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.

This study investigates the critical role of information technology integration in enhancing project risk management, specifically examining the mediating effect of risk identification effectiveness. Based on a quantitative approach, the study collected data from 173 respondents working in the construction, engineering, and telecommunication sectors using a comprehensive questionnaire. We employed Smart PLS-SEM for data analysis to test the study hypotheses. Our findings reveal that IT integration significantly and positively influences both risk identification effectiveness and overall project risk management. Importantly, the study confirms the mediating role of risk identification effectiveness, indicating that IT's contribution to successful project risk management is significantly enhanced when it empowers teams to identify potential risks early and accurately. These findings indicate the strategic importance for organizations in these sectors to prioritize investments in IT solutions that not only streamline project management processes but also specifically enhance risk identification capabilities. Discussion and conclusion were depicted at the end of work.

Integrating project management (PM) and sustainable development (SD) is not merely an option but a necessity for smart cities (SC) to secure a prosperous future for the next generations. Also, useful PM plays a vital role in fostering sustainable growth within SC, as it enhances the quality of life, conserves natural resources, and encourages technological creation. Therefore, this study aimed to examine the significance of PM in advancing the SD of SC. Randomly 189 questionnaires were distributed to possible respondents working in PM by email, hardcopy mailings, and web-collection apps. The statistical analysis was carried out using SPSS version 25, by using a quantitative research approach. The results showed that all study variables (smart technologies company policies, resource management, and organizational culture) positively impacted smart cities' SD. Therefore, the study recommends enhancing the incorporation of PM and SD in SC by implementing effective processes and technologies that connect harmoniously with technological advancement and environmental and social sustainability.

The study sought to determine how bank financial performance (BFP) was affected by credit risk (CR), liquidity risks (LR), operational risks (OR), financing risks (FR), market risks (MR), in the presence of risk management (RM) as a moderator in conventional and Islamic banks in the Middle East and North Africa. To this end, stratified random sampling and systematic sampling methods were used, with a sample size of thirty conventional banks and thirty Islamic banks from the Kingdom of Saudi Arabia and the Arab Republic of Egypt acting as the unit of analysis. 344 participants that were targeted had completed questionnaires that could be analyzed. The database of the target banks was used to quickly and affordably choose samples. Structural equation modeling was done in conjunction with a tool named Smart PLS 4 (SEM). A 92% reliability coefficient was used to evaluate the instrument's dependability. By assessing study variables using commonly used terminology and consulting with subject matter experts on the research issue, the content validity of the findings was confirmed. PLS 4 was one of the clever analytical approaches used to characterize the study's findings. The following describes the relationship between risk management practices and BFP when utilizing a modified variable (RM): "The study showed that CR does not positively affect BFP in conventional banks when employing a modified RM variable. The study demonstrated that the risk ratio had no positive influence on BFP in Islamic banks using a modified RM variable. It has been established by study that LR has no positive impact on BFP. The study also demonstrated that the LR has no positive effects when the variable RM rate is used in conventional banks. The study's findings demonstrated that the OR does not change when the variable RM rate is used. It is advantageous for BFP in traditional banks. The study discovered that there is a negative correlation between OR and BFP in Islamic banks and that OR has no beneficial effect on BFP when the RM rate variable is included. The study's findings demonstrated a favorable correlation between OR and BFP. The research indicates that in typical banks, FR does not positively increase BFP when employing the adjusted RM variable. The study discovered that there is no correlation between FR and BFP in Islamic banks when the modified RM variable is used. Rather than suggesting a good association between FR and BFP, the results pointed to a negative investigation.

The purposes of this study are to study (1) opinions on the driving performance of cargo truck drivers and (2) the factors that affect the efficiency of driving cargo trucks from Thailand to the Lao PDR by crossing the first Thai-Lao Friendship Bridge. The study was conducted with a sample of truck drivers who transport goods across the Thailand border to Lao PDR at the Nong Khai Customs Area, Nong Khai Province. 384 respondents were acquired by selection according to their convenience. They then completed a questionnaire with confidence values between 0.70 – 0.90. The statistical data analysis for this study included mean and standard deviation, and structural equation analysis. The results showed that: (1) Truck drivers have various opinions on the personal factors of truck drivers; truck driver performance factors and truck driver transportation efficiency indicators are as follows: speed, economy, safety, comfort and punctuality factors, which are at very high levels and (2) The personal factors of a truck driver have a positive influence on truck driver performance while the truckers’ transportation efficiency and the truck drivers’ performance have positive influences on the efficiency of truck drivers' transportation by 54 percent.