Data On Creative Industries Ventures' Performance Influenced By Four Networking Types: Designing Strategies For A Sample Of Female Entrepreneurs With The Use Of Multiple Criteria Analysis

DATA(2020)

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摘要
This paper presents data that investigates the creative industries ventures' performance affected by four different types of networking, namely the social, the professional, the family, and that with public sector organizations. Three hundred and seventy-one questionnaires have been collected for the assessment of networking impact on venture performance. In order to examine the ventures' performance levels of the female entrepreneurs or self-employed in the creative industries of Greece, we use a multiple criteria method. Based on the data analysis, the most important criterion for the female entrepreneurs in the creative industries to perform highly is professional networking while the least important is observed in the criterion of family networking. Dataset: The data is submitted as http://www.mdpi.com/2306-5729/5/1/24/s1. Dataset License: CC0.
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关键词
venture performance, networking, creative industries, multicriteria analysis
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