Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Young Hyo Ahn"'
Publikováno v:
Statistics, Optimization & Information Computing. 10:643-657
Data envelopment analysis (DEA) is a non-parametric technique for measuring and analyzing the relative efficiency of the Decision-Making Unit (DMU) having multiple homogeneous types of inputs and outputs. Traditional DEA treats DMU as black boxes and
Autor:
Jin-Hee Ma, Young-Hyo Ahn
Publikováno v:
Korean Logistics Research Association. 32:43-52
Autor:
Jin-Hee Ma, Young-Hyo Ahn
Publikováno v:
Korean Logistics Research Association. 31:45-56
Publikováno v:
Korean Logistics Research Association. 31:49-614
Autor:
Hyungsuk Choo1 hchoo@bgsu.edu, Young-Hyo Ahn2 yhahn@incheon.ac.kr, Duk-Byeong Park3 parkdb84@kongju.ac.kr
Publikováno v:
Journal of Rural & Community Development. 2018, Vol. 13 Issue 2, p1-15. 15p.
Autor:
Jin-Hee Ma, Young-Hyo Ahn
Publikováno v:
Journal of Korea Trade. 25:21-47
Purpose - Offshoring has emerged as one of the major trends in international trade and has become one of the strategies for achieving competitiveness in the global market. In spite of this, the expected gains of offshoring can be offset by hidden cos
Publikováno v:
Statistics, Optimization & Information Computing. 9:223-240
The purpose of this study is to introduce a novel methodology to measure the central bank efficiency. The data envelopment analysis (DEA) applies in the combination of three input and two output variables characterizing the economic balance in intern
Autor:
Dong-Wook Choi, Young-Hyo Ahn
Publikováno v:
Korean Logistics Research Association. 30:69-89
Publikováno v:
Journal of Korea Trade. 24:131-145
Purpose – The recent growth of South Korean products in the international market is the benchmark for both developed as well as developing countries. According to the development index, the role of international trade is indeed crucial for the deve
Publikováno v:
Statistics, Optimization & Information Computing; Mar2022, Vol. 10 Issue 2, p643-657, 15p