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USING MACBETH AND MABAC METHODS IN THE SELECTION OF ENTERPRISE RESOURCE PLANNING (ERP) SYSTEMS

Yıl 2019, Cilt: 33 Sayı: 2, 533 - 552, 29.03.2019

Öz

Enterprise resource planning (ERP) systems enable
faster and easier decision making by coordination between different units of
enterprises. Therefore, the selection of the right ERP system is a very
important issue for enterprises. Since there are many criteria to be considered
in the selection of these systems, it will be possible to take advantage of the
multi-criteria decision making (MCDM) methods. In this study, it was aimed to
choose the best ERP system by using MACBETH and MABAC methods as integrated in
the MCDM methods. The importance weights of the criterion calculated with MACBETH,
which is a subjective method; the system alternatives were evaluated by MABAC
method. According to the results of the analysis, it is concluded that the most
important criteria are functionality, ease of use and brand image; the best
performing system alternative is SAP.

Kaynakça

  • Ahn, B. S., & Choi, S. H. (2008). ERP System Selection using a Simulation-Based AHP Approach: A Case of Korean Home shopping Company. Journal of the Operational Research Society, 59(3), 322-330.
  • Alanbay, O. (2005). ERP Selection Using Expert Choice Software. Honolulu, Hawaii, July, 8-10.
  • Asl, M. B., Khalilzadeh, A., Youshanlouei, H. R., & Mood, M. M. (2012). Identifying and Ranking the Effective Factors on Selecting Enterprise Resource Planning (ERP) System Using the Combined Delphi and Shannon Entropy Approach. Procedia-Social and Behavioral Sciences, 41, 513-520.
  • Baki, B., & Çakar, K. (2005). Determining the ERP Package-Selecting Criteria: The Case of Turkish Manufacturing Companies. Business Process Management Journal, 11(1), 75-86.
  • Bana e Costa C.A., Chagas M. P. (2004). A Career Choice Problem: An Example of How to Use MACBETH to Build a Quantitative Value Model Based on Qualitative Value Judgments, European Journal of Operational Research, 153, 323–331.
  • Başar, R., & Arslan, H. M. (2017). Kurumsal Kaynak Planlaması (ERP) Yazılımının En Uygun Uzlaşık Çözüm (VIKOR) İle Seçimi. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 22(4), 1065-1080.
  • Bernroider, E. W., & Stix, V. (2003). The Evaluation of ERP Systems using Data Envelopment Analysis. In Proceedings of IRMA (Vol. 2003, pp. 283-286).
  • Bueno, S., & Salmeron, J. L. (2008). Fuzzy Modeling Enterprise Resource Planning Tool Selection. Computer Standards & Interfaces, 30(3), 137-147.
  • Carnero, M. C., & Gómez, A. (2016). A multicriteria decision making approach applied to improving maintenance policies in healthcare organizations. BMC Medical Informatics and Decision Making, 16(1), 47.
  • Cuadrado, M. R., & Fernández, M. G. (2013). Methodology to select the best business game in higher education. American Journal of Industrial and Business Management, 3(7), 589.
  • Demirtaş, N., Alp, Ö. N., Tuzkaya, U. R., & Baraçlı, H. (2011). Fuzzy AHP–TOPSIS Two Stages Methodology for ERP Software Selection: An Application in Passenger Transport Sector. In 15th International Research/Expert Conference ‘Trends in the Development of Machinery and Associated Technology, 277-280.
  • Ecer, F. (2016). ARAS Yöntemi Kullanılarak Kurumsal Kaynak Planlaması Yazılımı Seçimi. Uluslararası Alanya İşletme Fakültesi Dergisi, 8(1), 89-98.
  • El-Mashaleh, M. S., Hyari, K. H., Bdour, A. N., & Rababeh, S. M. (2016). A Multi-Attribute Decision-Making Model for Construction Enterprise Resource Planning System Selection. International Journal of Construction Education and Research, 12(1), 66-79.
