Personality dynamics turn positive and negative mood into creativity.

INTRODUCTION: Research on the link between affect and creativity rests on the assumption that creativity unfolds as a stimulus-driven response to affective states. We challenge this assumption and examine whether personality dynamics moderate the relationships between positive and negative mood with creativity. THEORETICAL MODEL: According to our model, personality dynamics that generate and maintain positive affect and downregulate negative affect energize creativity. Based on this model, we expect high creativity in response to negative mood if people engage in self-motivation and achieve a reduction in negative mood. We further derive that individual differences in action versus state orientation moderate the within-person relationship between mood and creativity. METHOD: We conducted an experience-sampling study and examined the relationship between mood and creativity in everyday work-life. Two hundred and ten participants indicated their action-state orientation and reported their mood three times a day over five consecutive workdays. At noon of each day, we assessed self-motivation and in the evening the extent to which participants had generated novel and useful ideas during the day. RESULTS: We observed high creativity when negative mood declined and self-motivation was high. Action-state orientation moderated the within-person relationships of positive and negative mood with creativity. CONCLUSION: Personality dynamics determine whether positive and negative mood result in creativity.

A dynamic account of self-efficacy in entrepreneurship.

We present a dynamic account of self-efficacy in entrepreneurship that integrates social-cognitive and control theory. According to our dynamic account, variability in self-efficacy energizes action because it involves self-motivation and discrepancy perception as competing motivational processes. We argue that variability and the average level in self-efficacy nascent entrepreneurs display over time support the enactment of entrepreneurial intentions and predict business ownership. The proposed positive effect of variability further implies an inverted u-shaped relationship between self-efficacy at a single point in time and business ownership. To test these hypotheses, we repeatedly assessed entrepreneurial self-efficacy of nascent African entrepreneurs during a 12-week entrepreneurship training program (total N = 241). Twelve months later, we assessed business ownership (total N = 190). We found that variability and the average level in entrepreneurial self-efficacy participants displayed during the training program were positively related to business ownership. Furthermore, for participants with strong entrepreneurial intentions, we found an inverted u-shaped relationship between entrepreneurial self-efficacy after the training program and business ownership. The study suggests that social-cognitive and control theory highlight different facets of self-regulation that both need to be accounted for to explain goal achievement in entrepreneurship. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The predictive power of people's intraindividual variability across situations: Implementing whole trait theory in assessment.

In the last decade, there has been increased recognition that traits refer not only to between-person differences but also to meaningful within-person variability across situations (i.e., whole trait theory). So far, this broader more contemporary trait conceptualization has made few inroads into assessment practices. Therefore, this study focuses on the assessment and predictive power of people's intraindividual variability across situations. In three studies (either in student or employee samples), both test-takers' mean trait scores and the variability of their responses across multiple written job-related situations of a situational judgment test (SJT) were assessed. Results revealed that people's intraindividual variability (a) was related to their self-rated functional flexibility, (b) predicted performance above their mean scores, and (c) predicted their actual personality state variability over 10 days. These results open opportunities for complementing traditional selection procedures with more dynamic indices in assessment. (PsycINFO Database Record

The affective shift model of work engagement.

On the basis of self-regulation theories, the authors develop an affective shift model of work engagement according to which work engagement emerges from the dynamic interplay of positive and negative affect. The affective shift model posits that negative affect is positively related to work engagement if negative affect is followed by positive affect. The authors applied experience sampling methodology to test the model. Data on affective events, mood, and work engagement was collected twice a day over 9 working days among 55 software developers. In support of the affective shift model, negative mood and negative events experienced in the morning of a working day were positively related to work engagement in the afternoon if positive mood in the time interval between morning and afternoon was high. Individual differences in positive affectivity moderated within-person relationships. The authors discuss how work engagement can be fostered through affect regulation.