Abstract
The purpose of this paper is to examine the concept of organisational unlearning and its relationship with firm performance through human capital effectiveness. To that end, a comprehensive review of the literature on the concept of unlearning has been carried out and a theoretical model to measure these relationships has been developed. A sample of 112 Spanish companies listed on the Stock Exchange was then used to validate the proposed model. The quantitative methodology used is based on the methods of structural equations (PLS). It involved the construction and analysis of a structural model using subjective and objective criteria in our measurement variables. Our results show that organisational unlearning indirectly affects firm performance by developing and exploiting new skills and abilities that increase the value and effectiveness of human capital.
Original language | English |
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Title of host publication | Proceedings of the 18th European Conference on Knowledge Management, ECKM 2017 |
Editors | Ramon Bastida Vialcanet, Frederic Marimon, Jasmina Berbegal-Mirabent, Ramon Bastida Vialcanet, Marta Mas-Machuca, Jasmina Berbegal-Mirabent |
Publisher | Academic Conferences Limited |
Pages | 15-19 |
Number of pages | 5 |
ISBN (Electronic) | 9781911218487 |
Publication status | Published - 3 Sept 2017 |
Event | 18th European Conference on Knowledge Management, ECKM 2017 - Barcelona, Spain Duration: 7 Sept 2017 → 8 Sept 2017 Conference number: 18 http://www.academic-conferences.org/conferences/eckm/ |
Publication series
Name | Proceedings of the European Conference on Knowledge Management, ECKM |
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Volume | 1 |
ISSN (Print) | 2048-8963 |
ISSN (Electronic) | 2048-8971 |
Conference
Conference | 18th European Conference on Knowledge Management, ECKM 2017 |
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Abbreviated title | ECKM |
Country/Territory | Spain |
City | Barcelona |
Period | 7/09/17 → 8/09/17 |
Internet address |
Keywords
- Context of organisational unlearning
- Firm performance
- Human capital effectiveness
- Organisational unlearning
ASJC Scopus subject areas
- Information Systems and Management
- Management Science and Operations Research