Decision - Making Process in Business Using Game Theory
Abstract
These days, the business environment is dynamic, volatile, uncertain, and with multiple self-interested agents interacting, leading to various opportunities for both conflict and cooperation to appear. Gaining and sustaining competitive advantage on market became important capabilities of a company. The aim of this paper is to investigate the efficiency of game theory in the decision-making process of companies from automotive industry. Game theory is a topic of modern applied mathematics. It uses mathematical techniques for analyzing situations when managers/competitors in the same segment make decisions that influence one another’s interests/business. A key element in a game is to discover which strategy is a decision maker’s best response to the strategies chosen by the others. The concepts of game theory involve the need to formulate, analyze and understand strategic scenarios of companies from various fields. The study’s methodology is based on literature review, case studies, and mathematical methods. After a suggestive literature review framework, the study presents applications which use different types of games in various conditions. The findings prove that game theory represents an important tool for decision-makers from the automotive industry in the field of strategic planning. The results are useful both in the market, for decision-makers and managers of companies, as well as in the academic field, for students. Game theory is inspiring because the terms and ideology are simpler than those of other theories in this segment. Game theory uses mathematical models to look at how conflict and cooperation work together.
References
[2] Farooqui A, Niazi N. Game theory models for communication between agents: a review. Complex Adapt Syst Model, 2016; 4(13): 1-31.
[3] Ganjali N, Guney C. Gis And Game Theory For Water Resource Management. ISPRS Annals. 2017 Oct; IV-4/W4: 215-220.
[4] German A M, Sârbu F, Boșcoianu M. A real options and joint ventures perspective for strategic decision-making process in the case of dynamic industrial environments. MATEC Web Conf., 2017; 97 (06010): 1-7.
[5] German A M, Boșcoianu M. The influence of dynamic capabilities and strategic leadership on SMEs`s performance in emerging markets. 6th International Conference LUMEN “Rethinking Social Actions. Core Values” Medimond Publishing Company, Italy, 2015; 573-576.
[6] Han S, Trigeorgies. Strategic Investment. Real Options and Games. USA: Princeton University Press; 2004: 504.
[7] Kelly A. Decision-making using Game Theory. SUA: Cambridge University Press; 2003: 215.
[8] Madhavi S, Baala Srinivas K, Bharath G, Indhuja R, Kowser Chandini M. Survey on Strategic Games and Decision Making. IJCEACIE. 2015; 9(3): 708-711.
[9] Nash J. Non co-operative games, Ann. of Math., 1951; 54 (2): 286–95.
[10] Shoham Y, Leyton-Brown K. Multiagent systems: algorithmic, game-theoretic, and logical foundations.SUA: Cambridge University Press, New York: 2008. 538.
[11] Turocy T, Stengel B. Game Theory. CDAM Research Report LSE-CDAM. 2001: 1-39.
Copyright (c) 2018 LUMEN Proceedings

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Selection and peer-review under responsibility of the Organizing Committee of the conference.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
© LUMEN Proceedings Series 2022 . The LUMEN Proceedings Open Access volumes are distributed under the terms of the