Site clearance remains one of the most persistent causes of delay in Vietnam’s public infrastructure delivery, yet systematic evidence on how different stakeholders and project sizes perceive its underlying drivers is limited. This study investigates variations in stakeholder perceptions and project-scale effects on site clearance delays through an integrated analytical framework combining ranking, concordance, correlation, and variance analyses. Data were collected from key actors involved in land acquisition and clearance, including project owners, project management units, consultants, contractors, and land development centers, covering small, medium, and large public projects. Findings show that stakeholders share a general awareness of major delay causes but differ in prioritization based on institutional roles and responsibilities. Project owners, management units, and contractors emphasize coordination and staffing constraints, whereas consultants focus on technical and procedural issues, and land development centers view administrative and community challenges as routine. Across project sizes, perceptions diverge more strongly: small projects face capacity and resource shortages, large projects experience bureaucratic fragmentation and complex multi-agency coordination, and medium projects operate at a relatively balanced scale. These results indicate that project complexity increases nonlinearly with size, amplifying administrative and procedural burdens at both extremes. The study contributes by clarifying how institutional role and project scale shape perceptions of delay in Vietnam’s infrastructure sector. It underscores the need for scale-sensitive and role-specific management strategies to enhance the timeliness and effectiveness of site clearance processes.

This research paper seeks to research the place of logistics agility and intelligent quality management. The conundrum is represented by rapid evolution in the industrial supply chain operations due to digital transformation especially in the developing countries. Thus, this research aims at exploring how digital logistics agility impacts intelligent quality management with the moderated impact of green sourcing strategy in the Jordanian industrial sector. This was a quantitative research methodology; the study was done by the use of a structured survey questionnaire which was sent to those working in supply chain and operations of a sample size of Jordanian industrial firms. We employed the partial least squares structural equation modeling (PLS-SEM) to test the hypothesis of the direct and indirect correlations between digital logistics agility and green sourcing strategies and intelligent quality management. This analysis established that the idea of digital logistics agility has a considerable impact on green sourcing policies and smart quality management activities. The indirect impact of the logistics on the quality of the outcomes through the mediation of a green-sourcing is also substantial, meaning that, in as much as an agile logistics system can enhance the quality outcomes, its ability to do so will be greater in case it also involves the introduction of environmentally friendly sourcing practices. The current research demonstrates that the digital logistics agility can be used to improve the intelligent quality control in the industrial environment when combined with the green sourcing strategies. The findings explain the ways that supply chain managers, sustainability officers, as well as policymakers can educate the design of resilient, evidence-based, and sustainable industrial systems in Jordan.

This study examines the impact of supply chain management (SCM) practices and innovation strategies on competitive advantage through operational performance in West Java. Using a quantitative approach, the study surveyed 150 SME managers/owners via Google Forms, analyzing the data with Structural Equation Modeling (SEM) and AMOS 20 software. The results reveal that SCM practices positively influence operational performance and competitive advantage, while innovation strategies also enhance operational performance and competitive advantage. Furthermore, the study finds that although SCM practices and innovation strategies improve competitive advantage, operational performance does not mediate the relationship between these factors and competitive advantage. The implications of these findings suggest that SMEs should focus on enhancing SCM practices and fostering innovation strategies to improve competitive advantage directly. Although operational performance is important, it does not play a central mediating role in boosting competitive advantage. Therefore, businesses should prioritize optimizing SCM and innovation independently for more effective outcomes, without relying on operational performance as an intermediary. This insight can guide policy development and strategic planning for SMEs in West Java, fostering more efficient operations and stronger market positioning.

This study reviews the literature on Supply Chain Management (SCM) and Project Management (PM) to serve the Sustainable Development Goals (SDGs) through technological integration. Technological innovations may enhance operational efficiency and decision-making as per SDGs 8 and 9. However, the success of such innovations depends on managerial competency. In this regard, operational coordination can optimize multi-actor networks, which can improve resource allocation and productivity. Moreover, inter-organizational relationships would nurture governance and trust. Additionally, lifecycle project management and stakeholder engagement can enhance operational continuity and sustainability, which can further be supported by stochastic optimization and AI-enabled decision making. The study recommends to integrate circular economy, lean practices, and environmentally responsible frameworks with operational objectives to achieve SDGs. Thus, the interdependence of technology, human capital, governance, and strategy is necessary to achieve efficient SCM and PM.

The Multiple Travelling Salesman Problem (MTSP) is one of the prominent combinatorial optimization problems with both theoretical interest and practical applications. However, its less-explored variants, such as the Open-Close Multiple Travelling Salesman Problem (OCMTSP), have received comparatively limited attention. In the OCMTSP, all salesmen commence their routes from a central depot, but unlike the classical MTSP, not all are required to return to the starting point upon completing their deliveries. Additionally, allowing any salesman to visit the maximum number of cities can lead to an imbalanced workload distribution among the salesmen. To address this imbalance, the current study incorporates a load balancing constraint into the OCMTSP framework, ensuring a fair distribution of cities among all salesmen. This extended problem variant is termed as Open-Close Multiple Travelling Salesman Problem with Load Balancing (OCMTSPLB). The primary objective of the OCMTSPLB is to minimize the total travel distance or cost incurred by the combined open and closed tours while maintaining balanced workloads. To solve this variant, the study proposes two distinct crossover based multi-chromosome Genetic Algorithm (GA) frameworks. Given the novelty of this problem, the algorithms are assessed using standardized benchmark instances from the TSPLIB. Experimental findings indicate that one of the proposed GA variants consistently achieves superior solution quality, a result further validated through non-parametric statistical tests.

