Abstract: This research focuses on studying the impact and effect of AI agents on workforce dynamics, job hugging, and project human resource management. Conceptual framework has been developed based on previous research and studies. Another important point this research investigates is the mediating roles of digital competency and organizational agility. data has been collected from 431 respondents by using structured questionnaires and all collected data analyzed through the usage of partial least squares structural equation modeling (PLS-SEM). The research's main findings have been to show that Artificial intelligence agents have significant impact on workforce dynamics, job hugging, and project human resource management, whereas digital competency moderated these relationships. Furthermore, organizational agility mediated the relationship between AI agents and workforce dynamics, job hugging, and project human resource management, but the effect was weaker than the effect of digital competency. The research results were specified at the university of Jordan, and the research recommendations have been proposed for future research.

Abstract: The research is likely to offer an effective model that will not only allow SMEs to develop a substantial positive influence on their current performance and efficiency levels but also create a resilience impact at a long-term threshold and promote long-term sustainability at the multifaceted organizational level. It is assumed that the betterment can be achieved primarily as a strategic identification and resultant maximization of best practice in the context of their supply chain management (SCM). Primary data was obtained primarily because of a massive dissemination of structured questionnaires, which was conducted as part of a massive survey. The sample used in the survey was a vast and heterogeneous sample of 340 SMEs highly selected to cover the various regions of the Saudi Arabian economy and represent the sector of SMEs in an exhaustive manner. The form of structural equation branch of multivariate statistics used in the study was the partial least squares structural equation modeling (PLS-SEM) which is highly effective in the testing of the relationship between a complex cause and effect and the test theoretical models through latent variable, so that the resulted quantitative data can be analyzed. The implication of improving the economic, environmental and social performance of SMEs in Saudi Arabia is primarily based on information quality and exchange practices, innovative technology, strategic partnerships and supplier relationships. The findings affirm that strategic innovation is significant in the relationship of strategic innovation and digitization of SME. According to the outcomes, SMEs by relevant planning and changing such practices will not only be able to increase their financial sustainability and the efficiency of their operations, but also the level of their influence on the environment and their social responsibility. The reason behind this is that the expert knowledge of strategic planners assists them make certain projections to contribute to the economic, environmental and social sustainability linking them with supply chain practices. The paper recommends that strategic decision makers operating small and medium-sized enterprises (SMEs) in Saudi Arabia should strive to improve the supply chain activities to maximize the sustainability of their economic, environmental, and social activities.

Abstract: The growing importance of digital technologies in industrial environments has increased academic and managerial interest in understanding how Internet of Things (IoT) adoption can improve sustainability performance. Industrial firms are under rising pressure to enhance resource efficiency, reduce environmental impact, and support long-term sustainable operations. Despite the expanding relevance of IoT in industrial transformation, limited empirical research has examined its effect on sustainability performance through renewable energy and under the influence of green logistics capability. Grounded in the Resource-Based View, this study investigates the impact of IoT adoption on sustainability performance in the industrial sector, while examining the mediating role of renewable energy and the moderating role of green logistics capability. A quantitative approach was adopted, and data were collected from industrial firms using a structured questionnaire. Partial Least Squares Structural Equation Modeling was employed to test the proposed hypotheses. The findings reveal that IoT adoption has a significant positive effect on sustainability performance. Renewable energy was found to mediate this relationship, while green logistics capability strengthened the positive influence of IoT adoption on sustainability performance. The study contributes to the literature by presenting an integrated model that connects digital adoption, renewable energy, green logistics capability, and sustainability performance.

Abstract: The blue economy is important to Indonesia, which derives state revenues from the maritime sector, given its large marine area. The vast marine potential can contribute if managed well. Fish processing companies need to improve their operational performance to be competitive. The study collected data from 90 practitioners from fish processing companies in Indonesia who are members of the Association of Tuna Longline Indonesia. The research data were processed using the SEM-PLS version 4 approach to test the relationships specified in the research hypotheses. The data analysis found that the operational performance of fish processing companies in Indonesia is determined by product innovation and supply chain collaboration. The company's ability to collaborate with partners significantly impacts product innovation. Improvement efforts determined by intellectual capital influence product innovation, especially supply chain collaboration. At the same time, environmental dynamism does not affect product innovation but does significantly affect supply chain collaboration. The practical contribution of this research is that managers can actively involve external partners to solve problems and support product development. Managers need to build real collaboration with external partners in joint planning and optimal order coordination to improve operational performance. The need to strengthen intellectual capital by providing adequate training and standard skills. The theoretical contribution to the development of supply chain uncertainty in optimizing the blue economy.

