Search Results (254)

Micro, Small, and Medium Enterprises (MSMEs) are vital drivers of economic growth in Kenya, yet they face persistent barriers, including limited capacity, financial exclusion, and weak market integration. This study assessed the potential of universities as strategic hubs for MSME capacity building through a collaborative initiative between Egerton University and the KCB Foundation. Using the International Labour Organization’s Start and Improve Your Business (SIYB) methodology, 481 entrepreneurs from Egerton, Njoro, and Gilgil were trained in a business development bootcamp. This study evaluated the training effectiveness, participant demographics, confidence in skill application, networking outcomes, and satisfaction levels. The results showed high participant confidence (over 95% across all regions), strong financial management uptake (85%), and mobile banking adoption (70%). Gilgil led in inclusivity and peer engagement, while Njoro showed stronger gender representation. However, logistical challenges caused 25% absenteeism in rural areas, and only 23% accessed post-training mentorship. These findings underscore the transformative role of HEIs in fostering sustainable entrepreneurship through localized, inclusive, and industry-aligned training. Policy recommendations include hybrid delivery models, tiered curricula for diverse skill levels, and institutionalized mentorship through public–private partnerships. This case demonstrates the value of embedding entrepreneurship support within university mandates to advance national MSME development agendas. Full article

In the context of accelerating digital transformation and growing sustainability imperatives, entrepreneurial ecosystems increasingly rely on open innovation and strategic collaboration to foster resilient, knowledge-driven growth. This study aims to examine how leadership behaviors and strategic alliances interact as enablers of sustainable innovation across macro (systemic), meso (organizational), and micro (individual) levels. To achieve this, this study employs a literature review, supported by bibliometric analysis, as its core methodological approach. Drawing on 86 influential publications from 1992 to 2024, two major thematic streams emerge: leadership dynamics in entrepreneurial settings and the formation and governance of strategic alliances as vehicles for innovation. The findings underscore the pivotal role of transformational and ethical leadership in cultivating trust-based inter-organizational relationships, facilitating digital knowledge sharing, and catalyzing sustainable value creation. Simultaneously, strategic alliances enhance organizational agility and innovation capacity through co-creation mechanisms, digital platforms, and crowdsourcing, especially in small and medium-sized enterprises (SMEs). This paper highlights a mutually reinforcing relationship: effective leadership strategies empower alliances, while alliance participation enhances leadership capabilities through experiential learning in diverse, digitalized environments. By bridging leadership theory, open innovation practices, and digital transformation, this study offers critical insights for entrepreneurs, managers, and policymakers seeking to drive inclusive and sustainable innovation within interconnected global markets. Therefore, this study provides practical guidance for business leaders aiming to strengthen alliance performance through adaptive leadership and for policymakers seeking to foster innovation ecosystems through supportive regulatory and institutional frameworks. Full article

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

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 study examines the application of agentic artificial intelligence (AI) frameworks within small, medium, and micro-enterprises (SMMEs), highlighting how interconnected autonomous agents improve operational efficiency and adaptability. Using the PRISMA 2020 framework, this study systematically identified, screened, and analyzed 66 studies, including peer-reviewed and credible gray literature, published between 2019 and 2024, to assess agentic AI frameworks in SMMEs. Recognizing the constraints faced by SMMEs, such as limited scalability, high operational demands, and restricted access to advanced technologies, the review synthesizes existing research to highlight the characteristics, implementations, and impacts of agentic AI in task automation, decision-making, and ecosystem-wide collaboration. The results demonstrate the potential of agentic AI to address technological, ethical, and infrastructure barriers while promoting innovation, scalability, and competitiveness. This review contributes to the understanding of agentic AI frameworks by offering practical insights and setting the groundwork for further research into their applications in SMMEs’ dynamic and resource-constrained economic environments. Full article

The textile sector plays a crucial role in Peru’s economy. This case study examines a Micro and Small Enterprise (MSE) in the Peruvian textile sector, which experienced a productivity decline to 0.085 units per sol in 2023, compared to the sector average of 0.13 units per sol. This productivity gap resulted in a 22.45% reduction in the company’s income. Previous studies addressing similar productivity issues have achieved only marginal improvements. This study aims to achieve more significant results by implementing 5S, Total Productive Maintenance (TPM), digitization, and advanced data analytics to enhance data recording and overall productivity. Data analytics is utilized to transform raw data into actionable insights, optimize maintenance, and improve quality control. The methodology was tested through a pilot project in the company’s apparel division, resulting in a productivity increase of 0.10 sol/unit. The study concludes that the applied methodology, supported by data analytics, effectively addresses the productivity issues and optimizes the processes within the case study. In a textile sector MSE, which has a problem with the low productivity present during the past year of 2023, i.e., of 0.085 und/sol whereas is at 0.13 und/sol on the side of the sector, it thus generates a negative economic impact of 22.45% of the company’s income and a presenting a gap of 0.085 und/sol while the sector is at 0.13 und/sol. Previously, studies have been presented, seeking to solve similar problems and obtaining minimally positive results, which is why the motivation to achieve favorable results to ensure that the MSEs in the sector can develop optimally with the support of tools such as 5S, TPM, and innovative technologies such as digitization, thus allowing better recording of their data. The application of this methodology is designed through a pilot in the apparel area of the company, allowing it to achieve a positive result by increasing productivity by 0.10 sol/unit. It can be concluded that this methodology allows solving the problems addressed and optimizing the processes of the case study. Full article

