This study aims to examine the influence of commitment management on supply chain integration, supply chain transparency, and operational decision-making in manufacturing companies in Indonesia. Amidst the increasing complexity of supply chains and the demands for rapid, data-driven decision-making, companies need to build integrated and transparent systems, supported by strong commitment from top management. This study used a quantitative approach with a survey method of 128 respondents from manufacturing companies in Java, and the data were analyzed using Partial Least Square (PLS) techniques. The results showed that commitment management significantly influenced supply chain integration, supply chain transparency, and operational decision-making. Supply chain integration was also shown to influence supply chain transparency, but not significantly on operational decision-making. Meanwhile, supply chain transparency significantly influenced operational decision-making. A mediation test showed that the indirect influence of commitment management on operational decision-making through supply chain integration and transparency was not significant. This indicates that operational decision-making still relies heavily on the direct involvement of top management. This study provides a theoretical contribution in enriching the understanding of the role of management commitment in supply chain-based operational decision-making systems. Practically, the results of this study recommend strengthening the role of middle managers, decision-making training, and the implementation of integrated information systems to improve the effectiveness of operational decisions in real time.

With the increasing complexity of supply chain management, supply chain concentration (SCC) has become a prominent research topic in academia and practice. To clarify the developmental context and research trends within this field, this study utilizes the Web of Science core collection as the data source, selecting 362 English-language publications from 1975 to 2025. CiteSpace 6.2 was employed to conduct a visual bibliometric analysis, systematically examining the social structure, conceptual structure, and intellectual structure of SCC research through co-authorship, co-word, and co-citation analyses. The results indicate rapid growth in SCC research since 2020, with China and the United States being the major contributing countries, and collaborations exhibiting regional characteristics. High-frequency keywords prominently include "customer concentration," "supplier concentration," and "performance," with research themes progressively extending toward frontier topics such as "digital transformation," "green innovation," and "corporate social responsibility." Co-citation analysis identified representative works by authors such as Panos Patatoukas, Dan Dhaliwal, and Murillo Campello, highlighting a shift in research focus from traditional performance perspectives to governance mechanisms and sustainable strategies within a digital context. This study summarizes core literature clusters, evolutionary paths of clusters, and significant citation bursts, revealing interdisciplinary integration and paradigm shifts in SCC research. The paper provides a systematic review of future directions in SCC studies.

The rise of digital marketing channels and e-commerce has compelled businesses to shift to a digital economy, where the use and use of technology in business operations necessitates the development of technopreneurs rather than entrepreneurs. Moreover, technopreneurs can transform a technical idea into and market-ready product that consists of intellectual wealth as the gateway to financial wealth. This study aims to inspect the relationship between strategizing business models for transformation and development as well as the moderating role of Business Intelligence (BI) towards becoming a successful technopreneur. The study obtained 313 respondents among entrepreneurs from Small-Medium Enterprise (SME) in Malaysia using a simple random sampling method by utilizing an online survey (Google Forms) to participate in the main survey. They are recognized as highly knowledgeable respondents who use digital technology to improve their businesses; as a result, they possess the knowledge necessary to give a trustworthy response based on their actions and experiences to succeed as technopreneurs. The collected dataset was analyzed using SmartPLS software to test the hypotheses, and a structural model was utilized in the study to assess direct relationships. Based on p-values and t-statistics, the bootstrapping technique was used to increase the significance of both direct and indirect impacts (path coefficient). The findings of this study highlight that strategized business models and successful technopreneurs may become an innovative high technology-intensive context with the moderating role of BI technology prowess and entrepreneurial talent and skills that develop technopreneurs in the new age of entrepreneurs who make use of the digital economy.

This study uses the Resource-Based View (RBV) and technology, organization, and environment (TOE) theories to examine how smart supply chain (SSC) practices affect financial performance (FP) in enterprises of various sizes. Our results show that SSC benefits larger enterprises more financially than smaller firms. SSC has a statistically significant effect on green supply chain management (GSCM) and sustainable supply chain performance (SSCP), and the strength of the relationship declines with a decline in firm size. Smaller enterprises are more receptive to competitive pressure and implement GSCM alongside SSC. Our findings show that SSCP improves financial performance, while GSCM does not, even in large enterprises. Further, mediation effects show that GSCM mediates the relationship between SSC and SSCP, whereas it does not mediate between SSC and FP across all sizes. The impact of SSC on FP is sequentially mediated via GSCM and SSCP. Using a non-linear approach (ANN), we also rank independent variables for small, medium, and large firms. Our research provides important implications.

