Game theory implementation in business strategy analysis for railway ticket reservation services

Hammam Al May Fauzanu; Apol Pribadi Subriadi; Valeriana Lukitosari

doi:10.1016/j.procs.2024.03.152

Game theory implementation in business strategy analysis for railway ticket reservation services

Hammam Al May Fauzanu, Apol Pribadi Subriadi^*, Valeriana Lukitosari

^*Corresponding author for this work

Department of Information Systems

Research output: Contribution to journal › Conference article › peer-review

Abstract

This study aims to analyze competition between two railway ticket reservation services from users' perspective. The existence of many services makes them compete to acquire users, with KAI Access and Traveloka being the most popular. To determine appropriate business strategies for fair competition, a game theory analysis was carried out. For preparing the model, their business strategies were identified. A survey was conducted to collect 156 users' preferences. The survey results then used to calculate each strategies' value by using game theory model. The game value obtained was 15.33, which produced two appropriate strategies for KAI Access and Traveloka.

Original language	English
Pages (from-to)	1510-1518
Number of pages	9
Journal	Procedia Computer Science
Volume	234
DOIs	https://doi.org/10.1016/j.procs.2024.03.152
Publication status	Published - 2024
Event	7th Information Systems International Conference, ISICO 2023 - Washington, United States Duration: 26 Jul 2023 → 28 Jul 2023

Keywords

IT investment
business strategy
game theory
railway ticketing

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10.1016/j.procs.2024.03.152

Cite this

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title = "Game theory implementation in business strategy analysis for railway ticket reservation services",

abstract = "This study aims to analyze competition between two railway ticket reservation services from users' perspective. The existence of many services makes them compete to acquire users, with KAI Access and Traveloka being the most popular. To determine appropriate business strategies for fair competition, a game theory analysis was carried out. For preparing the model, their business strategies were identified. A survey was conducted to collect 156 users' preferences. The survey results then used to calculate each strategies' value by using game theory model. The game value obtained was 15.33, which produced two appropriate strategies for KAI Access and Traveloka.",

keywords = "IT investment, business strategy, game theory, railway ticketing",

author = "Fauzanu, {Hammam Al May} and Subriadi, {Apol Pribadi} and Valeriana Lukitosari",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors. Published by Elsevier B.V.; 7th Information Systems International Conference, ISICO 2023 ; Conference date: 26-07-2023 Through 28-07-2023",

year = "2024",

doi = "10.1016/j.procs.2024.03.152",

language = "English",

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journal = "Procedia Computer Science",

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TY - JOUR

T1 - Game theory implementation in business strategy analysis for railway ticket reservation services

AU - Fauzanu, Hammam Al May

AU - Subriadi, Apol Pribadi

AU - Lukitosari, Valeriana

PY - 2024

Y1 - 2024

N2 - This study aims to analyze competition between two railway ticket reservation services from users' perspective. The existence of many services makes them compete to acquire users, with KAI Access and Traveloka being the most popular. To determine appropriate business strategies for fair competition, a game theory analysis was carried out. For preparing the model, their business strategies were identified. A survey was conducted to collect 156 users' preferences. The survey results then used to calculate each strategies' value by using game theory model. The game value obtained was 15.33, which produced two appropriate strategies for KAI Access and Traveloka.

AB - This study aims to analyze competition between two railway ticket reservation services from users' perspective. The existence of many services makes them compete to acquire users, with KAI Access and Traveloka being the most popular. To determine appropriate business strategies for fair competition, a game theory analysis was carried out. For preparing the model, their business strategies were identified. A survey was conducted to collect 156 users' preferences. The survey results then used to calculate each strategies' value by using game theory model. The game value obtained was 15.33, which produced two appropriate strategies for KAI Access and Traveloka.

KW - IT investment

KW - business strategy

KW - game theory

KW - railway ticketing

UR - http://www.scopus.com/inward/record.url?scp=85193204400&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2024.03.152

DO - 10.1016/j.procs.2024.03.152

M3 - Conference article

AN - SCOPUS:85193204400

SN - 1877-0509

VL - 234

SP - 1510

EP - 1518

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 7th Information Systems International Conference, ISICO 2023

Y2 - 26 July 2023 through 28 July 2023

ER -

Game theory implementation in business strategy analysis for railway ticket reservation services

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Keywords

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