Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services

By Se-Joon Hong, Kar Yan Tam. Information systems research, 2006

751 citations recorded by the source corpus.

Subfields: Information Systems and Management, Sociology and Political Science, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/538f550a3351bb34390934b06fa2520398aa7d13

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Citations in the corpus

Culture-Technology Fit: Effects of Cultural Characteristics on the Post-Adoption Beliefs of Mobile Internet Users (2007, background): “First, it is intended for individuals who have different needs and expectations, and most users have voluntarily chosen to use mobile Internet services [36, 46].”
Analysis of users and non-users of smartphone applications (2010, background): “Although, as far as we know, this has never been explicitly done in TAM research, we expect, in analogy with the effect of social norms on perceived usefulness, that social norms also have an effect on perceived enjoyment (Hong and Tam, 2006).”
Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017, methodology): “Furthermore, social image is capable of inducing the usefulness of mobile data services and 3G adoption, as it is founded in previous studies (Hong & Tam, 2006; Chong, Ooi, Lin, & Bao, 2012; respectively).”
A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research (2014, methodology): “…adoption research, previous studies have incorporated context-speciﬁc factors into general models as either direct predictors of intention (e.g., Hong and Tam 2006, Van der Heijden 2004); or indirect predictors of intention mediated through the core constructs in general models (e.g., Brown et…”
Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014, neutral): “IU Hong and Tam (2006), Gu, Lee, and Suh (2009), Chandra et al. (2010), Kim, Mirusmonov, and Lee (2010), Huang et al. (2011), Gwebu and Wang (2011), Chong, Chan, et al. (2012), Chong, Ooi, et al. (2012) AT ?”
Technology Acceptance Model 3 and a Research Agenda on Interventions (2008, background): “…TAM constructs—for instance, Karahanna and Straub (1999) for electronic communication systems (i.e., e-mail systems), Koufaris (2002) for e-commerce, Hong and Tam (2006) for multipurpose information appliances, Rai and Patnayakuni (1996) for CASE tools, and Rai and Bajwa (1997) for executive…”
Taking "Fun and Games" Seriously: Proposing the Hedonic-Motivation System Adoption Model (HMSAM) (2012, background): “Joy, or perceived enjoyment (PE), is the extent to which using a system is perceived to bring pleasure and fulfillment for their own sake, apart from any anticipated performance consequences (Hong & Tam, 2006; Lee et al., 2005).”
An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models (2008, background): “Overall, using an innovation is seen as a form of public consumption; it can be significantly influenced by friends and colleagues [16].”
Understanding digital inequality: comparing continued use behavioral models of the socio-economically advantaged and disadvantaged (2008, background): “…of reasoned action (TRA), and the theory of planned behavior (TPB), have been applied to study ICT acceptance, including post-implementation ICT acceptance by individuals who have interaction experience with the technology (i.e, Davis 1993; Hong et al. 2006; Szajna 1996; Taylor and Todd 1995a).”
Computing in Everyday Life: A Call for Research on Experiential Computing (2010, background): “While IS scholars recently began exploring the adoption and use of IT in a non-work context (Hong and Tam 2006; Venkatesh and Brown 2001), a decisive majority of IS research still deals with the organizational use of IT and its consequences.”
The adoption of mobile healthcare by hospital's professionals: An integrative perspective (2011, methodology): “Many studies have generally highlighted the importance of service provisions in determining the personal use of a new mobile service [17,25,27].”
How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents (2020, background): “These papers include work on adoption of hedonic, dual-and multi-purpose systems (Van der Heijden, 2004; Hong and Tam, 2006; Wu and Lu, 2013), adoption of e-commerce and social networking platforms (Koufaris, 2002; Cheung and Lee, 2012), and adoption of technology at home (Brown and Venkatesh,…”
Exploring the Consumer Behavior of Intention to Purchase Green Products in Belt and Road Countries: An Empirical Analysis (2018, background): “Hong and Tam [61] suggested that perceived monetary value affects user behavioral intentions regarding mobile information services.”