This study explores the emerging link between digital marketing and the circular economy, situated within the broader context of sustainability and digital transformation. Through a scientometric analysis of 276 documents indexed in Scopus, the research maps the conceptual, intellectual, and collaborative landscape of this intersection. The dataset was refined using the PRISMA standards, and the analysis was carried out with the R package bibliometrix. The findings reveal a highly fragmented body of literature, with a few prolific authors and limited international cooperation. Most of the influential publications are concentrated in a small number of sources, particularly the journal Sustainability. Thematic mapping identifies growing interest in areas such as consumer perception, sustainable development, and the adoption of digital tools by micro-enterprises, while other topics like recycling or public health remain peripheral. Although the scholarly output has surged in recent years (especially during 2023 and 2024), the field still lacks coherent theoretical frameworks or dominant research schools. Overall, digital marketing appears to be a promising driver for promoting circular practices, but further applied studies and enhanced international collaboration are essential to consolidate this line of inquiry. Full article

Micro-, small-, and medium-sized enterprises (MSMEs) have the opportunity to increase resource efficiency, decrease waste, and promote sustainability by implementing remanufacturing techniques. However, determining whether MSMEs are prepared for the adoption of such techniques requires a methodical approach that considers several aspects of manufacturing readiness, such as core acquisition, the design of remanufacturing, and others. Therefore, this study proposes a framework to measure the readiness for the adoption of remanufacturing practices. Further, the remanufacturing readiness index (RRI) is proposed by combining remanufacturing indicators with a structural approach based on graph theory and matrices (GTM). Nine remanufacturing readiness attributes are identified through the literature and validated by an expert team. These nine attributes include core acquisition, reverse logistics availability, resource availability for remanufacturing initiatives, the design for remanufacturing, enterprise collaboration, remanufactured product positioning, performance measurement, labor skill and availability, and a flexible remanufacturing system. The finalized remanufacturing readiness attributes are modelled using GTM to explore their interdependencies, forming the basis for a quantitative index (RRI) that reflects MSMEs’ readiness for the adoption of remanufacturing. It is used to measure the possibility of MSMEs implementing remanufacturing processes. To illustrate the efficacy of the RRI, a case study of a remanufacturing facility was conducted. This RRI acts as a decision-support tool to help MSMEs, industry stakeholders, and governments identify priority areas for intervention, promote resource efficiency, and create sustainable growth. The results highlight the importance of readiness attributes as fundamental components in implementing remanufacturing practices at the MSME level. Full article

The rapid advancement of artificial intelligence (AI) in the traditional-apparel-manufacturing sector is accelerating innovation and transformation, as cutting-edge AI applications have been increasingly integrated into the industry in recent years. While China has made outstanding achievements in applying AI in the apparel-manufacturing sector, the adoption of AI by traditional apparel manufacturers has progressed slowly. This study aims to develop a sustainable triple-layer framework of an AI-enabled innovation ecosystem from grounded required AI capabilities and barriers to AI adoption, thereby generating the conceptual propositions for micro, small, and medium-sized Chinese apparel manufacturing. Through semi-structured interviews conducted with 20 organizations, this study qualitatively analyzes interviews with representatives from enterprises, universities, and apparel associations to determine the required AI capabilities and barriers to adopting AI. It proposes 13 propositions within a theoretical framework that addresses barriers and aligns multi-actor collaborations, ultimately forming a sustainable AI-enabled Triple-Layer Innovation Ecosystem Framework. This novel framework reflects the dynamic interplay between external knowledge absorption capacity and a firm’s internal innovation capacity, providing a theoretical foundation for understanding and advancing AI-driven innovation in the apparel-manufacturing sector. Full article

Digital transformation has become a strategic imperative for micro and small enterprises (MSEs) in emerging economies, yet the mechanisms linking digitalization to performance outcomes remain underexplored. This study examines how the strategic emphasis on digital transformation and the breadth of technology adoption influence firm performance among MSEs in Bhutan. Drawing on an integrative theoretical framework combining diffusion of innovations theory, the resource-based view, and institutional theory, survey data from 217 MSEs were analyzed using regression and interaction modeling techniques. The findings indicate that firms with stronger digital strategic emphasis adopt a broader range of technologies and achieve superior performance. However, unstructured or excessive knowledge sharing negatively moderates these relationships, potentially creating cognitive overload and impeding digital strategy execution. Furthermore, tourism enterprises exhibit significantly higher levels of digital engagement compared to non-tourism counterparts, highlighting the role of sector-specific institutional pressures. By uncovering the systemic dynamics between strategic orientation, technology adoption, and knowledge flows, this study contributes to a deeper understanding of how digital transformation processes can be optimized in resource-constrained environments. These findings not only offer practical insights for enhancing digital readiness and organizational resilience among small enterprises but also contribute to the broader theoretical discourse on how strategic orientation and contextual moderators shape the effectiveness of digital transformation in emerging markets. 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

