Performance Measurement of the Logistics Companies on the Fortune 500 by Swara and Merec-Based Cradis Methods

被引:0
|
作者
Ozekenci, Emre Kadir [1 ]
机构
[1] Cag Univ, Dept Int Business Management, Mersin, Turkiye
关键词
Logistics; Fortune; 500; Turkey; SWARA; MEREC; CRADIS; SENSITIVITY-ANALYSIS; RELATIVE IMPORTANCE; COUNTRIES; INDEX; UNCERTAINTY; SYSTEM; MCDM;
D O I
10.2478/sbe-2024-0051
中图分类号
F [经济];
学科分类号
02 ;
摘要
The aim of this study is to evaluate the performance of logistics companies on the Fortune 500 Turkey list using the SWARA-MEREC based CRADIS methods. The weight of criteria was determined by subjective and objective approaches, namely SWARA and MEREC, respectively. The performance of companies was ranked by the CRADIS method. The findings highlighted that net sales (NS) and export (EXP) were most and least important criteria, respectively. The result of the CRADIS method showed that Netlog, Borusan and Ekol had the highest performance, while Noatum, BDP International and Horoz had the lowest performance in 2022, respectively. The reliability and robustness of the proposed model was tested with sensitivity and comparative analyses. The results of the sensitivity analysis and comparative analysis showed that the proposed model provides consistent results.
引用
收藏
页码:191 / 212
页数:22
相关论文
共 50 条
  • [21] Performance - Based logistics and contractor support methods
    Beanum, Roland L.
    2006 IEEE AUTOTESTCON, VOLS 1 AND 2, 2006, : 332 - 336
  • [22] Does corporate social responsibility influence performance persistence? A signal extraction approach with evidence from Fortune 500 companies
    Hsu, Bo -Xiang
    Chen, Yi-Min
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2024, 200
  • [23] Applying an integrated data-driven weighting system - CoCoSo approach for financial performance evaluation of Fortune 500 companies
    Ersoy, Nazli
    E & M EKONOMIE A MANAGEMENT, 2023, 26 (03): : 92 - 108
  • [25] Performance Evaluation of Logistics listed Companies Based on Grey Ideal Correlation Entropy
    Deng, Fumin
    Liu, Canmian
    Liang, Xuedong
    Xu, Jing
    2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2017, : 1646 - 1650
  • [26] How do Companies use Knowledge Management to Strengthen their Market Position? (Based on Analysis of Fortune 500 Global Corporations)
    Khazieva, Natalia
    Caganova, Dagmar
    Vanova, Jaromira
    PROCEEDINGS OF THE 22ND EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (ECKM 2021), 2021, : 949 - 956
  • [27] MODEL-BASED PERFORMANCE-MEASUREMENT OF MANUFACTURING LOGISTICS
    WIENDAHL, HP
    ULLMANN, W
    TOWARDS WORLD CLASS MANUFACTURING 1993, 1994, 17 : 397 - 408
  • [28] A Study of China's Logistics Listed Companies' Business Performance Based on Structure Equation
    Ma, Chenying
    Shen, Changgeng
    2013 INTERNATIONAL CONFERENCE ON MANAGEMENT AND INFORMATION TECHNOLOGY, 2013, : 248 - 254
  • [29] PERFORMANCE MEASUREMENT FRAMEWORK FOR MULTI-ROLE AIRCRAFT UNDER PERFORMANCE BASED LOGISTICS
    Lee, Chang Ha
    Min, Gwang Ki
    Kiritharan, Mayooran
    Hong, Yoo S.
    DESIGN FOR HARMONIES, VOL 4: PRODUCT, SERVICE AND SYSTEMS DESIGN, 2013,
  • [30] A study of financial performance measurement of logistic companies based on strategic decision
    Zhang, Chuan
    Gao, Xinzi
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT LOGISTICS SYSTEMS, 2008, : 306 - 317