Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2019, , 41 - 73, 30.06.2019
https://doi.org/10.35342/econder.549834

Öz

Kaynakça

  • Akal, Z. (2000). Isletmelerde Performans Olcum ve Denetimi, Cok Yonlu Performans Gostergeleri. Milli Produktivite Merkezi Yayınları, Ankara.
  • Aydiner, A. S., Tatoglu, E., Bayraktar, E., Zaim, S., & Delen, D. (2019). Business Analytics and Firm Performance: The Mediating Role of Business Process Performance. Journal of Business Research, 96, 228–237. https://doi.org/10.1016/j.jbusres.2018.11.028
  • Bayyurt, N. (2007). Isletmelerde Performans Degerlendirme Onemi ve Performans Gostergeleri Arasindaki Iliskiler. Sosyal Siyaset Konferanslari Dergisi, 0(53), 577 - 592.
  • Beer, M. (1981). Performance Appraisal: Dilemmas and Possibilities. Organizational Dynamics, 9(3), 24–36. https://doi.org/10.1016/0090-2616(81)90036-X
  • Cakmak, N. (2008). Performans Degerlendirmesi Gerekli Midir? Neden?. Bilimsel İletisim ve Bilgi Yonetimi Sempozyumu (s. 212-230). Ankara: Universite ve ArastırmaKutuphanecileri Dernegi.
  • DeNisi, A. S., Cafferty, T. P., & Meglino, B. M. (1984). A cognitive view of the performance appraisal process: A model and research propositions. Organizational Behavior and Human Performance, 33(3), 360–396. https://doi.org/10.1016/0030-5073(84)90029-1
  • Franco-Santos, M., Kennerly, M., Micheli, P., Martinez, V., Mason, S., Marr, B., … Neely, A. (2007). Towards a Definition of a Business Performance Measurement System. International Journal of Operations & Production Management, 27(8), 784–801. https://doi.org/10.1108/01443570710763778
  • Garg, H. (2016). A Novel Accuracy Function Under Interval-Valued Pythagorean Fuzzy Environment for Solving Multicriteria Decision Making Problem. International Journal of Intelligent Systems, 31(1), 529-540.
  • Karaman, R. (2009). Isletmelerde Performans Olcumunun Onemi ve Modern Bir Performans Olcme Araci Olarak Balanced Scorecard. Sosyal ve Ekonomik Arastırmalar Dergisi, 411-427.
  • Yuregir, O., & Nakiboglu, G. (2007). Performans Olcumu ve Olcum Sistemleri: Genel Bir Bakis. Sosyal Bilimler Enstitusu Dergisi, 16(2), 545-562.Kubali D. (1999). Performans Denetimi. Amme Idaresi Dergisi, 35(1), 31-62.
  • Kumru, M., & University, D. (2012). Kurumsal Performans Degerlendirmenin Onemi, Gelisimi ve Uygulama Ornekleri, 7.
  • Kuo, Y.-F., & Chen, P.-C. (2008). Constructing Performance Appraisal Indicators for Mobility of The Service Industries Using Fuzzy Delphi Method. Expert Systems with Applications, 35(4), 1930–1939. https://doi.org/10.1016/j.eswa.2007.08.068
  • Naidoo, M., & Gasparatos, A. (2018). Corporate Environmental Sustainability in The Retail Sector: Drivers, Strategies and Performance Measurement. Journal of Cleaner Production, 203, 125–142. https://doi.org/10.1016/j.jclepro.2018.08.253
  • Neely, A., Gregory, M., & Platts, K. (1995). Performance Measurement System Design: A Literature Review and Research Agenda. International Journal of Operations & Production Management, 15(4), 80–116. https://doi.org/10.1108/01443579510083622
  • Okoshi, C. Y., Pinheiro de Lima, E., & Gouvea Da Costa, S. E. (2019). Performance Cause and Effect Studies: Analysing High Performance Manufacturing Companies. International Journal of Production Economics, 210, 27–41. https://doi.org/10.1016/j.ijpe.2019.01.003
  • Onar, S. C., Oztaysi. B., Otay, I & Kahraman, C. (2015). Multi-Expert Wind Energy Technology Selection Using Interval-Valued Intuitionistic Fuzzy Sets. Energy, 90, s. 274-285.
  • Peng, X. & Yang, Y. (2015). Fundamental properties of interval-valued Pythagorean fuzzy aggregation operators, International Journal of Intelligent Systems 31(5), 444-487, Performance Measurement Guide. (1993). Sayistay Yayin İsleri Mdrlg. (H. Demirkaya, Trans.) ABD.
  • Rahman, K., Abdullah, S., Shakeel, M., Khan, M. S. A. & Ullah, M. (2017). Interval-Valued Pythagorean Fuzzy Geometric Aggregation Operators and Their Application to Group Decision Making Problem. Cogent Mathematics, 4, s.1-20.
  • Speklé, R. F., & Verbeeten, F. H. M. (2014). The Use of Performance Measurement Systems in The Public Sector: Effects on Performance. Management Accounting Research, 25(2), 131–146. https://doi.org/10.1016/j.mar.2013.07.004
  • Tepe, S. (2018). Risk Assessment Using A Fuzzy Logic Approach and Neutrosophic Set Approaches: An Application on The Asphalt Production Process, Yıldız Technical University, Istanbul.
  • Tepe, S. & Kaya, I (2019). A Fuzzy Based Risk Assessment Model to Evaluations of Hazards With A Real Case Study. Human and Ecological Risk Assessment. An International Journal, 15(1), 1-27.
  • Tuncer, P. (2013). Orgutlerde Performans Degerlendirme ve Motivasyon. Sayistay Dergisi(88), 87-108.
  • Yenice, E. (2006). Kamu Kesiminde Performans Degerlendirilmesi. Maliye Dergisi(150), 122-132.
  • Yuregir, O., & Nakıboglu , G. (2007). Performans Olcumu ve Olcum Sistemleri: Genel Bir Bakis. Sosyal Bilimler Enstitusu Dergisi, 16(2), 545-562.
  • Zerenler, M., & University, S. (2005). The Performance Measurement System Design and A Study on Performance Measurement of Manufacturing Systems. Ekonomik ve Sosyal Arastirmalar Dergisi, 36.

