Determining competition power by performance driver analysis
dc.contributor.author | Yüksel, İhsan | |
dc.contributor.author | Dagdeviren, Metin | |
dc.contributor.author | Kabak, Mehmet | |
dc.date.accessioned | 2020-06-25T18:17:07Z | |
dc.date.available | 2020-06-25T18:17:07Z | |
dc.date.issued | 2016 | |
dc.department | Kırıkkale Üniversitesi | |
dc.description | 12th International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS) -- AUG 29-30, 2016 -- Vienna, AUSTRIA | |
dc.description | yuksel, ihsan/0000-0002-5799-8794 | |
dc.description.abstract | Competition power is main indicator for performance of a corporate. But the competition concept involves different factors that have affected the performance of corporate in the industry or segment. At the same time competition has vagueness due to coming events, future decisions, and behaviors of rivals. These factors can be driver or brake for corporate performance. Hence, structure of competition requires a fuzzy and multi criteria approach. The aim of this study is to determine the competition power of a corporate based on the driver analysis concept by using fuzzy analytic hierarchy process (AHP) technique. In the study, firstly the factors that have affected the competition power of corporate and strategies were selected. Then factors have been classified as drivers or brakes according to the effects on the competition power of corporate. After these steps integrated, the model has been formed with performance driver analysis and AHP technique. The weight of factors has been calculated by using fuzzy number. At the end of the study, the competition power has been determined based on the proposed model. (C) 2016 The Authors. Published by Elsevier B.V. | en_US |
dc.description.sponsorship | Azerbaijan Assoc Zadehs Legacy & Artificial Intelligence, Azerbaijan State Oil & Ind Univ, Berkeley Initiative Soft Comp, Georgia State Univ, Near E Univ, TOBB Econ & Technol Univ, Univ Alberta, Univ Siegen, Univ Texas, Univ Toronto | en_US |
dc.identifier.doi | 10.1016/j.procs.2016.09.439 | |
dc.identifier.endpage | 539 | en_US |
dc.identifier.issn | 1877-0509 | |
dc.identifier.startpage | 533 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.procs.2016.09.439 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12587/6698 | |
dc.identifier.volume | 102 | en_US |
dc.identifier.wos | WOS:000387583800082 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | |
dc.language.iso | en | |
dc.publisher | Elsevier Science Bv | en_US |
dc.relation.ispartof | 12Th International Conference On Application Of Fuzzy Systems And Soft Computing, Icafs 2016 | |
dc.relation.ispartofseries | Procedia Computer Science | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Competition power | en_US |
dc.subject | performance driver analysis | en_US |
dc.subject | fuzzy analytic hierarchy process | en_US |
dc.title | Determining competition power by performance driver analysis | en_US |
dc.type | Conference Object |
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