Search Results (118)

Micro-enterprises are vital to the European economy, including in Croatia, where they make over 88% of the total number of businesses. Despite their significance, they face substantial energy vulnerability due to factors like small size, limited financial resources, and high energy costs. This paper investigates the determinants of energy vulnerability among Croatian micro-enterprises, employing a survey of 470 micro-enterprises. The study covers firms across all Croatian NUTS2 regions and ensures geographic and sectoral representativeness. Key findings reveal that enterprises with higher energy expenditures relative to revenue are most susceptible to energy vulnerability, which is aligned with our assumption. On the other hand, businesses that own their premises, have more employees, and have been operational longer are more likely to invest in energy efficiency measures, thereby reducing vulnerability. Notably, a significant proportion of micro-enterprises report that energy costs adversely affect their household finances, highlighting the nature of business and personal economic stability. The paper underscores the need for targeted policies and support mechanisms to enhance the energy-related resilience of micro-enterprises, considering their unique structural and financial constraints. Full article

This study analyzes the current state of artificial intelligence (AI) adoption among micro-, small-, and medium-sized enterprises (MSMEs) in Ecuador, with a focus on its application across core business functions. Using a stratified random sample of 385 firms from the most representative economic sectors, a survey instrument was designed to assess three dimensions: access to AI-enabling conditions, degree of AI utilization, and organizational characteristics. The results reveal that AI adoption remains limited and highly concentrated in marketing-related functions, particularly in content generation and social media automation, with minimal implementation in finance, logistics, and human resource management. The study also identifies the main barriers hindering AI adoption. The lack of qualified professionals and the unavailability of structured databases emerged as the most critical obstacles, followed by limited financial capacity. One-way ANOVA and Kruskal–Wallis tests confirmed significant differences in AI adoption levels based on company size and sector, especially in areas such as inventory optimization and design prototyping. These findings highlight a gap between the potential of AI technologies and their real-world implementation in Ecuadorian MSMEs. They underscore the need for targeted strategies focused on workforce training, digital infrastructure development, and institutional support to promote broader and more effective AI integration. Full article

Artificial intelligence (AI) has significant potential to transform small- and medium-sized enterprises (SMEs), yet its adoption is often hindered by challenges such as limited financial and human resources. This study addresses this issue by investigating the core AI technologies adopted by SMEs, their broad range of applications across business functions, and the strategies required for successful implementation. Through a systematic literature review of 50 studies published between 2016 and 2025, we identify prominent AI technologies, including machine learning, natural language processing, and generative AI, and their applications in enhancing efficiency, decision-making, and innovation across sales and marketing, operations and logistics, finance and other business functions. The findings emphasize the importance of workforce training, robust technological infrastructure, data-driven cultures, and strategic partnerships for SMEs. Furthermore, the review highlights methods for measuring and optimizing AI’s value, such as tracking key performance indicators and improving customer satisfaction. While acknowledging challenges like financial constraints and ethical considerations, this research provides practical guidance for SMEs to effectively leverage AI for sustainable growth and provides a foundation for future studies to explore customized AI strategies for diverse SME contexts. 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

Local governments have introduced local currency systems to stimulate regional economies by encouraging local spending and preventing financial outflows. Since the success of a local currency depends on residents’ active participation, understanding consumer preferences is essential for designing effective systems. This study used a choice experiment and stated preference data to identify the features that most influence local currency adoption. Using the conditional logit model, the analysis revealed that purchase limits, merchant coverage, number of service businesses, local infrastructure, and incentives significantly impact users’ willingness to participate. The scenario analysis further highlighted the necessity of regional differentiation in currency platforms. By adopting an urban analytics approach, these results offer evidence-based insights for policymakers aiming to establish robust, spatially differentiated local currency platforms that bolster regional economic vitality across diverse urban contexts. Full article