A New Fuzzy Based Marketing Performance Measurement Model with a Real Case Study

Yıl 2019, , 41 - 73, 30.06.2019
https://doi.org/10.35342/econder.549834

Öz



The level of
efficiency for business and process control is based on performance
measurements. Performance measurement is a mixed system that contains many
different criteria such as customer behaviour, sales, employees and product
range. Businesses need to measure sales performance to maintain sustainable
competition lines and improve their strategies. In this paper, a performance
measurement in the clothing industry has been carried out and a pioneering
company data has been utilized as the application area. In the paper, Interval
Valued Pythagorean Fuzzy Analytical Hierarchy Process (IV-PFAHP) method and
Interval Valued Pythagorean Fuzzy TOPSIS (IV-PFTOPSIS) method have been
suggested to deal with marketing performance assessment process with a real
case study. The paper focuses on IV-PFAHP and IV-PFTOPSIS methods to handle
uncertainty in the marketing performance assessment process for clothing
industry. The results revealed that the proposed approach produces reliable
outcomes representing the vagueness of the decision-making process. 




Kaynakça

  • Akal, Z. (2000). Isletmelerde Performans Olcum ve Denetimi, Cok Yonlu Performans Gostergeleri. Milli Produktivite Merkezi Yayınları, Ankara.
  • Aydiner, A. S., Tatoglu, E., Bayraktar, E., Zaim, S., & Delen, D. (2019). Business Analytics and Firm Performance: The Mediating Role of Business Process Performance. Journal of Business Research, 96, 228–237. https://doi.org/10.1016/j.jbusres.2018.11.028
  • Bayyurt, N. (2007). Isletmelerde Performans Degerlendirme Onemi ve Performans Gostergeleri Arasindaki Iliskiler. Sosyal Siyaset Konferanslari Dergisi, 0(53), 577 - 592.
  • Beer, M. (1981). Performance Appraisal: Dilemmas and Possibilities. Organizational Dynamics, 9(3), 24–36. https://doi.org/10.1016/0090-2616(81)90036-X
  • Cakmak, N. (2008). Performans Degerlendirmesi Gerekli Midir? Neden?. Bilimsel İletisim ve Bilgi Yonetimi Sempozyumu (s. 212-230). Ankara: Universite ve ArastırmaKutuphanecileri Dernegi.
  • DeNisi, A. S., Cafferty, T. P., & Meglino, B. M. (1984). A cognitive view of the performance appraisal process: A model and research propositions. Organizational Behavior and Human Performance, 33(3), 360–396. https://doi.org/10.1016/0030-5073(84)90029-1
  • Franco-Santos, M., Kennerly, M., Micheli, P., Martinez, V., Mason, S., Marr, B., … Neely, A. (2007). Towards a Definition of a Business Performance Measurement System. International Journal of Operations & Production Management, 27(8), 784–801. https://doi.org/10.1108/01443570710763778
  • Garg, H. (2016). A Novel Accuracy Function Under Interval-Valued Pythagorean Fuzzy Environment for Solving Multicriteria Decision Making Problem. International Journal of Intelligent Systems, 31(1), 529-540.
  • Karaman, R. (2009). Isletmelerde Performans Olcumunun Onemi ve Modern Bir Performans Olcme Araci Olarak Balanced Scorecard. Sosyal ve Ekonomik Arastırmalar Dergisi, 411-427.
  • Yuregir, O., & Nakiboglu, G. (2007). Performans Olcumu ve Olcum Sistemleri: Genel Bir Bakis. Sosyal Bilimler Enstitusu Dergisi, 16(2), 545-562.Kubali D. (1999). Performans Denetimi. Amme Idaresi Dergisi, 35(1), 31-62.
  • Kumru, M., & University, D. (2012). Kurumsal Performans Degerlendirmenin Onemi, Gelisimi ve Uygulama Ornekleri, 7.
