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EXPORT DATE: 19 April 2024

@CONFERENCE{Salazar2021,
author={Salazar, Luis A. and Pardo, Daniela and Guzmán, Sebastián },
editor={ },
title={Results of Key Indicators From Linguistic Action Perspective in Pandemic: Case Study}, 
journal={Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC)}, 
booktitle={Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC)}, 
year={2021},
pages={363-372},
url={http://www.iglc.net/papers/details/1847},
doi={10.24928/2021/0114},
affiliation={PhD Candidate, Department of Construction Engineering and Management, Pontificia  Universidad,Católica de Chile. Assistant Profesor, Construction Engineering, Faculty of Engineering,  Universidad Andres Bello, Santiago, Chile, +56 2 2661 8346, lasalaza@uc.cl, orcid.org/0000-0001- 7339-8935 ; MSc. in Civil Engineering, Civil and Envir. Engineering. Department, Universidad de Los Andes,  Bogotá, Colombia, d.pardo12@uniandes.edu.co, orcid.org/0000-0002-5619-3732 ; Civil Engineering Student, Civil and Envir. Engineering. Department, Universidad de Los Andes,  Bogotá, Colombia, sa.guzmanv@uniandes.edu.co, orcid.org/0000-0002-3333-7318 },
abstract={Due to the low productivity of the construction sector and current global pandemic conditions, it is essential to analyze interpersonal relationships at work, engagement and labour productivity, through the management of commitments. Therefore, this article seeks to measure and analyze key Linguistic Action Perspective (LAP) indicators to examine commitment management in Last Planner® System (LPS) weekly work planning meetings during the pandemic (virtual and face-to-face meetings). The case of study methodology was used in 27 projects of a construction company in Colombia, in which the authors analyzed the results of LAP engagement indicators and compared them to the PPC, determining Spearman´s correlation coefficient in each indicator and finding that the projects that had strong correlations were those where: the percentage of progress was between 65% and 95%; average PPC was between 60% and 90%; a “Big Room” was used; and the meetings had between 10 and 20 attendees. For future research, we propose the use of other methods of relationship, causation and/or prediction analysis, such as Structural Equation Models or Machine Learning, a future methodology for virtual or semi-face-to-face meetings and the study of other performance indicators. },
author_keywords={Linguistic action perspective, pandemic, case Study, Last Planner® System. },
address={Lima, Peru },
issn={ },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}