Search Results (2,535)

This study develops a systemic framework to conceptualize digital organizational resilience in micro, small, and medium-sized enterprises (MSMEs) as an emergent property of entangled socio-technical systems. Building on theories of distributed cognition, sociomateriality, and resilience engineering, this paper argues that resilience does not reside in isolated elements—such as leadership, technologies, or procedures—but in their dynamic interplay. Four interdependent dimensions—human, technological, organizational, and institutional—are identified as constitutive of resilience capacities. The research design is conceptual and exploratory in nature. Two theory-driven conceptual statements are formulated: first, that natural language mediation in human–machine interaction enhances coordination and adaptability; and second, that distributed cognition and prototyping practices strengthen collective problem-solving and adaptive capacity. These conceptual statements are not statistically tested but serve as conceptual anchors for the model and as guiding directions for future empirical studies. Empirical illustrations from Ecuadorian MSMEs ground the framework in practice. The evidence highlights three insights: (1) structural fragility, as micro and small firms dominate the economy but face high mortality and financial vulnerability; (2) uneven digitalization, with limited adoption of BPM, ERP, and AI due to skill and resource constraints; and (3) disproportionate gains from modest interventions, such as optimization models or collaborative prototyping. This study contributes to organizational theory by positioning MSMEs as socio-technical ecosystems, providing a conceptual foundation for future empirical validation. Full article

Amidst global imperatives for environmental sustainability, this study investigates the nexus between carbon emissions reduction (CER), ownership structures, and total factor productivity (TFP) in Chinese enterprises—recognized as vital economic drivers facing carbon emissions pressures. Based on the theoretical frameworks of innovation offsets, agency cost theory, and upper echelons theory, with data from CSMAR (2009–2023), we proposed a positive effect of CER on TFP while examining the moderating roles of ownership structure metrics: chairman shareholding ratio, manager shareholding ratio, and ownership–control separation ratio. TFP estimation employed dual approaches: mean consolidation (TFP-Mean) and entropy weighting (TFP-Entropy) methods. The results confirmed CER exerts significantly positive impacts on TFP, with ownership structures demonstrating statistically significant yet directionally heterogeneous moderation effects. Heterogeneity analysis reveals heightened TFP sensitivity to carbon emission initiatives among private enterprises, foreign-owned enterprises, and small enterprises. Notably, the entropy weighting method exhibits substantial comparative advantages in TFP measurement. These findings underscore that advancing TFP necessitates simultaneously optimizing carbon emissions efficiency and ownership governance. Full article

The transition from soft to hard law is reshaping global agri-food governance, particularly in relation to sustainability and corporate responsibility. This article analyzes this shift by examining two regulatory approaches: voluntary instruments such as the OECD-FAO Guidance for Responsible Agricultural Supply Chains and binding EU directives like the Corporate Sustainability Due Diligence Directive (CSDDD) and the Corporate Sustainability Reporting Directive (CSRD). Using a qualitative and interpretive methodology, the study combines a literature review and two case studies (Nicoverde and Lavazza) to explore the evolution from soft law to hard law and the synergies and analyze how these tools are applied in the Italian agri-food sector and how they can contribute to improving corporate sustainability performance. Findings show that soft law has paved the way for more rigorous regulation, but the increasing compliance burden poses challenges, especially for small and medium-sized enterprises (SMEs). These cases serve as virtuous examples to illustrate how soft and hard law interact in practice, offering concrete insights into the translation of general sustainability principles into corporate strategies. A hybrid governance framework—combining voluntary and binding tools—can foster sustainability if supported by coherent policies, stakeholder collaboration and adequate support mechanisms. The study offers practical insights for both companies and policymakers navigating the evolving legal scenario. Full article

Despite the widespread adoption of network monitoring tools, Managed Service Providers (MSPs), specifically small- and medium-sized enterprises (SMEs), continue to face persistent challenges in achieving predictive, multi-tenant-aware visibility across distributed client networks. Existing monitoring systems lack integrated predictive analytics and edge intelligence. To address this, we propose an AI- and IoT-driven monitoring and visualisation framework that integrates edge IoT nodes (Raspberry Pi Prometheus modules) with machine learning models to enable predictive anomaly detection, proactive alerting, and reduced downtime. This system leverages Prometheus, Grafana, and Mimir for data collection, visualisation, and long-term storage, while incorporating Simple Linear Regression (SLR), K-Means clustering, and Long Short-Term Memory (LSTM) models for anomaly prediction and fault classification. These AI modules are containerised and deployed at the edge or centrally, depending on tenant topology, with predicted risk metrics seamlessly integrated back into Prometheus. A one-month deployment across five MSP clients (500 nodes) demonstrated significant operational benefits, including a 95% reduction in downtime and a 90% reduction in incident resolution time relative to historical baselines. The system ensures secure tenant isolation via VPN tunnels and token-based authentication, while providing GDPR-compliant data handling. Unlike prior monitoring platforms, this work introduces a fully edge-embedded AI inference pipeline, validated through live deployment and operational feedback. Full article

