Search Results (644)

This study synthesizes the rapidly expanding evidence on how digital technologies reshape international trade, with a particular focus on small and medium-sized enterprises (SMEs). Guided by two research questions—(RQ1) How do digital tools influence the volume and composition of cross-border trade? and (RQ2) How do these effects vary by countries’ development level and firm size?—we conducted a PRISMA-compliant systematic literature review covering 2010–2024. Searches across eight major databases yielded 1857 records; after duplicate removal, title/abstract screening, full-text assessment, and Mixed Methods Appraisal Tool (MMAT 2018) quality checks, 86 peer-reviewed English-language studies were retained. Findings reveal three dominant technology clusters: (1) e-commerce platforms and cloud services, (2) IoT-enabled supply chain solutions, and (3) emerging AI analytics. E-commerce and cloud adoption consistently raise export intensity—doubling it for digitally mature SMEs—while AI applications are the fastest-growing research strand, particularly in East Asia and Northern Europe. However, benefits are uneven: firms in low-infrastructure settings face higher fixed digital costs, and cybersecurity and regulatory fragmentation remain pervasive obstacles. By integrating trade economics with development and SME internationalization studies, this review offers the first holistic framework that links national digital infrastructure and policy support to firm-level export performance. It shows that the trade-enhancing effects of digitalization are contingent on robust broadband penetration, affordable cloud access, and harmonized data-governance regimes. Policymakers should, therefore, prioritize inclusive digital-readiness programs, while business leaders should invest in complementary capabilities—data analytics, cyber-risk management, and cross-border e-logistics—to fully capture digital trade gains. This balanced perspective advances theory and practice on building resilient, equitable digital trade ecosystems. Full article

This qualitative case study explores Missouri-based consumers’ ethical beliefs regarding restaurant sourcing from minority farmers. Guided by the Hunt–Vitell theory of ethics (H-V model), it applies the model in a new context: culturally inclusive restaurant sourcing. Based on 15 semi-structured interviews conducted between September 2024 and October 2024, the study explores how ethical beliefs shape dining intentions. Participants generally viewed support for minority farmers as ethically appropriate. Thematic analysis revealed six key themes: (1) community-oriented social values (e.g., social responsibility toward local businesses); (2) cultural identity (e.g., traditional farming methods); (3) consumer values—food-oriented (e.g., quality); (4) consumer values—people-oriented (e.g., financial support for ethical sourcing); (5) trust-building mechanisms (e.g., sourcing transparency); and (6) barriers (e.g., lack of awareness). These findings highlight limited consumer awareness of minority farmers and the need for transparent communication and cultural education. The study contributes theoretically by extending the H-V model to the intersection of ethics, culture, and restaurant sourcing. Practically, it offers guidance for restaurant managers, marketers, and policymakers to support minority farmers, build trust, and promote inclusive and socially responsible dining. One key limitation of this study is its reliance on a small, Missouri-based consumer sample, which limits generalizability and excludes perspectives from other stakeholders. However, as a regional case study, it provides important depth and contextual insight into an underexplored aspect of sustainable sourcing. This study also highlights the need for multi-stakeholder engagement to advance equity in the food system. Full article

The integration of artificial intelligence (AI) within the decision-making processes of small- and medium-sized enterprises (SMEs) presents both significant opportunities and substantial ethical challenges. The aim of this paper is to provide a theoretical model depicting the interdependence of organisational decision-making levels and decision-making styles, with an emphasis on exploring the role of AI in organisations’ decision making, based on selected process dimension of the MER model of integral governance and management, particularly in relation to routine, analytical, and intuitive decision-making capabilities. The research methodology employs a comprehensive qualitative analysis of the scientific literature published between 2010 and 2024, focusing on AI implementation in SMEs, ethical decision making in integral management, and regulatory frameworks governing AI use in business contexts. The findings reveal that AI technologies influence decision making across business policy, strategic, tactical, and operative management levels, with distinct implications for intuitive, analytical, and routine decision-making approaches. The analysis demonstrates that while AI can enhance data processing capabilities and reduce human biases, it presents significant challenges for normative–ethical decision making, requiring human judgment and stakeholder consideration. We conclude that effective AI integration in SMEs requires a balanced approach where AI primarily serves as a tool for data collection and analysis rather than as an autonomous decision maker. These insights contribute to the discourse on responsible AI implementation in SMEs and provide practical guidance for leaders navigating the complex interplay between (non)technological capabilities, ethical considerations, and regulatory requirements in the evolving business landscape. Full article

This paper presents an integrated Smart City platform that combines digital twin technology, advanced machine learning, and a private blockchain network to enhance data-driven decision making and operational efficiency in both public enterprises and small and medium-sized enterprises (SMEs). The proposed cloud-based business intelligence model automates Extract, Transform, Load (ETL) processes, enables real-time analytics, and secures data integrity and transparency through blockchain-enabled audit trails. By implementing the proposed solution, Smart City and public service providers can significantly improve operational efficiency, including a 15% reduction in costs and a 12% decrease in fuel consumption for waste management, as well as increased citizen engagement and transparency in Smart City governance. The digital twin component facilitated scenario simulations and proactive resource management, while the participatory governance module empowered citizens through transparent, immutable records of proposals and voting. This study also discusses technical, organizational, and regulatory challenges, such as data integration, scalability, and privacy compliance. The results indicate that the proposed approach offers a scalable and sustainable model for Smart City transformation, fostering citizen trust, regulatory compliance, and measurable environmental and social benefits. Full article

