when leveraging digital platforms: they are expected to sustain differentiation to attract resource tilt while simultaneously integrating into the platform ecosystem to obtain a sense of belonging and complementary resources. Grounded in optimal distinctiveness theory, this study analyzes questionnaire data from 383 Chinese SMEs embedded in digital platforms. Results show that digital platform capabilities (integration and reconfiguration) enhance SMEs ecological niches through organizational agility and platform eco-embeddedness. Polynomial regression and response surface analyses reveal that balanced improvement in organizational agility and eco-embeddedness significantly strengthens niche enhancement, whereas imbalance between the two weakens it. This research clarifies how SMEs leverage digital platform capabilities to advance their ecological niches, offering theoretical and practical insights for achieving strategic balance between distinctiveness and conformity in digital platform ecosystems. Full article

The construction sector is under growing pressure to transition from linear, resource-intensive models to regenerative, circular practices. While Circular Economy (CE), Building Information Modelling (BIM), and Agile Project Management (APM) are each recognized for their potential to improve sustainability, their combined application in construction remains underexplored, particularly among small- and medium-sized enterprises (SMEs). In this study, we propose a conceptual framework integrating CE as a strategic objective, APM as the procedural methodology, and BIM as the digital enabler to foster circular practices in construction. Unlike previous studies, this research empirically integrates CE, BIM, and APM into a single coherent framework tailored specifically for SMEs. The framework is informed by secondary analysis of the BLOOM project dataset (n = 153) and a targeted readiness survey (n = 98) conducted among SMEs in the Mediterranean and Central European regions. The findings reveal a significant gap between awareness and implementation: while over 75% of respondents are familiar with CE and 63% use BIM tools, only 19% demonstrate readiness to integrate all three approaches. The main barriers—training gaps, regulatory ambiguity, and digital immaturity—are explored in detail. This study contributes by introducing a five-pillar framework and by identifying and analysing specific barriers that SMEs face when integrating CE–APM–BIM practices. Nevertheless, strong conceptual alignment exists, with over 80% agreeing on the potential of CE–Agile–BIM synergy. This study offers actionable insights into overcoming adoption barriers and emphasizes the need for policy-driven pilot projects, peer learning, and tailored capacity building to foster regenerative construction practices. Full article

The surveying industry, often operating in high-risk environments such as construction sites and transport corridors, currently lacks a standardized framework for estimating and allocating safety management costs. This study proposes a dual-mode safety cost framework designed to address this gap, combining a rate-based model for routine projects with an actual-cost model for complex operations requiring detailed labor, equipment, and safety cost estimation. Employing a mixed-methods approach—comprising regulatory analysis, a nationwide survey (n = 63), and expert interviews (n = 4)—we assess the feasibility and institutional applicability of this framework. Our findings highlight persistent issues in safety budgeting practices, including inconsistent safety protocols, lack of designated safety personnel, and limited training programs. In response, we developed a draft guideline to standardize safety measures across project phases, with criteria for personnel allocation, safety equipment selection, and training schedules. Simulation analyses show that the rate-based model, when applied at 3.5% of the total project costs, simplifies budgeting for routine projects. In contrast, the actual-cost model offers more precise budgeting for high-risk projects, typically accounting for 6–7% of costs depending on complexity. This scalable and adaptable framework is particularly relevant for small and medium-sized enterprises (SMEs) and technical service contracts. More broadly, it offers a transferable foundation for integrating safety cost estimation into public infrastructure projects and digital construction workflows, providing a critical policy tool for contexts worldwide that lack formalized safety cost systems. Full article

Governments worldwide are mandating e-invoicing and real-time VAT reporting, yet many cash-intensive service SMEs continue to under-report VAT, eroding fiscal revenues. This study investigates whether financial technology (FinTech) adoption can reduce this under-reporting among tourism SMEs in Greece—an economy with high seasonal spending and a persistent shadow economy. This is the first micro-level empirical study to examine how FinTech tools affect VAT compliance in this sector, offering novel insights into how technology interacts with behavioral factors to influence fiscal behavior. Drawing on the Technology Acceptance Model, deterrence theory, and behavioral tax compliance frameworks, we surveyed 214 hotels, guesthouses, and tour operators across Greece’s main tourism regions. A structured questionnaire measured five constructs: FinTech adoption, VAT compliance behavior, tax morale, perceived audit probability, and financial performance. Using Partial Least Squares Structural Equation Modeling and bootstrapped moderation–mediation analysis, we find that FinTech adoption significantly improves declared VAT, with compliance fully mediating its impact on financial outcomes. The effect is especially strong among businesses led by owners with high tax morale or strong perceptions of audit risk. These findings suggest that FinTech tools function both as efficiency enablers and behavioral nudges. The results support targeted policy actions such as subsidies for e-invoicing, tax compliance training, and transparent audit communication. By integrating technological and psychological dimensions, the study contributes new evidence to the digital fiscal governance literature and offers a practical framework for narrowing the VAT gap in tourism-driven economies. Full article

