Search Results (1,106)

This research intends to evaluate the effect on the performance of small and medium enterprises (SMEs) of technological developments, including digital marketing, and to determine the variables that affect the relationship. Because these businesses are essential to driving local economies, boosting local economic growth, and creating job opportunities, this is a very important question, and figuring out how to best help them succeed through digital marketing is critical. The data were generated from a sample of 190 marketing companies, and each of the managers of these companies was surveyed for the information needed. This research focuses on the impact of SMEs’ performance through digital marketing strategies, including online advertising, social media marketing, search engine optimization (SEO), and customer engagement through digital channels. A further analysis was performed looking at the mediating effect of digital transformation on the relationship between digital marketing and firm performance. The theoretical lens in the current study is the Technology Acceptance Model (TAM), which argues that technology use depends on perceived use and perceived usefulness. The results revealed that digital marketing is essential for SME effectiveness, as a driver of digital transformation, leading to stronger economic results and an enlarged market presence. Engagement with customers on digital channels to understand their behavior and preferences helps organizations create better experiences and products, and sell smarter as well. This offers application insights to the practitioners and proves the empirical data telling the SMEs how to plan the adoption of digital marketing. It also offers policy recommendations to authorities on how to promote digital innovation and provide financial and technical assistance to SMEs in this vital area. Full article

For small and medium-sized enterprises (SMEs) seeking to adhere to sustainable standards and gain a sustained competitive edge, green marketing and cleaner production are increasingly imperative. Green marketing has grown a lot in popularity in the present market, which makes it possible to rebrand and repackage existing products. This study looks at how green marketing in Algerian industrial SMEs might help achieve sustainability through cleaner production. Data analysis was performed using Smart PLS 4 softwareV.4.1.0.8 and structural equation modeling. With a mediation effect of 47.4%—higher than the direct impact of cleaner production on sustainability—the study’s conclusion is that green marketing strongly mediates the relationship between cleaner production and sustainability. This suggests that by combining green marketing with cleaner production methods, SMEs can reap significant profits. In accordance with their financial and environmental goals, SMEs can effectively incorporate cleaner production methods and green marketing with the help of the research’s practical recommendations. Full article

Customers in resource-poor communities still grapple with many information and communication technology (ICT) failures as they strive to access goods and services in small and medium enterprises near them. From a customer perspective, these challenges often lead to stress-related issues such as frustrations and anxiety, which can even result in transaction abandonment. Extended ICT failures result in SMEs failing to achieve sustainable e-commerce. This study delves into the impact of ICT initiatives by SMEs in stress-inducing environments on customers’ quality of life. The study further examines whether customer stress and happiness play a role in this association. Quantitative data were acquired using the mall intercept method, while the developed hypotheses were examined using structural equation modeling (SEM) in SMART-PLS 4. The results shed light on how customers navigate daily ICT-related failures experienced by SMEs operating in poor resource communities as they strive for happiness and stress-free lives, ultimately leading to an improved quality of life. The study recommends that the government, through its agencies, the Department of Communications and Digital Technologies and the Department of Science and Technology, among others, not only create an environment supporting SME ICT initiatives but also find strategies for sustaining SME ICT adoption for improved human well-being and socio-economic development within resource-constrained communities. Full article

As the number of Small and Medium Enterprises (SMEs) rises in the world, the amount of sensitive data used also increases, making them targets for cyberattacks. SMEs face a host of issues such as a lack of resources and poor cybersecurity talent, resulting in multiple vulnerabilities that increase overall risk. Cybersecurity risk assessment frameworks have been developed by multiple organizations such as the National Institute of Science and Technology (NIST) and the International Organization for Standardization (ISO), but they are complicated to understand and challenging to implement. This research aimed to create an effective cybersecurity risk assessment framework specifically for SMEs while considering their limitations. This was achieved by first identifying common threats and vulnerabilities and categorizing them according to their importance and risk. Secondly, popular frameworks like the NIST CSF and ISO 27001/2 were analyzed for their proficiencies and deficiencies while identifying relevant areas for SMEs. Finally, novel techniques catered to SMEs were explored and incorporated to create an effective framework for SMEs. This framework was also developed in the form of a tool, providing an interactive and dynamic environment. The tool was effective, and the framework is a promising start but requires more quantitative analysis. Full article

