Using technology, such as human-machine interfaces, can enhance operational performance processes and increase the flexibility of the supply chain. Human-machine interfaces can produce operational control systems quickly and accurately. The research aims to explore the impact of human-machine interface on operational performance through collaborative decision making and supply chain agility. The sample criteria are the manufacturing companies with over 20 employees in Indonesia. The questionnaires were distributed offline (76 respondents) and online through Google Forms (427 respondents), so 503 questionnaires were valid—data processing using SmartPLS software version 4.0. The study results showed that the human-machine interface technology positively affects collaborative decision-making, supply chain flexibility, and operational performance with coefficients of 0,559, 0,490, and 0,340, respectively. Collaborative decision-making involving customer partners in planning decisions and communicating decisions with external partners influences supply chain flexibility by a coefficient of 0.375 and operational performance by 0.149. Moreover, supply chain flexibility with flexible planning and production processes and flexible labor placement influences operational performance by a coefficient of 0.381. The practical contribution of research enlightens company managers to build integrated systems and automation. It encourages top management and owners to think about investing in machines with high automation in the economy. Besides, these findings enrich the theoretical background in supply chain management and the resource-based view.

The purpose of the study is to determine how supply chain flexibility (SCF), supply chain governance (SCG), and green supply chain practices (GSCPs) affect supply chain performance (SCP). In addition to exploring whether TQM moderates the effect of SCF, SCG, GSCPs on SCP of Saudi medium-sized industrial firms. To this end, data was gathered from 312 employees in Saudi medium-sized industrial firms and analyzed using structural equation modeling (SEM) via Smart PLS 4 software. The study revealed that GSCPs and SCG have a positive, significant and direct effect on SCP, in addition to that SCF and TQM do not have a direct positive effect on SCP. The study also found that TQM modifies the relationship between GSCPs, SCF, SCG and SCP.

Changes are occurring in customers demanding that companies produce environmentally friendly products. Apart from that, there is pressure from the government so that companies carrying out business activities can follow the rules and regulations set. The company has developed a system that uses technology to support production process activities properly and adequately. Blockchain technology makes green supply chain implementation faster and more flexible to continue improving supply chain performance. Data is collected on companies implementing blockchain technology and environmentally friendly programs. Data was collected at 512 manufacturing companies in Indonesia using Google Forms, which was distributed via email and social media. Data analysis used PLS to answer all research hypotheses. The research results showed that blockchain technology significantly influenced green supply chain management of 0.816, green practice of 0.370, supply chain flexibility of 0.115, and green supply chain performance of 0.150. Green supply chain management is a commitment for companies that have become top management commitments to adopt by reducing consumption of materials that impact the environment, which affects green supply practices of 0.473, supply chain flexibility of 0.244, and green supply chain performance of 0.247. Green supply practice, as a form of company best practice application, can influence supply chain flexibility by 0.428 and green supply chain performance by 0.214. Supply chain flexibility that has been running in manufacturing companies has had a significant impact on green supply chain performances of 0.331. This research provides a practical contribution to top management's commitment to running a green supply chain to increase company performance. Contribution for regulators and rule makers to continue to carry out continuous monitoring of business actors. Theoretical contributions to enrich theories about the green environment, green supply chain management, and blockchain technology.

This research investigated the relationship between supplier integration and customer integration on operational performance by mediating supply chain flexibility in SMEs in Indonesia. The method used in this research used quantitative methods using a conceptual framework and analysis of research data was performed using structural equation models (SEM) with SmrtPLS 3.0 software tools. Respondents to this study were 650 SMEs owners in Indonesia who were determined using the simple random sampling method. Data collection in this study was carried out on primary data in the form of respondents' statements obtained from answers to online research questionnaires designed using a Likert scale of 7. The results of this study stated that Supplier Integration had a positive and significant effect on supply chain flexibility. Customer Integration had a positive and significant effect on Supply Chain Flexibility. Supply Chain Flexibility had a positive and significant effect on operational performance. Supplier integration had a positive and significant effect on operational performance. Customer integration had a positive and significant effect on operational performance.