Introduction: This study explores the impact of logistics information technology (LIT) on supply chain relationships and distribution performance in small and medium-sized enterprises (SMEs) using South Africa as a case study. Although digital supply chain solutions are increasingly important, there is limited evidence of SME efficiency in emerging markets using LIT. Methods: This study utilises a survey of 313 SMEs from four South African provinces. Bayesian structural equation modelling (Bayesian SEM) was then used to examine LIT’s effects on distribution performances in terms of timeliness, product availability, and condition. Results: The results show that the adoption of LIT strengthens buyer–seller networks (β = 0.524, CI = [0.434, 0.613]) and improves distribution by enhancing both timeliness performance (β = 0.237, CI = [0.098, 0.372]) and product condition performance (β = 0.175, CI = [0.042, 0.259], β = 0.222, p < 0.001). However, it does not directly enhance product availability performance (β = 0.085, CI = [−0.030, 0.199]), signifying that LIT adoption by itself fails to improve product availability. The results also demonstrate that SME network relationships mediate the connection between LIT adoption and distribution performance metrics. Discussion: This study’s findings contribute to the literature and offer valuable information and guidance to policymakers as they underscore the importance for SMEs to invest in LIT integration and compatibility, as well as inventory optimisation and improved supplier communication to minimise transit time variation. Policymakers should support SMEs’ digital transformation through interventions including funding and training for LIT adoption. This study confirms the essential role of LIT in SME supply chains and illustrates that technology-facilitated relationships enhance distribution performance, which enhances SME competitiveness. Full article

In response to the changing international landscape and the risks associated with China’s supply chain security, conducting policy simulations on semiconductor supply chain security helps clarify the industry’s policies and governance strategies for semiconductor supply chain security in China. It also enables a better understanding of the current state and focus areas of China’s semiconductor supply chain security, which is of great significance for improving the security levels of semiconductor supply chains across provinces and cities and for constructing a secure, efficient, and autonomous semiconductor supply chain system. Firstly, this paper reviews the current research on semiconductor supply chains, supply chain security, and industrial policies. Secondly, based on the industrial policies for semiconductor supply chain security, an evolutionary game model is constructed, involving government departments, chain owner enterprises, and upstream and downstream small and medium-sized enterprises (SMEs) within the supply chain. Finally, the MATLAB R2016b system simulation method is employed to conduct a policy simulation analysis of China’s semiconductor supply chain security and further analyze the industrial policies related to semiconductor supply chain security. The results show that: (1) Supply chain security depends on multi-agent collaborative governance, with government leadership, and chain owner enterprises driving innovation in SMEs, improving digitalization levels, and ensuring supply chain autonomy and control. (2) Increasing government management revenue, raising the responsibility costs for chain owner enterprises, and reducing the innovation costs for SMEs can accelerate the achievement of the ideal governance state. Lastly, policy recommendations are proposed to build an autonomous and controllable supply chain system. Full article

This study investigates sustainability-oriented design and production practices in Slovenia, focusing on brand-led approaches grounded in local innovation, cultural heritage and community engagement. Through mapping of Slovenian fashion enterprises, the research identifies and analyzes core sustainability and circularity strategies including zero- and low-waste design, recycling, upcycling and the development of adaptable, long-lasting garments. Further attention is given to participatory design methods involving consumers, the strategic social media use for community building and service-based circular economy models such as lifetime garment repair. Technological and production innovations, localized supply chains and small-scale production models are assessed for their role in reducing environmental impact and advancing sustainable supply chain management. The study also analyzes initiatives to shorten the fashion loop, including dematerialization and production minimization, as pathways to reduce resource consumption. Methodologically, the study combines empirical fieldwork, participant observation and literature review to deliver a comprehensive analysis of Slovenia’s sustainable fashion sector. The findings contribute to the global discourse on regional and place-based sustainability in fashion demonstrating how design-driven, small- and medium-sized enterprises can integrate circular economy principles, cultural continuity and collaborative innovation to foster environmentally responsible and socially embedded fashion. Full article

