IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Game-Based Learning for Supply Chain Management: Assessing the Complexity of Games

Game-Based Learning for Supply Chain Management: Assessing the Complexity of Games
View Sample PDF
Author(s): Ghada Ahmed Deghedi (Socio-Computing Department, Faculty of Economics and Political Science, Cairo University, Egypt)
Copyright: 2023
Volume: 13
Issue: 1
Pages: 20
Source title: International Journal of Game-Based Learning (IJGBL)
DOI: 10.4018/ijgbl.319715

Purchase

View Game-Based Learning for Supply Chain Management: Assessing the Complexity of Games on the publisher's website for pricing and purchasing information.

Abstract

Game-based learning has proven to be an effective teaching method in a variety of fields, including supply chain management (SCM). This paper discusses the use of simulation-based business games for training and education in SCM by evaluating the complexity of SCM games. The main contributions of this study are twofold. (1) Creation of a database of available games used for training and education in SCM. For the first time, 40 games were selected, and a comprehensive review of the complexity elements included in these games is presented. (2) Development of a game complexity index to classify, evaluate and order the selected games according to their complexity. The findings of this study will be useful to academics and practitioners interested in logistics and SCM professional training and education. It helps educational institutions how to choose the best game for specific SCM topics.

Related Content

Jiaopin Ren, Wei Xu, Ziqing Liu. © 2024. 25 pages.
Matheus A. Cezarotto, Pamela N. Martinez, Ruth Constansa Torres Castillo, Theodore Stanford, Christopher Engledowl, Germain Degardin, Barbara Chamberlin. © 2024. 19 pages.
Ieva Gintere, Emmanouel Rovithis, Ágnes Karolina Bakk, Alvis Misjuns. © 2024. 18 pages.
. © 2024.
Ghada Ahmed Deghedi. © 2023. 20 pages.
Shalini Wadhwa, Ramanan Balakrishnan. © 2023. 13 pages.
Ivo de Vero, Matthew Barr. © 2023. 14 pages.
Body Bottom