2018
DOI: 10.1109/access.2018.2806078
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Determinants of Users’ Intention to Purchase Probability-Based Items in Mobile Social Network Games: A Case of South Korea

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Cited by 17 publications
(29 citation statements)
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“… Cross-sectional 348 10–40+ 14.4% Gaming Game community King et al ( 2020 ) Quantit. Cross-sectional 428 18–60+ 6.5% Gaming In-game community Lee et al ( 2018 ) Quantit. Cross-sectional 320 < 20–30+ 37.5% Both Online social networks Lehdonvirta ( 2009 ) Qualit.…”
Section: Resultsmentioning
confidence: 99%
“… Cross-sectional 348 10–40+ 14.4% Gaming Game community King et al ( 2020 ) Quantit. Cross-sectional 428 18–60+ 6.5% Gaming In-game community Lee et al ( 2018 ) Quantit. Cross-sectional 320 < 20–30+ 37.5% Both Online social networks Lehdonvirta ( 2009 ) Qualit.…”
Section: Resultsmentioning
confidence: 99%
“…Along with the dramatic improvement of mobile devices, smartphone-based social network service (SNS) enables users to interact electronically with others anytime and everywhere, and allows people to maintain intimate and close relationships [1,2]. For this reason, mobile game providers also have begun to design and provide mobile social network games (MSNGs), which constitute a new kind of mobile game that combines SNS and mobile game features [2,3]. These games all have an important characteristic that they are played on mobile devices and can connect with their mobile SNS applications to play with their friends together [4].…”
Section: Introductionmentioning
confidence: 99%
“…These games all have an important characteristic that they are played on mobile devices and can connect with their mobile SNS applications to play with their friends together [4]. Hence, players not only can enjoy the game, but they can also enhance their relationships with others while playing MSNGs together [2,3].…”
Section: Introductionmentioning
confidence: 99%
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“…Thus, many empirical studies have identified considerable antecedents of innovative use of IT that can be divided into four categories, including system-related [14], task-related [13], [16], organizational [15], [22], and userrelated factors [1], [7]. First, the findings of prior studies on system-related factors indicate that complexity systems will hinder users from using IS [27]. Since BI systems are too complex, users may feel uncertain about whether they have the ability to overcome these barriers for system exploration.…”
Section: Literature Review and Research Model A Prior Studies Onmentioning
confidence: 99%