This meta-analysis synthesized 102 effect sizes reflecting the relation between specific moods and creativity. Effect sizes overall revealed that positive moods produce more creativity than mood-neutral controls (r= .15), but no significant differences between negative moods and mood-neutral controls (r= -.03) or between positive and negative moods (r= .04) were observed. Creativity is enhanced most by positive mood states that are activating and associated with an approach motivation and promotion focus (e.g., happiness), rather than those that are deactivating and associated with an avoidance motivation and prevention focus (e.g., relaxed). Negative, deactivating moods with an approach motivation and a promotion focus (e.g., sadness) were not associated with creativity, but negative, activating moods with an avoidance motivation and a prevention focus (fear, anxiety) were associated with lower creativity, especially when assessed as cognitive flexibility. With a few exceptions, these results generalized across experimental and correlational designs, populations (students vs. general adult population), and facet of creativity (e.g., fluency, flexibility, originality, eureka/insight). The authors discuss theoretical implications and highlight avenues for future research on specific moods, creativity, and their relationships.
To understand when and why mood states influence creativity, the authors developed and tested a dual pathway to creativity model; creative fluency (number of ideas or insights) and originality (novelty) are functions of cognitive flexibility, persistence, or some combination thereof. Invoking work on arousal, psychophysiological processes, and working memory capacity, the authors argue that activating moods (e.g., angry, fearful, happy, elated) lead to more creative fluency and originality than do deactivating moods (e.g., sad, depressed, relaxed, serene). Furthermore, activating moods influence creative fluency and originality because of enhanced cognitive flexibility when tone is positive and because of enhanced persistence when tone is negative. Four studies with different mood manipulations and operationalizations of creativity (e.g., brainstorming, category inclusion tasks, gestalt completion tests) support the model.
The dual pathway to creativity model argues that creativity-the generation of original and appropriate ideas-is a function of cognitive flexibility and cognitive persistence, and that dispositional or situational variables may influence creativity either through their effects on flexibility, on persistence, or both. This model is tested in a number of studies in which participants performed creative ideation tasks. We review work showing that cognitive flexibility, operationalised as the number of content categories surveyed, directly relates to idea originality, but that originality can also be achieved by exploring a few content categories in great depth (i.e., persistence). We also show that a global processing mode is associated with cognitive flexibility, but only leads to high originality in tasks that capitalise on cognitive flexibility. We finally show that activating positive mood states enhance creativity because they stimulate flexibility, while activating negative mood states can enhance creativity because they stimulate persistence. Implications for theory and practice are discussed.
This article expands the view of groups as information processors into a motivated information processing in groups (MIP-G) model by emphasizing, first, the mixed-motive structure of many group tasks and, second, the idea that individuals engage in more or less deliberate information search and processing. The MIP-G model postulates that social motivation drives the kind of information group members attend to, encode, and retrieve and that epistemic motivation drives the degree to which new information is sought and attended to, encoded, and retrieved. Social motivation and epistemic motivation are expected to influence, alone and in combination, generating problem solutions, disseminating information, and negotiating joint decisions. The MIP-G model integrates the influence of many individual and situational differences and combines insight on human thinking with group-level interaction process and decision making.
SummaryIn this review we argue that facilitators of innovation at the individual, group, and organizational levels have been reliably identified, and that validated process models of innovation have been developed. However, a content analysis of selected research published between 1997 and 2002 suggests a routinization of innovation research, with a heavy focus on replication-extension, cross-sectional designs, and a single level of analysis. We discuss five innovative pathways for future work: Study innovation as an independent variable, across cultures, within a multi-level framework, and use meta-analysis and triangulation. To illustrate we propose a 'distress-related innovation' model of the relations between negatively connotated variables and innovation at the individual, group, and organizational levels of ana- Imaginative writers, the reader will have noticed, dropped out of this [Soviet] history when it moved from the 1920's into the period of Stalinism. Of course industrious typewriters continued to manufacture novels, plays and poems, but they no longer revealed authors in search of the authentic self and true community, as the works of Olesha and Babel had, not to speak of the pre-revolutionary masters. From 1930 to 1953 Stalin's engineers of human souls typed out their works to formula. Their product has its fascinations, like mass-market fiction and popular drama in the West, but hardly for understanding the psychologies of high culture. They help one understand mass psychology in its relation with the authorities.(Joravsky, Russian psychology: A critical history, 1989, pp. 463-464)
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