This study provides a comprehensive analysis of supply chain management practices based on survey responses from a sample of enterprises. Through descriptive statistics, hypothesis testing, predictive modeling, advanced analytics techniques such as classification, clustering, and association rule mining, the research offers valuable insights into key areas of collaboration, quality management, technology adoption, agility, risk management, and customer responsiveness within supply chains. The findings highlight the importance of strategic integration, proactive problem-solving, customer-centric practices, and agility in meeting changing demands. The study also identifies distinct profiles of practice adoption and reveals intricate relationships between different supply chain practices. Overall, the research contributes to a deeper understanding of supply chain dynamics and offers actionable insights for improving operational performance and strategic decision-making.

This study examines the influence of strategic flexibility, innovation culture, agility, ambidexterity, and open innovation on sustainable competitive advantage, with corporate innovation and collaborative marketing tourism competitiveness as mediating variables. Data was collected directly through structured interviews guided by questionnaires. The research population was 534 registered "craft" creative industry companies including pearls, "Sasak" ikat weaving, and pottery in West Nusa Tenggara Province, Indonesia with the analysis unit being managers or assistant managers. The sampling method used stratified proportional random sampling with a sample size of 240 respondents. Data analysis in this study used descriptive statistics and Covariance-based SEM (Amos software). The findings prove that the eleven hypotheses which stated that there was a direct influence of the variables studied were all confirmed. Strategic flexibility and a culture of innovation play a role in increasing company innovation. Strategic flexibility plays a role in increasing the collaborative competitiveness of marketing tourism. Agility, ambidexterity, and open innovation play a role in increasing sustainable competitive advantage. Corporate innovation and collaborative competitiveness marketing tourism play a role in increasing sustainable competitive advantage. These results are very important to fill the research gap regarding the factors supporting innovation and collaborative competitiveness marketing tourism, and sustainable competitive advantage in Indonesia.

In the rapidly evolving landscape of supply chain management, the advent of the metaverse presents a novel frontier with significant potential for enhancing operational effectiveness and excellence. This study aims to examine the effect of metaverse adoption on various dimensions of the supply chain, including resilience, agility, flexibility, and performance. Utilizing a quantitative research approach, the research analyzes survey data from a significant sample size of 737 organizations that have adopted metaverse technology into their supply chain operations. The employment of partial least squares structural equation modeling (PLS-SEM) offers a comprehensive understanding of the metaverse's role in enhancing the dynamism and efficiency of supply chains. This study contributes to the emerging field of digital transformation in supply chain management by providing empirical evidence on the effectiveness of metaverse technology. It bridges the gap in literature regarding the practical application of advanced digital solutions in enhancing supply chain operations and sets a foundation for future research in this area.

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.

This study investigates the impact of cloud-based supply chain management on organizational agility, using a Structural Equation Modeling (SEM) approach. The research is motivated by the growing importance of cloud computing in supply chain management and the need for empirical studies that assess its benefits and challenges. Drawing on a survey of 200 supply chain managers from various industries, we develop and test a theoretical model that explores the relationships between cloud adoption and organizational agility. Hypotheses for the study are tested using the structural equation model. According to the study, Cloud-based SCM has a statistically significant effect on agility and flexibility. The findings have important practical and theoretical implications and provide insights that can help managers and practitioners make informed decisions regarding the implementation of cloud-based SCM solutions and the development of strategies that enhance supply chain agility and competitiveness.

This study aims to examine the role of strategic agility to achieve competitiveness by analyzing the mediating effect of knowledge management construct in Jordanian’s public higher education institutions. The study reviewed the existing literature addressing the knowledge management and strategic features of the organizations. The resource‐based view theory is the lens of linking the knowledge management with strategic outcomes of the organizations. The hypothesized theoretical model was tested using a quantitative research method through questionnaire. A PLS-SEM approach was utilized to conduct the key analytical procedure and test the proposed research hypotheses. The results found a significant and positive effect of both strategic agility and knowledge management on achieving competitiveness. On the contrary, knowledge management showed no effect on competitiveness. But it had a mediation effect of the strategic agility on achieving competitiveness. Future research suggestions provided resulting from the research implications to provide different research methods and models.

This paper examines the complex interdependencies between the big data analytics capabilities, competitive intelligence, organizational agility, and organizational outcomes in the telecommunication industry in Jordan. Using a quantitative design and data gathered through 350 participants and processed by SmartPLS. The results show that big data analytics capabilities influence organizational outcomes in a positive manner both directly and indirectly via competitive intelligence. Although competitive intelligence does not influence organizational outcomes directly, it mediates the relationship between the big data analytics capabilities and organizational outcomes significantly. Moreover, organizational agility is identified to moderate positively between big data analytics capabilities and organizational outcomes, which underscores its significant contribution to boosting the success of analytics. These findings present important theoretical insights by clarifying the processes by which big data analytics competencies are transformed to generate better organizational performance, as well as have practical implications to telecommunication companies seeking to better exploit their data assets.

Dry Port, a supply chain company, strives to bring its workers up to speed in the current VUCA world. The study explores the degree to which ambidexterity affects agility, which can impact organizational effectiveness. The structural equation model with multilevel simulation used to test the research hypothesis. The study indicates that ambidexterity is an influential factor to agility, and that ambidexterity is also an impactful factor to agility and organizational effectiveness. Furthermore, there is also evidence that the power of agility contributes to greater organizational effectiveness, and also that ambidexterity has an impact on organizational effectiveness through workforce agility. To achieve organizational effectiveness in dry port business, mobile devices and social network technology are functional enablers of ambidextrous activities that can allow staff to be agile in handling dry port business tasks.