Organizational competitiveness is enhanced by implementing supply chain integration. Organizations, through information technology, can integrate internal and external cross-functional. The team assigned to run the integration system in its function is designated as the key user who can implement and maintain an ongoing basis. Key user capabilities are needed to maintain a digital supply chain in information technology systems to integrate internally and externally. Data analysis using Partial least squares (PLS) on 89 hotel organizations with a one-star category or more shows that key user capability significantly affects internal cross-functional integration (β = 0.728) and external cross-functional integration (β = 0.127). Key user capability has an impact on supply chain flexibility (β = 0.370) while internal cross-functional integration influences increasing supply chain flexibility (β = 0.373) and financial performance (β = 0.421). External cross-functional integration increases supply chain flexibility (β = 0.316) and financial performance (β = 0.441). Lastly, supply chain flexibility impacts increasing financial flexibility (β = 0.192). The research contributes enrichment to the theory of digital supply chain and practical contribution to enlighten top management in information technology investment.

The aim of this study is to identify the effect of supply chain resilience as measured by supply chain flexibility, supply chain collaboration, and supply chain agility on supply chain performance. A sample consisting of employees from chemical industrial companies in Jordan was selected to collect data using an electronic questionnaire. Analyzing data via SmartPLS 3.0, the results showed that supply chain collaboration and supply chain agility as key dimensions of supply chain resilience had significant effects on supply chain performance, while supply chain flexibility exerted insignificant effect on supply chain performance. Therefore, managers are recommended to improve their firms’ abilities to carry out effective work with partners and to enhance firms’ abilities to respond quickly to unpredictable changes. Scholars are also requested to conduct further studies such as investigating the effect of supply chain redundancy on supply chain performance.

This study comes to ascertain the impact of digitalism on supply chain flexibility. A sample consisting of 350 employees was selected from manufacturing companies in the food industry to collect research data. One inclusion criterion was assumed in this research, which is employee knowledge of supply chain processes. Research data was gathered using a questionnaire distributed to the members of the sample. The final number of the questionnaires was 297 with a response rate of 85%. Analyzing data via SmartPLS 3.0, the results indicated that Internet of things (IOT) had a significant effect on supply chain flexibility. Such results confirmed that one dimension of digitalism, which is the Internet of things, has a significant effect on supply chain flexibility.

This study aims to determine the effect of supply chain visibility on business performance, to determine the effect of supply chain flexibility on business performance and to determine the effect of supplier development on business performance. The sample of respondents in this study were 120 respondents from logistics companies in Tangerang. Type of research is quantitative research. The data analysis technique used structural equation modeling and SmartPLS for analyzing data. The data collection method in this study was carried out using a survey method, namely by distributing online questionnaires to respondents in the form of questions. The data collection method in this study was an online questionnaire by google form. The sample selection method in this study is simple random sampling. The results of the analysis that have been carried out concluded that Inventory Control, Supply Chain Flexibility, Supply Chain Visibility, Supplier Development had positive and significant influence on business performance.

The purpose of this research is to better understand the impact of supply chain management (SCM) and flexibility on firm performance, as well as the role of competitive advantage in mediating the model in Indonesian agriculture companies. Companies must apply supply chain management and supply chain flexibility (SCF) to boost industrial competitiveness, which impacts firm performance. To ensure that supply chain management supports the company's strategy, companies must evaluate supply chain concerns. From the literature search, researchers have not found any published studies or articles on SCM and SCF in their influence on firm performance through competitive advantage, specifically for corn companies in Indonesia. The population in this study includes agriculture companies in Indonesia. Sampling was carried out using probability sampling technique, the total population of 200 obtained a sample size of 133.333 which can be rounded up to 134 research samples. The inferential statistical method used in the data analysis of this study was the Partial Least Square Version 3 program. The study found that SCM influenced firm performance and SCF had a direct influence on firm performance. However, competitive advantage variable failed in being a mediator in SCM and SCF on firm performance.

The objective of this article is to assess the impact of supply chain relationship quality on supply chain performance and financial performance through environment uncertainty of high-tech agricultural enterprises in Vietnam. The study conducted data analysis based on 198 agricultural firms applying high technology in high-tech agricultural group and in all of Vietnam. The results show that, agricultural enterprises applying high technology with supply chain relationship quality had a strong positive impact on supply chain performance and supply chain flexibility. In addition, supply chain performance played a significant role in financial performance. Finally, Environment uncertainty and technological innovation played a statistically significant moderate role in the relationship between supply chain relationship quality and supply chain performance. For businesses with less environment uncertainty, the relationship was stronger and vice versa. The bigger the technology innovation, the stronger there the relationship.