Why do people play on-line games? An extended TAM with social influences and flow experience [An article from: Information & Management]
Book Details
Author(s)C.L. Hsu, H.P. Lu
PublisherElsevier
ISBN / ASINB000RR12LW
ISBN-13978B000RR12L7
MarketplaceFrance 🇫🇷
Description
This digital document is a journal article from Information & Management, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
On-line games have been a highly profitable e-commerce application in recent years. The market value of on-line games is increasing markedly and number of players is rapidly growing. The reasons that people play on-line games is an important area of research. This study views on-line games as entertainment technology. However, while most past studies have focused on task-oriented technology, predictors of entertainment-oriented technology adoption have seldom been addressed. This study applies the technology acceptance model (TAM) that incorporates social influences and flow experience as belief-related constructs to predict users' acceptance of on-line games. The proposed model was empirically evaluated using survey data collected from 233 users about their perceptions of on-line games. Overall, the results reveal that social norms, attitude, and flow experience explain about 80% of game playing. The implications of this study are discussed.
Description:
On-line games have been a highly profitable e-commerce application in recent years. The market value of on-line games is increasing markedly and number of players is rapidly growing. The reasons that people play on-line games is an important area of research. This study views on-line games as entertainment technology. However, while most past studies have focused on task-oriented technology, predictors of entertainment-oriented technology adoption have seldom been addressed. This study applies the technology acceptance model (TAM) that incorporates social influences and flow experience as belief-related constructs to predict users' acceptance of on-line games. The proposed model was empirically evaluated using survey data collected from 233 users about their perceptions of on-line games. Overall, the results reveal that social norms, attitude, and flow experience explain about 80% of game playing. The implications of this study are discussed.
