This paper examines the relationship between the presence of the foreign chief executive officer (CEO) as a director of a firm and firm performance in Saudi Arabia. Performance is measured in terms of a business’ profitability proxy, return on assets (ROA), and the market performance measure, Tobin’s Q. Herein, we use a sample of non-financial companies that have been listed in Saudi Arabia between 2005 and 2016. The results reveal that firms managed by a local CEO outperform firms helmed by their foreign counterparts. They also support the notion that the success of managing directors in emerging markets requires cultural and intercultural skills.

The aim of the study is to determine the effectiveness of corporate governance on corporate social responsibility (CSR) performance and financial reporting quality in Saudi Arabia's manufacturing sector. The data is collected through the database of Thomson Reuters from 30 manufacturing companies of Saudi Arabia over the period 2014-2020. Descriptive statistics and the generalized least square (GLS) model were applied. The dependent variable was calculated through residuals and was found as discretionary accruals (DA). The findings reveal that there was a positive influence of corporate governance on CSR performance and financial reporting quality. It was found that sample size was one of the biggest limitations because only data from 2014 to 2020 were collected and to make the study more reliable and authentic, larger data is required.

This study investigates the influence of technological innovation, sustainability culture, and top management support on project management performance in Saudi Arabia's manufacturing sector. Employing a cross-sectional quantitative research design, data was collected from 293 employees using a convenience sampling technique. Structural Equation Modeling (SEM) with SmartPLS software was utilized for data analysis to examine the proposed relationships between the constructs. The findings indicate that technological innovation has a significant positive effect on both sustainability culture and top management support. Furthermore, both sustainability culture and top management support were found to positively influence project management performance. The results underscore the critical role of technological advancements in fostering a culture of sustainability and obtaining strong leadership support, which in turn contributes to enhanced project outcomes. This study offers important insights for the manufacturing sector in Saudi Arabia, particularly as it aligns with the country’s Vision 2030 objectives, aiming to diversify its economy through innovation, sustainability, and enhanced project performance.

The significance of project scheduling and sequencing has increased considerably in recent years, driven by the rising customer demand for highly personalized solutions. Companies have to consider multiple criteria while executing multiple projects simultaneously to meet the customer demands. Therefore, this study focuses on the multi-objective multi-project scheduling and sequencing problem (MP-SSP). A simulation-based mathematical model is developed and integrated with a multi-objective genetic algorithm. The objectives of this model are to minimize the project execution cost, project completion time and project lateness simultaneously while maximizing the resource utilization in the stochastic environment. Goal attainment programming is introduced in the simulation integrated multi-objective genetic algorithm (SIHMO-GA) to increase the effectiveness of the algorithm. Further, response surface methodology (RSM) has been used to find the optimum parameters of the proposed SIHMO-GA. The effectiveness of the proposed SIHMO-GA is evaluated through a real-world case study by comparing it with simulation-optimization approaches, namely the multi-objective genetic algorithm (MOGA) and goal attainment programming. Gap analysis indicates that the SIHMO-GA provides best trade off values of the above-mentioned conflicting objectives under a stochastic environment. This study supports practical scheduling and sequencing of multiple projects in a stochastic environment by generating solutions that maximize profit, enhance resource utilization, and ensure customer satisfaction through timely project delivery.

This study examines the impact of artificial intelligence (AI) on project management performance, with a focus on the mediating roles of top management support and project management competence retention. A cross-sectional research design was employed, and data were collected from 309 employees using a convenience sampling technique. Conducted within the context of Saudi Arabia’s manufacturing sector, the research aligns with the nation’s Vision 2030 goals of economic diversification and technological advancement. Data analysis was performed using structural equation modeling (SEM) to examine the relationships between the constructs. The results reveal that AI has a significant direct impact on both top management support (β = 0.865) and competence retention (β = 0.827), while also indirectly enhancing project performance through these mediating factors (β = 0.666 and β = 0.471, respectively). Additionally, top management support (β = 0.771) and competence retention (β = 0.507) directly influence project performance. The findings highlight the critical role of AI in improving decision-making, resource allocation, and skill retention, ultimately leading to better project outcomes. The findings have significant implications for organizations and policymakers. Practically, organizations in Saudi Arabia’s manufacturing sector can leverage AI to enhance project outcomes by improving decision-making, resource allocation, and skill retention.