This paper aims to conduct a gap analysis and explore the potential for greenhouse gas (GHG) emissions reduction in the tourism sector of Chiang Mai province, with the goal of promoting sustainable tourism. Chiang Mai is a major tourism hub in Thailand, located in the Northern Economic Corridor (NEC). The gap analysis of small- and medium-sized tourism enterprises will be examined across four dimensions: (1) management, (2) socio-economy, (3) cultural, and (4) environmental. In 2024, Chiang Mai’s tourism revenue accounted for 46.97% of the northern region’s total tourism revenue and 3.73% of Thailand’s total tourism revenue. Given this economic significance, the development of sustainable tourism should be accelerated to meet the expectations of new tourists who are increasingly concerned about the environment. To address this need, this study analyzes the gaps in small- and medium-sized tourism enterprises and assesses GHG emissions through interviews and surveys of 90 tourism-related establishments across nine sectors: hotels, restaurants and beverages, tour agencies, transportation, souvenirs, attractions and activities, spas and wellness, community-based tourism, and farm tourism. The total GHG emissions from these establishments were found to be 15,303.72 tCO₂eq. Moreover, if renewable energy from solar power were adopted, an installation capacity of 21,866.84 kWp would be required. Such a transition would not only reduce emissions, but also support low-carbon development in small- and medium-sized tourism enterprises and ultimately contribute to achieving net-zero tourism. Finally, this study contributes to the advancement of STGs 1–17, adapted from the SDGs 1–17, with particular emphasis on SDG 7 on clean energy and SDG 13 on climate change. Full article

This empirical qualitative research explores the texts of 14 free trade agreements (FTAs) concluded by Arab Gulf countries individually or as block. The objective is to evaluate if these documents are gender-responsive using an internationally recognised framework that qualitatively measures if the agreements are used effectively as a tool to economically empower women. We find that although most of the agreements contain some gender provisions, gender mainstreaming remains limited to encouraging women-owned and women-led small and medium enterprises. This makes them at best limitedly responsive to addressing the gender inequalities that women in export-engaged businesses face. The conclusion outlines the areas for potential improvements in the dozens of agreements currently negotiated by Gulf economic diplomats. Full article

As small–medium-sized enterprises (SMEs) increasingly adopt cloud technologies, understanding the factors influencing this shift is crucial as it helps to optimize cloud integration strategies, enabling SMEs to thrive in today’s digital economy. A cross-sectional, quantitative survey was conducted in February 2022 on 626 employees of SMEs in the USA, based on the TAM-2, TAM-3, and UTAUT-2 models. The questionnaire presented satisfactory reliability, as well as factorial and convergent validity. Employees presented positive behavioral intentions to use cloud technologies, particularly during the COVID-19 period. SMEs were satisfied with the use of Software as a Service (SaaS), Infrastructure as a Service (IaaS), and the public cloud development model in the wake of the COVID-19 period. Behavioral intention to use cloud technologies was linked with higher performance and effort expectancy, price, perceived enjoyment, computer self-efficacy, and social influence. A higher behavioral intention was observed in employees (a) with a mid–top-level role; (b) who worked in finance and insurance, information services data, construction, or software and in an SME with 26–500 employees; (c) who had a master’s degree; (d) were 35–44 years old; and (e) had family obligations. Higher experience with the use of cloud technologies enhanced the positive impacts of effort expectancy, computer self-efficacy, and perceived enjoyment on behavioral intention. Full article

This study examines how green talent management (GTM) practices foster sustainable supply chains in micro, small, and medium-sized enterprises (MSMEs) in Quito, Ecuador. It analyzes how sustainable leadership, green organizational culture, and sustainability-oriented training influence employees’ pro-environmental motivation, organizational commitment, and sustainability attitudes, which in turn mediate the adoption of green logistics practices, supply chain efficiency, and organizational resilience. A quantitative design was employed, using survey data from 280 MSMEs analyzed through structural equation modeling. The findings demonstrate that GTM enhances employees’ motivation, commitment, and sustainability attitudes, which act as the primary behavioral mechanisms translating managerial practices into sustainability outcomes. Theoretically, the study integrates Green HRM and supply chain research with multiple organizational behavior theories, including Social Exchange Theory, the AMO model, the Theory of Planned Behavior, and the Resource-Based View. Empirically, it contributes novel evidence from Ecuadorian MSMEs, a context often underexplored in sustainability research. Practically, the study highlights leadership, culture, and training as strategic levers for building greener, more efficient, and more resilient supply chains. The results offer actionable recommendations for MSME managers and policymakers in Ecuador, highlighting the importance of investing in people as the foundation of sustainable competitiveness. Full article

