This paper promotes supply chain performance, sustainability, and Industry 4.0 integration to boost competitiveness. Indonesia's textile industry's competitiveness depends on many factors. Indigenous factors, technology, vertical integration, and global supply networks drive competitiveness. This study uses descriptive data to examine 143 textile workers in Indonesia and provides important context for the sector. It demonstrates that various factors, such as native elements, technical readiness, vertical integration, and global supply chain participation, impact the competitiveness of Indonesia's textile sector. The findings suggest that policymakers and industry leaders should take strategic actions to enhance competitiveness, including encouraging collaboration, technical advancement, and local enterprise, as well as investing in technology, vertical integration, and global networking. Despite its cross-sectional approach and contextual complexity, the study is believed to enhance the competitiveness of the global textile industry. Our guidelines help stakeholders make strategic decisions that utilize regional strengths, adopt cutting-edge technologies, and integrate into global supply networks. Subsequent studies can examine industry differences and how these links change. This research helps Indonesian textile industry stakeholders make competitive decisions.

The apparel industry is one of the business sectors included in Micro, Small and Medium Enterprises (MSMEs) in Bali Province. These apparel industry MSMEs contribute to employment and economic growth in Bali, so their business sustainability must be maintained. Measuring the business performance of MSMEs in the apparel industry needs to be carried out on an ongoing basis to ensure that these MSMEs can survive in increasingly fierce competition. The objectives of this study are: first, to explain the role of innovation strategy in mediating the effect of entrepreneurial orientation on MSME business performance, and second, to explain the role of technological resources in moderating the effect of entrepreneurial orientation on MSME business performance. The research was conducted on apparel MSMEs in Bali with 220 respondents taken randomly. Data were analyzed using the Structural Equation Modeling-Partial Least Square (SEM-PLS) technique. The analysis results show that entrepreneurial orientation has a significant positive effect on the performance of MSMEs. Entrepreneurial orientation has a significant positive effect on innovation strategy, and then innovation strategy has a significant positive effect on MSME business performance. Technological resources strengthen the influence of entrepreneurial orientation on MSME business performance.

There is a universal consensus that improving employee performance is a cornerstone for any organization’s path to success and prosperity. However, when it comes to identifying what factors trigger such an improvement, there is anything but consensus among researchers. In this paper, a sample of government employees in the Sultanate of Oman is studied to discern the factors that affect employee performance. A factor analysis is applied to validate the constructs used to measure the various variables. A correlation analysis and a corresponding multiple linear regression is carried out to test the hypotheses. In contrast to many research findings, the results indicate that the only significant factor is technology; whereas leadership and organizational structure are neutral. The results are analyzed and discussed in view of the socio-cultural context of the Sultanate of Oman and the GCC region.

This research focuses on the moderating effect of culture on the relationships between KMS and other variables affecting KMS in the service industry. The effects of a number of variables on KMS were examined via analysis and hypothesis testing. These variables included culture; people; process; strategy; and technology. The results show that culture and people have a substantial impact on KMS's performance, emphasizing the need of cultivating a supportive company culture and empowering employees. Furthermore, strategy and technology were shown to be critical in allowing effective knowledge management practices in the service industry. The research also investigates the moderating impacts of culture on these linkages, demonstrating that culture modulates the impact of process, technology, and strategy on KMS. However, it was shown that the interplay between culture and people did not substantially alter the link between people and KMS. These results provide useful insights for firms looking to improve their knowledge management methods, underlining the need to take culture into account and aligning it with strategic goals and technology solutions. While the study adds to our understanding of knowledge management in the service industry, further research is needed to investigate other elements and situations. Overall, this research has practical significance for firms looking to enhance their knowledge management activities and overall organizational performance.

The epidemic of the COVID-19 has spread rapidly worldwide. This phenomenon has changed people's lifestyles as well as business activities. Many businesses are unable to operate normally, which is caused /or affected by supply chain disruption. Therefore, supply chain resilience after the COVID-19 pandemic is essential to maintaining the liquidity of businesses and increasing supply chain efficiency. This research aimed to examine factors influencing supply chain resilience and construct a structural equation model for supply chain resilience after the COVID-19 pandemic in Thailand's industries. A research framework was developed according to previous literature in the context of supply chain resilience. Five constructs, namely Technology, Flexibility, Collaboration, Agility, and Supply chain resilience, with seven hypotheses were established. A questionnaire survey was developed from the research framework and previous literature. Then, the validity and reliability test of the questionnaire were performed with the Index of Item Objective Congruence (IOC) technique and Cronbach’s alpha, respectively. The data was obtained from 426 business organizations in both the industrial and service industry in Thailand. The structural equation model (SEM) technique was conducted to examine the relationship between constructs. The results revealed that agility was only a factor that directly influenced supply chain resilience, while technology had an indirect effect on it via agility. However, technology has had direct effects on flexibility, agility, and collaboration.

