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

Basso, Antonella; Casarin, Francesco; Funari, Stefania

doi:10.1016/j.omega.2017.09.010

Cited by 55 publications

(67 citation statements)

References 32 publications

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“…del Barrio et al [19] used the DEA method to evaluate the efficiency of museums in Spain and found that at least half of the museums operated efficiently, with the primary cause for inefficiency being inadequate resource management, while the impact of technological changes was minor. Basso et al [20] proposed a new two-stage efficiency evaluation method, the DEA-BSC method, and applied it to the efficiency evaluation of the Venice Municipal Museum. Other scholars found through research that private cultural institutions are more efficient than public cultural institutions.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency Evaluation and Influencing Factor Analysis of China’s Public Cultural Services Based on a Super-Efficiency Slacks-Based Measure Model

Wang

Chen

2020

Sustainability

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It has been established that culture can contribute to the sustainable development of a country and the world. In China, cultural demands are increasing while cultural resources are relatively scarce. Therefore, this paper evaluates the efficiency of public cultural services in China from 2013 to 2017 and analyzes the major factors affecting this efficiency based on the panel data of 31 provinces, municipalities, and autonomous regions (hereafter referred to as “provinces”) in mainland China. The super-efficiency slacks-based measure (SBM) model in Data Envelopment Analysis (DEA) was adopted. The results show that the efficiency of the public cultural services in each province is significantly different, and the overall efficiency shows a downward trend from 2013 to 2017. The gross domestic product per capita, the education level of the residents, fiscal decentralization, and population density significantly impact public culture service efficiency. Based on these results, the following policy recommendations are proposed: (1) Optimize the input structure of public cultural services and adjust the service direction to satisfy the emerging needs for a more diversified and personalized public with economic development and the improvement of education level; (2) adjust the allocation of public cultural resources nationwide and facilitate the flow of public cultural resources from developed to underdeveloped areas; and (3) provide local governments with higher fiscal autonomy and appropriately introduce the Public-Private Partnership (PPP) model to utilize private capital.

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Section: Literature Reviewmentioning

confidence: 99%

Efficiency Evaluation and Influencing Factor Analysis of China’s Public Cultural Services Based on a Super-Efficiency Slacks-Based Measure Model

Wang

Chen

2020

Sustainability

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“…It shows strengths and weakness aspects. Basso et al [22] classified BSC KPIs as input and output. DMUs are evaluated for each BSC dimension by DEA.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated performance evaluation method study and performance based department ranking: a case study

2020

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Enterprise companies, which make future strategic plan, need to view overall performance. In this direction, monitoring decision-making unit (DMU) performances is a critical issue. Therefore, it should be fair and consistent performance evaluation and prepared open and clear reports. To handle with these requirements, this study focusses on establishing a comprehensive method of performance evaluations (PE). Five main stages exist as a framework of the study. Firstly, right PE tool are selected in terms of strategic frame of companies. In this study, we examine balanced scorecard (BSC) approach that considers not only financial but also non-financial topics to watch overall performance. BSC has key performance indicators (KPI) that show objectives and actualizations belonging to related DMU, and BSC also provides proper and summary reports including different perspectives. The next step is determination of KPI's weights. Analytic hierarchy process (AHP) is applied to determine KPI priorities. Because BSC evaluates DMU'S separately, it does not provide satisfied comparison among different DMU's. In here, we propose data envelopment analyses (DEA) that is linear program based non-parametric approach. However, DEA works correctly for only homogeneous DMU's. As a third step, classification process is applied to ensure homogeneity. Then, using BSC KPI's as outputs and DMU budgets as input, DEA model is run for each class. As a last step, we separate DMUs into categories using efficiency score obtained from fourth stage. To determine category numbers, Hierarchical Clustering Analyze (AHCA) method is used and group elements are selected with applying K-Means Clustering Analyze technique. At the end, a case study is given to show how developed model is applied within a company that uses only BSC tool for PE currently. It could be said that this integrated methodology is more efficient and reliable for decision-making process.

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“…Tan, Zhang, and Khodaverdi (2017) used DEA and the BSC to evaluate and measure the service performance of 10 automobile dealers and indicated that analysis results of DEA and the BSC could provide automobile dealers with specific perspectives and data for improving their service performance. Basso, Casarin, and Funari (2018) integrated DEA with the BSC to measure the performance of museums; the study set the BSC to devise the multidimensional nature of the museum as the first stage. In the second stage, DEA was used to compute the efficiency scores of each BSC perspective.…”

Section: Learning and Growthmentioning

confidence: 99%

Application of a Hybrid Method in Disaster Prevention and Relief Evaluation

Liu

Wang

2019

Technological and Economic Development of Economy

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The purpose of this study is to propose a hybrid method for disaster prevention and relief (DPR) evaluation for Taiwan. Through the hybrid method and evaluation results, the central and local governments of Taiwan could continuously improve and strengthen their DPR system. The main structure of the evaluation is based on the balanced scorecard (BSC), and 15 indicators are gathered from the literature on related issues. These indicators are further analyzed by data envelopment analysis (DEA) and the Malmquist productivity index (MPI) to assess the DPR efficiency of 13 administrative regions in Taiwan. The analysis shows that the DPR system in Taiwan might be improved in Yunlin and Hsinchu City, two administrative regions analyzed during the three stages and time frame studied. The indicators that most significantly affect DPR efficiency are the average number of people served by each government employee or teacher (L1), the supervision score of the Department of Medical Services (DMS) of the Ministry of Health and Welfare (I4), the number of licensed medical practitioners per 10.000 people (C1) and the number of social welfare workers per 10.000 people (C2). These indicators also reflect Taiwan's current shortages in DPR-related and medical personnel.Keywords: disaster prevention and relief, balanced scorecard, data envelopment analysis, Malmquist productivity index. JEL Classification: O47, C44, C61, H12.

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

Cited by 55 publications

References 32 publications

Efficiency Evaluation and Influencing Factor Analysis of China’s Public Cultural Services Based on a Super-Efficiency Slacks-Based Measure Model

Efficiency Evaluation and Influencing Factor Analysis of China’s Public Cultural Services Based on a Super-Efficiency Slacks-Based Measure Model

Integrated performance evaluation method study and performance based department ranking: a case study

Application of a Hybrid Method in Disaster Prevention and Relief Evaluation

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