Institutional Repository

Personality and performance : what is the role of negative affectivity?

DSpace/Manakin Repository

Show simple item record

dc.contributor.advisor Perlow, Richard
dc.contributor.author Wright, Marianne
dc.contributor.author University of Lethbridge. Faculty of Management
dc.date.accessioned 2008-02-28T21:12:40Z
dc.date.available 2008-02-28T21:12:40Z
dc.date.issued 2003
dc.identifier.uri http://hdl.handle.net/10133/603
dc.description vi, 57 leaves ; 28 cm. en
dc.description.abstract The present study examined the importance of four psychological constructs, negative affectivity, worry, self-efficacy, and cognitive interference, in predicting the performance of 113 undergraduate students who completed a computerized managerial decision-making simulation. Results revealed that negative affect and worry were unrelated to performance. Self-efficacy was not predictive of task performance; however, self-reported task-related intrusive thoughts was. PLS analysis of the linkages among these construct, identified cognitive interference as a potent force affecting task outcomes. The study suggests that cognitive interference may be useful in more sharply defining the processes involved with task performance; the malleability of the construct offers the implication that managers should train employees to guard against such intrusions to boost performance. en
dc.language.iso en_US en
dc.publisher Lethbridge, Alta. : University of Lethbridge, Faculty of Management, 2003 en
dc.relation.ispartofseries Project (University of Lethbridge. Faculty of Management) en
dc.subject Decision making -- Testing en
dc.subject Psychological tests en
dc.subject Management -- Decision making en
dc.subject Personality en
dc.title Personality and performance : what is the role of negative affectivity? en
dc.type Technical Report en
dc.publisher.faculty Management en

Files in this item

This item appears in the following Collection(s)

Show simple item record

Related Items

Search DSpace


Advanced Search

Browse

My Account

Statistics