This study examines the awareness and implementation of Circular Economy (CE) principles within Chile’s mining sector, which represents the world’s leading copper producer. We employed a mixed-methods approach, combining quantitative surveys with qualitative semi-structured interviews, to evaluate perceptions and implementation levels of CE practices across diverse organizational contexts. Our findings reveal a pronounced knowledge gap: while 73.3% of mining professionals reported familiarity with CE concepts, only 57.3% could provide accurate definitions. State-owned mining companies demonstrated substantially higher CE implementation rates, with 36.5% participating in eco-industrial collaborations and 51% conducting environmental audits, compared to their private counterparts. Small enterprises (1–100 employees) exhibited particularly limited engagement, as demonstrated by 71.8% lacking established sustainability reporting mechanisms. A considerable implementation gap was also identified; although 94.8% of respondents considered CE principles integral to business ethics and 89.6% recognized CE as essential for securing a social license to operate, only 20.8% reported that their organizations maintained dedicated CE units. The research presents actionable recommendations for policymakers, including targeted financial incentives and training programs for small- and medium-sized enterprises (SMEs) in mining services, the establishment of standardized CE performance metrics for the sector, and the integration of CE principles into strategic management education to accelerate sustainable transformation within Chile’s critical mining industry. Full article

The present study examines the role of knowledge management practices in developing business intelligence systems (BISMs) and organizational sustainability (OS) in small and medium-sized enterprises (SMEs) in Saudi Arabia. With the underpinning of the knowledge-based view (KBV) in the model of the study, the study employed a deductive approach. Cross-sectional data were gathered from CEOs, senior managers, and business intelligence officers using both offline and online survey tools. Finally, the study utilized 356 usable cases to support its conclusions. The study confirmed a positive effect on knowledge management practices, i.e., knowledge acquisition (KAG) and knowledge dissemination (KDM) on BISMs and OS. On the other hand, the impact of knowledge responsiveness (KRN) on BISMs is negative but positive on OS. Furthermore, BISMs have a positive effect on OS and entrepreneurial leadership (ELP). ELP also positively affects OS. Finally, ELP mediates the relationship between BISMs and OS. The study provides guidelines for SME managers and policymakers on how to invest in knowledge management initiatives to foster a culture of continuous learning and information sharing. The study directly supports Saudi Arabia’s Vision 2030, which requires the development of the sustainability of SMEs. Finally, the study addresses the gaps in the integrated model, providing empirical evidence from a developing context. Full article

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

This study investigates the empowering role of public–private partnerships (PPPs) in the economic sustainability of waste management (ESW) and the circular industry economy (CIE), specifically in the small, rapidly industrialising Emirate of Ajman, UAE. Embracing a circular economy is vital for the sustainability agenda while forging a transformative commitment to planetary health (PH) in a manner that is especially crucial for small states with limited carrying capabilities. A quantitative methodological orientation is employed in a survey-based research design, followed by the Partial Least Squares Structural Equation Modelling statistical technique to test the hypothesised relationships. Sampling involved the three sub-populations of government employees (n = 123), managers/employees of private waste collection businesses (n = 106), and employees of private industrial waste generation industries (n = 276). Findings indicate that PPP empowerment positively impacts ESW and contributes to the creation of CIE. Moreover, ESW fosters the growth of CIE in Ajman. Notably, the perspectives of government stakeholders differ from those of non-government actors. This research underscores the significance of PPP empowerment in the development of CIE towards SDGs 11, 12, and 17, emphasising the mediating role of ESW between PPPs and CIE in small, rapidly industrialising states. The study recommends that the Ajman government implement training and social initiatives aimed at aligning the sustainability perspectives of all stakeholders involved in waste management to promote the mutual benefits of “people, places, and planet”. 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

This article proposes an innovative methodology for data-driven modeling and simulation of transportation management through cross-sectoral collaboration in small businesses. The present research is multidisciplinary and interdisciplinary in nature. We investigate the improvements in logistics management that can be achieved through cross-sector collaboration in agriculture and forestry. A data-driven method, such as symbolic regression, is used to identify the relationships between factors in a modeled system using mathematical expressions. These expressions are directly integrated into the simulation models. Simulation spreads the modeling of transportation processes over a period of time. The system dynamics model is designed to analyze and assess the performance of a system based on its past behavior and is, therefore, deterministic. The discrete-event model enables the simulation of future scenarios and outcomes over time, given random input variables. As new data become available, relationships within the symbolic regression method are discovered more accurately, and simulations are updated accordingly. The tools offered for implementation are supplemented by a multi-user web simulation. The proposed case study is based on a real-life example. The obtained results allow small agricultural companies to use transportation and labor resources more efficiently when organizing the transportation of their agricultural and forestry products. Integrating data-driven models into simulations enables a better interpretation of data across the entire data value chain. Full article