The development of digital finance provides new opportunities for solving the dilemma of innovation financing for small- and medium-sized enterprises (SMEs). This study empirically examined the heterogeneous characteristics and mediating mechanisms of digital finance and its incentive effects on SME innovation using panel data of Chinese and GEM board-listed companies from 2010 to 2021. It was found that digital finance can significantly incentivize SME innovation; however, there are differences in efficacy among digital finance sub-dimensions, with breadth of coverage having the strongest effect, followed by depth of use, and digitization degree having a non-significant effect. Meanwhile, there is heterogeneity in the incentive effect of digital finance on SME innovation, which is manifested as private SMEs and SMEs in regions with stronger financial regulations and a higher degree of marketization being more likely to be incentivized by digital finance to innovate. In addition, digital finance can indirectly incentivize SMEs to innovate through three paths: alleviating financing constraints, improving risk tolerance, and solving information asymmetry. Full article

The food industry has tried to enhance production processes in response to the increasing demand for safe, high-quality Home Meal Replacement (HMR) products. While robotic automation systems are recognized for their potential to improve efficiency, their high costs and risks make them less accessible to small and medium-sized enterprises (SMEs). This study presents a simulation-based approach to evaluating the feasibility and impact of robotic automation on HMR production, focusing on two distinct production cases. By modeling large-scale and order-based production cases using simulation software, the study identified key bottlenecks, worker utilization, and throughput improvements. It demonstrated that robotic automation increased throughput by 31.2% in large-scale production (Case A) and 12.0% in order-based production (Case B). The actual implementation showed results that closely matched the simulation, validating the approach. Moreover, the study confirmed that a single worker could operate the robotic system effectively, highlighting the practicality of robotics for SMEs. This research provides critical insights into integrating robotics to enhance productivity, reduce labor dependency, and facilitate digital transformation in food manufacturing. Full article

Taking into consideration the moderating role of perceived organizational support within the framework of the natural resource-based view (RBV) theory, the purpose of this study is to investigate the connection between corporate social responsibility (CSR) and sustainable environmental performance. Specifically, this study focuses on the roles that green capability and green transformational leadership play as mediators in this relationship. Through the use of a survey questionnaire, information was collected from 420 employees working for small- and medium-sized enterprises (SMEs) in Bangladesh. The data were analyzed with the help of AMOS and SPSS. The findings indicate that the level of CSR has a significant impact on the performance of sustainable environmental practices. To a large extent, green capability and green transformational leadership serve as mediators in the relationship between CSR and sustainable environmental performance. Furthermore, perceived organizational support plays a significant role in moderating the relationship between CSR and sustainable environmental performance. The relationship between green transformational leadership and sustainable environmental performance is also significantly moderated by perceived organizational support. This is a significant contributor to the connection. This multidimensional corporate social responsibility model can be used to assess sustainable environmental performance in both industrialized and developing countries, and it can also be extended to other service sectors, according to the theoretical conclusion that can be drawn from the research. This research demonstrates that there is a direct connection between corporate social responsibility and sustainable environmental performance. As a result, practitioners are able to develop strategies that are effective in terms of corporate social responsibility. These findings should be taken into consideration by policymakers and managers who are dedicated to promoting equitable development of the country. Full article

