多时期两阶段DEA模型:中国有线电视产业综合生产与服务系统绩效评估

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Infor Pub Date : 2022-02-28 DOI:10.1080/03155986.2022.2041331

Xianmei Wang, Hanhui Hu, Yuqi Wei

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引用次数: 1

摘要

随着互联网协议电视(IPTV)和OTT的引入，市场竞争加剧，政策制定逐渐从中央转向省级，中国省级有线电视(CATV)行业的表现已成为人们关注的焦点之一。有线电视行业有两种不同的垂直整合活动:节目制作和服务传输。在本文中，我们开发了一个动态框架来描述一个综合系统，旨在反映有线电视行业的运营过程。考虑到服务传递分工会进一步影响下一阶段的节目制作分工，本文提出了一种多时期两阶段DEA模型，该模型在当期服务传递阶段和下一阶段节目制作阶段之间具有反馈结构，以评价其相对绩效。本文以2010 - 2019年中国有线电视行业的面板数据集为研究对象，涵盖了两个五年计划，给出了详细的实证结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Multi-period two-stage DEA model: measuring performance of integrated production and service systems in Chinese cable TV industry

Abstract The performance of the provincial cable television (CATV) industry in China has become one of the main points of interest as competition in this market intensifies and policy making gradually moves from the central to the provincial level with the introduction of Internet Protocol Television (IPTV) and Over the Top (OTT). The CATV industry has two different vertically integrated activities: program production and service transmitting. In this paper, we develop a dynamic framework to describe an integrated system aiming to reflect the operation process of the CATV industry. Considering the service transmitting division further affects the program production division in the following period, this paper proposes a multi-period two-stage DEA model with feedback structures between service transmitting stage in the current period and program production stage in the next period to evaluate the relative performance. Detailed empirical results are presented from a panel data set of Chinese CATV industry from 2010 to 2019, covering two Five-Year Plans.

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来源期刊

Infor 管理科学-计算机：信息系统

CiteScore

2.60

自引率

7.70%

发文量

审稿时长

>12 weeks

期刊介绍： INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.