This study examines the development of the digital economy and society in the Republic of Kazakhstan by combining international benchmarking with a context-specific national framework. It highlights the limitations of existing global indices such as DESI, NRI, and EGDI in capturing the structural and institutional dimensions of digital transformation in emerging economies. To address this gap, the study introduces a novel composite metric, the Index of Digital Economy Development (IDED), which integrates five sub-indices: infrastructure, usage, human capital, economic digitization, and transformation effectiveness. The methodology involves comparative index analysis, the construction of the IDED, and statistical validation through a public opinion survey and regression modeling. Key findings indicate that cybersecurity is a critical yet under-represented component of digital development, showing strong empirical correlations with DESI scores in benchmark countries. The results also highlight Kazakhstan’s strengths in digital public services and internet access, contrasted with weaknesses in business digitization and innovation. The proposed IDED offers a more comprehensive and policy-relevant tool for assessing digital progress in transitional economies. This study contributes to the literature by proposing a replicable index structure and providing empirical evidence for the inclusion of cybersecurity in national digital economy assessments. The aim of the study is to assess Kazakhstan’s digital economy development by addressing limitations in global measurement frameworks. Methodologically, it combines comparative index analysis, the construction of a national composite index (IDED), and statistical validation using a regional survey and regression analysis. The findings reveal both strengths and gaps in Kazakhstan’s digital landscape, particularly in cybersecurity and SME digitalization. The IDED introduces an innovative, context-sensitive framework that enhances the measurement of digital transformation in transitional economies. Full article

Against the backdrop of digital transformation, this study constructs an analytical framework for the influence mechanism of the data-driven dynamic capabilities of foreign trade SMEs from the perspective of digital intelligence immunity, aiming to clarify the complex relationships among influencing factors and multi-combination paths for capability improvement. The research employs the fuzzy AHP-DEMATEL method to quantify the complex influence relationships among factors and uses fsQCA to analyze the configuration paths of high-level data-driven dynamic capabilities. Results show that digital intelligence management and analysis, digital intelligence supervision and early warning, and digital intelligence ecosystem are key drivers of data-driven dynamic capabilities, with digital intelligence talents serving as a guarantee and digital foundation as a foundation. The study identifies the following two core paths for forming high-level capabilities: “management–talent–ecology collaboration” and “early warning–technology–mechanism enhancement.” It concludes that foreign trade SMEs should strengthen digital intelligence management and ecological construction, improve early warning mechanisms, and adopt multi-pronged approaches to build data-driven dynamic capabilities, providing a theoretical basis for their digital transformation and capability upgrading. Full article

A scheme of load frequency control (LFC) is proposed based on the deep deterministic policy gradient (DDPG) and active disturbance rejection control (ADRC) for multi-region interconnected power systems considering the renewable energy sources (RESs) and energy storage (ES). The dynamic models of multi-region interconnected power systems are analyzed, which provides a basis for the subsequent RES access. Superconducting magnetic energy storage (SMES) and capacitor energy storage (CES) are adopted due to their rapid response capabilities and fast charge–discharge characteristics. To stabilize the frequency fluctuation, a first-order ADRC is designed, utilizing the anti-perturbation estimation capability of the first-order ADRC to achieve effective control. In addition, the system states are estimated using a linear expansion state observer. Based on the output of the observer, the appropriate feedback control law is selected. The DDPG-ADRC parameter optimization model is constructed to adaptively adjust the control parameters of ADRC based on the target frequency deviation and power deviation. The actor and critic networks are continuously updated according to the actual system response to ensure stable system operation. Finally, the experiment demonstrated that the proposed method outperforms traditional methods across all performance indicators, particularly excelling in reducing adjustment time (45.8% decrease) and overshoot (60% reduction). Full article

