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Sunday, April 21, 2019

Dispersed Team Dynamics Assignment Example | Topics and Well Written Essays - 500 words - 5

Dispersed Team Dynamics - Assignment ExampleConflicts generally occur when there is divagation in opinions and interest between individuals. accord to a study by Lambregts (2011), there are much chances of conflicts in collective activities in which regular communications and interpersonal relationships are less feasible as in virtual team ups (pp.10-11). The conflicts may be of different nature. In a virtual team frame, commonly there are many independent groups working on a linear relationship with the prudence at the headquarters. Therefore there can be conflicts among groups, individuals in the same group or individuals crosswise different groups. Different scholars have varying opinions about the category of conflicts in a virtual team. According to Kankanhalli, Tan and Wei (n.d.), conflicts within a team can either be relationship conflicts or trade union movement conflicts. Personal conflicts occur as a result of increasing tensions and frictions between employees due to mutual contrariety on a particular issue or due to egos and emotional clashes during the routines. Task conflicts generally come out around the methods and processes associated with the given assignments and the responsibilities to accomplish them. According to Professor Lindred Greer (as cite in Petersen (2014), the physical distances and the cultural differences among the team members can affect the quality of communication, and the responses to disagreements can reflect in the negative productivity of the team. The basic movement for this aspect is the unavailability of individuals for personal interactions at the required times of response to proposals and complaints in the process.Conflicts are fitted of self-replication when they are not resolved promptly. Hence it is important for the leaders to create a mechanism to image the possibility of issues within the team. A typical analysis of the nature of conflicts can work as a measure to predict the possibility of

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