Recently, there have been a growing number of articles focusing on the benefits of adopting e-SCM systems and the value of such systems in supply chain performance. However, less academic research was devoted to understanding factors affecting the adoption intention of such systems. This study uses the technology, organization, and environment (TOE) framework to examine factors that affect the adoption of e-SCM systems in Jordan, where limited research has been conducted in this country. Through an online survey filled by 251 participants via the LinkedIn website, the study shows that perceived relative advantage, financial resources, employee competency, top management support, competitive pressures, and customer pressure positively impact the adoption intention of e-SCM systems. The findings confirm the association between variables embedded in the TOE framework and the adoption intention of innovative supply chain systems and solutions and support earlier findings. According to the study findings, e-SCM systems providers should focus on the relative advantage these systems offer to increase the likelihood of their adoption.

Smart farming is a feasible solution to help farmers effectively and sustainably manage the potential threats and risks those traditional farmers face, such as product quality, increased production costs, the environment, climate change, natural catastrophes, pests, and inferior goods. Using a survey research design, this research examined smart farming adoption and risk management models by combining the Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT). The research sampled 400 farmers who are members of community enterprises in the northeastern region of Thailand. Data was collected using a questionnaire and analyzed using a statistical package program in four steps: confirmatory factor analysis, path analysis, structural equation model analysis (SEM), and Sobel's test. The findings revealed that government support variables had the most significant influence by adopting smart farming to risk management. Based on the research results, the government can apply this model to create strategies to encourage farmers to adopt smart farming and increase the production efficiency of agricultural products. The farmer can manage the risks of smart farming, which leads to sustainable smart farming and is useful for further academic acceptance and risk management studies. Furthermore, this study contributes to the existing literature on combining TAM and IDT in model adoption and risk management. The limitations include the small sample size adopted and the limited coverage area for the study, which restricts the generalization of the findings. However, the findings offer a glimpse into the benefits of smart farming.

This paper examines the technical efficiency of small-scale manufacturing enterprises in Vietnam. The research uses primary data from a survey from June, 2019 to August, 2019 with 321 observations of six subsectors, including Textile, Garment; Building materials; Vegetable, Fruit and Bulb; Manufacture of Steel; Furniture Manufacturing and Food Processing. The research’s results show that the mean technical efficiency was 71.26 percent. However, there are considerable differences between sub-sectors ranging from 55.97 percent to 95.97 percent. The above mentioned results indicate that with the same level of inputs, Vietnamese small size enterprises can increase the present level of output by 44.03 percent; 38.05 percent; 30.92 percent; 26.07 percent; 21.05 percent and 4.08 percent for the sectors of Food Processing, Building Material; Textile, Garment; Vegetable, Fruit and Bulb; Manufacture of Steel and Furniture Manufacturing, respectively. The estimated results further suggest that manufacturing small-scale enterprise in Vietnam should improve their technology, labor quality and the initiative of input materials, especially, the sectors of Textile, Garment; Building Materials and Food Processing in order to move the production frontier upward as their technical efficiency are maintaining at low level.

The relationship between the organization and its clients is the life of every enterprise, whether it is a multinational corporation of several billion employees and a multi-million-deposit business or sole traders with a handful of daily customers. The relationship between the organization and its traditions is the key concern. Between these two cases, consumer relationship management (CRM) is the same in theory and may differ significantly. Both the company and consumers have some factors to meet, such as the desires and expectations of all sides, before forming a contract. We need to earn a profit to succeed and to improve clients expect excellent support, better goods and reasonable pricing. The implementation of a CRM program will impact consumer service and customer knowledge for various purposes. Likewise, adopting a CRM strategy would definitely affect consumer loyalty and awareness. CRM guarantees that consumers are happy and strengthens ties between the company and its clients. Such practices improve the partnership between customers and sales representatives. The study carried out the quantitative approach in the delivery of the questionnaire to more than 100 bank customers. In concise and inferential statistics, the data were handled using the SPSS statistical method. Data indicates that the strong relationship between consumer loyalty and customer happiness of CRM technologies occurs and the stronger the overall customer satisfaction score, the larger the volume of CRM technology deployed.

The collaboration between the universities and industries is currently in the focus of attention globally. Governments, universities, and industries are interested in good and effective collaboration, which would be beneficial for all parties. To foster University-Industry Collaboration, and to help transfer the knowledge and technology between these two parties, academics, politicians and companies are paying attention to science and technology policies more than ever. In this study, the factors affecting the improvement of University-Industry Collaboration are identified and prioritized. In the first step, 20 factors are identified and 12 factors are selected using the Fuzzy Delphi method. Then, using the BWM method, prioritizing the extracted factors is determined for industry sponsorship of the university research. Finally, based on the results, the discussion is conducted and six major strategies are presented to improve this relationship.