The Resource-Constrained Project Scheduling Problem (RCPSP) remains a critical area of study in project management, focusing on optimizing project schedules under constraints such as limited resources and task interdependencies. This review synthesizes advancements from 2016 to 2024, encompassing problem variants, optimization techniques, objectives, and real-world applications. Key developments include the evolution of hybrid metaheuristics, multi-objective optimization approaches, and the integration of stochastic models to enhance robustness against uncertainties. Furthermore, the application of machine learning and sustainability-driven models has expanded the practical scope of RCPSP in dynamic and complex environments. Challenges such as scalability, uncertainty management, and the need for practical implementations are addressed, with future directions emphasizing AI integration, decentralized scheduling, and real-time adaptive solutions. This study provides a comprehensive perspective on RCPSP, bridging theoretical research with practical implications for diverse industries.

The organization strives to provide timely service according to customer needs. Organizations must communicate and make the right decisions quickly to improve performance. The research aims to assess the influence of project management capability, integration, and coordination in improving organizational performance. Data is collected using a questionnaire designed with a five-point Likert scale. The respondents are all suppliers or vendors of high school educational Institutions in East Java. The organization has a project manager responsible for all procurement and projects. The criteria of suppliers or vendors are those who have paid taxes, have a taxpayer number, and have an adequate bank account. Data analysis used the SEM-PLS approach employing SmartPLS software version 4.0. The data processing results showed that project management capability positively affected information technology integration by 0.712, supply coordination by 0.432, and process innovation by 0.250. Information technology integration positively impacted supply coordination by 0.445, process innovation by 0.254, and organizational performance by 0.304. Supply coordination positively affected process innovation by 0.366 and organizational performance by 0.385. Finally, process innovation had a positive effect on organizational performance by 0.234. The research provides insights for foundations to optimize the role of departments in building supply coordination using information technology. Project managers must optimize integrated information technology by maintaining investment and upgrading equipment, making a theoretical contribution to supply chain enrichment, and using a resource-based view.

This study analyses the association between CEO characteristics and financial performance as well as the role that a firm’s governance system may play in enhancing financial performance in the Jordanian context. To achieve this purpose, 2251 firm-year observations were collected from firms listed on the Amman Stock Exchange from 2009-2022. Overall, the results show that there is a positive and significant association between CEO tenure and firm performance. The results also show that the CEO compensation is positively linked with firm performance. However, CEO age and ownership are found to be insignificantly associated with firm performances. Regarding the moderating role of governance quality, the result shows a positive and highly significant impact on CEO tenure and CEO age. Otherwise, whether the quality of governance is high or low, it does not affect the CEO’s compensation and ownership. This study recommends firms listed on the Amman Stock Exchange changing their policy regarding CEO compensation by, for example, including stock options to enhance firm performances.

This study aims at investigating the impact of marketing strategies, i.e., digital marketing, green marketing, and sensory marketing, on restaurant sales a s well as examining the mediating role of sensory marketing in the effect of digital marketing and green marketing on restaurant sales. Developing a literature-based questionnaire to harvest data from a sample consisting of owners or managers of small and medium-sized casual restaurants and analyzing such data using SmartPLS 3.0, it was acknowledged that restaurant sales as an endogenous variable is significantly influenced by these three marketing strategies. Moreover, it was revealed that sensory marketing is a significant mediator in the effects of digital marketing and green marketing on restaurant sales. The originality of this study is that it expands the literature emphasizing the importance of marketing strategies integration to achieve higher sales. Specifically, the study contributes to the literature indicating that restaurants must consider sensory marketing strategy as a key mechanism to enhance the efficiency of digital marketing and green marketing efforts.

In the technological and digital revolution, the world is witnessing unprecedented environmental uncertainty as big data becomes more complex in the labor market. Hence, the study examined the relationship between business analytics, big data, and decision-making insights. The study design used a quantitative approach through a questionnaire distributed to a sample of 412 management levels from international organizations located in King Hussein Business Park in Jordan, named CISCO, Microsoft, Oracle, MBC, Samsung, Migrate, Aramex, Experia, and Ericsson. The data were managed through PROCESS Micro v3.5 software via SPSS packages to investigate the total effects of the study variables. The results confirmed the positive relationship between business analytics, big data, and decision-making insights at a statistically significant level (p < 0.01). The study presented a theoretical development of the role of management in achieving mature visions based on big data that constitute solutions to the complex interactions between technology and human orientation, facilitating the organizational complexities supported by the digital age and transforming them in favor of business decisions in the organizational environment of business companies.

