Assessing Incentive-Based Motivation on the Team Productivity by an Agent-Based Model


Authors : Luki Iswara; Rudi Fakhrul Rozi; Vincent Istifar; A.G Kalay; Fergyanto E Gunawan

Volume/Issue : Volume 6 - 2021, Issue 8 - August

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3sHuOZz

Several types of work in an organization sometimes need to be completed as a team or a small group of workers. The work productivity of a team is determined by the contribution of each team member. Apart from the lack of ability of workers, teamwork productivity will be problematic when individual team members' motivations for their needs are not met. The motivations explored in this study is incentive-based motivation including achievement motivation, affiliation motivation and power motivation. The aim of this research is to explore how the influence of worker's motivation in a team to productivity, in term of completion time of a given task through simulation by an agent based model. Simulations calculate completion time of the task for each combination motivation profile of workers at different level of task difficulty. The simulation result show when the difficulty level of the task is high, high achievement and high power motivation are needed to produce the best productivity. And at a low task difficulty level, it requires high achievement and affiliation motivation to get the best productivity

Keywords : Agent-Based Model, Productivity, IncentiveBased Motivation, Worker Ability

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