Emotional Stability and Performance: Moderating Effects of Autonomy and Meaning

2011 ◽  
Author(s):  
Jeffrey Muldoon ◽  
Eric Liguori ◽  
Jennifer L. Kisamore ◽  
Suzanne M. Booth
2021 ◽  
pp. 003151252110059
Author(s):  
Erik Lundkvist ◽  
Henrik Gustafsson ◽  
Gunilla Björklund ◽  
Paul Davis ◽  
Andreas Ivarsson

The present study examined relationships between golfers’ self-perceived emotions (e.g., irritability, nervousness, tension), task-oriented coping, perceived control, and performance during a golf competition. We implemented a process-oriented golf analysis in which competitors rated these variables hole-by-hole in a competitive golf round. Within a two-level Bayesian multivariate autoregressive model, we showed that (a) within persons, emotions and task-oriented coping were reactions that stemmed from performance on the previous hole; and (b) between persons, player skill level predicted both better scores and the ability to limit the influence of negative affect on performance. These findings highlight the complex nature of the relationship between emotions and performance. Future studies might use a similarly ecologically valid research design to more precisely measure aspects of time and potentially moderating effects of player skill level and personality. An increased understanding of the dynamic relationship between emotions and performance can promote the development of effective psychological interventions for optimal performance outcomes.


2018 ◽  
Vol 33 (4) ◽  
pp. 574-584 ◽  
Author(s):  
Anni Rajala

Purpose Relationship learning is viewed as an important factor in enhancing competitiveness and an important determinant of profitability in relationships. Prior studies have acknowledged the positive effects of interorganizational learning on performance, but the performance measures applied have varied. The purpose of this study is to examine the relationship between interorganizational learning and different types of performance. The paper also goes beyond direct effects by investigating the moderating effects of different research designs. Design/methodology/approach This paper applies a meta-analytic approach to systematically analyze 21 independent studies (N = 4,618) to reveal the relationship between interorganizational learning and performance. Findings The findings indicate that interorganizational learning is an important predictor of performance, and that the effects of interorganizational learning on performance differ in magnitude under different research conditions. Research limitations/implications The paper focuses on interorganizational learning, and during the data collection, some related topics were excluded from the data search to retain the focus on learning. Practical implications The study evinces the breadth of the field of interorganizational learning and how different research designs affect research results. Moreover, this meta-analysis indicates the need for greater clarity when defining the concepts used in studies and for definitions of the concepts applied in the field of interorganizational learning to be unified. Originality/value This study is the first to meta-analytically synthesize literature on interorganizational learning. It also illuminates new perspectives for future studies within this field.


2002 ◽  
Vol 94 (3) ◽  
pp. 805-813 ◽  
Author(s):  
Andrew M. Lane ◽  
Helen Lane ◽  
Susan Firth

This study examined the influence of postcompetition depressed mood on the intensity of other mood dimensions assessed by the Profile of Mood States and relationships between mood and satisfaction with performance. 195 distance runners completed the Brunel Mood Scale which is a 24-item measure assessing anger, confusion, depression, fatigue, tension, and vigor, and a Performance Satisfaction questionnaire immediately after running a 10-mi. race. To examine the proposed moderating effect of depression, participants were separated into a No-depression group of 133 and a Depressed Mood group of 62. Multivariate analysis of variance indicated that the Depressed Mood group reported significantly higher scores on Anger, Confusion, Fatigue, and Tension and lower Vigor scores than the No-depression group. t ratios indicated that poorer performance was associated with higher Depression scores. Standard multiple regression to predict Performance Satisfaction scores from postcompetition scores on Anger, Confusion, Fatigue, Tension, and Vigor in the No-depression group indicated that only 1% ( Adj. R2 = .01, p>.05) of the variance was explained. By contrast, in the Depressed Mood group, the same mood dimensions predicted 27.5% of the variance in Performance Satisfaction scores ( Adj. R2 = .275, p<.01) with Anger ( Beta = .63, p<.00), and Confusion ( Beta = .44, p<.05) being significant predictors. Present findings support the notion that depressed mood is related to the intensity of other mood dimensions assessed by the Profile of Mood States and moderates relationships between those scores and performance satisfaction.


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