How well is the museum performing? A joint use of DEA and BSC to measure the performance of museums

被引:44
作者
Basso, Antonella [1 ]
Casarin, Francesco [2 ]
Funari, Stefania [2 ]
机构
[1] Ca Foscari Univ Venice, Dept Econ, Cannaregio 873, I-30121 Venice, Italy
[2] Ca Foscari Univ Venice, Dept Management, Cannaregio 873, I-30121 Venice, Italy
来源
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 2018年 / 81卷
关键词
Performance evaluation; Data envelopment analysis; Balanced scorecard; Museums; Virtual weights restrictions; DATA ENVELOPMENT ANALYSIS; BALANCED SCORECARD APPROACH; RESEARCH-AND-DEVELOPMENT; REGIONAL SYSTEM; EFFICIENCY; INDICATORS; WEIGHTS; OUTPUTS; BENEFIT; MODELS;
D O I
10.1016/j.omega.2017.09.010
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Measuring the performance has become an important issue also in the cultural sector. In the recent literature, in order to evaluate the performance of museums, Data Envelopment Analysis (DEA) models have been proposed; these models allow to take into account the multidimensional nature of the museum performance. In this paper we exploit the capability of DEA to assess the performance by integrating the DEA approach with the Balanced Scorecard (BSC) tool; this is the first study that proposes a joint application of DEA and BSC to museums. To this aim we propose a new two-stage DEA-BSC approach. In the first stage we set a Balanced Scorecard scheme devised for museums, then we define a proper DEA model for each BSC perspective and compute the DEA efficiency score for every perspective. In the second stage we define a further DEA model which combines the efficiency scores of the various BSC perspectives into an overall performance indicator. In order to prevent the computation of the efficiency score to be almost exclusively determined by one output while disregarding the others, we set proportional restrictions on the virtual outputs. Finally, the DEA-BSC joint approach is applied to the municipal museums of Venice, carrying out a detailed empirical analysis. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:67 / 84
页数:18
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