SECOL: a semantic environment based on social media to support organisational learning

Autor: H. Sofia Pinto, André Luís Andrade Menolli, Andreia Malucelli, Sheila Reinehr
Rok vydání: 2016
Předmět:
Zdroj: Behaviour & Information Technology. 36:364-389
ISSN: 1362-3001
0144-929X
Popis: Organisational learning OL helps companies to significantly improve their processes through the reuse of experiences, making knowledge accessible to the whole organisation. However, establishing learning in software development companies is not a trivial task, since it is an area in which processes and knowledge are usually hidden inside the employees’ mind. Generally, employees prefer to look for knowledge via Internet search engines rather than using the knowledge produced inside the company. Hence, we explored how better organising content produced within the company may minimise this problem. We investigated how a semantic collaborative environment, titled semantic collaborative environment for organisational learning SECOL, based on social software, learning objects LOs, and units of learning UL may assist to improve OL for software development companies. We defined an approach to generate LOs and UL from social software’s content used by companies. The environment was implemented based on ontologies in order to represent and organise acquired knowledge. Furthermore, an experiment was conducted using qualitative data analysis. The results indicated that the use of the environment is appropriate to improve OL in software development teams and the use of SECOL is efficient, particularly in order to acquire new knowledge, assisting the promotion of the use of organisational patterns and minimising repeated solutions.
Databáze: OpenAIRE