Understanding the Behavioural Intention to Play the Nintendo Switch: An Extension of the Technology Acceptance Model

Author:

Lin Chih-WeiORCID,Lin Yu-ShengORCID,Xie Yi-Sheng,Chang Jui-HsiuORCID

Abstract

Ever since the first games launched in the 1970s, the rapid growth of the video games market has successfully attracted more and more purchasers. In this study, we use Nintendo Switch as a case study to examine the extended technology acceptance model (TAM), which integrates the factors of Perceived Playfulness and Compatibility to determine their relevance in the usage behavior. A total of 266 questionnaires were obtained using snowball sampling and analyzed using the Structural Equation Modeling (SEM). The study results revealed that the expanded TAM model can be effectively used in this context and it also showed a good fit for the proposed model from the data analyzed. Attitude explained an R2 of 0.85, which indicates that 85% of the variance in user’s behavior intention is accounted by attitude. Perceived Ease of Use and Perceived Usefulness were significantly positively associated with attitude. Perceived Playfulness was significantly positively associated with Perceived Usefulness. This study also addresses the implications of the findings for researchers and the game marketing strategies practitioners.

Funder

the National Science Council of Taiwan

Publisher

MDPI AG

Subject

Artificial Intelligence,Applied Mathematics,Industrial and Manufacturing Engineering,Human-Computer Interaction,Information Systems,Control and Systems Engineering

Reference57 articles.

1. Math teachers’ perspectives on using educational computer games in math education;Demirbileka;Procedia Soc. Behav. Sci.,2010

2. Chatfield, T. (2010). Fun Inc. Why Gaming with Dominate the 21st Century, Pegasus Books.

3. Lee, S.S., Lin, H.Y., Teo, K.H., Tan, W.P., and Lin, C.W. (2018, January 5–7). Discussion on The Consumers Motivation to Watch E-sports Game and The Follow-up Behaviors Intention. Proceedings of the 2018 2nd International Conference on Education and E-Learning, Bali, Indonesia.

4. Vega, N. (2022, January 01). The Nintendo Switch just became the fastest-selling video game console in US history. New York Post, 4 January 2018. Available online: https://www.nytimes.com/2020/08/12/climate/tropical-soils-climate-change.html.

5. Moore, L. (2022, January 01). Nintendo Switch Has Surpassed 32 Million Units Sold as Mario Kart 8 Deluxe Becomes the Platform’s Best-Selling Game. DualShockers, 31 January 2019. Available online: https://www.dualshockers.com/nintendo-switch-32-million-units-sold/.

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3