  • Ghosh, I., & Biswas, S. (2016). A comparative analysis of multi-criteria decision models for ERP package selection for improving supply chain performance. Asia-Pacific Journal of Management Research and Innovation, 12(3-4), 250-270.
  • Gigović, L., Pamučar, D., Božanić, D., & Ljubojević, S. (2017). Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia. Renewable Energy, 103, 501-521.
  • Görener, A. (2011). ERP Software Selection using a Combined ANP and VIKOR Approach. Journal of Aeronautics and Space Technologies, 5(1), 97-110.
  • Gürbüz, T., Alptekin, S. E., & Alptekin, G. I. (2012). A Hybrid MCDM Methodology for ERP Selection Problem with Interacting Criteria. Decision Support Systems, 54(1), 206-214.
  • Hanine, M., Boutkhoum, O., Tikniouine, A., & Agouti, T. (2016). Application of an integrated multi-criteria decision making AHP-TOPSIS methodology for ETL software selection. Springer Plus, 5(1), 263.
  • Karande, P., & Chakraborty, S. (2013). Using MACBETH method for supplier selection in manufacturing environment. International Journal of Industrial Engineering Computations, 4(2), 259-279.
  • Karsak, E. E., & Özogul, C. O. (2009). An Integrated Decision Making Approach for ERP System Selection. Expert Systems with Applications, 36(1), 660-667.
  • Keçek, G., & Yıldırım, A. G. E. (2010). Kurumsal Kaynak Planlama (ERP) Sisteminin Analitik Hiyerarşi Süreci (AHP) İle Seçimi: Otomotiv Sektöründe Bir Uygulama. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 15(1), 193-211.
  • Khan, H., & Faisal, M. N. (2015). A Grey-based Approach for ERP Vendor Selection in Small and Medium Enterprises in Qatar. International Journal of Business Information Systems, 19(4), 465-487.
  • Kılıç, H. S., Zaim, S., & Delen, D. (2014). Development of a Hybrid Methodology for ERP System Selection: The Case of Turkish Airlines. Decision Support Systems, 66, 82-92.
  • Kılıç, H. S., Zaim, S., & Delen, D. (2015). Selecting “The Best” ERP system for SMEs using a Combination of ANP and PROMETHEE methods. Expert Systems with Applications, 42(5), 2343-2352.
  • Koçak, A. (2003). Yazılım Seçiminde Analitik Hiyerarşi Yöntemi Yaklaşımı ve Bir Uygulama. Ege Akademik Bakış, 3(1), 67-77.
  • Kumar, V., Maheshwari, B., & Kumar, U. (2003). An Investigation of Critical Management Issues in ERP Implementation: Empirical Evidence from Canadian Organizations. Technovation, 23(10), 793-807.
  • Kundakçı, N. (2016). Macbeth ve Multi-MOORA Yöntemlerine Dayalı Birleşik Çok Kriterli Karar Verme Yaklaşımı. Alphanumeric Journal, 4(1), 17-26.
  • Mexas, M. P., Quelhas, O. L. G., & Costa, H. G. (2012). Prioritization of Enterprise Resource Planning Systems Criteria: Focusing on Construction Industry. International Journal of Production Economics, 139(1), 340-350.
  • Milosavljević, M., Bursać, M. & Tričković, G. (2018). Selection of the railroad container terminal in Serbia based on multi criteria decision-making methods. Decision Making: Applications in Management and Engineering, 1(2), 1-15.
  • Onut, S., & Efendigil, T. (2010). A Theorical Model Design for ERP Software Selection Process under the Constraints of Cost and Quality: A Fuzzy Approach. Journal of Intelligent & Fuzzy Systems, 21(6), 365-378.
  • Özen, Y. D. Ö., & Koçak, A. (2017). Bulanık Analitik Hiyerarşi ve Bulanık Dematel Yöntemleri Kullanılarak Kurumsal Kaynak Planlaması Yazılım Seçimi ve Değerlendirilmesi. Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 24(3), 929-957.
