Virtuality has become an integral part of a team's definition and its ‘virtual level’ affects many variables that are found in its design, implementation and operation. Therefore, new management practices have been developed over the years in order to lead those virtual teams toward companies’ goals. This dissertation provides a network analysis of works developed in Performance Measurement applied in virtual teams, analyzing an extract of 3412 articles of 3 scientific databases. Through the use of UCINET, it was created a network for visualization of the status quo and provided a vision of future areas to be researched. Through the combination of existing models for performance measurement, it is a proposed and tested methodology to use focus groups for identifying and measuring virtual team’s performance perceptions and comprehension. During this research tools such as: questionnaires, focus groups sessions and operations strategy planning techniques were utilized aiming to rank the level of comprehension of such performance measures by different teams and identify factors that may improve their performance towards a higher level. This methodology was applied on 3 case studies, in different countries and under the same management guidelines. The impact of behavior into performance measurement systems is evident. Lack of clear communication, language barriers, miscomprehension of the objectives, Cultural barriers and lack of motivation negatively increase the impact of behavior in performance measurement systems. The identification and correction of these items is crucial for the success of a team.
Key-Words: Virtual Teams; Performance Measurement; Global; Performance Perception
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