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This research explores the link between job redesign and skilling in three Lebanese service provider industries, aiming to understand how these factors affect organizational agility, a crucial factor for efficiency and effectiveness and promote long-term interventions through job redesign, upskilling and reskilling.

This study employed two surveys, one for personnel (employees) and one for human aid managers (HR managers). These surveys collected data from 384 employees and 67 HR managers. The study utilized a work design questionnaire (WDQ), skilling application evaluation and the change acceptance model and testing to evaluate job redesign, skilling application effectiveness, technology acceptance and change readiness.

It was revealed that there is a significant and positive relationship between job redesign and the application of skilling programs. This relationship was shown to enhance organizational agility, with a particular focus on employees' technology acceptance and readiness for change. The integrated framework that combines job redesign, upskilling and reskilling was empirically tested and found to enable organizations to build their agility. The study also identified challenges and offered solutions for implementation, emphasizing the importance of employee responsiveness.

This research emphasizes the need for organizations to adapt job designs and enhance employee skills to enhance organizational agility, recommending a structured approach that combines job redesign and skill development efforts.

This research integrates job redesign, upskilling and reskilling in Lebanese service provider industries, contributing to organizational change and workforce development. It emphasizes technology acceptance and readiness for change.

This study aims to develop a comprehensive conceptual framework that serves as a foundation for identifying most critical delay risk drivers for Building Information Modelling (BIM)-based construction projects.

A systematic review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to identify key delay risk drivers in BIM-based construction projects that have significant impact on the performance of delay risk predictive modelling techniques.

The results show that contractor related driver and external related driver are the most important delay driver categories to be considered when developing delay risk predictive models for BIM-based construction projects.

This study contributes to the body of knowledge by filling the gap in lack of a conceptual framework for selecting key delay risk drivers for BIM-based construction projects, which has hampered scientific progress toward development of extremely effective delay risk predictive models for BIM-based construction projects. Furthermore, this study's analyses further confirmed a positive effect of BIM on construction project delay.