Data mining (DM) and machine learning (ML) are widely used in production planning and scheduling. Their application to production time estimation leads to improved planning and scheduling accuracy, resulting in increased overall efficiency. Small and medium-sized enterprises (SMEs) often have a small amount of data, which results in the limited adoption of DM and ML. Instead, production time estimation is still performed using rough approximations, which are inaccurate and non-reproducible. Therefore, this article proposes an ML methodology for production time estimation. It is adapted to the needs of SMEs and is applied with limited data. The methodology is based on the categorization of four job types (from A to D), the partitioning of data according to the limit theorem of data convergence, and the definition of risk based on metrics of probability and statistics. ML was applied by WEKA Workbench (Waikato Environment for Knowledge Analysis). It is also integrated into the Cross Industry Standard Process for DM. The methodology was implemented on data from a medium-sized company, Schoepstal Maschinenbau GmbH, for job types A and B to estimate machine/job cycle time, manufacturing cycle time, and lead time. Different accuracies were obtained for individual estimation models, confirming the strong dependence of the models on data quality. Suitable models were found for the implementation of the estimation of the manufacturing cycle time and the machine/job cycle time. The modeling of lead time estimation was unsuccessful. This was due to the weak dependence between the learning values and the values of the selected model attributes. The implementation of the methodology for job types C and D is the subject of further research. Full article

In this work, a nonparametric method is proposed to jointly test the significance of the regression coefficient estimates in a logistic regression model and identify which explanatory variables are effective in predicting the binary response. The motivating example is related to the factors affecting the propensity of Italian Small Medium Enterprises (SMEs) to innovate. The explanatory variables of the model represent firms’ characteristics, such as size and age, and the possible effect of the sector of economic activity is taken into account by including a set of binary variables as control factors. The dependent variable indicates whether a company, in the period under study, introduced at least one product or process innovation. Therefore, it is also dichotomous, and the logistic regression model is appropriate for representing the relationship between explanatory variables and dependent variable. Specifically, the logit transformation of the firm’s propensity to innovate, i.e., the probability that a company randomly chosen from the population of Italian SMEs has introduced an innovation or, equivalently, the proportion of innovative companies among the Italian SMEs, is expressed as a linear function of the predictors (explanatory and control variables). The proposed test is based on the permutation approach and satisfies important statistical properties, proved in a simulation study. The test is more flexible and robust than the classic parametric approach, and is preferable to typical stepwise regression procedures for the selection of a parsimonious and effective model. Full article

The Industrial Internet of Things (IIoT) enhances and optimizes operations and product quality by reducing expenses and preserving critical factory components. The IIoT can also be integrated into the processes of small and medium-sized enterprises (SMEs). However, several factors and risks have discouraged SMEs from adopting the IIoT. This study aims to identify the factors influencing IIoT adoption and address the challenges by conducting semi-structured interviews with experienced stakeholders in SME factories. Group quotations and thematic analysis indicate essential themes from these interviews, suggesting two primary categories, human- and machine-related factors, that affect implementation. The main human-related factor is the decision making of high-level management and owners to implement the IIoT in their plants, which requires skilled individuals to achieve IIoT solutions. Machine-related factors present several challenges, including device compatibility-, device management-, and data storage-associated issues. Comprehending and addressing these factors when deploying the IIoT can ensure successful implementation in SMEs, maximizing the potential benefits of this technology. Full article

Strategic entrepreneurship behaviors enhance business performance and sustainability in Turkish SMEs by fostering innovation and leveraging competitive intensity for sustained growth. Employing strategic leadership theory, this study examines the effect of strategic entrepreneurial behaviors on business performance through the mediation role of business model innovation (BMI) and the moderation effect of competitive intensity. A quantitative approach was used, and data from 313 managers and business owners in Turkish small and medium enterprises (SMEs) were collected using a structured questionnaire. The results have shown that strategic entrepreneurial behavior significantly and positively impacts business performance and business model innovation. Business model innovation, in turn, positively affects business performance. Competitive intensity moderates the relationship between strategic entrepreneurial behavior and business model innovation, strengthening it under higher competitive pressure levels. However, competitive intensity does not moderate the direct link between strategic entrepreneurial behavior and business performance. At higher levels of competitive intensity, the conditional indirect effect of strategic entrepreneurial behavior on business performance through business model innovation becomes more prominent. The findings of this study offer actionable insights for enhancing SME performance through strategic entrepreneurship, innovative business models, and competitive strategy adaptation. Full article

