GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC

Online motorcycle taxi drivers are a group of people who are economically affected by the Covid-19
pandemic. This study aimed to provide a balanced choice strategy for drivers and companies. Game theory was
applied to conflict of interest situations as a research method. Choices for online transportation companies and
drivers are analyzed and arranged in a payoff table until they reach the saddle point. Simulation software as an
illustration of a balanced model. This research resulted in driver diligence and incentive strategies as optimal
strategies for drivers and companies. If drivers improve performance by choosing a driver diligence strategy, the
driver's expectations of getting incentives will be more realistic. Meanwhile, for the company, when the driver's
diligence increases, the choice of providing incentives will provide balanced benefits as well.