Project scheduling in resource-constrained mode is one of the most important issues in the field of project management. The main philosophy of this problem is to use less resources while respecting the resource limit to complete the project in a shorter time although other goals can be considered. When a very large amount of data is generated by the meta-heuristic algorithm and there are many variables involved in solving the problem, no other algorithm or technique is able to analyze the output. For this purpose, learnheuristics have the ability to use combined metaheuristics and machine learning tools with high accuracy and in less time to analyze data. The primary purpose of this research is to combine machine learning and genetic algorithms to reduce the project completion time which can lead to a reduction in the cost of the project. Due to the population-based nature of the problem a large amount of initial population was generated. In order to convert the generated schedules into feasible ones, a repair strategy was used. A data matrix was created to import data into the ML model. After specifying the training and testing settings of the model, the decision tree was used to analyze the data of the problem, then its output was applied to the initial population using the displacement or relocation procedure. This manipulated population is given to Genetic Algorithm (GA) and continues until a certain iteration. j60data on the PSPLIB website was used to evaluate the suggested approach. The findings indicate that the implemented approach has improved by 21.75% compared to the normal GA. This improvement means that a better solution could be achieved in less time with fewer calls.

Project management and corporate strategic responses can play active roles in Corporate Environmental and Sustainability Performance (CESP) in times of Economic Policy Uncertainty (EPU) as per Sustainable Development Goals (SDGs). The current literature is missing a review of such linkages. Thus, this review article contributes to the literature by critically evaluating the literature on the complex connection between EPU and CESP, focusing on the concepts of green innovation, Environmental, Social, and Governance (ESG) outcomes, and project management strategies. Following a comprehensive systematic review approach, this article selects 76 empirical studies across developed, underdeveloped, and emerging markets. The findings disclose that EPU was carrying a mixed effect with both a barrier and a potential driver of sustainability initiatives at the firm level. Thus, the increasing EPU reduces long-term green investments, disrupts energy transitions, increases emissions, and increases environmental risk exposure on the one hand. On the other hand, it also promotes project management, strategic adaptation, innovation, and Corporate Social Responsibility (CSR) among firms with strong governance structures and digital capabilities. Moreover, board diversity, CSR disclosure quality, institutional strength, media attention, and technological transformation played their moderating role in determining the effect of EPU on CESP. Furthermore, sectoral heterogeneity and regional asymmetries were also found to be responsible for determining the relationship between EPU and CESP. These findings would guide the policy implications for investors and corporate leaders aiming to enhance CESP under the volatile EPU.

This paper examined how information quality within project management information systems is being improved through the use of blockchain technology. A conceptual framework was developed based on past findings and relevant theories. User satisfaction determinants affecting blockchain adoption success in Jordan were examined in this paper. A cross-sectional design and Random sampling technique were employed. Data collection involved the use of questionnaires. Data obtained from 393 responses were analyzed using AMOS software. The findings showed a significant impact of system quality, information quality, ease of use on user satisfaction, whereas service quality did not show a similar impact. Also, ease of use impacted blockchain adoption success, but user satisfaction did not. In addition, user satisfaction did not mediate the relationship between ease of use and Blockchain adoption success. Results had implications on blockchain use in Jordan. Several recommendations were proposed for forthcoming scholarly works and blockchain actual adoption, in Jordan especially.

The Indonesian construction industry frequently experiences delays and cost overruns due to ineffective project management. This study aims to explore the relationship between project manager knowledge, specifically in the areas of leadership, communication, and technical skills, and its impact on project success. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) and Necessary Condition Analysis (NCA), data from 120 project managers were analysed. Findings reveal that both tacit knowledge and explicit knowledge significantly influence success, with tacit knowledge having a stronger total. Additionally, the NCA results indicate that leadership and technical skills are necessary conditions for achieving project success. Specifically, a minimum of 13.33% knowledge in leadership and 30.83% knowledge in technical skills are required to achieve 80% of project success. The study emphasizes the vital role of knowledge in improving project outcomes.