The article presents a methodological tool for analysis and evaluation of business processes of Ukrainian en-terprises. The proposed methodology is provided for the identification of “problem” areas of certain business processes by calculating average weighted, integral and generic indicators of efficiency and effectiveness. It allows to evaluate the status of both certain business processes of enterprises and their totality, and to set the priorities of management actions for their improvements. The proposed methodology is examined on the example of a specific enterprise of the construction industry. In the framework of the proposed criteria (financial-economic, resource-production, external integration, organizational), a list of indicators, taking into account the specifics of the enterprise are formed. Assessment of the efficiency and effectiveness of business processes by the specified criteria and indicators allows one to monitor the current activity of the enterprise and evaluate the effectiveness of its operations at every moment of time.

This study examines the success drivers of Supply Chain Performance (SCP). This study aims to examine the interrelationships among various proposed success drivers of SCP that were analyzed individually or collectively in some previous studies. Four proposed forces have been identified in this study including organizational culture, SC relationships, SC integration, and SC innovation. SC integration is seen as a mediating factor between SC relationships and SCP. Using a deductive and quantitative approach that is based on collecting data from (17) companies in the field of logistics using an online survey, the study focuses on four success drivers including organizational culture, SC innovation, SC relationships, and SC integration. Smart PLS 3 software was applied to analyze the data based on the use of Structural Equation Modelling (SEM). The findings confirm that organizational culture and SC innovation have a direct significant impact on SCP. Regarding the mediating role of SC integration, the finds confirmed that SC integration mediates the relationship between SC relationships and SCP. A set of implications and recommendations for decision-makers and researchers are proposed based on the empirical findings of the current study. SC managers must first consider organizational culture and try to create positive supportive cultural attributes. A culture that encourages openness to change, sharing of knowledge, and collaboration seems a necessity to further improve SCP. Additionally, as the study findings emphasized the significant impact of SC innovation, SC managers should encourage innovative initiatives and behavior.

The purpose of this study is to analyze the effect of supply chain management on competitiveness, the positive effect of supply chain management on performance and the positive influence of competitiveness on performance in restaurants in the province of Banten Indonesia. The research method uses a hypothesis testing model, the respondents of this research are tourists who want to travel to a tourist attraction in Banten Province. Data collection is done online, using the Google Form website. Researchers distributed questionnaires to tourists using social media who had visited Banten province. This study uses a convenience sampling technique, where the sample members are respondents who are easy to find, and the convenience makes data collection more effective and efficient since it saves time and costs. The sample in this study was 290 tourists who had visited Banten Province. The technique of collecting data in this study used an online questionnaire, data analysis using structural equation modeling (SEM) by applying SmartPLS 3.0 software. Based on the results of data analysis, the results show there is a significant relationship between supply chain management and competitiveness, a significant relationship exists between supply chain management and restaurant performance and finally, competitiveness influences positively the restaurant performance.

The purpose of this study is to analyze the effect of supply chain management on competitive advantage in SMEs, the effect of competitive advantage on company performance in SMEs, and the influence of supply chain management on company performance mediated by competitive advantage in SMEs. This study uses quantitative methods and data analysis techniques based on Structural Equation Modeling using SmartPLS 3.0 software. The sample selection method uses non-probability sampling methods. Online questionnaires were sent to 340 SMEs respondents, the next step is to evaluate the returned 320 questionnaires. The results indicate that supply chain management had a significant influence on company performance and competitive advantage. Competitive Advantage also had a significant influence on company performance and played a mediate influence between supply chain management and company performance. The company's ability had a positive effect on competitive advantage and finally, adequate company capabilities had an impact on competitive advantage.

The objective of this study is to assess the joint effect of corporate entrepreneurship (CE) and supply chain management (SCM) strategies on firm performance in the circumstance of Saudi Arabian manufacturing firms. This is interesting in the sense that while previous scholars have focused on CE and SCM separately, the combinative aspect of the two particularly in nonwestern countries seems still to be short of attention. In this respect, this paper attempts to apply a resource-based view and suggest that CE and SCM complement each other and in the end performance of the firm will be increased. Out of the 84 Saudi manufacturing firms covered in the structured survey, data was analyzed using Ordinary Least Squares (OLS) regression. The results indicate that CE, particularly dimensions such as new business venturing, product innovation, technological entrepreneurship, mission reformulation, reorganization and system-wide changes, significantly enhances firm performance. Additionally, SCM strategies were found to have a positive and statistically significant impact on firm performance, highlighting the critical role of effective supply chain management in operational efficiency and competitive positioning. The findings contribute to the literature by providing empirical evidence from a Middle Eastern context, thereby enhancing the generalizability of existing theories on CE and SCM. The study also offers practical implications for managers and policymakers, suggesting that aligning CE initiatives with SCM strategies can drive sustained competitive advantage. These insights are particularly relevant for firms operating in emerging markets, where economic reforms and diversification efforts, such as Saudi Arabia's Vision 2030, necessitate strategic innovation and supply chain optimization.