With the shift of the global innovation model from traditional closed-loop to open ecosystems, knowledge sharing and collaborative cooperation among firms have become key to obtaining sustainable competitive advantages. However, existing studies mostly focus on the static structure, and there is an insufficient exploration of the dynamic evolutionary mechanism and multi-party game strategies. In this paper, a two-dimensional analysis framework integrating the evolutionary game and the Lotka–Volterra model is constructed to explore the behavioral and strategic evolution of core enterprises, SMEs and the government in the innovation ecosystem. Through theoretical modeling and numerical simulation, the effects of different variables on system stability are revealed. It is found that a moderately balanced benefit allocation can stimulate two-way knowledge sharing, while an over- or under-allocation ratio will inhibit the synergy efficiency of the system; a moderate difference in the knowledge stock can promote knowledge complementarity, but an over-concentration will lead to the monopoly and closure of the system; and the government subsidy needs to accurately match the cost of the openness of the enterprises with the potential benefits to the society, so as to avoid the incentive from being unused. Accordingly, it is suggested to optimize the competition structure among enterprises through the dynamic benefit distribution mechanism, knowledge sharing platform construction and classification subsidy policy, promote the evolution of the innovation ecosystem to a balanced state of mutual benefit and symbiosis, and provide theoretical basis and practical inspiration for the governance of the open innovation ecosystem. Full article

This study reframes closure intention in small- and medium-sized enterprises (SMEs) as an ex ante diagnostic signal rather than a post-mortem symptom of failure. The survey evidence from 385 Ecuadorian SMEs was analyzed in two stages; confirmatory factor analysis validated the scales capturing environmental pessimism and personal pressures, and a structural equation model confirmed that both latent constructs directly heighten exit propensity. A binomial logistic regression model correctly classified 71% of the cases and explained 30% of variance. Five variables proved decisive: low-level liquidity (OR = 0.84), a high debt-to-equity ratio (1.41), weak profitability (0.14), negative environmental perceptions (1.72), and a shorter operating tenure (0.91); the sector and the firm size were non-significant. The combined CFA-SEM-logit sequence yields practical early warning thresholds—debt-to-equity ratio > 1.4, current ratio < 1.0, and ROA < 0.15—that lenders, advisers, and entrepreneurs can embed in dashboards or credit screens. Recognizing closure intention as a rational, strategic step challenges the stigma surrounding exit and links financial distress and the strategic exit theory. Policymakers can use the findings to pair debt relief and liquidity programs with cognitive bias training that helps owners interpret risk signals realistically. For scholars, the results highlight closure intention as a dynamic learning process, especially pertinent in emerging economies characterized by informality and institutional fragility. Full article

Micro smart factories (MSFs) represent a new way for small and medium-sized enterprises (SMEs) to build smart factories. Intelligence and manufacturing are two important dimensions of intelligent manufacturing. However, there is still a gap in the research on the coordinated development of intelligence and manufacturing in MSF. Based on survey data from 93 SMEs in Liaoning Province, a dynamic coupling model of the intelligence dimensions (ID) and manufacturing dimensions (MD) of MSF was constructed. Stock increment was used to simulate the development level of the fusion and dynamically evaluate the degree of coupling coordination. The results show that both ID and MD have different advantages in terms of stock and incremental resources, and that the development of intelligence and manufacturing is imbalanced. In addition, in the transformation process of SMEs, the impact of stock factors is significant and the driving force of incremental factors in intelligent manufacturing is insufficient. Finally, SMEs lack comprehensive planning for the development of intelligent manufacturing processes. Full article

This research presents an essential oil (EO) distillation method with improved efficiency, called recurrent water and steam distillation (RWASD), as well as the testing of a 500 L prototype essential oil distillation machine (500 L PDM). The raw material used was 100 kg of lime fruit. At each distillation time point, the test result was compared with that obtained via water and steam distillation (WASD), and different raw material grid configurations were taken into consideration. It was found that distillation using the RWASD method increased the amount of EO obtained from limes by 53.69 ± 2.68% (or 43.21 ± 2.16 mL) compared with WASD. The results of gas chromatography mass spectrometry (GC-MS) analysis of bioactive compounds from the distilled EO revealed that important compounds were present in amounts close to the standards reported in many studies; namely, β-myrcene (2.72%), limonene (20.72%), α-phellandrene (1.27%), and terpinen-4-ol (3.04%). In addition, it was found that the temperature, state of saturated steam, and heat distribution during distillation were relatively constant. The results showed the design, construction, and heat loss error values of the 500 L PDM were 5.90 ± 0.29% and 7.83 ± 0.39%, respectively, leading to the use and percentage of useful heat energy to stabilize at 29,880 ± 1,494 kJ/s and 22.47 ± 1.12%, respectively. Additionally, the shape of the grid containing the raw material affects the temperature distribution and the amount of EO distilled, with values 10.14 ± 0.51% and 8.07 ± 0.40% higher for the normal grid (NS), respectively, as well as an exergy efficiency of 49.97 ± 2.49%. The highest values found for exergy in, exergy out, and exergy loss were 294.29 ± 14.71 kJ/s, 144.76 ± 7.23 kJ/s, and 150.22 ± 7.51 kJ/s, respectively. The obtained results can be further developed and expanded to promote the application of this method in SMEs, serving as basic information for the development of the EO distillation industry. Full article

