Evaluation of the integration of industrialization and information-based entropy AHP–cross-efficiency DEA model

IF 1.9 4区 管理学 Q3 MANAGEMENT
Jianhua Zhu, Luxin Wan, Huijuan Zhao, Longzhen Yu, Siyu Xiao
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Abstract

Purpose The purpose of this paper is to provide scientific guidance for the integration of industrialization and information (TIOII). In recent years, TIOII has promoted the development of intelligent manufacturing in China. However, many enterprises blindly invest in TIOII, which affects their normal production and operation. Design/methodology/approach This study establishes an efficiency evaluation model for TIOII. In this paper, entropy analytic hierarchy process (AHP) constraint cone and cross-efficiency are added based on traditional data envelopment analysis (DEA) model, and entropy AHP–cross-efficiency DEA model is proposed. Then, statistical analysis is carried out on the integration efficiency of enterprises in Guangzhou using cross-sectional data, and the traditional DEA model and entropy AHP–cross-efficiency DEA model are used to analyze the integration efficiency of enterprises. Findings The data show that the efficiency of enterprise integration is at a medium level in Guangzhou. The efficiency of enterprise integration has no significant relationship with enterprise size and production type but has a low negative correlation with the development level of enterprise integration. In addition, the improved DEA model can better reflect the real integration efficiency of enterprises and obtain complete ranking results. Originality/value By adding the entropy AHP constraint cone and cross-efficiency, the traditional DEA model is improved. The improved DEA model can better reflect the real efficiency of TIOII and obtain complete ranking results.
工业化与信息化熵融合的ahp -交叉效率DEA模型评价
目的为工业化与信息化融合发展提供科学指导。近年来,TIOII推动了中国智能制造的发展。然而,许多企业盲目投资TIOII,影响了企业的正常生产经营。本研究建立了TIOII的效率评价模型。本文在传统数据包络分析(DEA)模型的基础上,增加了熵层次分析法(AHP)约束锥和交叉效率,提出了熵层次分析法-交叉效率DEA模型。然后,采用横截面数据对广州市企业的整合效率进行统计分析,并采用传统的DEA模型和熵ahp -交叉效率DEA模型对企业的整合效率进行分析。结果数据显示,广州市企业整合效率处于中等水平。企业整合效率与企业规模、生产类型关系不显著,与企业整合发展水平负相关程度较低。此外,改进后的DEA模型能更好地反映企业的真实整合效率,获得完整的排序结果。独创性/价值通过增加熵AHP约束锥和交叉效率,对传统的DEA模型进行改进。改进后的DEA模型能更好地反映TIOII的真实效率,获得完整的排序结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.90
自引率
13.60%
发文量
63
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