Identifying the Factors of Online Game Acceptance Using Technology Acceptance Model

Abstract

In the last two decades, many companies create online games. Online game is a game that is connected to the internet, where players can play and communicate with other players in different places at the same time. There are many types of game, such as adventure, strategy, cooking, make up, and so on. That is why a lot of people love to play online game. This study tries to identify the factors that support online game acceptance by students of Atma Jaya Yogyakarta University, because many students at this university play online games. The method used for this analysis is Technology Acceptance Model, which has main construct, namely Perceived ease-of-use (PEOU), Perceived usefulness (PU), Attitude toward use (ATU), Intention to use (ITU) and Actual Use (AU), and additional variables of Social Influence (SI), Personal (P) and Excitement (E) added by researcher. The data obtained to conduct this analysis using a questionnaire addressed to students. There are eleven hypotheses that serve as a reference in analyzing the relationship between variables. Each variable proves that each of these variables has a significant relationship in online game acceptance.

The Effect of Visual Appeal, Social Interaction, Enjoyment, and Competition on Mobile Esports Acceptance by Urban Citizens

“…Furthermore, another factor in the proposed model, based on TAM, was perceived usefulness. Perceived usefulness was one of the determinant variables of intention to use among players according previous studies (Dewi & Natalia, 2021;Kim et al, 2013;Pando-Garcia et al, 2016;Zhu et al, 2012). Furthermore, as again shown by Chauhan et al (2021), the analytics showed that perceived usefulness was a major factor in behavior intention in the online mobile gaming industry.…”

“…Furthermore, the insignificant effect of perceived ease of use on attitude toward use was against almost all previous studies. As reported by Dewi and Natalia (2021), Sukendro et al (2020), andZhu et al (2012), these studies stated that the relationship existed and significantly had positive effects. However, the effect of perceived ease of use on attitude varies greatly depending on the case, the object studied, and the target population (Indarsin & Ali, 2017).…”

“…According to TAM, one of its native variables, perceived ease of use, influences the attitude toward behavior. Therefore, this variable was used as a factor in the proposed model based on prior studies (Dewi & Natalia, 2021;Sukendro et al, 2020;Zhu et al, 2012). This factor represents the users' opinion regarding the ease of using mobile esports in this study.…”

“…Most TAM studies (Dewi & Natalia, 2021;Kim et al, 2013;Pando-Garcia et al, 2016;Sukendro et al, 2020;Zhu et al, 2012) showed that attitudes toward using the technology influenced users' intention to use the technology. Also, most TAM studies (Dewi & Natalia, 2021;Jap, 2017;Sukendro et al, 2020) showed that the intention affected the actual use.…”

“…Most TAM studies (Dewi & Natalia, 2021;Kim et al, 2013;Pando-Garcia et al, 2016;Sukendro et al, 2020;Zhu et al, 2012) showed that attitudes toward using the technology influenced users' intention to use the technology. Also, most TAM studies (Dewi & Natalia, 2021;Jap, 2017;Sukendro et al, 2020) showed that the intention affected the actual use. Thus, attitude toward using mobile esports was hypothesized to influence the intention to use significantly, and the intention was expected to positively affect the actual use of mobile esports.…”