Women entrepreneurs in small to medium enterprises (SMEs) in emerging countries play an essential role in the economy of developing countries such as Indonesia. Drawing on the resource-based view and entrepreneurship effectuation theory, this study examines how women’s entrepreneurial effectuation (WEE) modeled as a higher-order construct (HOC) comprising its four dimensions (LOCs)—namely, flexibility, experimentation, affordable loss, and pre-commitment—can influence employee performance (EMPRF) mediated by structural (STREM) and psychological empowerment (PSYEM). Using a disjointed two-stage PLS-SEM approach with data from 218 female SME employees, our results confirm that flexibility is the most salient effectuation dimension. WEE strongly predicts both STREM and PSYEM but shows no direct impact on EMPRF, highlighting that effectuation must be activated via empowerment mechanisms. PSYEM emerges as the strongest mediator of WEE on EMPRF, with STREM also contributing significantly and being amplified by gender equality practices; market orientation, by contrast, fails to moderate any paths. Theoretically, these findings enrich resource-based view (RBV) theory by integrating entrepreneurial effectuation dimensions and empowerment as human resource capabilities that generate inimitable performance gains. Practically, they suggest that women-led SMEs should integrate effectuation heuristics with targeted empowerment programs to realize the full potential of their human capital. Full article

Empirical studies on management control and business performance are growing. However, a research gap exists regarding the tourism development/hotel small- and medium-sized enterprises (SMEs), particularly in terms of administrative management and organizational functions. Hence, drawing from the principles of management control, specifically about the utilization of business performance evaluation techniques, this study aimed to construct a business performance index for hotel SMEs in the state of Yucatán, Mexico. To this end, the index evaluated multiple variables including investment, profitability, financing sources, operating metrics, and the utilization of financial information. To accomplish the goals, this study administered surveys to the proprietors/administrators of 139 hotel SMEs. It employed a quantitative approach and utilized the multiple linear regression model with the forward technique. Its findings demonstrate that the utilization of financial information and funding sources have the most substantial correlations with business performance. As theoretical and practical implications, a business performance index arose, replying to the needs presented by the Mexican Association of Hotels in Yucatán. Full article

The construction industry’s small and medium-sized enterprises (SMEs) face significant financial difficulties, exacerbated by disruptions such as COVID-19. Traditional supply chain finance models, relying on core enterprise credit, fail to address the dynamic nature of this sector. This study proposes a novel approach to value co-creation among stakeholders (core enterprises, suppliers, and financial institutions) through an evolutionary game theory framework. A stochastic model was developed to examine the strategic decisions of these parties, considering risk, penalty, and incentive coefficients. The results reveal that higher incentives encourage faster participation, while financial institutions are less sensitive to risk and penalty changes. This study provides new insights into promoting cooperative behavior and enhancing the sustainability of small and medium-sized enterprises (SMEs) in the construction industry through platform-based models. Full article

The scientific literature and practice have demonstrated that the old linear economic model “extract—produce—use and throw away” is no longer sustainable due to the enormous accumulation of waste and the related production of CO₂. Consequently, there is a need to adopt more sustainable development systems that include recycling resources and producing goods derived from recycled material. The examined literature highlights that SMEs are the least likely to make technological or paradigm changes in favor of sustainable choices due to a lack of resources and managerial competencies. This study presents a mixed-method approach based on qualitative and quantitative analyses. The qualitative analysis aims to identify, in the Italian context, measures that encourage companies to reduce the use of plastics in favor of sustainable alternatives. The quantitative analysis, based on secondary data, aims to identify the characteristics of the firms that benefited from the aid identified in the previous analysis. Thus, this study may support corporate environmental sustainability strategies in Italy by identifying specific characteristics and profiles of those companies willing to obtain public incentives for the use of recycled materials in their business and production processes. The results show that small and micro-sized companies obtained most of the analyzed incentives (almost 76% in terms of number of applications), and the most affected areas by these measures are the agriculture and food industries. Therefore, economic incentives can improve sustainable performance for small and micro-sized enterprises in the wide agri-food sector, while the legislator must adopt different tools, such as bans, Extended Producer Responsibility (EPR), and sustainability reports for medium-large sized companies of other crucial industrial sectors such as construction and automotives. Full article