Project Risk Management contains processes ranging from planning to control. It is applied to identify risks, analyze them, and design responses to change the occurrence rate and/or the effect of project risks. It is important for project managers to analyze the effects of the risks in projects and also consider project risks in their decisions. If project risks are not addressed during the risk management process, issues such as schedule delays, cost overruns, and even project failure may occur. This paper aims to introduce a Markov method to integrate project risk analysis and risk response planning. This method is applied to forecast the following status of the project when limited information about the project is available. Moreover, earned value management (EVM) methods were used to include various types of project risks through the project lifecycle. The model also offers the capability to choose the most effective risk response for managing project risks through the application of the Markov decision process (MDP). Eventually, we introduce a case study to demonstrate functionality and effectiveness of the presented approach. Solving the model allows for identifying the best set of risk response strategies tailored to each specific project state. The computational results illustrate that the current state of the project has a significant impact in the process of risk response planning. Since uncertainty is the inherent characteristic of projects, the use of the project’s current state is more reliable than the previous status of projects, and the Markov method is applied in this research because it uses the current state for its modelling. Using this method, managers can predict the future state of projects and find the best response in each status of projects.

This research strives to offer valuable insights into business intelligence and analytics utilization. Besides, its expansion encompasses essential success factors for business intelligence and strategic management in the hospitality industry. The study's sample comprises 387 hotel managers from the Jordanian hospitality industry. Data collected to support the research goal was examined using multiple regression analysis through SPSS, with the assistance of PROCESS Macro v3.5. The results of this study reveal that business intelligence and analytics can serve as a bridge to connect crucial success factors for business intelligence and strategic management. These findings have implications for existing literature and stakeholders. Hotels that have integrated business intelligence and analytics acknowledge the advantages of enhancing their strategic management capabilities and decision-making processes.

This research investigates the mediating effect of Innovative Behavior on the relationship between Emotional Intelligence, Intellectual Intelligence, and supply chain performance. Data were collected from 198 employees of water supply companies across five major cities in Central Java, using purposive sampling and analyzed through structural equation modeling. The findings indicate that both Emotional Intelligence and Intellectual Intelligence positively and significantly impact supply chain performance. Additionally, Innovative Behavior not only positively influences supply chain performance but also mediates the relationship between Emotional and Intellectual Intelligence with supply chain performance. The study suggests that enhancing Emotional and Intellectual Intelligence through Innovative Behavior can significantly improve supply chain performance in water supply companies. Organizations are recommended to incorporate Emotional Intelligence into selection and training programs, develop initiatives to boost Emotional and Intellectual Intelligence through training in areas such as emotional management, interpersonal communication, problem-solving, critical thinking, and creativity, and create a supportive work environment that encourages innovative behavior. Implementing these strategies can lead to more efficient operations, better resource management, and increased customer satisfaction, thereby enhancing overall supply chain performance.

The study aimed to explore The Role of Big Data in Improving the Balanced Scorecard in Jordanian Commercial Banks. The descriptive approach was employed, and the quantitative method was adopted to achieve the study’s objectives and test its hypotheses. A questionnaire tool was developed, consisting of four sections for big data and four sections for the balanced scorecard, comprising a total of 48 items. The validity and reliability of the tool were verified. The questionnaire was allocated to a sample of 400 employees of the study community which is the Jordanian commercial banks. The study's findings revealed that big data has a statistically significant impact on enhancing the balanced scorecard in Jordanian commercial banks. Dimensions of big data, such as "variety" and "veracity," had a positive and direct effect on improving all aspects of the balanced scorecard, including financial performance, customer service, learning, and growth. On the other hand, the impact of "volume" and "velocity" was limited or statistically insignificant in some aspects. According to multiple regression analyses, big data contributes to explaining 82% of the improvements observed in the balanced scorecard, highlighting the importance of investing in big data to enhance operational and financial performance.

Halal supply chain management, with its focus on Islamic values in tourism, is increasingly recognized for enhancing destination competitiveness and visitor satisfaction. This study examines how Islamic attributes, motivations, and norms influence visitor satisfaction and word of mouth in Medan City's tourism sector. In the halal tourism industry, supply chain management plays a crucial role in ensuring that every stage from procurement, production, distribution, to service delivery complies with halal standards. The research aims to evaluate the impact of Islamic Physical Attributes, Islamic Non-Physical Attributes, Push Motivation, Pull Motivation, and Islamic Norms on visitor satisfaction and their subsequent effect on word of mouth. By employing a quantitative approach, the study utilizes structured questionnaires based on previous research and applies Structural Equation Modeling (SEM) for analysis. Data were collected from 300 tourists in Medan City, including both local and international visitors. The study finds that Islamic Non-Physical Attributes and Pull Motivation significantly enhance visitor satisfaction. Islamic Physical Attributes also positively affect satisfaction, while Push Motivation does not. Satisfaction strongly influences word of mouth, but Islamic Norms negatively moderate this relationship. Islamic attributes and motivations play a crucial role in shaping visitor satisfaction in the tourism context. Islamic norms, however, may complicate the satisfaction-word of mouth link. The implementation of effective halal supply chain management can ensure that all aspects of supply chain management in halal tourism, from products to services, meet the expected halal standards. Practically, destination managers should emphasize Islamic attributes and motivational factors to improve visitor satisfaction. Theoretically, the study contributes to understanding the complex dynamics between satisfaction, norms, and word of mouth in halal tourism.