China’s retail industry faces unique challenges in supply chain financing, particularly for small and medium-sized enterprises (SMEs) that often struggle to secure loans due to insufficient credit ratings and collateral in the business environment of China. This paper presents a groundbreaking approach that integrates real-time data elements into financing models, addressing the critical issue of information asymmetry between financial institutions and retail SMEs. By leveraging dynamic data such as orders, receivables, and project progress, our novel framework moves beyond the limitations of traditional asset-based lending, employing advanced data analytics for enhanced credit assessment and risk management. Applying the Stackelberg game theory, we explore the strategic interactions between suppliers and purchasers in the retail supply chain, identifying optimal financing strategies that improve capital flow efficiency and reduce overall costs. Our comprehensive data-driven model incorporates various scenarios, including the traditional supply chain financing model (Model T) and the innovative data-element secured financing model (Model G). The latter further considers risk assessment, risk appetite, volume, and schedule factors, providing a holistic approach to financial decision-making. Through rigorous mathematical modeling and numerical analysis, we demonstrate the effectiveness of our proposed framework in optimizing supply chain financing strategies. The results highlight the potential for data-driven approaches to unlock new financing opportunities for SMEs, fostering a more collaborative and efficient ecosystem within the retail industry. This study presents comprehensive data-driven strategies that unlock new financing opportunities for SMEs, providing a practical roadmap for stakeholders to foster a more collaborative and efficient supply chain financing ecosystem. The significance of studying supply chain finance for small and medium-sized enterprises (SMEs) lies in optimizing financing models to address the financing difficulties faced by SMEs. This helps improve their market competitiveness and promotes resource sharing and collaboration among all parties in the supply chain, thereby achieving sustainable economic development. Full article

This study intends to investigate the role of social financing in supporting sustainable development and fostering entrepreneurship within small and medium enterprises (SMEs) and its future directions and opportunities in Malaysia and Saudi Arabia. SMEs are increasingly implementing sustainable business models to tackle resource constraints and environmental issues to foster long-term social and environmental impact. A quantitative research design was employed, with data collected through questionnaires distributed to SME owners using purposive sampling. A total of 600 questionnaires were distributed, with 106 valid responses analyzed. The study employed descriptive statistics and Structural Equation Modeling (SEM) using SmartPLS 4.0 to assess the framework. The findings reveal significant positive effects of financial institutions, globalization impact, and access to finance on the role of waqf in SME development, while business obstacles and government support showed no significant influence. According to this study, open innovation is crucial to fostering collaboration between small- and medium-sized enterprises, Islamic endowments, and external stakeholders such as non-profits, government agencies, and community groups. This research adds to the expanding body of knowledge regarding the efficacy of social entrepreneurship and inclusive business models in addressing environmental challenges and assisting SMEs in their long-term growth by facilitating the creation of shared value and the dissemination of sustainable business solutions. Full article

The COVID-19 pandemic has negatively impacted the world economy and global society. However, small- and medium-sized enterprises are among the most vulnerable and affected groups of businesses, and in some cases, life-saving interventions have resulted in serious existential implications. The difficulties of insufficient demand, non-negligible fixed costs, and inadequate financing are unsustainable for many firms. Thus, the main aim of this study is to evaluate the variables influencing business activities, apply macroeconomic variables to compare the business environments in fifteen European countries, and utilize appropriate statistical techniques to confirm the results. Significant differences exist in the business climate across selected European countries, as identified by the TOPSIS method, CPI, and GCI. Low levels of corruption, strong economic stability, and high competitiveness make countries like Germany and Austria attractive for business environments. Estonia is also a leader in technological innovation and low corruption. Conversely, Bulgaria and Romania are struggling with higher levels of corruption and reduced competitiveness, potentially impeding business endeavours. The Visegrad Group countries are in the middle of the spectrum, scoring average to good but with opportunities for improvement in corruption and innovation. Overall, the business climate in these countries is diverse, reflecting their unique economic, political, and social circumstances. Full article

