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Academic literature includes numerous studies on the assessment of the economic impacts of sporting events. Some of these impacts are only temporary and don't produce a lasting effect on the productive fabric, while others lead to long term developments. Even though residents' reactions to the long term impacts of these events have been broadly studied, the views expressed by entrepreneurs located in the area of the event remain to be investigated. This article analyses perceptions of entrepreneurs located near the Sierra Nevada Ski and Mountain Resort in Spain relating to their assessment of the long term effects of hosting the 2017 Snowboard and Freestyle Ski World Championship. This paper makes use of a mixed-methods. The qualitative and quantitative analyses reveal a positive assessment of the event's impact both concerning the promotion of the mountain resort and in terms of its international positioning as a snowboarding and freestyle sports destination. [ABSTRACT FROM AUTHOR]

Composite indicators are a remarkably useful tool in policy analysis and public communication for assessing phenomena, such as Knowledge-Based Economy (KBE), that cannot be expressed by means of a simple indicator. The objective of this study is to propose and compare three MCA-DEA models from a "Benefit of Doubt" (BoD) approach in order to build KBE Composite Indicators. To show the effectiveness of the models, this paper proposes a case study of 36 European countries to assess the degree of development of KBE. The results revealed differences with respect to the optimal weights assigned to the sub-indicators, the discriminating power, the operability, and the participatory nature of the models. Model 1 yielded high scores for every country and low discriminating power. Model 2 favored the most efficient countries in terms of KBE and allows for the incorporation of expert knowledge, thereby giving flexibility to the process. Model 3 made it possible to construct composite indicators from an optimal balance approach and yielded low results overall. These results demonstrate the necessity to analyze the different choices for measuring KBE in order to determine which indicator is more suitable for each context. [ABSTRACT FROM AUTHOR]