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Venture performance factors in creative industries: a sample of female entrepreneurs

Venture performance factors in creative industries: a sample of female entrepreneurs The purpose of this paper is to investigate whether predicting factors of conventional ventures’ performance are appropriate in interpreting the creative industries context. Moreover, this paper introduces a way to measure venture performance in creative industries.Design/methodology/approachA structured questionnaire was used to address this research objectives, based mainly on scales tested in previous studies. Data were collected from a sample of 371 female entrepreneurs of creative industries. A hierarchical linear regression analysis was conducted to examine the research hypotheses.FindingsIn congruence with the hypotheses, the findings demonstrated that venture performance in creative industries can be predicted by factors that affect conventional venture performance. Creative personality and professional network ties are regarded according to the empirical analysis presented in this paper as the factors with the highest impact.Research limitations/implicationsData were pulled from female entrepreneurs in Greece, especially from the two biggest cities Athens and Thessaloniki. Consequently, it was precarious to fulfill the condition of generalizability. Additionally, a snowball sampling method was used, because of the absence of creative industries firms’ directory in Greece.Originality/valueBased on authors’ knowledge and review, no prior study has examined predictors’ effect on creative industries venture performance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Gender in Management An International Journal Emerald Publishing

Venture performance factors in creative industries: a sample of female entrepreneurs

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References (139)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1754-2413
DOI
10.1108/gm-03-2017-0035
Publisher site
See Article on Publisher Site

Abstract

The purpose of this paper is to investigate whether predicting factors of conventional ventures’ performance are appropriate in interpreting the creative industries context. Moreover, this paper introduces a way to measure venture performance in creative industries.Design/methodology/approachA structured questionnaire was used to address this research objectives, based mainly on scales tested in previous studies. Data were collected from a sample of 371 female entrepreneurs of creative industries. A hierarchical linear regression analysis was conducted to examine the research hypotheses.FindingsIn congruence with the hypotheses, the findings demonstrated that venture performance in creative industries can be predicted by factors that affect conventional venture performance. Creative personality and professional network ties are regarded according to the empirical analysis presented in this paper as the factors with the highest impact.Research limitations/implicationsData were pulled from female entrepreneurs in Greece, especially from the two biggest cities Athens and Thessaloniki. Consequently, it was precarious to fulfill the condition of generalizability. Additionally, a snowball sampling method was used, because of the absence of creative industries firms’ directory in Greece.Originality/valueBased on authors’ knowledge and review, no prior study has examined predictors’ effect on creative industries venture performance.

Journal

Gender in Management An International JournalEmerald Publishing

Published: Jul 24, 2018

Keywords: Mentoring; Creativity; Networking; Creative industries; Entrepreneurial orientation; Venture performance

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