Journals / Econder Uluslararası Akademik Dergi / 2019 / Cilt: 3 - Sayı: 1

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

Pages
41–73
Publication Date
2019-06-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results revealed that the proposed approach produces reliable outcomes representing the vagueness of the decision-making process.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The level of efficiency for business and process control is based on performance measurements.
📊
Key Findings & Data:Performance measurement is a mixed system that contains many different criteria such as customer behaviour, sales, employees and product range.
💡
Conclusion & Impact:The results revealed that the proposed approach produces reliable outcomes representing the vagueness of the decision-making process.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Marketing Performance · Pythagorean Fuzzy Sets · AHP

Abstract

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.

🔖

Cite This Article

COŞKUN, R., KİRİŞ, Z. N., TEPE, S. N. (2019). A New Fuzzy Based Marketing Performance Measurement Model with a Real Case Study. Econder Uluslararası Akademik Dergi, Cilt: 3 - Sayı: 1, 41–73. https://ajindex.com/articles/829240

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (11)

  1. Akal, Z. (2000). Isletmelerde Performans Olcum ve Denetimi, Cok Yonlu Performans Gostergeleri. Milli Produktivite Merkezi Yayınları,
  2. Ankara.
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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.
  8. Karaman, R. (2009). Isletmelerde Performans Olcumunun Onemi ve Modern Bir Performans Olcme Araci Olarak Balanced Scorecard. Sosyal ve Ekonomik Arastırmalar Dergisi, 411-427.
  9. 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.
  10. 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
  11. Naidoo, M., & Gasparatos, A. (2018). Corporate Environmental Sustainability in The Retail Sector: D