This study aims to investigate the strategies employed by halal food manufacturers in Malaysia to mitigate operational supply risks. This study selected a sample of 369 respondents using a simple random sampling method to participate in the main survey. The collected dataset was analysed using covariance-based software (AMOS-SEM)) to test the study hypotheses. The findings of this research highlight that halal food manufacturers in Malaysia proactively adopt measures to manage operational supply risks from suppliers. Notably, they utilize behaviour-based and buffer-based strategies to effectively minimize the impact of these risks. This study focused on supply-related risks. To secure the integrity of halal, the firms must address demand-related risks and governmental and organizational risks to ensure the halalness of halal products. Therefore, it is crucial to consider risk management for all parts of the supply chain to guarantee the halal compliance of food products. The study highlights halal firms' need for behaviour-based and buffer-based risk management strategies to mitigate price, quality, and delivery risks while ensuring brand reputation and consumer trust through collaboration, information sharing, and supplier performance evaluation. This study presents a comprehensive analysis of the operational supply risks faced by halal food manufacturers, offering insights into the unique challenges and vulnerabilities within the halal food supply chain. By specifically focusing on Malaysia, this research contributes to the limited existing literature in this specific context, further enriching our knowledge in this field.

Corporate social responsibility (CSR) has gained research attention as the result of the Sustainable Development Goals (SDG), which focus on responsible consumption and production (SDG-12). However, previous studies mainly focused on Carroll’s pyramid of CSR and other facets of CSR practices need to be further explored. The objective of the study is to examine the impact of CSR practices on customer purchase intention in the clothing industry by integrating the Triple Bottom Line (TBL) model and ISO26000 best practices with the Signalling theory as the theoretical foundation. Through an online survey, a total of valid 182 responses were obtained via purposive sampling. Multiple regression was utilized for data analysis. The results show that economic CSR had the strongest impact on customer purchase intention, followed by environmental, social, and customer issues. Surprisingly, there was no significant impact between fair operating practices and customer purchase intention. The current study is unique by integrating the TBL framework with the customer-related ISO26000 CSR practices in a single framework and utilizing the Signalling Theory as the underpinning theory to explain the relationships, which is novel in an emerging market. The results provide insightful implications to the clothing company's management to emphasize the (social, economic, environmental, and customer issues) CSR attributes to guarantee business sustainability and attract consumers in this competitive marketplace.

The swift growth of online commerce has significantly impacted the expedition service industry. As online shopping becomes increasingly prevalent, reliable shipping service has become crucial. Therefore, this study aims to determine the correlation between service quality, customer perceived value, and trust, as well as their impact on customer satisfaction within the expedition service industry. A survey was carried out through various messaging platforms, such as WhatsApp and Telegram, to reach users. Data were then obtained from 165 respondents, who were users of the 8 most popular expedition services in Indonesia (including J&T, JNE, SiCepat, Ninja Express, SAP, and others), followed by PLS-SEM analysis. The results showed that the three independent variables positively influenced customer satisfaction. In addition, trust acted as a mediator, indirectly affecting both service quality and customer perceived value. These results are expected to serve as a foundation for developing more efficient and contextually relevant strategies for expedition companies in the future.

The widespread use of knowledge management in a wide range of applications aids in professionally and wisely streamlining the procedure to produce improved outcomes and deliverables. Knowledge management is essential in the construction sector due to the considerable investment, extended deadlines and the need for higher performance efficiency and quality. The usage of BIM in construction projects has simplified the procedures required in building construction. The fundamental motivation behind the creation of BIM was the need to apply knowledge management approaches to make projects more sustainable and compliant with green building requirements. There are various limitations and risks associated with using BIM in construction projects, such as issues with file sharing and data security. This research examines numerous BIM benefits and drawbacks from a variety of angles, providing information and various measures for building the program. BIM adoption in construction projects includes a wide range of benefits as well as drawbacks. The relationship between the variety of information and outcomes was explored using different findings from numerous scientific studies that looked at the use of BIM in the construction sector. Due to the wide range of data that is available in the BIM sector, numerous areas were also found in this study. A thorough analysis was undertaken to present a variety of author viewpoints from various articles. This report's strengths and weaknesses have been noted. It has been demonstrated that BIM has additional benefits, including meeting client expectations, reducing design errors, and achieving project sustainability. However, there are also drawbacks to BIM, including user skill gaps, ambiguous standards and protocols, and transfer data problems. A few studies have addressed some of the research gaps and limitations in some of the domains. Additionally, these regions were thoroughly addressed from many authors' points of view.

The aim of this research is to obtain the minimum spring back value in bending metal plates using a press tool with a squishing process for the case of forming aluminium plates on S-shaped clothes hanger products with a 90o angle. The problem faced in bending metal plates is the occurrence of spring back which has more serious consequences if for example aircraft door products which must have accurate product dimensions so that they can be opened and closed tightly without any air or rainwater leaks. The research method includes simulation with Simufact and Solidwork softwares on a 2.8 mm thick aluminium plate with varying squishing depths, namely 0.1 mm, 0.2 mm, and 0.3 mm after the bending step, measuring the resulting spring back, making a radius optimal punch from the simulation results, testing the bending of the plate with a press tool, measuring the spring back value that occurs, analyzing the spring back results, and drawing conclusions. Results from research with an optimal punch radius on an S-shaped clothes hanger product with a 90o angle with a value of 1.5 mm, an optimal squishing depth of 0.1 mm on 2.8 mm thick aluminium material with a width of 19 mm producing a spring back of 0.058o with compressive force worth 3009.6 kg.

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.