A comprehensive method for the measurement of everyday creativity

Fürst, Guillaume; Grin, François

doi:10.1016/j.tsc.2018.03.007

Cited by 43 publications

(42 citation statements)

References 44 publications

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“…Observing the specific behaviors and personality traits of innovators, and understanding how these traits differ from those of non-creative individuals, has been the focus of many empirical studies over the past few decades (Amabile 1988;Dyer et al 2011;Fürst and Grin 2018;Kandemir and Kaufman 2019;Keller and Holland 1978). Traits such as imagination, interests in aesthetics, openness and intellect (Fürst and Grin 2018;Woo et al 2017), along with personal initiative and social competence (Keller and Holland 1983;Keller 2017) have been associated with innovative behaviors and creative outcomes.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This agreement might have led to a decreased interest in understanding new ways to classify creative individuals, beyond the well-known classifications of innovators, early adopters, lighthouse customers, early majority and so forth (Rogers et al 2019). The diffusion of innovation theory proposed by Rogers (1962) as well as the exploration of various traits including the so-called DNA of innovators (Amabile 1996;Dyer et al 2011;Fürst and Grin 2018) represent important contributions to understand what makes some people more creative and innovative than others. The focus has then moved to the study of the collective efforts of teams in the innovation process, from early studies on communities of practice (Wenger 1998) to collaborative innovation networks (Gloor 2006).…”

Section: Introductionmentioning

confidence: 99%

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Linguistic sleuthing for innovators

et al. 2020

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For centuries “innovation” has been a topic of book authors and academic researchers as documented by Ngram and Google Scholar search results. In contrast, “innovators” have had substantially less attention in both the popular domain and the academic domain. The purpose of this paper is to introduce a text analysis research methodology to linguistically identify “innovators” and “non-innovators” using Hebert F. Crovitz’s 42 relational words. Specifically, we demonstrate how to combine the use of two complementary text analysis software programs: Linguistic Inquiry and Word Count and WORDij to simply count the percent of use of these relational words and determine the statistical difference in use between “innovators” and “non-innovators.” We call this the “Crovitz Innovator Identification Method” in honor of Herbert F. Crovitz, who envisioned the possibility of using a small group of 42 words to signal “innovation” language. The Crovitz Innovator Identification Method is inexpensive, fast, scalable, and ready to be applied by others using this example as their guide. Nevertheless, this method does not confirm the viability of any innovation being created, used or implemented; it simply detects how a person’s language signals innovative thinking. We invite other scholars to join us in this linguistic sleuthing for innovators.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Linguistic sleuthing for innovators

et al. 2020

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“…In this study, we employed: (1) the Ten Items Personality Inventory (Gosling et al, 2003), which includes the Big-Five factors extraversion, emotional stability, agreeableness, openness and conscientiousness, of which extraversion and openness have been associated with exploratory behaviour and increased dopamine release in the ventral tegmental area (Ashby et al, 1999;Depue and Collins, 1999b;Panksepp, 1999), being considered a good predictor of creativity (Batey and Hughes, 2017;Hughes et al, 2013;Peterson et al, 2002). Furthermore, Big-Five personality traits, especially openness and extraversion have been directly linked to creative behaviour, especially novelty seeking (Agnoli et al, 2016;Csikszentmihalyi, 1996;De Fruyt et al, 2000; Fürst and Grin, 2018;Gocłowska et al, 2018;Halder et al, 2017;Nakaya et al, 2006;Singh and Kaushik, 2015b;Strobel et al, 1999;Welsh, 1975). 2The Mindset Questionnaire by Dweck et al (1995b) in order to measure the individual's motivation on being creative, (3) the Runco Ideational Behaviour Scale (Runco et al, 2001), which is the most important scale for measuring day-to-day creativity.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Modulations in resting state networks of subcortical structures linked to creativity

et al. 2019

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Creativity is a sine qua non ability for almost all aspects of everyday life. Although very profound behavioural models were provided by 21th century psychologists, the neural correlates of these personality features associated with creativity are largely unknown. Recent models suggest strong relationships between dopamine release and various creative skills. Herein, we employed functional connectivity analyses of resting-state functional magnetic imaging data in order to shed light on these neural underpinnings of creative aspects. For improved sensitivity, we performed the study at ultra-high magnetic field (7 Tesla). Seed regions were defined based on subcortical (ventral tegmental area/substantia nigra, nucleus caudatus) activation foci of a remote associates task (RAT). In addition, bilateral PCC was used as seed region to examine the default-mode network. Network strength across subjects was regressed against a battery of psychological variables related to creativity. Dopaminergic network variations turned out to be indicative for individual differences in creative traits. In this regard, the caudate network showed stronger connectivity in individuals with higher extraversion measures, while connectivity with the midbrain network was found increased with higher ideational behaviour and emotional stability.

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“…Multiple questions, problems and challenges structure a complex of possible lines in the investigation of creativity. According to Türst and Grin (2018), the field of creativity research is based on four main questions: the first, refers to creativity levels (Big-C, small-c mini-c, and Pro-C); the second, to the distinctions between potential and achievement; the third, to the debate between general and specific domains; and the last, to the differences between person, process, product and environment.…”

Section: Everyday Creativitymentioning

confidence: 99%

Women’s Everyday Creative Activities: a Qualitative Study

Elisondo

Vargas

2019

Creativity. Theories – Research - Applications

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The objective is to analyze manifestations of everyday creativity from the perspective of a group of women. We are interested in recovering the voices of the participants to understand constructed meanings regarding the actions, emotions, relations and contexts to unfolding processes of everyday creativity. We conducted a qualitative study, in which 20 Argentine women aged between 21 and 69 years participated. The sampling was not probabilistic, intentional and for convenience. The participants reside in cities of intermediate size, namely Córdoba, San Luis and Mendoza (Argentina). They reported daily, during one week, on the creative activities in which they were engaged in their lives. The process of data collection was done through WhatsApp; participants sent texts, audios, videos and photographs. We codified and analyzed the data with the QDA MINER LITE program. We constructed four categories of analysis: doing creative things; others and creative contexts; emotions in play and creative self-belief. The results indicate that people relate creativity to different types of work (cooking, handicrafts, academic activities, artistic workshops, solving daily problems, etc.). Others play an important role in creativity as the recipients of creative work, collaborative co-workers or helpers that facilitate creative tasks. The development of everyday creative activities is also linked to well-being and positive emotions (pleasure, passion, desire, satisfaction, selfrealization and personal expression). We highlight the importance of creative identity as a complex construction of expectations, self-evaluations and metacognitive processes. The research contributes to the understanding of everyday creativity as a factor that promotes health and the empowerment of women.

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A comprehensive method for the measurement of everyday creativity

Cited by 43 publications

References 44 publications

Linguistic sleuthing for innovators

Linguistic sleuthing for innovators

Modulations in resting state networks of subcortical structures linked to creativity

Women’s Everyday Creative Activities: a Qualitative Study

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