ÖRGÜTSEL PERFORMANS ÖLÇÜTLERI BAZINDA BAYILERE ÖNCELIK VERILMESI İÇIN BÜTÜNLEŞIK BİR YAKLAŞIM

Farklı coğrafi bölgelerde hizmet vermek için bayilik sistemini kullanan büyük ölçekli kuruluşlar, tüm bayilerinde aynı hizmet kalitesini ve verimliliğini sağlamak için bayilerin performansını çeşitli göstergelere göre ölçmeli ve değerlendirmelidir. Bu kuruluşların, kurumsal performans kriterleri adı verilen bu göstergeleri dikkate alarak bayilerin performansını değerlendirmeleri gerekir. İşletmelerin rekabetçi bir iş ortamında varlığını sürdürebilmek için bayilerin örgütsel performans kriterlerine göre sıralanması ve verimsiz olanların belirlenmesi çok önemlidir. Bu çalışmada, bahsedilen sorunu çözmek için iki aşamalı bir bütünleşik yaklaşım kullanılmıştır. Çalışmanın ilk aşamasında örgütsel performans kriterlerinin ağırlığını belirlemek için Bulanık Analitik Hiyerarşi Süreci (FAHP) yöntemi kullanılmıştır. Bir sonraki aşamada ise bayiiler alternatif olarak değerlendirilmişir. Bayiler, alternatifler arasındaki ikili üstünlük karşılaştırmasına dayanan PROMETHEE yöntemi kullanılarak performans kriterlerine göre sıralanmıştır. Örgütsel yapılarda ele alınan seçim kriterlerinin bazılarının dilsel ifadesi daha doğru bir sonuç doğurabilmektedir. Bu nedenle, bu çalışmada ölçütlerin ağırlıklandırılmasında bulanık mantık kullanılması uygun olarak kabul edilmektedir. PROMETHEE yönteminin görselleştirme araçları sayesinde sonuçlar daha anlaşılır hale geldiği için alternatiflerin sıralanmasında ise PROMETHEE yöntemi kullanılmıştır.

AN INTEGRATED APPROACH FOR PRIORITIZING THE DEALERS ON THE BASIS OF ORGANIZATIONAL PERFORMANCE MEASUREMENTS

Large-scale organizations using the dealership system to serve in different geographic regions should measure and assess the performance of dealers according to various indicators to ensure the same service quality and efficiency of all dealers. These organizations need to evaluate the performance of the dealers by considering these indicators, called organizational performance criteria. In order to maintain the existence of the enterprises in a competitive business environment, the ranking of the dealers in terms of the organizational performance measurements and determining the unproductive ones to carry out research for these cases is very important. In this study, a two-stage integrated framework was used to solve the problem. In the first stage of the study, the Fuzzy Analytic Hierarchy Process (FAHP) method was used to determine the weight of organizational performance criteria. In the next stage, the decision matrix was constructed by taking the dealers as an alternative. Using the PROMETHEE method, that is based upon the pairwise superiority comparison between the alternatives, dealers were ranked according to the performance criteria. There is no accuracy in the organizational structures within the framework of the choice criteria and the linguistic expression of some of the choice criteria handled at the same time induce a more precise conclusion. Thus, within this study, to employ fuzzy logic in weighting the criteria is considered appropriate. The results were made more comprehensible thanks to visualization tools of PROMETHEE method.

