Search Results (2,036)

In the pursuit of operational excellence and enhanced competitiveness, a wide range of industries have turned to methodologies such as Lean and Six Sigma; however, in the chemical sector, their application is very limited. This paper presents a Lean Six Sigma framework to identify and reduce sources of variability occurring in the final product composition of a Spanish SME fertilizer manufacturer. The company faced important challenges related to product variability, adversely affecting overall productivity. A real-life case of the Lean Six Sigma implementation was conducted over two years, and its applicability and ability to improve productivity performance were thoroughly assessed. The proposed framework successfully integrated Lean and Six Sigma methodologies, i.e., process mapping (value stream mapping), root cause analysis (Ishikawa cause–effect diagram), project management (SIPOC and DMAIC), and statistical process control, and demonstrated practical benefits for the case company by identifying the key variables affecting product variability and determining their optimal levels. A substantial 50% reduction in the variability of several products and a 42% reduction in material preparation time were achieved. These reductions resulted in a 40% reduction in costs associated with product losses and a 54% reduction in costs from raw material losses. Full article

Modern workplaces increasingly use algorithmic management practices (AMPs), which shape task assignment, monitoring, and evaluation. Despite the potential benefits these practices offer, like increased efficiency and objectivity, their impact on workforce well-being (WFW) has raised concerns. Drawing on self-determination theory (SDT) and conservation of resources theory (COR), this study examines the relationship between algorithmic management practices and workforce well-being, incorporating job burnout (JBO) and perceived threat (PT) as parallel mediators and person–job fit (PJF) as a moderator. The research employed a cross-sectional survey design targeting 2450 KOSGEB-registered manufacturing SMEs in Istanbul, Turkey. A sample of 666 respondents participated, and the data were analyzed using Smart PLS 4, employing structural equation modeling to test the proposed model. The results indicated that algorithmic management practices significantly increased job burnout and perceived threat, both of which negatively impacted workforce well-being. However, the direct effect of algorithmic management practices on workforce well-being was non-significant. Person–job fit moderated the relationships between algorithmic management practices and both job burnout and perceived threat, further influencing workforce well-being. The findings underscore the critical need for organizations to balance algorithmic efficiency with human-centric practices. Prioritizing person–job fit and fostering transparency in algorithmic processes can mitigate negative impacts, enhance employee well-being, and drive sustainable organizational success in the digital age. Full article

The article examines modern approaches to energy management in the context of the development of Industry 5.0 with a particular focus on cybersecurity. Key tenets of Industry 5.0 are discussed, including the integration of advanced technologies with intelligent energy management systems (IEMSs) and the growing need to protect data in the face of increasing cyber threats. The challenges faced by small and medium-sized enterprises (SMEs) using solutions based on renewable energy sources, such as photovoltaic farms, are also analyzed. The article presents examples of IEMS applications and discusses methods for securing these systems, offering an overview of cyber threat protection tools in the context of modern energy management. The analysis carried out provided information that will help businesses make rational decisions and contribute to shaping the state’s macroeconomic policy on cybersecurity and energy savings. The results of this research can also help develop more effective strategies for managing technology and IT infrastructure, which is crucial in the digital age of Industry 5.0. Full article

This scholarly investigation examines the efficacy of Building Information Modelling (BIM) in enhancing cash flow forecasting (CFF) among construction Small and Medium-sized Enterprises (SMEs) in Saudi Arabia, with a specific focus on fostering innovation for sustainable economic advancement. In so doing, it seeks to strengthen the long-term viability of SMEs within the rapidly growing Saudi construction sector, thereby contributing meaningfully to broader economic goals. A quantitative research methodology was employed, with empirical data gathered through a questionnaire survey administered to one hundred construction stakeholders within Saudi Arabian SMEs. Quantitative data analysis techniques were applied to elucidate key themes and pressing issues in current CFF practices. The findings highlight critical challenges faced by Saudi Arabian SMEs in cash flow management, notably a scarcity of financial resources, a lack of advanced CFF expertise, and resistance to technological adoption. Integrating BIM into CFF processes emerges as an effective solution, addressing these challenges by providing accurate, timely financial data, improving project planning and execution, and enabling more informed decision-making, thereby fostering sustainable business operations. The proposed BIM integration strategy offers a practical roadmap for SMEs to adopt BIM for enhanced CFF, aligning with and advancing the sustainable economic objectives outlined in Saudi Arabia’s Vision 2030. By focusing on the unique context of Saudi Arabian construction SMEs and their specific cash flow management challenges, this study enriches the existing literature with substantive insights. It critically illustrates how BIM adoption can transform traditional financial management practices, presenting a robust framework for promoting sustainable economic development through innovation in CFF. Furthermore, these findings have significant implications for other developing economies seeking to leverage technological advancements as drivers of long-term growth. Full article

