Title: | Application of fuzzy AHP approach to selection of organizational structure with consideration to contextual dimensions |
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Authors: | ID Aslani, Alireza (Author) ID Aslani, Feryal (Author) |
Files: | Organizacija_2012_Aslani,_Aslani_Application_of_fuzzy_AHP_approach_to_selection_of_organizational_structure_with_consideration_to_contex.pdf (576,00 KB) MD5: 936318EA18177499E6253F2B65033281 PID: 20.500.12556/dkum/1f64a576-a746-4a6c-aabb-786ef964e8a4
http://www.degruyter.com/view/j/orga.2012.45.issue-5/v10051-012-0025-1/v10051-012-0025-1.xml
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Language: | English |
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Work type: | Scientific work |
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Typology: | 1.01 - Original Scientific Article |
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Organization: | FOV - Faculty of Organizational Sciences in Kranj
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Abstract: | The literature of organizational structure design is relatively rich along with conceptual and complex patterns. This complexity arising from the number of elements and numerous relations in addition to the nature of variables. Thereby, the lack of operational decision-making models is felt to propose adequate structural designs in practice. In this article, the researchers employ a fuzzy multi attribute decision making model (FMADM) to select the most suitable organizational structure based on expert’s judgments and by deploying contextual dimensions of the organization. Since the organizational changes especially in the structural levels are along with resistances among involved staffs, the implementation of this model is a supportive tool in addition to help the managers to make a qualified decision and change. |
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Keywords: | organizational structure designing, business process reengineering, development management, integration, fuzzy ahpimage analysis, probabilistic modeling, signal processing, license plate recognition |
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Publication status in journal: | Published |
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Article version: | Publisher's version of article |
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Year of publishing: | 2012 |
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Number of pages: | str. 246-254 |
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Numbering: | Letn. 45, št. 5 |
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PID: | 20.500.12556/DKUM-69077  |
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ISSN: | 1318-5454 |
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UDC: | 005.721 |
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ISSN on article: | 1318-5454 |
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COBISS.SI-ID: | 265772032  |
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DOI: | 10.2478/v10051-012-0025-1  |
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NUK URN: | URN:SI:UM:DK:GQBF0PVI |
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Publication date in DKUM: | 28.11.2017 |
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Views: | 1074 |
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Downloads: | 333 |
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Metadata: |  |
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Categories: | Misc.
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