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  • Akdeniz, M.B., Gonzalez-Padron, T., & Calantone, R.J. (2010). An integrated marketing capability benchmarking approach to dealer performance through parametric and nonparametric analyses, Industrial Marketing Management, 39(1),150-160 .
  • Arrunada, B., Vazquez, L., & Zanarone, G. (2009). Institutional constraints on organizations: the case of spanish car dealerships, Managerial And Decision Economics, 30: 15-26.
  • Brans, J. P. (1982), “L’ingénièrie de la décision; Elaboration d’instruments d’aide à la décision. La méthode PROMETHEE”. L’aide à la décision: Nature, Instruments et Perspectives d’Avenir, 183–213.
  • Brans, J. P., and Vincke, P. H. (1985). A preference ranking organization method. Management Science, 31, 647–656.
  • Boyce, A.S., Nieminen, L.R.V., Gillespie, M.A., Ryan, A.M., & Denison, D.R. (2015). Which comes first, organizational culture or performance? A longitudinal study of causal priority with automobile dealerships, Journal of Organizational Behavior, 36, 339–359.
  • Biondi, S., Calabrese, A., Capece, G., Costa, R., & Di Pillo, F. (2013). A new approach for assessing dealership performance: an application for the automotive industry, https://doi.org/10.5772/56662.
  • Chen, M., Yan, W., & Mi, W. A performance evaluation strategy towards dealers in the automotive supply chain (Book Chapter), Advances in Maritime Logistics and Supply Chain Systems pp. 157-170. (2011)
  • Dağdeviren, M. (2008). Decision making in equipment selection: An integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19, 397-406.
  • Dağdeviren, M., S. Yavuz, & N. Kılınç. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36, 8143-8151.
  • Dağdeviren, M. (2007). Bulanık analitik hiyerarşi prosesi ile personel seçimi ve bir uygulama. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 22(4) .
  • Dagdeviren, M., & Eraslan, E. (2008), PROMETHEE sıralama yöntemi ile tedarikçi seçimi, Gazi Üniversitesi Mühendislik – Mimarlık Fakültesi Dergisi, 23(1),69-76.
  • Deveci, M., Canıtez, F., & Gökaşar, I (2018). WASPAS and TOPSIS based interval type-2 fuzzy MCDM method for a selection of a car sharing station, Sustainable Cities and Society, 41, 777-791.
  • Efil, İ.: İşletmelerde Yönetim ve Organizasyon, Dora Yayınları, Bursa, Turkey (2013).
  • Fraser, K., Tseng, B., & Hvolby, H. (2012) TQM in new car dealerships: a study from the firms’ perspective, The TQM Journal, 25(1), 5-17.
  • Farley, J.U., Hayes, A.F., & Kopalle, P.K. (2004). Choosing and upgrading financial services dealers in the US and UK, International Journal of Research in Marketing, 21(4), 359-375.
  • Gonzalez-Padron, T., Akdeniz, M.B., & Calantone, R.J. (2014). Benchmarking sales staffing efficiency in dealerships using extended data envelopment analysis, Journal of Business Research,67(9), 1904-1911.
  • Genç, T. (2013). PROMETHEE Method and GAIA Plane, Afyon Kocatepe Üniversitesi, İİBF Dergisi, 121-142
  • Gül, M. (2018). A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions, Human and Ecological Risk Assessment, 24(7), 1723-1760.
  • İşletmeciler, Mühendisler ve Yöneticiler için Operasyonel Yönetsel ve Stratejik Problemlerin Çözümünde Çok Kriterli Karar Verme, Edited by: Bahadır Fatih Yıldırım, Emrah Önder, Dora Yayıncılık, Bursa, Turkey (2015).
  • Rajagopal, R. (2009). Effects of customer services efficiency and market effectiveness on dealer performance, International Journal of Services and Operations Management, 5(5), 575-594.
  • Saaty, T. L. (1970). How to Make a Decision: The Analytic Hierarchy Process. European Journal of Operational Research, 48, 9-26.
  • Suganthi, L. (2018), Multi expert and multi criteria evaluation of sectoral investments for sustainable development: An integrated fuzzy AHP, VIKOR / DEA methodology, Sustainable Cities and Society 43, 144-156.
  • Small, A., Hicks, C., McGovern, T., Scurry, T., &Whipp, M. (2015). A balanced scorecard for evaluating the performance of motor dealerships, In: 23rd International Conference on Production Research. Manila, Philippines.
  • Soares, B. N., Abaide, A. R., & Bernardon, D. (2014). Methodology for prioritizing investments in distribution networks electricity focusing on operational efficiency and regulatory aspects, IEEE.
  • Tosarkani, B.M., & Amin, S.H. (2018), A multi-objective model to configure an electronic reverse logistics network and third party selection, Journal of Cleaner Production, 198, 662-682.
  • Wang, T.C., & Tsai, S.Y. (2018). Solar panel supplier selection for the photovoltaic system design by using fuzzy multi-criteria decision making (MCDM) approaches, Energies, 11(8)
  • Teniwut, W.A., Marimin, M., & Djatna, T. (2019), Gis-based multi-criteria decision making model for site selection of seaweed farming information centre: A lesson from small Islands, Indonesia, Decision Science Letters, 8(2),137-150.
  • Zadeh, L.A.: Fuzzy sets, Information and Control,8(3), 338-353 (1965).