  • Öztayşi, B. (2014). A decision Model for Information Technology Selection using AHP Integrated TOPSIS-Grey: The Case of Content Management Systems. Knowledge-Based Systems, 70, 44-54.
  • Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016-3028.
  • Pamučar, D., Petrović, I., & Ćirović, G. (2018). Modification of the Best–Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers. Expert Systems with Applications, 91, 89-106.
  • Perçin, S. (2008a), Using the ANP Approach in Selecting and Benchmarking ERP Systems, Benchmarking: An International Journal, 15(5), 630-649.
  • Perçin, S. (2008b), Use of Fuzzy AHP for Evaluating the Benefits of Information Sharing Decisions in a Supply Chain, Journal of Enterprise Information Management, 21(3), 263-284.
  • Perçin, S., & Gök, A. C. (2013). ERP Yazılımı Seçiminde İki Aşamalı AAS-TOPSIS Yaklaşımı. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 8(1), 93-114.
  • Perera, H. S. C., & Costa, W. K. R. (2008). Analytic Hierarchy Process for Selection of ERP Software for Manufacturing Companies. Vision, 12(4), 1-11.
  • Ranjan, S., Jha, V. K., ve Pal, P. (2016). A Strategic and Sustainable Multi-Criteria Decision Making Framework for ERP Selection in OEM. International Journal of Applied Engineering Research, 11(3), 1916-1926.
  • Roszkowska, E. (2014). The MACBETH approach for evaluation offers in ill–structure negotiations problems, Optimum, 5(71), 69-89.
  • Shen, Y. C., Chen, P. S., & Wang, C. H. (2016). A Study of Enterprise Resource Planning (ERP) System Performance Measurement using the Quantitative Balanced Scorecard Approach. Computers in Industry, 75, 127-139.
  • Shuai, J., & Kao, C. Y. (2008). Building An Effective ERP Selection System for the Technology Industry. Industrial Engineering and Engineering Management (pp. 989-993). IEEE.
  • Silva, J., Goncalves, J. J., Fernandes, J. A., & Cunha, M. M. (2013). Criteria for ERP Selection Using an AHP Approach. Information Systems and Technologies (pp. 1-6). IEEE.
  • Taşkın Gümüş, A., Çetin, A. & Kaplan, E. (2010), “Kurumsal Bilgi Sistemi Seçiminde Bulanık Analitik Ağ Süreci Tabanlı Bir Yaklaşım”, Mühendislik ve Fen Bilimleri Dergisi, Sigma, 28, 74-85.
  • Teltumbde, A. (2000). A Framework for Evaluating ERP Projects. International Journal of Production Research, 38(17), 4507-4520.Ünal, C., & Güner, M. G. (2009). Selection of ERP Suppliers Using AHP Tools in the Clothing Industry. International Journal of Clothing Science and Technology, 21(4), 239-251.
  • Vahidi, J., Salookolayi, D. D., & Yavari, A. (2014). A Model for Selecting an ERP System with Triangular Fuzzy Numbers and Mamdani Inference. Journal of Mathematics and Computer Science, 9, 46-54.
  • Vatansever, K., & Uluköy, M. (2013). Kurumsal Kaynak Planlaması Sistemlerinin Bulanık AHP ve Bulanık MOORA Yöntemleriyle Seçimi: Üretim Sektöründe Bir Uygulama. CBÜ Sosyal Bilimler Dergisi, 11(2), 274-273.
  • Wei, C. C., & Wang, M. J. J. (2004). A Comprehensive Framework for Selecting an ERP System. International Journal of Project Management, 22(2), 161-169.
  • Wei, C. C., Chien, C. F., & Wang, M. J. J. (2005). An AHP-Based Approach to ERP System Selection. International Journal of Production Economics, 96(1), 47-62.
  • Yıldız, A., & Yıldız, D. (2014). Bulanık TOPSIS Yöntemiyle Kurumsal Kaynak Planlaması Yazılım Seçimi. Business & Economics Research Journal, 5(1), 87-106
  • Zeng, Y. R., Wang, L., & Xu, X. H. (2017). An Integrated Model to Select an ERP System for Chinese Small-and Medium-Sized Enterprise under Uncertainty. Technological and Economic Development of Economy, 23(1), 38-58.

