- New Modes of Operating for Construction Organizations during the COVID-19 Pandemic: Challenges, Actions, and Future Best Practices. Dans: Journal of Management in Engineering (ASCE), v. 38, n. 2 (mars 2022). (2022):
- How to Improve Crew Motivation and Performance on Construction Sites. Dans: Journal of Construction Engineering and Management, v. 147, n. 9 (septembre 2021). (2021):
- Hybrid fuzzy Monte Carlo agent-based modeling of workforce motivation and performance in construction. Dans: Construction Innovation, v. 21, n. 3 (10 juillet 2021). (2021):
- Digitalization Opportunities Road Mapping Tool (DORMT©): A Framework to Assess Digitalization Opportunities in Construction Organizations. Dans: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 49, n. 2 (février 2022). (2022):
- Fuzzy Agent-Based Multicriteria Decision-Making Model for Analyzing Construction Crew Performance. Dans: Journal of Management in Engineering (ASCE), v. 36, n. 5 (septembre 2020). (2020):
- Fuzzy Monte Carlo Agent-Based Simulation of Construction Crew Performance. Dans: Journal of Construction Engineering and Management, v. 146, n. 5 (mai 2020). (2020):
- Process Improvement for Power Plant Turnaround Planning and Management. Dans: International Journal of Architecture Engineering and Construction, v. 3, n. 3 ( 2014). (2014):
- Fuzzy Agent-Based Modeling of Construction Crew Motivation and Performance. Dans: Journal of Computing in Civil Engineering, v. 32, n. 5 (septembre 2018). (2018):
- Key Moderators of the Relationship between Construction Crew Motivation and Performance. Dans: Journal of Construction Engineering and Management, v. 144, n. 6 (juin 2018). (2018):
- Framework for Identification of Factors Affecting Construction Crew Motivation and Performance. Dans: Journal of Construction Engineering and Management, v. 144, n. 9 (septembre 2018). (2018):