Team Momentum: The Criticality of Resources in League of Legends
DOI:
https://doi.org/10.47611/jsrhs.v11i3.2851Keywords:
team performance, data analysis, league of legends, teamwork, resource-based view, resource allocationAbstract
Objective: This research investigates the impact of the early game and team resources on overall team performance in League of Legends, a Multi-player Online Battle Arena gaming environment. Background: The early game is typically defined as the first 10-15 minutes of the game. I hypothesize that a resource-based view approach fails to capture a holistic analysis of team performance, especially in early stages of formation. Methods: The data set used in this research consists of data from the first 10-15 minutes of professional gameplay. Results: Binary ANOVA and visual graphing techniques are used to explore the data to answer the proposed research questions. Gold difference over time is used as an independent variable in developed models. Results show that gold difference has a significant impact on but cannot always explain team performance. Conclusions: This study demonstrates how data on teamwork may be used to model the performance of teams. The results highlight that a pre-emptive resource-based view may fall short in explaining team success and performance. Application: This research shows the value of reassessing a resource-based view to account for resource allocation and its effects on team performance.
Downloads
References or Bibliography
Barney J. 1991. “Firm Resources and Sustained Competitive Advantage.” Journal of Management 17(1):99-120. https://doi.org/10.1177/014920639101700108.
Barney, Jay B., David J. Ketchen, and Mike Wright. 2011. “The Future of Resource-Based Theory: Revitalization or Decline?” Journal of Management 37, no. 5: 1299–1315. https://doi.org/10.1177/0149206310391805.
Cannon-Bowers, J. A. and Eduardo Salas. 1998. “Team Performance and Training in Complex Environments: Recent Findings from Applied Research.” Current Directions in Psychological Science, 7(3), 83–87. https://doi.org/10.1111%2F1467-8721.ep10773005.
Choubi, Kamal. 2019. Data Analysis League of Legends Study. GitHub Repository. https://github.com/chouhbik/Data-Analysis-League-of-Legends-Study.
Dissanayake, Indika, Jie Zhang and Bin Gu. 2015. “Task Division for Team Success in Crowdsourcing Contests: Resource Allocation and Alignment Effects.” Journal of Management Information Systems, 32:2, 8-39, https://doi.org/10.1080/07421222.2015.1068604.
Kaufman, B. E. 2015. “The RBV theory foundation of strategic HRM: critical flaws, problems for research and practice, and an alternative economics paradigm.” Human Resource Management Journal 25: 516– 540. https://doi.org/10.1111/1748-8583.12085.
Nair, Asha K. and Som Bhattacharyya. 2019. “Mandatory corporate social responsibility in India and its effect on corporate financial performance: Perspectives from institutional theory and resource-based view.” Business Strategy & Development 2(2), 106-116. https://doi.org/10.1002/bsd2.46.
Priem. Richard L. and John Butler. 2001. “Is the Resource-Based “View” a Useful Perspective for Strategic Management Research?.” AMR 26: 22–40. https://doi.org/10.2307/259392.
Smart, Dennis L. and Richard Wolfe. 2003. “The contribution of leadership and human resources to organizational success: An empirical assessment of performance in major league baseball.” European Sport Management Quarterly, 3:3, 165-188. https://doi.org/10.1080/16184740308721949.
Vukobrat, Paul. 2019. “ELI5 League of Legends Guide.” Esports Talk. https://www.esportstalk.com/blog/eli5-league-of-legends-guide-23576/.
Published
How to Cite
Issue
Section
Copyright (c) 2022 David Li
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.