KURUMSAL KAYNAK PLANLAMA (KKP) SİSTEMLERİNİN SEÇİMİNDE MACBETH VE MABAC YÖNTEMLERİNİN BÜTÜNLEŞİK OLARAK KULLANILMASI

Yıl 2019, Cilt: 33 Sayı: 2, 533 - 552, 29.03.2019

Öz

Kurumsal kaynak planlama (KKP) sistemleri, işletmelerin farklı
birimleri arasındaki koordinasyonu sağlayarak, daha hızlı ve kolay karar
alınmasını sağlayan sistemlerdir. Dolayısıyla, işletmeler için doğru KKP sisteminin seçim kararı oldukça
önemli bir konudur. Bu sistemlerin seçiminde dikkate alınması gereken çok
sayıda kriter bulunduğundan, seçim sürecinde çok kriterli karar verme (ÇKKV) yöntemlerinden yararlanmak mümkün
olacaktır. Bu çalışmada Bu çalışmada ÇKKV
yöntemlerinden MACBETH ve MABAC yöntemleri bütünleşik olarak
kullanılarak, en iyi KKP sisteminin
seçilmesi amaçlanmıştır. Subjektif bir yöntem olan MACBETH ile kriterin önem ağırlıkları hesaplanmış, MABAC yöntemiyle ise sistem
alternatifleri değerlendirilmiştir. Uygulama sonuçlarına göre en önemli
kriterler fonksiyonellik, kullanım kolaylığı ve marka imajı olarak
belirlenirken; en iyi sistem alternatifi ise SAP olarak tespit edilmiştir.