In the tourism industry, loyalty is a crucial factor that can significantly impact a business’s success and survival. In niche markets such as wine and beer, it is even more relevant, as in Mexico, most businesses are small and medium-sized enterprises. This study aimed to compare the influence of experience and price on tourist loyalty between wine and beer, using a sample of 245 adult tourists in Baja California, Mexico. Structural equation modeling using partial least squares (PLS) was employed for data analysis, utilizing an embedded two-stage approach. It was found that there is no significant difference in the influence of experience and price on loyalty, regardless of the type of beverage being consumed. In both cases, price is the variable that most influences tourist loyalty, although the influence of experience on loyalty is also significant but only for beer. These results enable the development of targeted marketing strategies for regions that focus on gastronomic tourism centered on these types of beverages. In addition to practitioners concentrating on developing a sensory, affective, and behavioral experience for tourists, it is also essential to set an attractive price for the consumer. Full article

Small and medium-sized enterprises face significant challenges in effectively implementing design thinking due to limited resources, leadership skepticism, and a paucity of suitable frameworks. This study addresses these challenges by developing and validating a web-based Design Thinking and Innovation Strategy Toolbox tailored to SME needs. The Toolbox is designed to align with the ISO 56001:2024 Innovation Management Systems standard and was developed through systematic literature reviews and expert interviews, shaping practical modules based on previously identified barriers and success factors. A multi-round Delphi study with 14 experienced consultants refined the Toolbox, focusing on usability, ISO compliance, and practical relevance. The results indicate strong consensus among experts regarding its clarity, adaptability, and alignment with SME constraints, while also highlighting areas for improvement such as visual design and continuous feedback mechanisms. Preliminary validation suggests that the Toolbox can support SMEs in improving sustainable innovation, strategic alignment, and capability development. By addressing contextual constraints, this research contributes to the field of design-led innovation in SMEs by offering a practical, ISO-compliant tool that connects theory and practice in resource-limited environments. Full article

The aim of this study was to identify and explore the most significant barriers in implementing smart manufacturing (SM) in terms of small and medium enterprises (SMEs). A two-round Delphi method was used to uncover them in this regard. To assess the reliability of the obtained results, Cronbach’s alpha, Intraclass correlation coefficient, and a statistical F-test were performed for both rounds. Cronbach’s alpha for round 1 was 0.729, and 0.816 for round 2. On this basis, good inter-rater reliability was demonstrated in round 2. At the same time, the Intraclass correlation coefficient from round 1 was 0.54, and from round 2, it was 0.74, indicating a significant improvement in panel consensus. The comparison of the equality of variances within the two rounds using the F-test confirmed that a third round of the survey was not necessary. Moreover, the coefficient of variation and relative interquartile range were applied to assess internal consistency among the involved experts to come to a more comprehensive and cohesive understanding of the issue at hand. A total of 30 barriers/limitations or shortages were identified in the preparatory phase of the research, which, in some sense, do not allow or slow down the implementation of the SM. The Delphi survey found that financial problems, lack of government support, and technological constraints can be considered as the most serious barriers to the implementation of SM in an SME environment. Finally, the obstacles/constraints or shortcomings that proved to be the most critical were analyzed in terms of their impact on the ability of small and medium-sized enterprises to embrace the challenges of smart manufacturing. Full article

As digitalization and environmental sustainability advance globally, small and medium-sized enterprises (SMEs) are facing transformative pressures as well as emerging opportunities. Rapid digital innovation promotes intelligent production, cost reduction, efficiency gains, and improved management practices, while green development mandates emphasize energy conservation, emissions reduction, and sustainable supply chains. Amid concurrent digital and green transformations, SMEs are leveraging digital technologies to bolster green learning and enhance sustainable product development. This study investigates the digital–green learning orientation (DGLO) and its influence on ambidextrous research and development (R&D) capabilities, which in turn shape sustainable product development performance (SPDP). Drawing on survey data from 306 SMEs in eastern and southern China, multiple regression analysis was employed to assess the relationships between DGLO, ambidextrous R&D capabilities, and SPDP. The findings reveal that DGLO significantly enhances SPDP. Moreover, DGLO promotes SPDP through both exploitative and exploratory R&D capabilities, with each playing a complementary role. Full article