Stakeholder fragmentation in transdisciplinary research often impedes innovation in South Africa’s tourism sector. The real-time supply network for MSMEs in Gauteng and KwaZulu-Natal struggles with digital adoption, limiting its resilience despite rising demand in the digital economy. This study examined how a transdisciplinary approach can enhance the Tourism Supply Chain Network in these regions—an urban hub (Gauteng) and a coastal cultural destination (KwaZulu-Natal)—to unlock their potential. Employing action research, this study engaged stakeholders (tourism operators, tech developers, and communities) to co-create data-driven digital solutions, including a real-time supply network. The collected data included both qualitative insights from workshops and interviews, as well as quantitative metrics such as platform usage and tourist engagement, which were analysed using descriptive statistics. Innovative technologies improved the supply chain efficiency, cutting coordination delays by 25% in Gauteng and boosting rural tourism visibility in KwaZulu-Natal, with a 30% increase in bookings. Gauteng saw urban connectivity gains, while KwaZulu-Natal achieved inclusive growth. This study provides a scalable, data-driven framework for digitalisation in tourism supply networks, offering practical strategies for stakeholders. It advances innovative technologies in emerging markets, emphasising the transformative potential of transdisciplinary collaboration to build resilient, collaborative tourism ecosystems in South Africa. Full article

This study analysed the financial literacy (FL) levels of micro and small entrepreneurs (MSMEs) across 13 countries using data from the 2021 OECD/INFE survey. Focusing on the three core aspects of financial literacy—knowledge, behaviour, and attitudes—our analysis reveals that FL levels tend to vary by enterprise size, with small businesses generally scoring higher than micro-enterprises. Moreover, countries’ performances differ across the three FL aspects, and these differences appear to be component rather than country-specific. This study applied the standardised OECD/INFE methodology, enabling cross-country comparisons of MSME financial literacy. The results identify specific strengths and weaknesses across countries and FL components, providing valuable insights into policy design and educational interventions. For instance, while financial behaviour scores are relatively strong, financial attitude scores are consistently lower, indicating a gap that requires targeted attention. Full article

This study aims to analyze the influence of entrepreneurial marketing, internet marketing, market orientation, and social entrepreneurship orientation on business sustainability, marketing performance, and competitiveness. A total of 235 micro-, small, and medium enterprises (MSMEs) in Jabodetabek and Sukabumi were successfully processed with SmartPLS 3 software to be analyzed using the SEM-PLS two-stage embedded approach. In micro-enterprises (MEs), the results of the analysis show that the variables of internet marketing, market orientation, and social entrepreneurship orientation have a significant positive effect on social aspects. Meanwhile, entrepreneurial marketing has a significant positive effect on environmental aspects. Furthermore, only two aspects of sustainability (economic and social aspects) have a positive effect on competitiveness and marketing performance. In another case with small and medium enterprises (SMEs), the results of the analysis show that variable market orientation has a positive effect on economic aspects and a negative effect on social aspects. While the social entrepreneurship orientation variable has a positive effect on social aspects, it has a negative effect on economic aspects. Furthermore, the economic aspects of SMEs have a positive effect on competitiveness and marketing performance. Environmental aspects have a positive effect on competitiveness, and social aspects affect marketing performance. Finally, competitiveness variables affect the marketing performance of SMEs. In general, it is necessary for the government to differentiate between MEs and SMEs because they have different business capabilities. MEs need a more social approach, while SMEs need a more economic approach in order to support their sustainability aspects. Full article

Research on the effects of digital transformation in micro and small enterprises (MSEs) is growing, yet remains underdeveloped, particularly in the context of emerging economies. While previous studies highlight the performance benefits of digital readiness, they often overlook how sector-specific challenges influence these outcomes. This study investigates the relationship between digital readiness and firm performance among MSEs in Bhutan, with a focus on the moderating roles of internal (operational) and external (supply chain) issues. Drawing on data from 217 survey responses collected from firm owners and operators, this study compares tourism and non-tourism sectors to reveal sectoral asymmetries in digital transformation outcomes. The results show that digital readiness is positively associated with firm performance across both sectors. However, the strength of this relationship is differentially moderated by contextual challenges: external issues negatively moderate the digital readiness–performance link in the tourism sector, while internal issues play a similar moderating role in the non-tourism sector. Additionally, firms in the tourism sector report higher levels of both digital performance and satisfaction with digitalization than their non-tourism counterparts. These findings contribute to the Diffusion of Innovation Theory by emphasizing the contingent and asymmetric nature of digital adoption effects across industry sectors. This study offers practical implications for managers and policymakers by underscoring the need for sector-sensitive digital strategies and support mechanisms. Full article