Open AccessCOLLABORATIVE ENGINEERING AND ITS IMPLICATION IN THE ORGANIZATIONAL ENGAGEMENT IN THE INDUSTRIAL SECTOR
Author(s) -
IVAN GIL GIL,
Manuel Domínguez Somonte
Publication year - 2022
Publication title -
dyna
Language(s) - English
Resource type - Journals
eISSN - 1989-1490
pISSN - 0012-7361
DOI - 10.6036/10186
Subject(s) - teamwork , promotion (chess) , employee engagement , multinational corporation , autonomy , productivity , collaborative learning , knowledge management , work engagement , psychology , business , perception , perceived organizational support , public relations , work (physics) , political science , social psychology , organizational commitment , management , engineering , computer science , economics , mechanical engineering , finance , politics , law , macroeconomics , neuroscience
As suggested by several previous studies, employee and managerial engagement is a key factor in an organization's productivity and performance. Positive leadership styles, social support and autonomy, among others, have been proposed as predictors of engagement. Collaborative learning has multiple advantages over learning in competitive and individual situations, including the development of high-skill social competencies, and collaboration and teamwork per se. This paper analyses the correlation between the level of engagement, employees' perception of collaboration and other common predictors of organizational engagement over a seven-year period of field analysis (2014-2020) in multinational companies in the industrial sector. The study shows that the perception of collaboration is significantly positively correlated with engagement and can be a good predictor of engagement. This suggests the suitability of both the adoption of collaborative learning methodologies to middle and higher degrees linked to industry, as well as the promotion by industrial organizations of the application of collaborative engineering and other methods and means for collaborative work.