In today’s business world, small and medium enterprises (SMEs) are increasingly dedicated to social responsibility and environmental sustainability, gaining recognition from communities, investors, and customers who view them as socially and environmentally conscious. Thus, this research examines how Corporate Social Responsibility (CSR) orientation, commitment, and participation affect strategic business performance (SBP) of SMEs in hospitality sectors, along with the potential mediation function of CSR engagements. To investigate the proposed model, this study employed a cross-sectional dataset of 163 hospitality SMEs, incorporating 482 valid responses. The representative sample was analyzed using structural equation modeling (SEM), regression analysis, and bootstrapping techniques to test direct and indirect effects. Findings indicate that CSR orientation, commitment, and participation play vital roles as antecedents of SBP. In hospitality SMEs, adopting CSR practices is imperative for increasing SBP. This study bridges a crucial research gap, particularly in understanding how hospitality SMEs engage in CSR and its impact on business success, offering valuable insights for SME management, practitioners, and stakeholders. Full article

This paper aims to investigate the characteristics of outsourcing in accounting services for tourism SMEs as a choice to mitigate their financial risk. The research was carried out in summer 2022, during tourism recovery from the COVID-19 pandemic crisis, while the findings indicate that the majority of tourism SMEs choose to outsource their accounting services in order to reduce operating costs; to save their funds by exploiting a partner’s information systems; to take advantage of a partner’s accounting knowledge; to achieve greater flexibility in their core activities; and to speed up the processing of the accounting tasks in order to deal with any arising problems and/or difficulties. Furthermore, it is evident that in a constantly changing and complex tax system and a changing economic landscape, accounting outsourcing provides tourism SMEs with advantages such as already established processes, expertise, technology, consulting support, and pathways for dealing with the various accounting issues that may arise. Full article

The adoption of Data Networks and Application Programming Interfaces (APIs) has become crucial for small and medium enterprises (SMEs) to streamline operations, improve efficiency, and reduce costs. However, SMEs often face challenges such as resource limitations and security vulnerabilities, which hinder their ability to fully leverage these technologies. This systematic review examines the role of Data Networks and APIs in enhancing operational efficiency within SMEs, focusing on key metrics such as speed, cost reduction, scalability, and security challenges. Following PRISMA 2020 guidelines, we conducted a systematic search across multiple databases including Web of Science, Scopus, IEEE Xplore, and Google Scholar. Studies published between 2014 and 2024, focused on SMEs, and addressing the role of Data Networks and APIs in operational efficiency were included. A total of 49 studies met the inclusion criteria and were analyzed for key outcomes related to operational efficiency, cost-effectiveness, and security risks. The review found that Data Networks and APIs significantly improve operational efficiency by increasing process speed (12% increase), reducing operational costs (8% reduction), and enhancing overall productivity. However, security challenges, particularly related to API vulnerabilities, were a major concern, with cyberattacks on APIs increasing by 400% in Q1 2023 alone. Despite these risks, the benefits of implementing Data Networks and APIs in SMEs, particularly in terms of scalability and real-time data processing, were evident across industries. Data Networks and APIs offer substantial improvements in operational efficiency for SMEs, although security remains a significant challenge. Future efforts should focus on developing security frameworks tailored to SMEs while maintaining the operational benefits of these technologies. Further research is needed to explore scalable and secure API models for SMEs. Full article

