Learning and Knowledge Transfer of Professionals within the Building Services Sector
Learning and Knowledge Transfer of Professionals within the Building Services Sector
Samenvatting
Buildings need to be carefully operated and maintained for optimum health, comfort, energy performance, and utility costs. The increasing use of Machine Learning combined with Big Data in the building services sector has shown the potential to bring energy efficiency and cost-effectiveness. Therefore, upskilling and reskilling the current workforce is required to realize new possibilities. In addition, sharing and preserving knowledge are also required for the sustainable growth of professionals and companies. This formed the basis for the Dutch Research Council funded TransAct project. To increase access to education on the job, online learning is experiencing phenomenal growth. A study was conducted with two focus groups - professionals of a building service company and university researchers - to understand the existing challenges and the ways to improve knowledge sharing and upskilling through learning on the job. This study introduced an Enterprise Social Network platform that connects members and may facilitate knowledge sharing. As a community forum, Yammer from office 365 was used. For hosting project files, a SharePoint page was created. For online courses, the company’s online learning site was utilized. The log data from the online tools were analysed, semi-structured interviews and webinars were conducted and feedback was collected with google forms. Incentive models like social recognition and innovative project results were used to motivate the professionals for online activities. This paper distinguishes the impacts of initiatives on the behaviour of university researchers vs company employees.
Organisatie | De Haagse Hogeschool |
Afdeling | Faculteit Business, Finance & Marketing |
Lectoraat | Lectoraat Duurzame Talentontwikkeling |
Gepubliceerd in | Pro TU Delft Open, Delft |
Jaar | 2022 |
Type | Conferentiebijdrage |
DOI | 10.34641/clima.2022.142 |
Taal | Engels |