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

Drawing from several years of empirical research, in this chapter, we look at the impact of the personalities of individual team members on the performance and process outcomes of virtual teams. Our studies showed that both too few and too many extroverts in a virtual team may result in low performance. While conventional wisdom says that teams should be set up on the basis of expertise, we argue that the resulting interaction styles of the members must be considered when establishing a virtual team. We offer suggestions for managers on assessing the potential for constructive interaction styles.

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Time Scarcity and Group Interaction: Encoding vs. Filtering as Determinants of Differential Interaction Styles

PsycEXTRA Dataset ◽

10.1037/e413782005-130 ◽

1999 ◽

Author(s):

Timothy J. Loving ◽

Traci Y. Craig ◽

Janice R. Kelly

Keyword(s):

Group Interaction ◽

Interaction Styles ◽

Differential Interaction

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Virtual Study Groups

Teaching and Learning with Virtual Teams ◽

10.4018/978-1-59140-708-9.ch006 ◽

2006 ◽

pp. 131-157 ◽

Cited By ~ 4

Author(s):

Gregory B. Northcraft ◽

Terri L. Griffith ◽

Mark A. Fuller

Keyword(s):

Virtual Teams ◽

Group Process ◽

Management Education ◽

Group Interaction ◽

Study Groups ◽

Educational Programs ◽

Study Group ◽

Virtual Interaction ◽

Groups And Teams ◽

Working Adult

Groups and teams are critical to modern organizations, and consequently management education has incorporated groups as a centerpiece of both content (the study of group process) and process (the use of study groups and group projects). Unfortunately, working-adult educational programs appear to have yet to take an important final step — acknowledging that study groups often interact virtually and then providing support for virtual study group interaction. We provide both theory and data concerning the use of study groups as virtual teams. We believe that there are important benefits to be gained when study groups make educated decisions about the design and process of their virtual interaction.

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Measuring KPIs of Virtual Teams in Global Organization Using Machine Learning

International Journal of Advanced Research in Science, Communication and Technology ◽

10.48175/ijarsct-243 ◽

2020 ◽

pp. 21-27

Author(s):

Simi Paxleal J

Keyword(s):

Machine Learning ◽

Virtual Teams ◽

Performance Indicators ◽

Current Trend ◽

Industrial Process ◽

Business Strategies ◽

Next Generation ◽

Virtual Leadership ◽

Global Organization ◽

A Current

With the growing uncertainties around the global due to pandemic, many unavoidable market finance fluctuations and the management in industries are hit with the most due to lack of production and traditional industrial process methods are taking a huge hit during the current times and there came the need for the virtual industrialization method that is Industry 4.0 a current trend. Many industries are keen to find the method to extract the correct information on their key performance is still lacking in many areas. Next generation virtual leaders, global leaders and advances in technology are leading to the possibilities of virtual teams in order to execute business strategies. Adoption of permanent structures or methods to determine and calculate the performance of the employees and to access to best talent with rich cultural diversity as a form of competitive advantage. The Machine Learning influencing into the virtual leadership styles that helps in determining the KPIs who work remotely is soon to become the future of many companies and some are already implementing the structure to make the Artificial Intelligence to handle the next generation methodologies to formulate Key Performance Indicators (KPIs).

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