The present work intends to optimize a hybrid delayed differentiation multiproduct economic production quantity-EPQ model with the scrap and end-products multi-shipment policy. Since the requirements of multi-goods have a standard part in common, our fabrication planning adopts a two-phase delayed differentiation strategy to make the standard components first and produce the finished multi-goods in the second phase. Implementing a partial subcontracting option (with the additional expense) for the standard parts helps us to expedite the required uptime in the first phase. A screening process identifies the faulty items that need to be removed to ensure the in-house production quality. A multi-shipment plan delivers the finished lot of end-products to clients in fixed time intervals. This study optimizes the overall operating expenses of this intra-supply chain system, including fabrication, delivery, and client stock holding, through our proposed modeling, formulation, and optimization procedure. In addition, this study gives a numerical demonstration of the obtained results’ applicability and usefulness to managerial decision-making.

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.

The purpose of this research was to analyze the increased performance improvement in the supply chain related to the energy and utilities sector of Jordan through cloud computing, also mediated by knowledge sharing. 150 respondents were analyzed. Research suggests that there was a strong positive relationship between cloud computing and supply chain performance. In addition, cloud computing had a strong and positive correlation with the practice of knowledge sharing. The result indicates that companies with a culture of knowledge sharing among employees were more likely to incorporate the use of cloud computing. The study also indicates that cloud computing adoption had enhanced supply chain performance in the utility and energy sector within Jordan. Therefore, the study also finds that there was a strong and positive relationship between knowledge sharing and well overall performance of supply chain activities. This points to the role that knowledge-sharing practices play in improving the performance of the supply chain within Jordanian utilities and energy sectors. Furthermore, the findings of the mediation study provide strong evidence in support of our hypothesis that knowledge sharing plays a major role as a mediator relating to the relationship between cloud computing adoption and supply chain performance. The observed mediation effect suggests that the positive impact of cloud computing implementation on supply chain performance can be attributed to some extent to its facilitating knowledge exchange practices. However, this research improves the understanding of relationships among cloud computing adoption implementations and information structure flow as well as supply chain performance within Utilities These results emphasize the importance of cloud technologies as information drivers that would lead to enhanced performance in terms of supply chain operations. These are insights that can be used by organizations and businesses aiming at improving their competitiveness and efficiency levels in these sectors.

This research aims to analyze the relationship between compensation and supply chain performance and to analyze the relationship between organizational support and supply chain performance at the immigration office. The research method uses a quantitative associative survey method. The analysis used in this research is partial least squares-structural equation modeling (PLS-SEM). The population of this study were senior employees of government organization or immigration offices in Indonesia and the research respondents were 467 senior employees who were selected using a simple random sampling method. Research data was obtained by distributing online questionnaires via social media. The online questionnaire contains statement items and is designed using a 7 Likert scale. The Likert scale used in this research is (1) strongly disagree, (2) disagree, (3) quite disagree, (4) Neutral, (5) quite agree, (6) agree, (7) strongly agree. Data processing uses SmartPLS 4.0 software, and the data analysis stages are testing the outer model and inner model, testing the inner model by carrying out validity tests, reliability tests while the inner model tests hypothesis or significance tests. The results of this research are that compensation has a positive and significant relationship to supply chain performance at the immigration office and organizational Support has a positive and significant relationship to supply chain performance at the immigration office. By implementing a fair and good compensation system, it will encourage supply chains to improve their performance. Supply chains will try to improve their performance because the better their performance, the supply chain will receive better compensation. Work motivation has a positive and significant effect on supply chain performance. Organizational support is very important for supply chain behavior. The organization has an obligation to develop a climate that supports consumer orientation.

This study aims to discover the relationship between CMA Techniques and Supply Chain Performance at logistics enterprises in Vietnam. Based on qualitative research methods combined with quantitative research, the survey subjects were 300 accounting staff and managers of large logistics enterprises in Vietnam. Qualitative research is used to summarize the business situation of the companies, build research models and hypotheses based on literature review and get opinions from the managers and accountants about the quality of the questionnaire. The study has developed a scale to evaluate the Supply Chain Performance of the businesses according to the Balanced Scorecard model. Quantitative research is used to measure and explain the relationship between factors in the model using SPSS and AMOS tools. The results of the linear structural model show that CMA Techniques have a positive impact on the Supply Chain Performance of logistics businesses in Vietnam. This study also demonstrates that CMA Techniques have a positive impact on Financial Performance, Internal Business Process, Learning and Growth, Customer Perspectives of the businesses. Based on these findings, the author proposes recommendations for governments and the companies to improve the effectiveness of CMA Techniques, thereby improving their Supply Chain Performance.