Abstract: Companies have heavily invested in information management (IM) capabilities, yet many of them find it hard to demonstrate a business focused strategic value. Consequently, IM functions often get treated as cost-center rather than strategic value creators. This study is intended to address this gap by designing and validating a model to link IM initiatives to business outcomes. We develop and validate a framework that links certain IM capabilities to intermediate organizational capabilities, which subsequently affect financial and strategic performance. The IM capabilities under consideration are data quality governance, analytical infrastructure, data accessibility, and master data management. Through a mixed-methods approach utilizing paired survey data from 350 organizations and archival performance data, we do structural equation modeling to test the proposed relationships. Our results show that the strongest effect on operational efficiency comes from data quality governance (β = 0.47, p < 0.001). Meanwhile, cross-functional data accessibility exerts high impact on strategic agility (β = 0.52, p < 0.001). The mediation analysis confirms that IM capabilities influence financial performance only through organization capabilities. Our research contributes to theory and practice by providing (1) an empirically validated causal model extending the Resource-Based View to the domain of the digital context, (2) a measurement instrument for assessing IM value drivers, and (3) a managerial framework for prioritizing IM investments in line with strategic objectives. According to this research, CIOs and CDOs have evidence-based tools to rebrand IM as a technical necessity for better version.

Abstract: This research is aimed at analyzing how the logistics management practices (LMP) influence the logistics performance (LP) in logistics efficiency and logistics effectiveness. Moreover, this research determines the moderation of relationship between logistics performance (LP) and logistics management practices (LMP) through competitive advantage. The data were obtained in 104 manufacturing companies in Jordan in this research. The proposed hypotheses were tested using hierarchical regression analyses. The findings show that the three logistics management practices that include internal integration, information sharing, and postponement have a positive and significant impact on the logistics efficiency, but logistics integration and customer integration do not demonstrate a significant effect. In addition, competitive advantage (CA) mediates the connection between internal integration, logistics integration, and customer integration, and logistics efficiency. The results also indicate that the internal integration, customer integration and postponement have positive impacts that are significant and positive on the logistics effectiveness whereas logistics integration and information sharing do not. Also, competitive advantage (CA) mediates the relationship between the integration of customers and sharing of information, and logistics effectiveness.

Abstract: This systematic review synthesizes literature on project performance, which investigates the roles of corporate governance, finance, and operations. This study supports Sustainable Development Goals (SDGs) by synthesizing firm-level studies supporting sustainable financing. The literature signifies that effective corporate governance improves decision-making, risk allocation, and organizational resilience. On the other hand, social networks enhance collaboration and project performance. In addition, technological adoption in financing and project management improves cost control and resource optimization. It also supports effective decision-making, which links operational and financial objectives with corporate sustainability objectives. Moreover, rational capital allocation optimizes risk-sharing with institutional support. Operational management also improves quality assurance and safety. Thus, managerial decision-making helps attain strategic, financial, and sustainability goals. Furthermore, delivery methods and contractual structures help optimize performance through technology adoption and effective operations. The study suggests an adaptive approach with technology support to improve efficiency in project management.

Abstract: This paper is the first to offer a comprehensive bibliometric analysis of technology-driven innovation in PPM, aiming to portray its intellectual structure, thematic evolution, and future research directions. This study is based on publications indexed in the Web of Science Core Collection database from 2003 to 2025. A systematic search and screening process was used following PRISMA to identify the applicable studies, resulting in a final set of 146 articles. Using analytical tools such as Python-based libraries and VOSviewer, bibliometric performance analysis and science-mapping methods were employed. The results provide evidence of a rising number of publications, particularly after 2018, indicating growing academic interest in digital procurement innovation. The analysis of keyword co-occurrence reveals thematic clusters in empirical research around digital procurement analytics, artificial intelligence, blockchain and smart contracts, digital procurement ecosystems, automation, and sustainability-oriented technologies for procurement. These findings carry significant implications for theory development in procurement research, as well as practical insights for organizations implementing digital procurement strategies and directions for future research on the cyclical features of governance, behavioral dynamics, and technology adoption.