  • Kuo, Y.-F., & Chen, P.-C. (2008). Constructing Performance Appraisal Indicators for Mobility of The Service Industries Using Fuzzy Delphi Method. Expert Systems with Applications, 35(4), 1930–1939. https://doi.org/10.1016/j.eswa.2007.08.068
  • Naidoo, M., & Gasparatos, A. (2018). Corporate Environmental Sustainability in The Retail Sector: Drivers, Strategies and Performance Measurement. Journal of Cleaner Production, 203, 125–142. https://doi.org/10.1016/j.jclepro.2018.08.253
  • Neely, A., Gregory, M., & Platts, K. (1995). Performance Measurement System Design: A Literature Review and Research Agenda. International Journal of Operations & Production Management, 15(4), 80–116. https://doi.org/10.1108/01443579510083622
  • Okoshi, C. Y., Pinheiro de Lima, E., & Gouvea Da Costa, S. E. (2019). Performance Cause and Effect Studies: Analysing High Performance Manufacturing Companies. International Journal of Production Economics, 210, 27–41. https://doi.org/10.1016/j.ijpe.2019.01.003
  • Onar, S. C., Oztaysi. B., Otay, I & Kahraman, C. (2015). Multi-Expert Wind Energy Technology Selection Using Interval-Valued Intuitionistic Fuzzy Sets. Energy, 90, s. 274-285.
  • Peng, X. & Yang, Y. (2015). Fundamental properties of interval-valued Pythagorean fuzzy aggregation operators, International Journal of Intelligent Systems 31(5), 444-487, Performance Measurement Guide. (1993). Sayistay Yayin İsleri Mdrlg. (H. Demirkaya, Trans.) ABD.
  • Rahman, K., Abdullah, S., Shakeel, M., Khan, M. S. A. & Ullah, M. (2017). Interval-Valued Pythagorean Fuzzy Geometric Aggregation Operators and Their Application to Group Decision Making Problem. Cogent Mathematics, 4, s.1-20.
  • Speklé, R. F., & Verbeeten, F. H. M. (2014). The Use of Performance Measurement Systems in The Public Sector: Effects on Performance. Management Accounting Research, 25(2), 131–146. https://doi.org/10.1016/j.mar.2013.07.004
  • Tepe, S. (2018). Risk Assessment Using A Fuzzy Logic Approach and Neutrosophic Set Approaches: An Application on The Asphalt Production Process, Yıldız Technical University, Istanbul.
  • Tepe, S. & Kaya, I (2019). A Fuzzy Based Risk Assessment Model to Evaluations of Hazards With A Real Case Study. Human and Ecological Risk Assessment. An International Journal, 15(1), 1-27.
  • Tuncer, P. (2013). Orgutlerde Performans Degerlendirme ve Motivasyon. Sayistay Dergisi(88), 87-108.
  • Yenice, E. (2006). Kamu Kesiminde Performans Degerlendirilmesi. Maliye Dergisi(150), 122-132.
  • Yuregir, O., & Nakıboglu , G. (2007). Performans Olcumu ve Olcum Sistemleri: Genel Bir Bakis. Sosyal Bilimler Enstitusu Dergisi, 16(2), 545-562.
  • Zerenler, M., & University, S. (2005). The Performance Measurement System Design and A Study on Performance Measurement of Manufacturing Systems. Ekonomik ve Sosyal Arastirmalar Dergisi, 36.
Toplam 25 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Makaleler
Yazarlar

Rana Coşkun 0000-0002-7150-093X

Zeliha Nur Kiriş Bu kişi benim 0000-0002-8561-185X

Serap Nur Tepe Bu kişi benim 0000-0002-9723-6049

Yayımlanma Tarihi 30 Haziran 2019
Yayımlandığı Sayı Yıl 2019

Kaynak Göster

APA Coşkun, R., Kiriş, Z. N., & Tepe, S. N. (2019). A New Fuzzy Based Marketing Performance Measurement Model with a Real Case Study. Econder Uluslararası Akademik Dergi, 3(1), 41-73. https://doi.org/10.35342/econder.549834

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