Determinants of adoption of mobile games under mobile broadband wireless access environment

By Imsook Ha, Y. Yoon, Munkee Choi. Information Manager (The), 2007

655 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/52c19cef3cd2332ae077df59e1e599ffd9f851ff

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In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

The influence of online reviews to online hotel booking intentions [Summary] (2015, neutral): “6 are normally considered for elimination (Ha et al., 2007).”
Antecedents and consequences of e‐learning acceptance (2011, methodology): “Subsequently, many studies (e.g. Igbaria et al ., 1995; Teo et al ., 1999; Van der Heijden, 2004; Lee et al ., 2005; Ha et al ., 2007; Lee et al ., 2007; Yang & Jolly, 2008) integrate the intrinsic motivational perspective into the TAM, and explain IS/IT acceptance from both extrinsic and intrinsic…”
An Integrated Adoption Model of Mobile Cloud Services: Exploration of Key Determinants and Extension of Technology Acceptance Model (2014, background): “…been particularly useful in exploring user acceptance of recent novel mobile technologies and services, including smartphones (Joo and Sang, 2013; Park and Chen, 2007), mobile banking (Lee and Chung, 2009), mobile games (Ha et al., 2007), and long-term evolution (LTE) services (Park and Kim, 2013).”
Factors affecting hotels' adoption of mobile reservation systems: A technology-organization-environment framework (2016, background): “…messaging services (Chang & Pan, 2011), shopping for fashion products (Ko, Kim, & Lee, 2009), broadband wireless access technology-based games (Ha, Yoon, & Choi, 2007), public transportation ticketing services (Mallat, Rossi, Tuunainen, & € O € orni, 2008), and the usage of electronic…”
User acceptance of hedonic digital artifacts: A theory of consumption values perspective (2010, background): “Examples include online learning [14], computer games [9], software agents [20], and television commerce [27].”
Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017, positive): “It was also found that this construct has a positive impact on attitude toward mobile social network games (Park, Baek, Ohm, & Chang, 2014); and according to Ha, Yoon, and Choi (2007) on attitude toward mobile games.”
Towards an understanding of the consumer acceptance of mobile wallet (2009, methodology): “The impact of gender on adoption behavior has attracted some research interest (e.g., Ha et al., 2007; Sun & Zhang, 2006).”
Examining mobile banking user adoption from the perspectives of trust and flow experience (2011, background): “Ha et al. [35] noted that ﬂow experience affects user adoption of mobile games.”