As Saudi Arabia embarks upon a transformative economic journey under the umbrella of its Vision 2030 and National Transformation Plan, the Saudi government plans to implement various initiatives to engage the private sector in meeting new national development goals, including the provision of 1600 schools through the public-private partnership (PPP) route. This article provides an international outlook and review of the use of PPPs to deliver school infrastructure and analyzes Saudi Arabia’s potential to implement this promising program. Effective use of the PPP model can guarantee the timely provision of schools and other infrastructure projects that could fulfill the vision of Saudi Arabia’s political leadership, potentially serving as a catalyst and blueprint for other Gulf states. The case study argues that, while Saudi Arabia’s schools’ program enjoys significant political support, its government needs simultaneously to pursue the parallel objective of developing the necessary institutional, legal, regulatory, and supervisory frameworks essential for successful PPP projects globally. The article concludes with recommendations to mitigate existing challenges and foster the involvement of the private sector in education sector development.

What personal competences of successful project managers are determined by their former career as an elite athlete? To answer the question, comprehensive research is carried out, implemented as part of the EEIG-EU/P-Kr/06.12/23 project. The primary aim is to establish conclusively which particular personality traits, identified and analysed using the Big Five Inventory-2 and supplemented by structured interviews, directly contribute to the success of former elite athletes transitioning into roles as effective project managers. We found that successful project managers who were also elite athletes possess personality traits that can be identified as positive determinants of success in either sport or professional careers. Among these personality traits, we can include a low level of neuroticism and a high level of conscientiousness, then extraversion and agreeableness. This paper contributes to a nuanced understanding of how the realms of sports and management intersect and overlap. The presented paper can serve as a basis for further research in the field of personality psychology and management studies.

This study explores the factors affecting dentists’ willingness to use social media in their practices, examining how consumer behavior influences their adoption decisions. Despite the growing use of social media across industries, its adoption in dentistry remains relatively underexplored. As investments in digital technologies increase, understanding dentists’ intentions to integrate social media becomes crucial, especially considering the evolving consumer behavior patterns in healthcare. Using the Technology Acceptance Model (TAM) and factoring in patient pressures, this study analyzes data from 209 respondents through SPSS and Smart PLS 4.0. The results offer valuable insights for dentists, highlighting the benefits of social media integration, and justifying investments in these platforms to align with changing consumer expectations. The study also discusses its limitations and suggests future research directions to further explore social media adoption in dentistry and its potential to drive economic growth within the sector.

Cyber-physical Systems (CPS) have revolutionized urban transportation worldwide, but their implementation in developing countries faces significant challenges, including infrastructure modernization, resource constraints, and varying internet accessibility. This paper proposes a methodological framework for optimizing the implementation of Cyber-Physical Urban Mobility Systems (CPUMS) tailored to improve the quality of life in developing countries. Central to this framework is the Dependency Structure Matrix (DSM) approach, augmented with advanced artificial intelligence techniques. The DSM facilitates the visualization and integration of CPUMS components, while statistical and multivariate analysis tool such as Principal Component Analysis (PCA) and artificial intelligence methods such as K-means clustering enhance complex system the analysis and optimization of complex system decisions. These techniques enable engineers and urban planners to design modular and integrated CPUMS components that are crucial for efficient, and sustainable urban mobility solutions. The interdisciplinary approach addresses local challenges and streamlines the design process, fostering economic development and technological innovation. Using DSM and advanced artificial intelligence, this research aims to optimize CPS-based urban mobility solutions, by identifying critical outliers for targeted management and system optimization.

The purpose of the study was to examine the role of personalization in motivating senior citizens to use AI driven fitness apps. Vroom’s expectancy theory of motivation was applied to examine the motivation of senior citizens. The responses from participants were collected through structured interviews. The participants belonged to South Asian origin belonging to India, Bangladesh, Nepal and Bhutan. The authors adopted a content analysis approach where the gathered interview responses were coded in the context of elements of Vroom’s theory. The findings of the study indicated that a highly personalized approach in the context of motivation, expectancy, instrumentality and valence will motivate senior citizens to use AI based fitness apps. The study contributes to the personalization of AI fitness apps for senior citizens.