Abstract: This study examines the influence of Project Management Office (PMO) functions on organizational performance via specific strategic and operational channels. Even though PMOs are now an important part of project management in organizations, earlier studies have not been clear about how they add value. This study builds on Organizational Project Management and dynamic capabilities theory to look at five PMO capabilities that have been proven to work in practice: Strategic Alignment, Governance & Standardization, Performance & Value Management, Delivery Support, and Capability Development. It also looks at how these capabilities affect performance outcomes in different ways. The findings indicate that strategic capabilities influence performance indirectly through higher-order strategic mechanisms, whereas operational capabilities have direct effects on execution quality and delivery reliability. This was based on survey data from 243 professionals from different industries and a validated reflective measurement structure. Capability Development works as a tool that makes both pathways stronger. The findings offer empirical validation for a dual-role framework of PMO capabilities, elucidate discrepancies noted in prior PMO performance research, and bolster the classification of PMOs as both strategic orchestrators and operational integrators. The research provides theoretical advancements to the fields of PMO and dynamic capabilities, as well as practical recommendations for creating PMOs that are in line with the goals and growth paths of organizations.

Abstract: This study investigates the influence of Management Accounting Practices (MAPs) on Project Cost Control (PCC) within the context of the Saudi construction industry, a sector pivotal to the nation’s economic diversification under Saudi Vision 2030. Employing a purposive sampling technique, data were collected from 222 industry professionals and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that budgetary control exerts the strongest positive effect on PCC, underscoring its foundational role in cost containment. Additionally, cost monitoring and reporting, cost variance analysis, and the effective utilization of accounting information emerged as significant positive predictors of PCC success. Collectively, these MAPs are instrumental in achieving robust project cost control. The results hold important implications for the Sustainable Development Goals (SDGs), particularly those related to industry, innovation, and infrastructure, by offering actionable insights for policymakers. Mandating robust budgetary control frameworks and integrated accounting systems can significantly reduce resource waste, enhance project efficiency, and contribute to the sustainable development of national infrastructure projects, thereby aligning with the long-term objectives of Saudi Vision 2030.

Abstract: Environmental, social, and governance (ESG) practices have become central to capital-market decision-making and corporate accountability, yet evidence from emerging and transitioning markets remains fragmented and uneven. This study presents a PRISMA-compliant systematic literature review (SLR) of ESG practices in the Kingdom of Saudi Arabia (KSA), synthesizing Scopus-indexed scholarship to clarify dominant research streams, measurement approaches, institutional drivers, and outcome pathways. Using a transparent Scopus search strategy (TITLE-ABS-KEY) covering 2010–2026 and pre-specified eligibility criteria, the review applies a structured screening workflow, quality appraisal rubric, and codebook-driven data extraction. The resulting corpus is mapped through descriptive and light bibliometric profiling and then synthesized via thematic analysis. The synthesis yields six interrelated themes: (1) institutional and regulatory drivers; (2) corporate governance mechanisms; (3) ESG measurement and disclosure quality; (4) ESG and firm outcomes; (5) sectoral heterogeneity; and (6) implementation constraints. Across themes, the evidence suggests that Saudi ESG scholarship is rapidly growing but remains disclosure-centric and method-dependent. Positive ESG, outcome associations are frequently reported; yet, findings vary with measurement choice, endogeneity handling, sample selection, and time-window length, indicating the need to distinguish ESG “reporting outputs” from ESG “organizational practices”. To integrate these insights, the study develops a conceptual framework linking institutional context to firm-level enablers, ESG practices, and outcomes, moderated by sector intensity, firm size and visibility, governance strength, ownership type, and assurance quality, and mediated by capability, disclosure quality, and credibility. The review advances theory and practice by offering a replicable SLR protocol, an integrative model to reconcile mixed findings, and a Saudi-specific research agenda emphasizing causal policy evaluation, materiality-sensitive measurement, assurance and data governance, and richer qualitative process evidence.

Abstract: The objective of the study is to evaluate the influence of entrepreneurial leadership style on project management capacity in small and medium-sized enterprises in Vietnam. The research data was collected through a survey of managers in small and medium-sized enterprises in Vietnam through a questionnaire over 3 months, which collected 231 valid questionnaires for data analysis. The study used Smart PLS 4.1 software to analyze the data. The results show that the entrepreneurial leadership style helps to improve the project management capacity and the success of business projects in small and medium-sized enterprises in Vietnam.