Expertise, extraversion and group interaction styles as performance indicators in virtual teams

Author:

Balthazard Pierre1,Potter Richard E.2,Warren John3

Affiliation:

1. Arizona State University West

2. University of Illinois at Chicago

3. The University of Texas at San Antonio

Abstract

This study investigates how a personality trait and expertise affect virtual teams interaction, and how that interaction leads to different levels of performance (e.g., solution quality, solution acceptance, cohesion). Teams have been shown to exhibit constructive, aggressive/defensive, or passive/defensive interaction styles that affect communication and thus team performance by facilitating or hindering the exchange of information among group members. These styles reflect an aggregation of the behaviors exhibited by individual team members, which are rooted in their individual personalities. The effects of interaction style on team performance have been well established in face-to-face and virtual teams. Generally, constructive interaction styles produce positive outcomes whereas passive/defensive styles beget negative ones. Aggressive/defensive teams produce solutions that are correlated with the expertise of those that have wrested control of the group but there is often little support for those solutions. The current work explores how different constellations of extraversion and expertise manifest themselves into group interaction styles and, ultimately, outcomes. The study involves 248 professional managers from executive MBA and professional development programs in 63 virtual teams that performed an intellective task. Results show that expertise and extraversion to be curvilinearly related to group interactions and performance, and high levels of extraversion and higher variations in extraversion between team members lead to less constructive and more passive/defensive interaction styles within teams. Results show that although expertise is the best predictor of task performance, it is primarily group interaction styles that predict contextual outcomes (e.g., solution acceptance, cohesion, effectiveness) in virtual teams.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Management Information Systems

Reference83 articles.

1. The Partial Least Squares (PLS) Approach To Causal Modeling: Personal Computer Adoption and Use As An Illustration;Barclay D.;Technology Studies,1995

2. THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META-ANALYSIS

3. Relating member ability and personality to work-team processes and team effectiveness.

Cited by 54 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3