Credit rationing, especially prevalent for smaller firms, impedes economic growth. A central bank-aligned not-for-profit managed business-to-business “stablecoin” (“synthetic central bank digital currency”) providing trade credit liquidity can provide additional monetary mass to mitigate small firm credit rationing. This raises growth by reducing monetary transmission imperfections consequent upon asymmetric information, commercial bank underwriting restrictions, market power dynamics, and regulatory distortion. A simple framework is developed to contextualise small firm credit rationing and associated monetary transmission imperfections with broader credit flows into both the real and monetary sectors. Evidence is presented regarding monetary transmission efficacy to firms, paving the way to proposing a business-to-business central bank-mediated “trade credit stablecoin” to improve business credit supply. In addition to providing additional (estimated at more than 10%) industrial and commercial (including smaller) firm financing, the envisaged trade credit stablecoin provides an additional monetary transmission channel for central banks to manage credit supply to the real economy to support economic activity and raise growth. Available to all firms, the trade credit stablecoin offers additional low-cost liquidity to firms, thereby offering policymakers an additional contra-cyclical monetary transmission instrument to support growth and, where necessary, reduce real economic disruption consequent upon financial system crises and liquidity events. Full article

This study assesses and quantifies the economic and financial impacts of the COVID-19 pandemic during the period of business operation restrictions countrywide (lockdown measures). We examine the strategies adopted by small and medium-sized enterprises (SMEs) to reopen their business operations after lockdown measures had been relaxed or lifted. Data were collected in Rwanda from nearly 244 SMEs across the country, providing firsthand and reliable information on the effects of the pandemic on business performance, with a particular emphasis on wood-based enterprises. We used Exploratory Data Analysis (EDA) and multivariate linear regression methods to measure the pandemic’s effects on employment, sales, and tax payments among SMEs. The findings reveal that firms downsized employment by 36%, with significant deviations within different SME sizes. Small businesses were particularly affected by reduced sales levels due to the pandemic. Although there was an overall reduction in tax payments during the crisis, medium-sized enterprises experienced a more significant decrease in taxes paid to the government by 74.6%. Additionally, regression findings affirm that the COVID-19 effects on SMEs were manifested in reduced sales across all categories of SMEs, reduced employment, and a reduced amount of taxes paid to the government, which further translate to reduced economic performance during COVID-19 period. Furthermore, SME owners utilised various coping mechanisms during the reopening phase, including a reliance on savings and selling assets. The analysis recommends establishing medium-term financing mechanisms and providing technical support for SMEs to ensure a steady and sustainable recovery from the pandemic’s effects, as well as enhancing their resilience to future socio-economic shocks. Full article

The adoption of data science brings vast benefits to Small and Medium-sized Enterprises (SMEs) including business productivity, economic growth, innovation and job creation. Data science can support SMEs to optimise production processes, anticipate customers’ needs, predict machinery failures and deliver efficient smart services. Businesses can also harness the power of artificial intelligence (AI) and big data, and the smart use of digital technologies to enhance productivity and performance, paving the way for innovation. However, integrating data science decisions into an SME requires both skills and IT investments. In most cases, such expenses are beyond the means of SMEs due to their limited resources and restricted access to financing. This paper presents trends and challenges towards effective data-driven decision making for organisations based on a 3-year long study which covered more than 85 UK SMEs, mostly from the West Midlands region of England. In particular, this study attempts to find answers to several key research questions around data science and AI adoption among UK SMEs, and the advantages of digitalisation and data-driven decision making, as well as the challenges hindering their effective utilisation of these technologies. We also present two case studies that demonstrate the potential of digitisation and data science, and use these as examples to unveil challenges and showcase the wealth of currently available opportunities for SMEs. Full article

With the degradation of the environment due to increasing ecological destruction and pollution, sustainable development has become the paramount objective of social progress. As a result, the concept of green development has garnered considerable attention, which is an important starting point for China to achieve stable economic development and sustainable ecological development. To achieve high-quality economic progress while advancing environmentally friendly practices, it is imperative to formulate and uphold a sound green credit system. However, the phenomenon of greenwashing by enterprises still exists, which compromises the efficacy of green credit and hinders the long-term sustainable and well-organized progress of green finance. Building on the background of green credit, considering the existence of blockchain and government subsidies and adopting the method of tripartite evolutionary game, this paper examines the strategic decisions made by the government, financial institutions, and small and medium-sized enterprises in the context of greenwashing. An emphasis is placed on the impact of blockchain technology on the three parties involved in the green credit market. The findings demonstrate that blockchain technology can diminish the likelihood of greenwashing by businesses and enhance the impact of government subsidies. However, it cannot replace the regulatory authority of the government in sustainable development. Moreover, excessive subsidies can stimulate more greenwashing practices, but eliminating subsidies does not eradicate the root of greenwashing. To encourage sustainable economic development and minimize corporate defaults, the government ought to reinforce supervision and establish a robust social surveillance and publicity mechanism. This paper broadens the research perspective on the effectiveness of green credit and provides some empirical and theoretical references for further promoting the green transformation of SMEs and the sustainable development of the ecological environment. Full article

