Erkan, Turan Erman

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https://hdl.handle.net/20.500.14411/6657
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Turan Erman Erkan
Erkan T.
Erkan,T.E.
T.E.Erkan
E., Turan Erman
Turan Erman, Erkan
Erkan, Turan Erman
E.,Turan Erman
Erkan,Turan Erman
T. E. Erkan
T.,Erkan
T., Erkan
Erkan, E. T.
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Profesör Doktor
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erman.erkan@atilim.edu.tr
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Industrial Engineering
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0000-0002-0078-711X
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23974132900
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24804
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P-MmIkEAAAAJ
WoS Researcher ID
A-7318-2018

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Tehnicki Vjesnik4
5th World Conference on Educational Sciences (WCES) -- FEB 05-08, 2013 -- Rome Sapienza Univ, Rome, ITALY2
3rd International Conference on Information Management and Evaluation (ICIME) -- APR 16-17, 2012 -- Atilim Univ, Performance Management & Applicat Res Ctr, Ankara, TURKEY2
Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi2
Developing Dynamic and Sustainable Supply Chains to Achieve Sustainable Development Goals1
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Author: Rouyendegh, Babak DaneshvarSubject: AHP-TOPSIS

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    Article
    Citation - WoS: 13
    Citation - Scopus: 16
    Sector Selection for Erp Implementation To Achieve Most Impact on Supply Chain Performance by Using Ahp-Topsis Hybrid Method
    (Univ Osijek, Tech Fac, 2014) Rouyendegh, Babak Daneshvar; Bac, Ugur; Erkan, Turan Erman; Industrial Engineering; Computer Engineering
    Recently, studies about the Enterprise Resource Planning (ERP) have been increased and this research area has attracted more attention. Especially, in the global competition environment, enterprises have to focus on their Information Systems ( IS) performance to have a competitive advantage; implementing an ERP system and improving the effectiveness of the system is the only way. However every sector reacts to ERP implementation differently. Purpose of this study is to rank the sectors according to their performance increments after successful ERP implementations by using AHP-TOPSIS hybrid method. As a result, general structure of Turkish companies will be pictured and the sectors which have the most chance to improve their performance by utilizing an ERP system will be defined. These findings will help the companies to plan the implementation process more precisely and help the managers of these companies to define their expectations more clearly. A numerical example is given to clarify the main developed result in this paper.