The primary objective of this paper is to explore how management capabilities influence the sustainable business performance of women-owned SMEs in Bangladesh, encompassing the moderating role of technological capabilities and the mediating effect of conceptual competency. This research is necessary to address a gap in understanding how managerial capabilities can drive long-term growth for women-owned SMEs in emerging countries, thereby enhancing the broader discourse on women’s entrepreneurship and sustainable business practices. Data were collected from 216 women entrepreneurs across various SMEs in Bangladesh, and Smart PLS version 4 was employed for analysis. The measurement model was evaluated using factor loadings, Cronbach’s Alpha, Composite Reliability (CR), Average Variance Extracted (AVE), the Heterotrait–Monotrait (HTMT) ratio, and the Fornell–Larcker test. Structural model analysis was conducted, examining R², Q², f², beta coefficients, p-values, and t-statistics derived through bootstrapping. The results reveal that management capabilities significantly enhance sustainable business performance. However, technological capabilities were not found to moderate the relationship between conceptual competency and sustainable business performance. Additionally, conceptual competency fully mediates the relationship between management capabilities and sustainable business performance. The findings underscore the importance of fostering skills and competencies among women entrepreneurs in emerging economies to drive long-term business success. The study’s limitations and recommendations for future research are also discussed. Full article

Digital transformation (DT) directly influences organizational competitiveness, reshaping value creation and necessitating adaptation across industries. This study investigates how DT redefines strategic imperatives and the mechanisms of value creation within organizations, synthesizing findings from five thematic clusters: “Strategic Management in Digital Transformation of Organizations”, “Emerging Trends in Digital Entrepreneurship and Sustainability”, “Digital Capabilities and Business Model Innovation”, “Digitalization and Transformation of SMEs”, and “Value Creation through Innovation and Digital Transformation”. The analysis uncovers crucial insights, including the shift towards business-to-business (B2B) value-oriented sales, the role of big data analytics in collaborative innovation, and the integration of AI-driven business models across retail, logistics, and healthcare. Strategic alignment between technological advances and organizational goals emerges as essential, especially for SMEs facing resources, regulatory compliance, and skills development challenges. Despite these insights, significant gaps remain. Future research should delve into the underexplored area of cross-industry best practices, particularly how SMEs can leverage digital tools to enhance resilience and adaptability in market volatility. Further investigation into the long-term impacts of digital entrepreneurship on sustainability is recommended, including metrics for measuring social and environmental value creation. Additionally, digital leadership roles, such as Chief Digital Officers, warrant more in-depth examinations to identify how these leaders can navigate the complexities of DT and maximize value co-creation. This systematic literature review and bibliometric analysis aim to consolidate current knowledge, address critical gaps, and lay the groundwork for future studies that support resilient and sustainable growth in an increasingly digital economy. Full article

In the UK, SMEs account for 99.9% of the business population, with from 43% to 53% of UK business emissions coming from SMEs. However, SMEs face specific barriers in relation to net zero targets, such as a lack of knowledge about strategies to achieve net zero targets. Despite the ongoing lack of a formal decarbonisation plan for SMEs, various types of projects have been designed to help SMEs to move towards the UK’s net zero target. The Eastern New Energy (ENE) project received funding from the European Regional Development Fund (ERDF) to support SMEs across significant economic areas of the UK, namely the East of England, to help address the barriers that prevent SMEs from decarbonising. The project provided a range of measures, including raising their level of knowledge and providing technical support to help with SME decarbonisation. Following the completion of our targeted support activities, semi-structured interviews (n = 21) were conducted with SME beneficiaries to evaluate the effectiveness of the support with the ambition of providing some policy recommendations based on understanding how national and strategic support can be effective for a diverse, often unconnected ecosystem of businesses. The findings from the interviews indicated that engagement in the ENE project had positive impacts on the SMEs’ understanding of net zero, or how to start their journey towards decarbonisation by identifying their source of emissions and learning how to calculate them. However, accounting for emissions from Scope 3 activities, transition costs and building restrictions were the main barriers that undermined the ENE recommendations. Our research concludes that in designing engagement projects and support, one needs to acknowledge such restrictions and barriers, which requires government interventions to cover all aspects of the SME decarbonisation journey, from nuanced and responsive policy making to developing bespoke knowledge transfer and supporting low-carbon material provision that can support a decarbonised marketplace. Full article

This study explores the use of shape memory alloys, specifically nickel-titanium (NiTi- Ti-rich), in plate joining processes through riveting. Through the shape memory effect (SME), SMAs offer innovative solutions for joining components, mainly in the aeronautical and aerospace fields, indicating their promising applications. This research presents several characterizations, including differential scanning calorimetry, compression dilatometry, X-ray diffraction using synchrotron radiation, and thermomechanical testing, to assess the feasibility and performance of shape memory alloy rivets. In addition, the samples were subjected to recrystallization heat treatment to evaluate their reusability. The results demonstrated that shape memory alloy rivets are effective, achieving a maximum load of 340 N for two joined components. However, their application is optimal for materials with yield strengths lower than the stress-induced SME. Moreover, the process enhances the joined components’ hardening and increases the rivet’s thermal hysteresis. This research confirms the viability of shape memory alloys for riveting processes, offering a new avenue for advanced joining techniques. The findings provide a foundation for their further development and application in various industries requiring precise and reliable joining methods. Full article

