Variables that influence creativity in perception of professionals: A case study in innovative Brazilian companies. (September 2018)

• Record Type: Journal Article
• Authors: Zocche, Lidiana; de Paula, Istefani Carísio; Kunrath, Sandra Elisa; Martins, Vera Lucia Milani; Lermen, Fernando Henrique
• Is Part Of: Thinking skills and creativity. Volume 29(2018)
• Page Start: 170
• Page End: 184
• Publication Date: 2018-09
• Subjects: Creativity -- Variables that influence creativity -- Innovative companies -- Principal component analysis -- Analysis of key components; Thought and thinking -- Periodicals; Critical thinking -- Study and teaching -- Periodicals; Creative thinking -- Study and teaching -- Periodicals; Thinking -- Periodicals; Creativeness -- Periodicals; Teaching -- Periodicals; Pensée -- Étude et enseignement -- Périodiques; Créativité (Éducation) -- Étude et enseignement -- Périodiques; 370.15205
• DOI: 10.1016/j.tsc.2018.07.002
• Languages: English
• ISSNs: 1871-1871

Abstract

Highlights: Improvement of instrument for analysis of variables that influence creativity. Elements for future comparative analyses between professionals and companies. A guide the activities of innovation management for creativity behavior. Abstract: Literature is abundant in analyze how individual-related variables, group relations, and organizational influences creativity. There are studies on the variables that affect creativity, but their measures are not standardized. To fill this gap is the objective of this study, analyzing the variables that explain the creativity from the perception of professionals who work in innovative Brazilian companies. The instrument includes 54 factors distributed in three levels: individual, group, and organization. Methodological procedures include descriptive analysis of data and Principal Component Analysis. A variance analysis was also performed in order to understand if the companies and sectors involved present significant differences in their perceptions. Based on the preliminary results, it was possible to reduce the dimensionality of the data collection instrument from 54 factors to 17, keeping in the questionnaire those factors who's contributed most at the three levels. The analysis of data by main components also allowed verifying the existence of difference between companies of the public and private sector. In future studies, we intend analyze dependencies between the variables and validate the data collection instrument that is under construction.