Blockchain technology is increasingly recognized as a transformative tool for improving agri-food supply chain (ASC) performance, particularly in enhancing transparency and traceability. Nonetheless, it has still not been widely adopted in developing nations like Pakistan. This study investigates the impact of blockchain adoption on ASC performance, incorporating transparency as a mediating variable and the Internet of Things (IoT) as a moderating factor within the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Data were collected from 333 professionals in Pakistan's agri-food sector and analyzed using smart PLS, with mediation and moderation effects. The findings reveal that blockchain adoption significantly improves supply chain performance. Transparency partially mediates this relationship, while IoT strengthens the effect by enabling real-time data sharing and monitoring. The study offers new insights into literature by extending UTAUT through the integration of blockchain and IoT, and by empirically validating their combined impact in a developing economy context. In practice, the results provide practical information to policy makers and industry players with a view to improving efficiency, accountability, and sustainability in the agri-food supply chains.

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 study explored the influence of the main dimensions of accounting information (AI) relevance and reliability on supply chain performance (supply chain exchange information, supply chain collaboration, supply chain integration) at Noon e-commerce companies in Saudi Arabia. The researcher followed the descriptive analytical approach to describe the study variables based on previous studies and explore the study gap. The study adopted a questionnaire, of which 170 were collected. The data was analyzed using partial least squares (PLS) through structural equation modeling (SEM). The results indicated a positive effect of the relevance and reliability of AI on the dimensions of SC performance (SC exchange information, SC collaboration, SC integration), there is a positive effect of the reliability of AI on the dimensions of supply chain performance (SC exchange information, SC integration) and a negative effect of the reliability of AI on the SC collaboration parties. These results clarified the value and benefit of accounting information in improving supply chain performance.

Supply chain resilience has rapidly expanded as a research area due to increased vulnerability to disruptions and uncertainties. Integration and re-engineering are essential components of a resilient supply chain that can improve its performance. Nevertheless, no one has yet investigated the effect of Artificial intelligence (AI) on the relationship between integration and re-engineering. Therefore, this study aims at investigating the roles of supply chain integration and re-engineering on supply chain performance. Similarly, it investigated the moderating role of AI in these relationships. This study develops a theoretical framework based on resource-based view and the social construction of technology theory. Based on a quantitative study of 564 responses collected from supply chain and clinical unit managers in the Qatari public healthcare sector, an empirical analysis was made using the partial least squares (PLS) path modelling technique. Results revealed that supply chain integration and re-engineering positively affect supply chain performance. Most significantly, these relationships are found to be positively moderated by AI. This study confirms the impact of supply chain integration and re-engineering on performance, providing empirical evidence for AI's role in strengthening these relationships.

The purpose of this study is to analyze the relationship between digital leadership variables and supply chain performance, supply chain innovation and supply chain performance and the relationship between electronic human resource management (E-HRM) and supply chain performance. The research method used in this study is a quantitative survey method research design. The technique used in selecting samples in this study is simple random sampling. Data collection in this study was done online by distributing questionnaires through the Google Form platform and obtaining direct responses from respondents. The number of respondents studied was 786 small and medium enterprises (SMEs) owners in Indonesia. The study uses path analysis techniques for data and hypothesis testing. Statistical testing on the path analysis model can be done using the partial least square method. The study uses a Likert scale, which is categorized into five categories: (1) strongly disagree, (2) disagree, (3) neutral, (4) agree, and (5) strongly agree. Data analysis in this study used Smart Partial Least Square (SPLS) software version 3.00. Model evaluation in testing with SPLS consists of two stages, namely, evaluation of the outer model and inner model. The evaluation of the outer model consists of factor loading tests, Average Variance Extracted, cross-loading, Cronbach's alpha, and composite reliability, while the evaluation of the inner model consists of the coefficient of determination (R2), cross-validated redundancy (Q2), Goodness of Fit (GoF), and hypothesis testing. The results of this research analysis are that digital leadership has a positive and significant relationship with supply chain performance, supply chain innovation has a positive and significant relationship with supply chain performance and e-HRM has a positive and significant relationship with supply chain performance. Digital Leadership involves leaders who can drive digital transformation and implement innovative strategies to leverage digital technologies. This involves the ability to understand and leverage technologies such as artificial intelligence, etc. In addition, digital leadership also involves sensitivity to change and the ability to drive innovation, collaboration, and technology adoption across SMEs.

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.