A Mathematical Model for Optimizing Organizational Learning Capability
Joint Authors
Alikhani, Masoomeh
Fazlollahtabar, Hamed
Source
Advances in Operations Research
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-05
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Alikhani, Masoomeh& Fazlollahtabar, Hamed. 2014. A Mathematical Model for Optimizing Organizational Learning Capability. Advances in Operations Research،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-475737
Modern Language Association (MLA)
Alikhani, Masoomeh& Fazlollahtabar, Hamed. A Mathematical Model for Optimizing Organizational Learning Capability. Advances in Operations Research No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-475737
American Medical Association (AMA)
Alikhani, Masoomeh& Fazlollahtabar, Hamed. A Mathematical Model for Optimizing Organizational Learning Capability. Advances in Operations Research. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-475737
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-475737