Determinants of player acceptance of mobile social network games: An application of extended technology acceptance model

Park, Eunil; Baek, Seungyong; Ohm, Jay Y.; Chang, Hyun Joon

doi:10.1016/j.tele.2013.07.001

Cited by 226 publications

(175 citation statements)

References 44 publications

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“…On the other hand, intrinsic motivations stem purely from an individual's sense of enjoyment when performing a task, without the need for external reinforcements (Scott et al, 1988;Vallerand, 1997). A growing number of studies have explored the importance of intrinsic motivational factors as significant predictors of technology acceptances, such as playfulness (Venkatesh, 2000), and enjoyment (Park, Baek, Ohm, & Chang, 2014). A recent study on e-commerce readiness among consumers posited that enjoyment was significant as a mediating predictor influencing the perceived value of online purchase (Wang et al, 2013).…”

Section: Motivational Modelmentioning

confidence: 99%

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

Gan

Balakrishnan

2017

AJET

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The current study sets out to identify determinants affecting tertiary students' behavioural intentions to use mobile technology in lectures. The study emphasises that the reason for using mobile technology in classrooms with large numbers of students is to facilitate interactions among students and lecturers. The proposed conceptual framework has four main antecedents of behavioural intention: system perception, intrinsic motivation, system and information quality, and uncertainty avoidance. Sample data was collected from 396 tertiary students in Malaysia. Results from structural equation modelling on the sample indicated that behavioural intention was significantly influenced by system and information quality, followed by intrinsic motivation, and uncertainty avoidance. System perception was not significantly predictive of behavioural intention. The proposed framework explained 54% of the variance in behavioural intention of mobile technology use in lecture classes. The study findings are indicative of the importance of system development efforts to ensure overall quality system design. The findings further suggest that mobile technology may serve as a tool to facilitate interaction among students and lecturers in large lecture classes.

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Section: Motivational Modelmentioning

confidence: 99%

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

Gan

Balakrishnan

2017

AJET

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“…When positive attitude is formed by enhanced PU and PEOU, users are more likely to show stronger behavioral intention (IU) to use the technology. theoretical model especially in exploring user acceptance of various mobile-based technologies and services, including smartphones, 9,10 e-book readers, 11 mobile TV, 12 Internet, 13,14 games, 15,16 learning, 17 banking, 18 chatting, 19 and long-term evolution (LTE) services. 20 Therefore, TAM is a logical framework for empirically studying the role played by screen size in determining user acceptance of smartphones.…”

Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

“…AT and IU refer to users' positive feelings and evaluations of using smartphones and their intentions to (continue to) use smartphones, respectively. Based on these definitions and the earlier TAM literature that provides documented evidence for the closely connected, interdependent relationship among PU, PEOU, AT, and IU, [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] the current study intends to verify the following hypotheses related to TAM, in an attempt to explicate the underlying process of smartphone adoption:…”

Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

“…16,[28][29][30] One explanation is that perceived control is positively related to a sense of connectedness, readiness, and accessibility that enhances users' ability to complete tasks and their confidence (i.e., self-efficacy) in reaching goals by using the technology. 30,31 In accordance with the literature reviewed thus far, this study proposes the following hypotheses pertaining to the utilitarian effects of screen size:…”

Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

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Does Screen Size Matter for Smartphones? Utilitarian and Hedonic Effects of Screen Size on Smartphone Adoption

Kim

Sundar

2014

Cyberpsychology, Behavior, and Social Networking

122

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This study explores the psychological effects of screen size on smartphone adoption by proposing an extended Technology Acceptance Model (TAM) that integrates an empirical comparison between large and small screens with perceived control, affective quality, and the original TAM constructs. A structural equation modeling analysis was conducted on data collected from a between-subjects experiment (N = 130) in which users performed a web-based task on a smartphone with either a large (5.3 inches) or a small (3.7 inches) screen. Results show that a large screen, compared to a small screen, is likely to lead to higher smartphone adoption by simultaneously promoting both the utilitarian and hedonic qualities of smartphones, which in turn positively influence perceived ease of use of-and attitude toward-the device respectively. Implications and directions for future research are discussed.

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“…Prior studies in the field of information science and communications have reported that the user's degree of satisfaction in interacting with particular systems and services is a key factor in the user's perception of the usability of the systems or services [40]. In addition, the user's satisfaction plays a notable role in elucidating the user's intention to employ renewable energy technologies or car-related systems [41].…”

Section: Satisfactionmentioning

confidence: 99%

Understanding the Emergence and Social Acceptance of Electric Vehicles as Next-Generation Models for the Automobile Industry

2018

Self Cite

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This study explores potential factors of drivers' intentions to use electric vehicles and proposes an integrated adoption model. Results of a structural equation modeling analysis with 988 samples indicate that drivers' intentions are predicted by one negative factor (cost) and three positive ones (satisfaction, usefulness, and attitude). In addition, the total standardized effects of potential factors on the intention are computed. The current study also validates the original technology acceptance model. Based on the results of the current study, practical and academic implications with potential limitations are examined and presented.

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Determinants of player acceptance of mobile social network games: An application of extended technology acceptance model

Cited by 226 publications

References 44 publications

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

Does Screen Size Matter for Smartphones? Utilitarian and Hedonic Effects of Screen Size on Smartphone Adoption

Understanding the Emergence and Social Acceptance of Electric Vehicles as Next-Generation Models for the Automobile Industry

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