The establishment of government investment funds serves as a crucial measure for governments at all levels to leverage their certification role and financial resources in attracting social capital to support enterprise development. This paper empirically examines the guiding certification effect and governance supervision effect of government investment funds on enterprise value enhancement, utilising panel data from listed companies and government investment fund investment event data spanning the period from 2011 to 2021. The research findings reveal that government investment funds significantly enhance the value of recipient enterprises. By leveraging their guidance and certification effects and governance supervision effects, these funds alleviate financing constraints, actively participate in corporate governance, and ultimately enhance corporate value. The impact of government investment funds is negatively moderated by the age and size of the enterprise, indicating that the “invest in early-stage and small businesses” investment strategy yields better results in promoting value enhancement. Furthermore, heterogeneity analysis demonstrates that government investment funds have a more pronounced impact on the value of non-heavily polluting industries, enterprises located in the eastern and southern regions of China, and non-state-owned enterprises. This article expands the research scope of government investment funds at the micro level, providing empirical evidence and theoretical support for optimising government investment funding policies and fostering the development of a modern capital market with distinctive Chinese characteristics. Full article

This research aims to develop a conceptual framework and propositions to establish and test the causal relationships between Industry 5.0 readiness (I5.0R), global value chain (GVC) participation, business competitiveness (BC), and sustainable business growth (SBG) of small and medium-sized enterprises (SMEs). This study focuses on Industry 5.0 readiness, evaluated through human-centricity, fairtrade practices, lean management, sustainability practices, and business competitiveness, measured by marketing, resources, production, and finance. Both constructs were developed and tested as higher-order constructs, while GVC participation and sustainable business growth were assessed as lower-order constructs. Data were collected from marine food processing SMEs in Thailand using a purposive sampling technique. This study tested and confirmed the content validity, construct validity, and reliability of both lower and higher-order models. Using partial least squares structural equation modeling (PLS-SEM) with bootstrapping (n = 1000), the results indicated significant positive impacts of Industry 5.0 readiness on GVC participation, Industry 5.0 readiness on business competitiveness, GVC participation on business competitiveness, and business competitiveness on the sustainable business growth of SMEs. Additionally, business competitiveness was found to mediate the relationship between Industry 5.0 readiness and sustainable business growth. These findings contribute to the literature on Industry 5.0, GVCs, and SME business competitiveness, offering practical insights for SMEs and policymakers aiming to enhance sustainable growth through strategic readiness and competitiveness in Industry 5.0 practices. The implications and directions for further research in Industry 5.0 readiness of SMEs are presented. Full article

In today’s modern era, digital transformation serves as a crucial element for organizations to gain a competitive edge and optimize their operating systems. However, medium-sized enterprises in Thailand face difficulties in accessing capital market financing, despite its significance in promoting the development of small- and medium-sized enterprises according to the 13th National Economic and Social Development Plan. One potential solution to this issue is digital transformation, which can help these enterprises achieve their strategic business objectives and find a reliable source of funding while enhancing their reputation and credibility, thereby contributing to the growth of the economy as a whole. This study utilized a mixed-methods approach to explore how digital transformation can assist medium-sized enterprises in accessing LiVEx, a new capital market for Thai SMEs. We conducted extensive research and interviewed 12 senior executives across three groups, government agencies, LiVEx-listed companies, and social associations, to develop a questionnaire and conceptual model. Data collected from 360 individuals working in medium-sized enterprises in Thailand collected using an online questionnaire were then analyzed, using CFA and SEM techniques to validate the model. Our study emphasizes the importance of digital literacy, digital usage, and digital advocacy in the success of digital transformation in accessing Thai capital market financing. These findings serve as a valuable knowledge repository for future research. Full article