The aim of writing this research article is to determine the influence of supply chain challenges on MSMEs performance, Supply chain integration on Micro, Small, and Medium Enterprises (MSMEs) performance, Management commitment to MSMEs performance, Supply chain integration on Supply chain performance. This research method is a quantitative survey, research data was obtained by distributing online questionnaires via social media. 700 questionnaires were distributed to MSMEs owners and of the 700 questionnaires distributed, 350 respondents or 50% responded as determined by the simple random sampling method. This research adopted a quantitative method with data analysis using Structural Equation Modeling (SEM) Partial Least Square (PLS) with SmertPLS software data processing tools. The questionnaire was designed using a Likert scale of 1 to 7. The stages of data analysis were validity, reliability and hypothesis testing. or significance. The results of data analysis show that supply chain challenges have a positive and significant influence on MSMEs performance, Supply chain integration has a positive and significant influence on MSMEs performance, Management commitment has a positive and significant influence on MSMEs performance, Supply chain integration has a positive influence and significant to supply chain performance. The novelty of this research is the creation of a relationship model of supply chain integration, management commitment, supply chain performance, supply chain challenges and MSMEs performance. The implication of this research is to encourage improvements in MSMEs performance, MSMEs managers must encourage improvements or implement challenges in the supply chain. Supply chain integration and management commitment. Supply chain management is not just about managing the flow of goods, but also a holistic business strategy that can create a competitive advantage. With a deep understanding of supply chain components, challenges and strategies, companies can ensure smooth operations and meet customer expectations in a dynamic and global business environment. Implementing best practices in supply chain management is the key to building a strong foundation for business success in an era of ever-growing globalization.

This study aims to investigate the integration of suppliers and customers with the role of trust (TR) as a mediator on supply chain performance in small retail stores. The sampling technique uses purposive sampling to represent the total sample used, 170 outlets or respondents and data analysis using programs with SmarPLS. The finding of this study stated that the effect of supplier integration (SI) on customer integration (CI) and the effect of CI in addition to TR and on SCP are all stated to have a positive and significant effect. However, Customer Integration has a negative and not significant effect on supply chain performance (SCP) through TR. Novelty of this study is the implementation of supply chain integration for development in the retail business sector, especially in Indonesia. Then, this study shows integration as a communication aspect of collaboration between companies. Implication of this study is useful for franchise management and small retail shop owners in mutually beneficial collaboration in developing Micro, Small and Medium Enterprises (SMSMEs) so that their businesses can develop, survive and be sustainable growth in the future.

Global business is getting more and more cutthroat. Digital technology plays a significant role in giving companies a competitive advantage and improving the effectiveness of corporate processes. The Malaysian government has advanced by implementing e-government to use digital technologies to improve operations. In line with the objective of Malaysia’s government, this study examines the impact of e-procurement adoption and e-procurement determinants on supply chain performance among Malaysian manufacturing companies. Using a quantitative research design with an online survey questionnaire, 99 responses from manufacturers listed in the Federation of Malaysian Manufacturers directory were obtained, representing 19.41% of the response rates. It fulfilled the minimum sample size of 92, and the data were examined using PLS-SEM. A total of 13 hypotheses are supported, accepted hypotheses one and two in which top management support and information communication technology infrastructure do not directly affect supply chain management. Besides, the findings prove this study's mediating effect on e-procurement adoption. It indicates that most Malaysian manufacturing companies have embraced e-procurement to support their supply chain operations.

This study investigates the impact of supply chain agility on supply chain performance in Jordan’s healthcare settings. The moderation role of human capital in this relationship was also investigated. This study adopted a quantitative approach and utilized an online questionnaire to collect data from 139 managers at different levels in various hospitals in Jordan. The Statistical Package for Social Sciences (SPSS) version 23 was used for data analysis. The results of hypothesis testing using multivariate regression analysis showed that human capital has a positive and statistically significant impact on supply chain performance and supply chain agility. Human capital has been identified as an important organizational resource that can result in favorable performance. Such an organizational resource may also help healthcare institutions obtain a competitive edge by responding to patients’ treatment, which is urgently required.

The development of technology and science in the Industrial Revolution 4.0 era requires companies to increase effectiveness and efficiency to maintain a competitive advantage. Supply chain management is the integration of business processes involving end customers and key suppliers whose function is to provide value to customers and stakeholders by providing products, services, and information. Implementation of supply chain management is considered an operational function or company activity that greatly determines the effectiveness and efficiency of the supply chain. This research aims to analyze the relationship between the implementation of supply chain management and the performance of small and medium enterprises (SMEs), the relationship between supply chain management, and the relationship between competitive advantage and the performance of SMEs. The research uses a quantitative descriptive approach. The quantitative approach is data in the form of numbers which are generally arranged through structured questions. The questionnaire contains statement items designed using a Likert scale from 1 to 7. The data in this study uses cross-sectional data because the data collection was carried out in a certain period. The data was obtained from distribution of online questionnaires via social media. The unit of analysis used in this research is the owners/managers of SMEs in Indonesia. The sampling technique used in this research is a non-probability sampling technique, namely purposive sampling. The total sample for this research was 432 respondents. The data management used in this research is the Structural Equation Model (SEM) method, which is a collection of statistical testing techniques on a series of relatively complex relationships, simultaneously. The data processing tool is SmartPLS 3.0. The SEM technique is used to examine and justify different hypotheses of the survey. Hypothesis testing is carried out by comparing the p-value with a confidence level (alpha) of 5% (