Articlegold2023

Determination of Factors Influencing the Behavioral Intention to Play “Mobile Legends: Bang-Bang” during the COVID-19 Pandemic: Integrating UTAUT2 and System Usability Scale for a Sustainable E-Sport Business

Ardvin Kester S. Ong · Yogi Tri Prasetyo · Kirstien Paola E. Robas · Satria Fadil Persada · Reny Nadlifatin · James Steven A. Matillano +3 more

26 citations0/0 files storedSustainability

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Technology Adoption and User Behaviour Educational Games and Gamification Digital Games and Media

Abstract

The rise of mobile games during the COVID-19 pandemic era was evident, especially in Asia. One of the most popular online mobile games that has been evident across the world due to its live worldwide competition is “Mobile Legends: Bang Bang” (MLBB). This study aimed to determine factors influencing the behavioral intention to play MLBB by utilizing the integrated model of UTAUT2 and System Usability Scale (SUS). A total of 507 MLBB players voluntarily answered an online questionnaire that consisted of 69 items. Through convenience sampling, the online survey was collected from November 2021–January 2022 from different social media platforms. Several factors such as hedonic motivation, effort expectancy, performance expectancy, perceived usefulness, security, perceived usability, facilitating conditions, social influence, habit, behavioral intention, and SUS were considered in this study. Using Structural Equation Modeling (SEM), results showed that habit was the most significant factor in behavioral intention, followed by perceived usability, facilitating conditions, social influence, and hedonic motivation. In addition, it was evident from the results that when the mobile application is free and resources are available, then continuous patronage of the mobile application will be considered. In-game resources may be capitalized on by developers after gaining these habits and hedonic motivations among users. This is the first study that evaluated MLBB by utilizing the integrated models of UTAUT2 and SUS during the COVID-19 pandemic. The results of this study could be beneficial for developers to entice users for team play and entertainment-based mobile applications. Finally, the model considered may be extended and applied to other mobile applications worldwide.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 26 citations exist upstream.

References

1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 2000Structural Equation Modeling and Regression: Guidelines for Research Practice 2021CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting 2004Toward an understanding of the behavioral intention to use mobile banking 2016Estimation issues with PLS and CBSEM: Where the bias lies!2017Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust

Cited by

2025Factors influencing the perceived usability of line pay: An extended technology acceptance model approach 2024A study on behavioral intentions of artificial intelligence learning platform: comparing the perspectives of teachers and students 2023RETRACTED ARTICLE: The unified theory of acceptance and use of DingTalk for educational purposes in China: an extended structural equation model

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.