Coopetition, while offering significant strategic advantages, presents challenges in maintaining long-term collaboration among competitors, often due to a lack of perceived value for the participating actors. This study explores the role of technology in overcoming these challenges by applying the Service-Dominant Logic (S-D Logic) framework to investigate how technology-driven networks can enhance value co-creation among small and medium-sized enterprises (SMEs). The study hypothesizes that transitioning to technology-driven coopetition networks can substantially improve value co-creation. To test this hypothesis, the research critically evaluates existing theoretical approaches to coopetition, identifies gaps in understanding value creation mechanisms, and implements an experimental technology-driven coopetition network leveraging Internet of Things (IoT) technology. The research design is applied explicitly to the Portuguese ornamental stone industry, a significant economic and cultural sector. The findings confirm that technology-driven coopetition networks can enhance value co-creation and improve outputs. These results suggest that integrating technology into coopetition frameworks can provide a viable path to sustaining competitive advantages in SMEs. Full article

Taking the innovation chain (IC) as the perspective, we discuss the effect of digital transformation (DT) on enterprises’ green innovation (GI) using data from Chinese listed companies from 2013 to 2021. The results show that DT has a positive effect on enterprises’ GI, and this effect is not only reflected in the quantity of green patent applications but also the GI efficiency and quality. Heterogeneity analysis shows that DT has a positive effect on GI for both large firms and small and medium-sized enterprises (SMEs), but the effect is greater for SMEs. Relative to enterprises that have received governmental incentive-based industrial policies, the effect is smaller in the enterprises that have no incentive-based industrial policies and are subjected to command-based environmental regulations. As the level of industry competition increases from low to high, the impact of DT on GI will grow. However, when the level of industry competition becomes excessively high, the impact will decrease. DT positively affects enterprises’ GI behaviors by facilitating the cultivation of human capital, improving the allocation of innovation resources, and increasing the level of cooperative green innovation. Full article

E-commerce has become uniquely relevant to small- and medium-sized enterprises (SMEs) as an essential catalyst for their growth and sustainability. SMEs see e-commerce portals as a strategic way to engage in digital business activities without having to implement costly proprietary e-commerce solutions. In addition, partnering with these portals frees them from complex tasks such as positioning, portal maintenance, and adapting the portal to new technologies and trends. This multifaceted advantage positions e-commerce portals as invaluable partners, streamlining operations and allowing SMEs to focus more on their core business competencies. However, e-commerce portals or e-marketplaces are not without their challenges. Today, they face increasing pressure to reduce their environmental impact and to empower local commercial businesses, as well as local businesses in the entertainment and culture industry. To address these challenges, there is a pressing need to propose new types of e-marketplaces that support the concept of the 15-minute city and in which virtual and augmented reality play a key role. These marketplaces would not only boost environmental sustainability but also strengthen the connection between local businesses and the community, creating a stronger and more collaborative network that benefits both businesses and consumers. Full article

Small and medium-sized enterprises (SMEs) play a critical role in promoting the development of China’s real economy and improving national productivity, but their financing still faces challenges. In recent years, supply chain finance (SCF) has become one of the most important solutions to SMEs’ financing difficulties. Promoting the digital and innovative development of SCF can better meet the financing needs of SMEs. This study is based on a case study of Zhejiang MYbank Co., Ltd. (MYbank) in Hangzhou, China, which is a representative institution of digital supply chain finance development in China and committed to realizing the digital innovation development of SCF. Based on MYbank’s financial index data from 2018 to 2022, the implementation effect of MYbank’s digital supply chain finance is quantitatively analyzed from the perspectives of SMEs and MYbank. The main findings are as follows.(1) In the practice of digital supply chain finance, MYbank implements the new concepts of SCF decentralization and full coverage of supply chain links while enhancing the sustainability of SCF. (2) For SMEs, MYbank’s digital supply chain finance development has led to an increase in the financing scale and financing availability of SMEs. (3) The analysis of MYbank’s comprehensive benefits shows that the digital innovation development of SCF effectively increased the overall economic value of the enterprise during the period of 2018–2022. Based on these findings, this study provides implications for commercial banks and other financial institutions to develop digital supply chain finance. Full article