This study aims to examine the effect of Green Supply Chain Management (GSCM) and Lean Manufacturing (LM) on the achievement of Sustainable Development Goals (SDGs) by including Green Innovation Resilience (GIR) as a mediating variable and Environmental Regulation (ER) as a moderating variable. The problem raised is the lack of research linking GSCM and LM directly or indirectly to SDGs, especially in the furniture industry sector in developing countries. This study uses a quantitative approach with a purposive sampling technique of 230 medium and large-scale furniture companies in East Java. Data was collected through questionnaires distributed online to managers. Data analysis was conducted with SmartPLS 3.2. The uniqueness of this research lies in developing and testing the new concept of GIR as a mediating variable that strengthens the relationship between GSCM and LM on the achievement of SDGs in the furniture industry of developing countries, as well as considering the moderating role of environmental regulation-an integrative approach that has not been comprehensively explored in previous research. The results showed that GSCM and LM have a significant effect on SDGs both directly and through the mediation of GIR. In addition, ER was shown to strengthen the relationship between GSCM and LM on SDGs. These findings indicate the importance of integrating green practices and process efficiency with sustainable innovation and regulatory support in improving industry sustainability performance.

Recycling in manufacturing is becoming increasingly crucial as industries seek to reduce environmental impact and improve operational efficiency. Introducing recycling at the initial stages of the production process plays a critical role in minimizing material waste, conserving natural resources, and promoting sustainable manufacturing. Considering these advantages, integrating recycling into core manufacturing workflows becomes a strategic priority. This study addresses the Flow Shop Scheduling Problem (FSSP), a classical optimization problem in operations research, by integrating a recycling mechanism into the FSSP framework. The problem considers n jobs and m machines, aiming to determine an optimal job sequence that minimizes the makespan while considering recycling activities. An enhanced NEH heuristic is developed to solve this modified FSSP, and its performance is validated using standard benchmark instances. The results demonstrate that incorporating recycling significantly improves production efficiency and offers meaningful insights for advancing sustainable manufacturing practices. A practical industrial case is also examined to illustrate the real-world relevance of the proposed model.

This paper explores the critical influence between financial structures and project financial performance, focusing on the impact of funding sources and sustainability considerations in Saudi production projects. The financial structure of a project, encompassing the mix of debt and equity financing, significantly influences its profitability, liquidity, and long-term viability. This paper examines various funding sources available to project managers, including equity, debt. Furthermore, it underscores the importance of integrating sustainability principles into project financial structures, highlighting how neglecting environmental, social and governance (ESG) factors can negatively affect project outcomes. By understanding the implications of different financial structures and incorporating sustainability considerations, project managers can optimize resource allocation, and ensure the long-term success of their projects. The study relied on a questionnaire to collect data from a sample of administrators and accountants in Saudi production projects using a descriptive analytical approach. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results of the study indicated a positive impact of long-term loans on profitability and sustainable liquidity. It also indicated a positive impact of equity on sustainable profitability and a negative impact on sustainable liquidity in Saudi production projects.

Student learning and how their lessons are delivered have been dramatically changed by COVID-19 pandemic, as evidenced by the widespread utilization of e-learning systems when the pandemic hit. However, the use of e-learning among students worldwide has not been as effective. The e-learning systems success model after the pandemic should be revised. This study examined the role of monitoring quality to validate the e-learning systems success using previous e-learning and information systems success models. Structural equation model was used in data analysis, involving data obtained from 800 students. Results demonstrated positive impacts of information quality, system quality and service quality, on user satisfaction, and positive impact of system use of user on student satisfaction and consequently on student loyalty. Monitoring quality did not show a positive impact on user satisfaction. Significant impact of user satisfaction on learning effectiveness was also shown. This study showed some significant implications for e-learning systems success models both in theory and in practice.

Productivity in companies is a vital element for survival in a competitive and often unequal market, therefore the implementation of the PMBOK in the pastry industry is necessary to provide a standardized framework that allows clearly define objectives, activities, and responsibilities, improving communication and control of scope, time and costs; The research aimed to establish the impact of project management applying the PMBOK in improving productivity in the pastry industry in Huancayo. Basic research developed under a quantitative and correlational level approach, data was collected from 10 companies in the bakery and pastry industry in the city of Huancayo located in the Department of Junín. The information was processed and modeled through structural equations based on PLS. The results indicate a Spearman Rho correlation coefficient of 0.799 with a significance level of 0.000, demonstrating a strong positive relationship between the variables analyzed. Likewise, the general hypothesis is confirmed, which establishes a significant relationship between project management and continuous improvement through the implementation of the PMBOK approach.