Modern Management Tools as a Basis for Increasing Efficiency of Cultural Institutions

Abstract

The present research featured official methods of efficiency assessment of cultural institutions. The existing system focuses on quantitative assessment and does not take into account the delayed social and economic effects associated with the quality of human capital. Therefore, the current system of indicators requires expansion. Cultural institutions acquire state or municipal support based on their compliance to efficiency criteria. The author analyzed the financial support provided for implementation of priority national projects. The amount of funds for the development of the cultural sphere appeared to be one of the smallest. The current global uncertainty and new challenges caused the budget funding focus to shift. Taking into consideration the growing variability of external environment, cultural institutions can become efficient only by using modern management tools. The author studied official approaches to assessing the efficiency of cultural institutions. The research objective was to justify the need to use modern management tools in order to increase the efficiency of cultural institutions. The study was based on the institutional approach, as well as the methods of analysis, synthesis, and comparison. The paper introduces some practical recommendations for the use of modern management tools and the application of national standards. The results can be of some interest to top management of cultural institutions. The author proposes systemic and process approaches for implementation of creative projects. She believes that PDCA methodology, benchmark and GAP analyses, and the method of key performance indicators will develop the dynamic capabilities of cultural institutions and increase their strategic flexibility in conditions of high external variability.

Application of Three-Stage DEA Model Combined with BP Neural Network in Microfinancial Efficiency Evaluation

“…is study sets three evaluation indicators after comprehensively considering the current situation of rural finance in Hebei Province: input index, output index, and DMU [32,33]. e DMUs are six cities in Hebei Province, namely, Hengshui, Langfang, Chengde, Zhangjiakou, Xingtai, and Shijiazhuang.…”

“…The efficiency of rural finance in China is studied here via the DEA method by referring to the relevant reference documents on the setting of efficiency input-output indicators of financial institutions in China. This study sets three evaluation indicators after comprehensively considering the current situation of rural finance in Hebei Province: input index, output index, and DMU [ 32 , 33 ].…”