The manufacturing firms are trying to attain digitalization of operations and supply chains in the fast changing technological era. Digital transformation was more agile and efficient. However, the issue of how and why digital transformation is going to create a sustained competitive advantage is a question. The survey was carried out in the form of a quantitative survey among the managers of 326 Jordanian manufacturing firms, which were involved in digital projects. SEM and AMOS were used to test the hypotheses. The results illustrate that the digital transformation has positive and significant effects on the competitive advantage of the supply chains. The mediation analysis showed that the dynamic capabilities are important to the competitive advantage of the digital transformation. The results suggest that digital transformation is a strategic enabler that enhances the dynamic capabilities of a company, which is later translated into the high-level of supply chain performance. Digitalization is an enabler of building of capability, according to the Dynamic Capabilities Theory. These increased capabilities, in turn, enable firms to attain and maintain competitive advantages in the form of faster delivery, increased flexibility, and reduced costs. The research builds on theoretical knowledge by introducing digital transformation to the capability-based perspective on competitiveness, in which the value of digital investments is achieved by the capabilities of organizations and managers to a large extent.

Managing change is essential to achieving high levels of organizational performance, enabling companies to effectively adapt to highly dynamic environments by considering new structures, adopting technologies, and implementing new processes. In this context, this research examines the effect of change management on organizational performance, mediated by organizational culture, in Peruvian companies in the service sector. This quantitative, non-experimental study collected cross-sectional data from 544 managers of service-providing companies, one of the most important sectors of the Peruvian economy, through an online survey comprising a 21-item Likert-based questionnaire with five options for rating each item. The data were processed in SPSS and AMOS, confirmatory factor analysis was applied to test the proposed model and modeled through structural equations, in order to test the veracity of the hypotheses raised. The results revealed that, in service companies, there is partial mediation of culture, relating change management to organizational performance, with a coefficient of 0.093. Furthermore, change management has a direct positive effect on organizational performance (β=0.273, SE=0.138, p<0.05), as well as on organizational culture (β=0.603, SE=0.145, p<0.01). Likewise, organizational culture has a positive impact on organizational performance (β=0.433, SE=0.071, p<0.01). This study integrates three variables within the service business environment, provides valuable empirical evidence, and addresses an important gap in the literature, highlighting organizational culture as a key mediator in organizational change processes, enabling organizations to achieve improved performance levels.

Transparency in the supply chain is crucial for enhancing integration, efficiency, and responsiveness, but it also carries the risk of strategic information leakage. Management commitment and the effective use of digital technology are essential to creating safe and transparent environments. This study aims to investigate the impact of management commitment on the adoption of information technology, supply chain transparency, and practices that enhance operational performance. Data collection was conducted at 221 manufacturing companies that have adopted information technology as their primary system. Testing the research instrument using SmartPLS version 4 data analysis showed a good goodness-of-fit model. The study's results indicate that management commitment has a significant influence on the adoption of information technology and supply chain practices. However, its impact on supply chain transparency is less pronounced. The resulting operational performance is not directly determined by supply chain transparency, but rather by the adoption of information technology and the implementation of effective supply chain practices. The adoption of information technology has an impact on supply chain practices through supply chain transparency. The results of this study contribute practically to company management by enabling the update of information technology and the implementation of supply chain practices and transparency, thereby facilitating continuous evaluation and control of the company system. The results of this study contribute to enriching the theory of digitalization in the manufacturing industry's supply chain.

Behavior-Based Safety (BBS) is the art of communicating and correcting unsafe behaviors of project and factory staff. It was developed from behavioral sciences through direct observations of behavior changes. Scholars across the globe have examined the efficacy of BBS in ensuring safe behaviors in projects. However, the available literature is fragmented, and there is a need to have a panoramic, systematic, and comprehensive understanding of BBS. This study synthesizes, analyzes, and categorizes the BBS literature to provide a conceptual framework and inputs for further research. The study was conducted using bibliometric analysis of 56 research articles from the Scopus database. The results present a bird's-eye view of published materials on BBS. The bibliographic coupling helped categorize the outcomes of BBS into various clusters. The study also found that most highly cited articles were from the construction industry. Future researchers may examine the findings of seminal studies, identified as the most cited documents, to inform design choices and trade-offs that address the major hindrances to implementing BBS in its true spirit.

This study investigates the key factors influencing intention to use e-commerce in an emerging market context, focusing on individuals residing in Saudi Arabia. A quantitative research approach was adopted, and data were collected using a structured questionnaire from 281 respondents through a convenience sampling technique. Data were analyzed using structural equation modeling with SmartPLS to test the hypothesized relationships. The results revealed that attitude, subjective norms, self-efficacy, and trust all had significant positive effects on intention to use e-commerce. Moreover, trust in e-commerce was found to influence attitude, which in turn mediated the relationship between trust and intention, highlighting the importance of trust as both a direct and indirect driver of online purchasing behavior. The R-square values indicated that 47.9% of the variance in attitude and 65.4% of the variance in intention were explained by the model, confirming strong explanatory power. The study concludes that trust, confidence, social influence, and positive attitudes are crucial for enhancing consumers’ willingness to engage in e-commerce. The study delivers essential information which helps e-commerce companies and marketing professionals and government officials to enhance consumer trust and digital shopping experience and build favorable digital commerce attitudes in Saudi Arabia.