This study explores how digital technologies (DTs) drive business model innovation (BMI) in the traditional manufacturing sector of an emerging economy, focusing on the mediating roles of firm agility (FA), absorptive capacity (AC), and the moderating role of market turbulence (MT). Drawing on organizational adaptation theory and the dynamic capability view, the study develops a conceptual model tested through a survey of 479 senior managers from small and medium-sized manufacturing enterprises (SMEs) in three major industrial cities in Turkey. The results confirm that DTs have a significant positive effect on BMI, with both FA and AC partially mediating this relationship. Additionally, MT strengthens the impact of DTs on FA but does not significantly moderate its effect on AC or BMI. These findings reveal that the effectiveness of digital transformation depends not only on technological investments but also on internal organizational capabilities and external environmental conditions. The study contributes to the digital transformation literature by offering empirical evidence from an underexplored emerging market context and by demonstrating the conditional pathways through which DTs influence innovation. Practical implications highlight the importance of enhancing agility and knowledge integration to translate digital investments into strategic value under turbulent market conditions. Full article

Categorization of enterprises by size provides a fundamental understanding of the composition of the business environment. Small, medium-sized, and large enterprises play a significant role in the national economy through the execution of specific business activities. In their pursuit of enhancing the efficiency of individual business processes and mitigating the risks associated with these activities, enterprises may implement various ISO standards, including quality management, environmental management, occupational health and safety (OSH), or corporate social responsibility (CSR) systems. The sources published to date do not clearly explain the mutual relationship that arises when implementing multiple ISO standards that prioritize different activities within a single enterprise. This gap is particularly evident in the context of small enterprises, which often do not have the obligation or capacity to implement ISO standards. This study addresses this research gap by identifying the relationship between implemented ISO standards, priority activities in the risk management process, and the person responsible for these activities. The objective of this article is to examine the relationship of dependency between specific ISO standards and the priority activity in risk management. Furthermore, the study seeks to determine whether the degree of implementation of ISO standards influences the selection of the person responsible for risk management. Additionally, it examines whether dependence exists between the priority activity in risk management and the specific person responsible for risk management. The authors provide statistical hypothesis testing based on data from a nationwide survey conducted across all enterprise size categories. The results obtained from this study confirm the presence of a dependency between the degree of ISO standards implementation and the priority activity in risk management across all enterprise size categories. However, a statistically significant dependency between the degree of implementation of ISO standards and the person responsible for risk management was not confirmed in large companies. The dependency between the selection of the person responsible for risk management and the priority activity in risk management was confirmed only in small enterprises. 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

This study explores how small family wineries in the Croatian Split-Dalmatia County integrate social media into their marketing and business strategies, focusing on the interplay between tradition, family identity, and digital innovation. Utilising a qualitative methodology, semi-structured interviews were conducted with winery owners to explore their use of social media platforms, their sales and distribution strategies, and their perceptions of Croatia’s EU membership. The results show that social media, particularly Facebook and Instagram, serve as highly personalised, low-cost marketing tools, predominantly managed by younger family members and used to convey authenticity, family heritage, and local identity. Despite limited resources and professional marketing expertise, these wineries take an intuitive, do-it-yourself approach and rely on direct customer relationships, storytelling, and experiential offerings to drive loyalty. While EU membership is generally seen as beneficial for tourism and funding opportunities, bureaucratic complexity remains a significant obstacle. This study highlights the importance of leveraging cultural heritage for digital content and emphasises the need for targeted policy support to improve digital competencies and reduce administrative barriers. These findings contribute to a deeper understanding of how family-run SMEs can gain and sustain competitive advantage by blending tradition with digital marketing practices in a rapidly evolving business environment. Full article

This study identifies key drivers for ERP implementation in small- and medium-sized enterprises (SMEs) in Austro–Ecuador and examines their impact on operational efficiency, strategic adaptability, and digital transformation. Motivated by the limited empirical evidence on ERP adoption in Latin American SMEs, this research aims to provide Austro–Ecuadorian insights that contribute to innovation management practices in emerging economies. To identify the critical success factors (CSFs) influencing ERP implementation, a four-phase methodology was employed, encompassing a CSF literature review, data collection and case analysis from 55 SMEs, multiple correspondence analysis (MCA), and descriptive ERP analysis. Statistical analysis of the surveyed SMEs, primarily from manufacturing sectors, revealed that while a significant portion (37%) lacked ERP experience, 22.9% were in the process of implementing or actively using systems such as Oracle’s J.D. Edwards Enterprise One and SAP. The MCA highlighted ERP system configuration, vendor relationships, and user training as significant factors for successful ERP implementation, reported by 54.5% of the companies. Quadrant analysis further emphasized the influence of IT structure and legacy systems on implementation characteristics, with cluster analysis identifying three distinct groups of companies based on their ERP strategies. The findings underscore the importance of top management support, business process re-engineering, and external consultants for successful ERP adoption in SMEs, providing practical insights for optimizing innovation management in the digital era. Future research should investigate the long-term impacts of ERP systems on organizational performance and innovation sustainability. Full article