This study analyzed the operational environment of supply chains involved in the production of eco-friendly plastics, with a particular emphasis on small- and medium-sized businesses worldwide. Qualitative research methods were used to highlight the significance of extended producer responsibility (EPR) regulations and strong recycling programs for the sustainability of small- and medium-sized enterprises (SMEs). Also, this study looked at international regulations affecting the implementation of circular economy strategies and the difficulties in creating sustainable supply chains. It concluded that waste reduction, effective supply chain management, and sustainable practices are crucial aspects of a more effective and sustainable global plastic-manufacturing sector. This research highlighted the significance of government policies in SME revival and used Multiple-Criteria Decision Analysis (MCDA) to help SMEs adopt sustainable supply chain practices that act as a catalyst for industry reform. Full article

Extant empirical studies investigate social commerce purchase intention from the perspective of swift guanxi dimensions while neglecting to explain how the purchase intention is influenced. This study proposed and tested a research model to unveil the relationship between swift guanxi dimensions (mutual understanding, reciprocity favor, and relationship harmony), trust in the seller and purchase intention while considering the mediation effect of trust in the seller in social commerce settings. Data from 421 social commerce youth consumers in Tanzania were used in PLS-SEM analysis to test the research model. Results revealed that except for reciprocity favor, swift guanxi dimensions positively influence purchase intention. The swift guanxi dimensions also positively influence trust in the seller. Further trust in the seller mediates the relationship between swift guanxi dimensions and purchase intention. This study recommends that social commerce micro, small, and medium traders embrace swift guanxi to drive consumer purchase intention. Swift guanxi dimensions foster a rapid and affirmative connection with the consumers, enhancing their trust in the seller. In turn, trust in the seller significantly enhances the likelihood of purchase intention, since the consumers feel safer and more confident in their buying journey. Therefore, by leveraging swift guanxi dimensions, social commerce sellers can effectively build business relationships based on a strong foundation, which not only drives immediate consumer purchases but also fosters enduring consumer devotion. Full article

Technological progress has driven the integration of new technologies in the field of industrial automation, but a structured framework is often lacking to efficiently guide the transition from traditional industries. This article presents the implementation of advanced technologies on FESTO’s (MPS-500) modular production system, using the reference architectural model for Industry 4.0 (RAMI 4.0) as a guide for scaling. It highlights the importance of the synergy between information technologies (ITs), which enables the development of a multi-level processing system. This system performs concurrent tasks, thus managing execution and manufacturing through an MES based on requests from the cloud. On the other hand, at a lower level, a fog computing system was integrated, which relieves the processing load by distributing processes locally. In addition, matrix mapping was performed to map the integrated technologies within the context of a reference model, allowing a clear alignment between the different levels of the system. The results show a significant reduction in waiting times between batches and operations, which directly improves productivity and offers greater flexibility, that is crucial for SMEs during their growth and scaling process towards Industry 4.0. Full article

Purpose: It is difficult for small- and medium-sized enterprises to modify themselves to achieve digital transformation; a digital empowerment platform can help small- and medium-sized enterprises (SMEs) to digitalize. Therefore, it is of great significance to identify the key factors of the development of logarithmic words. Design: This study first uses the ISM method to establish a network of influencing factors, identifies key factors from the perspectives of network structure and enterprise competitive advantage, and finally conducts a comprehensive analysis using a six-quadrant matrix. Findings: Capital, talent, and data collection and analysis technology are key factors driving the development of digital empowerment platforms. Standards, accurate and continuous industry information, and efficient and sustained co-operation with empowered industry enterprises and research institutions are key factors in establishing a sustained competitive advantage. This study proposes two development paths for enterprises and two policy recommendations. Originality: (1) The history of digital empowerment platform enterprises is relatively short, and there are relatively few studies on the influencing factors of its development. (2) By employing mathematical network analysis and competitive advantage analysis methods and comprehensively analyzing key factors, this study innovates the multi-factor evaluation method. Full article