Kaynakça

  • Ahn, B. S., & Choi, S. H. (2008). ERP System Selection using a Simulation-Based AHP Approach: A Case of Korean Home shopping Company. Journal of the Operational Research Society, 59(3), 322-330.
  • Alanbay, O. (2005). ERP Selection Using Expert Choice Software. Honolulu, Hawaii, July, 8-10.
  • Asl, M. B., Khalilzadeh, A., Youshanlouei, H. R., & Mood, M. M. (2012). Identifying and Ranking the Effective Factors on Selecting Enterprise Resource Planning (ERP) System Using the Combined Delphi and Shannon Entropy Approach. Procedia-Social and Behavioral Sciences, 41, 513-520.
  • Baki, B., & Çakar, K. (2005). Determining the ERP Package-Selecting Criteria: The Case of Turkish Manufacturing Companies. Business Process Management Journal, 11(1), 75-86.
  • Bana e Costa C.A., Chagas M. P. (2004). A Career Choice Problem: An Example of How to Use MACBETH to Build a Quantitative Value Model Based on Qualitative Value Judgments, European Journal of Operational Research, 153, 323–331.
  • Başar, R., & Arslan, H. M. (2017). Kurumsal Kaynak Planlaması (ERP) Yazılımının En Uygun Uzlaşık Çözüm (VIKOR) İle Seçimi. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 22(4), 1065-1080.
  • Bernroider, E. W., & Stix, V. (2003). The Evaluation of ERP Systems using Data Envelopment Analysis. In Proceedings of IRMA (Vol. 2003, pp. 283-286).
  • Bueno, S., & Salmeron, J. L. (2008). Fuzzy Modeling Enterprise Resource Planning Tool Selection. Computer Standards & Interfaces, 30(3), 137-147.
  • Carnero, M. C., & Gómez, A. (2016). A multicriteria decision making approach applied to improving maintenance policies in healthcare organizations. BMC Medical Informatics and Decision Making, 16(1), 47.
  • Cuadrado, M. R., & Fernández, M. G. (2013). Methodology to select the best business game in higher education. American Journal of Industrial and Business Management, 3(7), 589.
  • Demirtaş, N., Alp, Ö. N., Tuzkaya, U. R., & Baraçlı, H. (2011). Fuzzy AHP–TOPSIS Two Stages Methodology for ERP Software Selection: An Application in Passenger Transport Sector. In 15th International Research/Expert Conference ‘Trends in the Development of Machinery and Associated Technology, 277-280.
  • Ecer, F. (2016). ARAS Yöntemi Kullanılarak Kurumsal Kaynak Planlaması Yazılımı Seçimi. Uluslararası Alanya İşletme Fakültesi Dergisi, 8(1), 89-98.
  • El-Mashaleh, M. S., Hyari, K. H., Bdour, A. N., & Rababeh, S. M. (2016). A Multi-Attribute Decision-Making Model for Construction Enterprise Resource Planning System Selection. International Journal of Construction Education and Research, 12(1), 66-79.
  • Ghosh, I., & Biswas, S. (2016). A comparative analysis of multi-criteria decision models for ERP package selection for improving supply chain performance. Asia-Pacific Journal of Management Research and Innovation, 12(3-4), 250-270.
  • Gigović, L., Pamučar, D., Božanić, D., & Ljubojević, S. (2017). Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia. Renewable Energy, 103, 501-521.
  • Görener, A. (2011). ERP Software Selection using a Combined ANP and VIKOR Approach. Journal of Aeronautics and Space Technologies, 5(1), 97-110.
  • Gürbüz, T., Alptekin, S. E., & Alptekin, G. I. (2012). A Hybrid MCDM Methodology for ERP Selection Problem with Interacting Criteria. Decision Support Systems, 54(1), 206-214.
  • Hanine, M., Boutkhoum, O., Tikniouine, A., & Agouti, T. (2016). Application of an integrated multi-criteria decision making AHP-TOPSIS methodology for ETL software selection. Springer Plus, 5(1), 263.
  • Karande, P., & Chakraborty, S. (2013). Using MACBETH method for supplier selection in manufacturing environment. International Journal of Industrial Engineering Computations, 4(2), 259-279.
  • Karsak, E. E., & Özogul, C. O. (2009). An Integrated Decision Making Approach for ERP System Selection. Expert Systems with Applications, 36(1), 660-667.
  • Keçek, G., & Yıldırım, A. G. E. (2010). Kurumsal Kaynak Planlama (ERP) Sisteminin Analitik Hiyerarşi Süreci (AHP) İle Seçimi: Otomotiv Sektöründe Bir Uygulama. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 15(1), 193-211.
  • Khan, H., & Faisal, M. N. (2015). A Grey-based Approach for ERP Vendor Selection in Small and Medium Enterprises in Qatar. International Journal of Business Information Systems, 19(4), 465-487.
  • Kılıç, H. S., Zaim, S., & Delen, D. (2014). Development of a Hybrid Methodology for ERP System Selection: The Case of Turkish Airlines. Decision Support Systems, 66, 82-92.
  • Kılıç, H. S., Zaim, S., & Delen, D. (2015). Selecting “The Best” ERP system for SMEs using a Combination of ANP and PROMETHEE methods. Expert Systems with Applications, 42(5), 2343-2352.
  • Koçak, A. (2003). Yazılım Seçiminde Analitik Hiyerarşi Yöntemi Yaklaşımı ve Bir Uygulama. Ege Akademik Bakış, 3(1), 67-77.
  • Kumar, V., Maheshwari, B., & Kumar, U. (2003). An Investigation of Critical Management Issues in ERP Implementation: Empirical Evidence from Canadian Organizations. Technovation, 23(10), 793-807.
