A fuzzy MCDM approach for project selection criteria prioritization in a big-four company: Evidences from Turkey consultancy sector

Tuğçe Beldek; Aziz Kemal Konyalıoğlu; Hatice Camgöz-Akdağ

doi:10.1007/978-3-030-23756-1_95

A fuzzy MCDM approach for project selection criteria prioritization in a big-four company: Evidences from Turkey consultancy sector

Tuğçe Beldek^*, Aziz Kemal Konyalıoğlu, Hatice Camgöz-Akdağ

^*Corresponding author for this work

Department of Management Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Project selection still remains as a debatable topic in Turkey as competitiveness between companies increases. There are too many factors to be taken into consideration since the process is very long and may be evaluated under uncertainty. Especially, main factors, such as financial, technical, social and risk factors, are not easily decided to take a project and consultancy companies need to be certain about a project’s qualifications in order to minimize uncontrollable factor and maximize controllable factors. However, in many projects, the controllable factors cannot be easily decided, which mean the process does not clearly have a certainty. This paper aims to put forward an MCDM method to evaluate project selection qualifications in a Big-Four company located in Turkey, which leads the projects in Turkey and prioritize the project selection criteria under fuzziness in order to give a perspective about a project’s main criteria and sub criteria and to focus on which qualifications should be focused.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Publisher	Springer Verlag
Pages	796-803
Number of pages	8
ISBN (Print)	9783030237554
DOIs	https://doi.org/10.1007/978-3-030-23756-1_95
Publication status	Published - 2020
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Duration: 23 Jul 2019 → 25 Jul 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1029
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Country/Territory	Turkey
City	Istanbul
Period	23/07/19 → 25/07/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Big Four
Consultancy sector
FAHP
MCDM
Project selection

Access to Document

10.1007/978-3-030-23756-1_95

Cite this

Beldek, T., Konyalıoğlu, A. K., & Camgöz-Akdağ, H. (2020). A fuzzy MCDM approach for project selection criteria prioritization in a big-four company: Evidences from Turkey consultancy sector. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 796-803). (Advances in Intelligent Systems and Computing; Vol. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_95

Beldek, Tuğçe ; Konyalıoğlu, Aziz Kemal ; Camgöz-Akdağ, Hatice. / A fuzzy MCDM approach for project selection criteria prioritization in a big-four company : Evidences from Turkey consultancy sector. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 796-803 (Advances in Intelligent Systems and Computing).

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abstract = "Project selection still remains as a debatable topic in Turkey as competitiveness between companies increases. There are too many factors to be taken into consideration since the process is very long and may be evaluated under uncertainty. Especially, main factors, such as financial, technical, social and risk factors, are not easily decided to take a project and consultancy companies need to be certain about a project{\textquoteright}s qualifications in order to minimize uncontrollable factor and maximize controllable factors. However, in many projects, the controllable factors cannot be easily decided, which mean the process does not clearly have a certainty. This paper aims to put forward an MCDM method to evaluate project selection qualifications in a Big-Four company located in Turkey, which leads the projects in Turkey and prioritize the project selection criteria under fuzziness in order to give a perspective about a project{\textquoteright}s main criteria and sub criteria and to focus on which qualifications should be focused.",

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Beldek, T, Konyalıoğlu, AK & Camgöz-Akdağ, H 2020, A fuzzy MCDM approach for project selection criteria prioritization in a big-four company: Evidences from Turkey consultancy sector. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, vol. 1029, Springer Verlag, pp. 796-803, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_95

A fuzzy MCDM approach for project selection criteria prioritization in a big-four company: Evidences from Turkey consultancy sector. / Beldek, Tuğçe; Konyalıoğlu, Aziz Kemal; Camgöz-Akdağ, Hatice.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 796-803 (Advances in Intelligent Systems and Computing; Vol. 1029).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A fuzzy MCDM approach for project selection criteria prioritization in a big-four company

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2019

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AU - Camgöz-Akdağ, Hatice

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AB - Project selection still remains as a debatable topic in Turkey as competitiveness between companies increases. There are too many factors to be taken into consideration since the process is very long and may be evaluated under uncertainty. Especially, main factors, such as financial, technical, social and risk factors, are not easily decided to take a project and consultancy companies need to be certain about a project’s qualifications in order to minimize uncontrollable factor and maximize controllable factors. However, in many projects, the controllable factors cannot be easily decided, which mean the process does not clearly have a certainty. This paper aims to put forward an MCDM method to evaluate project selection qualifications in a Big-Four company located in Turkey, which leads the projects in Turkey and prioritize the project selection criteria under fuzziness in order to give a perspective about a project’s main criteria and sub criteria and to focus on which qualifications should be focused.

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A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

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A2 - Tolga, A.Cagri

PB - Springer Verlag

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Beldek T, Konyalıoğlu AK, Camgöz-Akdağ H. A fuzzy MCDM approach for project selection criteria prioritization in a big-four company: Evidences from Turkey consultancy sector. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editors, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 796-803. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_95

A fuzzy MCDM approach for project selection criteria prioritization in a big-four company: Evidences from Turkey consultancy sector

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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