An Investigation of the Adoption of Online Game Technologies in Indonesia

Abstract

This study examines influences on an individual's intentions to use online game technologies. Data was collected by the questionnaire from a sample of 895 individuals of age 12 – 26 years in Indonesia. A theoretical model extending the Unified Theory of Acceptance and Use of Technology included causal effects on intentions as well as moderating effects due to the individual's gender, age, and experience. The model was analyzed using structural equation modeling techniques and the results confirmed several findings from previous studies respected especially with the positive effects of enjoyment, ease of use, and the availability of infrastructure on the individual's intentions. New findings showed that gender, age, and experience moderated the effects on the individual's intention due to social influences, feelings of involvement, and perceptions of personal attainments, respectively. Moreover, new findings emerged for differences and similarities in the significant effects in the theoretical model among the groups defined within the scales of gender, age, and experience.

Role of age, gender and cultural factors as moderator on technology acceptance of online entertainment

“…Hedonic motivation was an interesting factor in the research of acceptance, comprising perceived enjoyment (PE) and flow experience (FE). In technology acceptance research, PE functioned as a predictor for BI in the works of Akbar (2013), Alshare and Mousa (2014), Chen (2018), Harnadi (2017), Cultural factors as moderator Lee (2009) and Wei and Lu (2014), while FE was used by Akbar (2013), Harnadi (2017) and Wang and Sun (2016). PE showed a statistically significant direct effect on BI, as showed by Akbar (2013), Harnadi (2017), Wei and Lu (2014) and Lee (2009).…”

“…Gender is a moderator in the relationships between factors within technology acceptance model. Chen (2018), Harnadi (2017), Lee (2009), Venkatesh (2003Venkatesh ( , 2012, Wang and Wang (2008) and Wang and Sun (2016) explored gender as moderator in online gaming acceptance and consumer acceptance. Table 5 shows the summary of the moderating effect of gender on related explorations.…”

“…Akbar (2013), Harnadi (2017), Lee (2009), Venkatesh (2003Venkatesh ( , 2012 and Wang and Sun (2016) studied the moderating effect of age on the relationship among factors and BI, as shown in Table 6. Specifically, Venkatesh (2012) and Lee (2009) used age as moderator in the relationship between hedonic motivation and BI and reached different conclusions.…”

“…In technology acceptance research, PE functioned as a predictor for BI in the works of Akbar (2013), Alshare and Mousa (2014), Chen (2018), Harnadi (2017), Cultural factors as moderator Lee (2009) and Wei and Lu (2014), while FE was used by Akbar (2013), Harnadi (2017) and Wang and Sun (2016). PE showed a statistically significant direct effect on BI, as showed by Akbar (2013), Harnadi (2017), Wei and Lu (2014) and Lee (2009). Alshare and Mousa (2014) identified a statistically significant direct effect of PE on attitude and attitude on BI.…”

“…The people's adaptability and instinctual understanding of technology-related aspects grow rapidly. Based on the widespread use of online technology, particularly in entertainment, investigating technology acceptance concerning gender and age differences becomes crucial for both developers and consumers (Akbar, 2013;Chawla and Joshi, The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/2398-6247.htm Information Discovery and Delivery Emerald Publishing Limited [ISSN 2398-6247] [DOI 10.1108/IDD-02-2023-0017] 2020; Chen, 2018;Harnadi, 2017;Lee, 2009;Venkatesh, 2003Venkatesh, , 2012Wang and Sun, 2016). The initial research on cultural differences in technology acceptance was carried out by Straub (1997), exploring technology acceptance in relation to cultural factors such as power distance (PD), individualism, feminism and uncertainty avoidance (AU).…”