A Mathematical Model for Optimizing Organizational Learning Capability. (5th May 2014)
- Record Type:
- Journal Article
- Title:
- A Mathematical Model for Optimizing Organizational Learning Capability. (5th May 2014)
- Main Title:
- A Mathematical Model for Optimizing Organizational Learning Capability
- Authors:
- Alikhani, Masoomeh
Fazlollahtabar, Hamed - Other Names:
- Skouri Konstantina Academic Editor.
- Abstract:
- Abstract : Learning capability is the basis of evolution in every organization. Since the simplification and development of learning level in any organization seems to be necessary, in this paper we represent a mathematical model to maximize organizational learning capability. The proposed mathematical model focuses on required cost, labor, and capital, for implementation of ten effective factors on learning capability in different parts of an organization so that they are effective in learning capability with least cost for organization. To measure the factors in different parts of an organization some metrics are introduced. Computational tests confirm the effectiveness of the model. The model is optimized by epsilon constraint while it is multiobjective one. The validation of the model is also reported to emphasize the validity and applicability of the proposed methodology.
- Is Part Of:
- Advances in operations research. Volume 2014(2014)
- Journal:
- Advances in operations research
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-05-05
- Subjects:
- Operations research -- Periodicals
Operations research
Periodicals
003 - Journal URLs:
- https://www.hindawi.com/journals/aor/ ↗
http://bibpurl.oclc.org/web/44187 ↗ - DOI:
- 10.1155/2014/490210 ↗
- Languages:
- English
- ISSNs:
- 1687-9147
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10674.xml