  • Kundakçı, N. (2016). Macbeth ve Multi-MOORA Yöntemlerine Dayalı Birleşik Çok Kriterli Karar Verme Yaklaşımı. Alphanumeric Journal, 4(1), 17-26.
  • Mexas, M. P., Quelhas, O. L. G., & Costa, H. G. (2012). Prioritization of Enterprise Resource Planning Systems Criteria: Focusing on Construction Industry. International Journal of Production Economics, 139(1), 340-350.
  • Milosavljević, M., Bursać, M. & Tričković, G. (2018). Selection of the railroad container terminal in Serbia based on multi criteria decision-making methods. Decision Making: Applications in Management and Engineering, 1(2), 1-15.
  • Onut, S., & Efendigil, T. (2010). A Theorical Model Design for ERP Software Selection Process under the Constraints of Cost and Quality: A Fuzzy Approach. Journal of Intelligent & Fuzzy Systems, 21(6), 365-378.
  • Özen, Y. D. Ö., & Koçak, A. (2017). Bulanık Analitik Hiyerarşi ve Bulanık Dematel Yöntemleri Kullanılarak Kurumsal Kaynak Planlaması Yazılım Seçimi ve Değerlendirilmesi. Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 24(3), 929-957.
  • Öztayşi, B. (2014). A decision Model for Information Technology Selection using AHP Integrated TOPSIS-Grey: The Case of Content Management Systems. Knowledge-Based Systems, 70, 44-54.
  • Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016-3028.
  • Pamučar, D., Petrović, I., & Ćirović, G. (2018). Modification of the Best–Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers. Expert Systems with Applications, 91, 89-106.
  • Perçin, S. (2008a), Using the ANP Approach in Selecting and Benchmarking ERP Systems, Benchmarking: An International Journal, 15(5), 630-649.
  • Perçin, S. (2008b), Use of Fuzzy AHP for Evaluating the Benefits of Information Sharing Decisions in a Supply Chain, Journal of Enterprise Information Management, 21(3), 263-284.
  • Perçin, S., & Gök, A. C. (2013). ERP Yazılımı Seçiminde İki Aşamalı AAS-TOPSIS Yaklaşımı. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 8(1), 93-114.
  • Perera, H. S. C., & Costa, W. K. R. (2008). Analytic Hierarchy Process for Selection of ERP Software for Manufacturing Companies. Vision, 12(4), 1-11.
  • Ranjan, S., Jha, V. K., ve Pal, P. (2016). A Strategic and Sustainable Multi-Criteria Decision Making Framework for ERP Selection in OEM. International Journal of Applied Engineering Research, 11(3), 1916-1926.
  • Roszkowska, E. (2014). The MACBETH approach for evaluation offers in ill–structure negotiations problems, Optimum, 5(71), 69-89.
  • Shen, Y. C., Chen, P. S., & Wang, C. H. (2016). A Study of Enterprise Resource Planning (ERP) System Performance Measurement using the Quantitative Balanced Scorecard Approach. Computers in Industry, 75, 127-139.
  • Shuai, J., & Kao, C. Y. (2008). Building An Effective ERP Selection System for the Technology Industry. Industrial Engineering and Engineering Management (pp. 989-993). IEEE.
  • Silva, J., Goncalves, J. J., Fernandes, J. A., & Cunha, M. M. (2013). Criteria for ERP Selection Using an AHP Approach. Information Systems and Technologies (pp. 1-6). IEEE.
  • Taşkın Gümüş, A., Çetin, A. & Kaplan, E. (2010), “Kurumsal Bilgi Sistemi Seçiminde Bulanık Analitik Ağ Süreci Tabanlı Bir Yaklaşım”, Mühendislik ve Fen Bilimleri Dergisi, Sigma, 28, 74-85.
  • Teltumbde, A. (2000). A Framework for Evaluating ERP Projects. International Journal of Production Research, 38(17), 4507-4520.Ünal, C., & Güner, M. G. (2009). Selection of ERP Suppliers Using AHP Tools in the Clothing Industry. International Journal of Clothing Science and Technology, 21(4), 239-251.
  • Vahidi, J., Salookolayi, D. D., & Yavari, A. (2014). A Model for Selecting an ERP System with Triangular Fuzzy Numbers and Mamdani Inference. Journal of Mathematics and Computer Science, 9, 46-54.
  • Vatansever, K., & Uluköy, M. (2013). Kurumsal Kaynak Planlaması Sistemlerinin Bulanık AHP ve Bulanık MOORA Yöntemleriyle Seçimi: Üretim Sektöründe Bir Uygulama. CBÜ Sosyal Bilimler Dergisi, 11(2), 274-273.
  • Wei, C. C., & Wang, M. J. J. (2004). A Comprehensive Framework for Selecting an ERP System. International Journal of Project Management, 22(2), 161-169.
  • Wei, C. C., Chien, C. F., & Wang, M. J. J. (2005). An AHP-Based Approach to ERP System Selection. International Journal of Production Economics, 96(1), 47-62.
  • Yıldız, A., & Yıldız, D. (2014). Bulanık TOPSIS Yöntemiyle Kurumsal Kaynak Planlaması Yazılım Seçimi. Business & Economics Research Journal, 5(1), 87-106
  • Zeng, Y. R., Wang, L., & Xu, X. H. (2017). An Integrated Model to Select an ERP System for Chinese Small-and Medium-Sized Enterprise under Uncertainty. Technological and Economic Development of Economy, 23(1), 38-58.
Toplam 51 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Ejder Ayçin 0000-0002-0153-8430

Yayımlanma Tarihi 29 Mart 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 33 Sayı: 2

Kaynak Göster

APA Ayçin, E. (2019). KURUMSAL KAYNAK PLANLAMA (KKP) SİSTEMLERİNİN SEÇİMİNDE MACBETH VE MABAC YÖNTEMLERİNİN BÜTÜNLEŞİK OLARAK KULLANILMASI. Atatürk Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 33(2), 533-552.

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