利用網路資料包絡分析之電子遊戲產業效率研究

Efficiency Evaluation of Video Game Industry by Network Data Envelopment Analysis

10.29893/NCUTMAN.201811.0009

黃源霖(Yuan-Lin Huang)；高韓英(Han-Ying Kao)

網路資料包絡 ； 多目標規劃 ； 遊戲產業 ； 個案研討 ； Network DEA ； Multi-Objective programming ； Game industry ； Case Study

管理學術研討會

第十六屆（2018 / 11 / 01）

46 - 53

繁體中文

隨著軟硬體技術的成熟及網際網路的普及，電子遊戲正蓬勃發展，如何有效評估遊戲廠商績效成了重要的課題。本研究建構一個適用於電子遊戲產業的網路資料包絡分析模型，將遊戲廠商的各部門效率及整體效率視作不同的目標方程式，並使用多目標規劃法求解各部門效率及整體效率。本研究篩選出20家不同國家的遊戲廠商進行績效評估，將效率結果依國家別作分析，也觀察多目標規劃法中的補償性解法與非補償性解法對遊戲業效率的差異，並觀察各部門效率與整體效率的相關性，最後也以財務分析的觀點，將效率結果與常見的財務分析指標作相關性分析，提供遊戲廠商以多元的角度來改善效率。

With the maturity of software and hardware technology and the popularity of the Internet, the video game industry has been booming. How to effectively evaluate the performance of game companies has become an important issue. This research constructs a network data envelopment analysis(NDEA) model for the video game industry, and conducts the case study with 20 video game companies to evaluate the performance. The departmental efficiency and overall efficiency of the company are regarded as different objective functions in the multi-objective programing model. The method can solve the efficiency of the firm and each department. Besides this work observes the correlation between efficiency with nations and financial ratios. The results are expected to provide meaningful insight to the industrial decision makers.