An Agent-Based Model of Team Co-ordination and Performance

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team inherits these characteristics from its organization.

Common organization

characteristics are centralization and formalization. Team composition variables include team size, each team members’ skills and experience. Coordination mechanisms can be implicit, such as task assignment plan, and/or explicit such as communication activities. The decision variables listed are either integer or binary variables. Objective : Optimize Team Performance (Min Completion Time, Max Quality of Results) Subject to : Job Structure = (Task j , Dependencyk )

j = 1,2,  n

k = 1,2,  q

Job Requirements : Skills ja ∈ {0,1} ∀j = 1,2,  n and ∀a = 1,2 s

Task Complexity j ∈ {low, med, high} ∀j = 1,2,  n

Variables : Organization Characteristics : Centralization = {low, med, high}; Formalization = {low, med, high} Team Composition : Team Size > 1, Members Skillsia ∈ {low, med, high} ∀i = 1,2, Team Size and ∀a = 1,2 s Experiencei ∈ {low, med, high} ∀i = 1,2, Team Size Coordination Mechanisms(CM) : Implicit CM l , Explicit CM m

are binary

Figure 2: General Formulation for the Team Design Problem

The formulation can be changed such that what is a decision variable in one instance of the optimization model becomes a constraint in another instance of the optimization model. For example, a team design problem could be to determine how to

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