Understanding digital inequality: comparing continued use behavioral models of the socio-economically advantaged and disadvantaged

By J. Hsieh, Arun Rai, Mark Keil. 2008

694 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Media Technology

View Paper: https://www.semanticscholar.org/paper/b6c4da059beeca2a9bf5c38b18d9c57b85480fef

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In Communication

In Information Systems and Management

In Media Technology

Citations in the corpus

Testing measurement invariance of composites using partial least squares (2016, methodology): “If the study involves small sample sizes, then researchers should consider using fixed weights or apply Hsieh et al.’s (2008) procedure.”
Incorporating Formative Measures into Covariance-Based Structural Equation Models (2011, methodology): “…IS research, most studies incorporating forma-tively measured constructs have been employing the partial least squares (PLS) approach (Wold 1966) for model specification and estimation purposes (e.g., Au et al. 2008; Hsieh et al. 2008; Marakas et al. 2007; Pavlou and Gefen 2005; Yi and Davis 2003).”
Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide (2014, background): “In this respect, there are groups of people (e.g. the elderly) who tend to be excluded from bene ﬁ ting from IT for a variety of reasons (Kvasny & Keil, 2006; Hill et al , 2008; Hsieh et al , 2008).”
The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption (2014, background): “For example, Hsieh, Rai, and Keil (2008) show that the effect of PBC on usage intention varies according to socioeconomic status (disadvantaged vs. advantaged peers).”
Motivational Differences Across Post-Acceptance Information System Usage Behaviors: An Investigation in the Business Intelligence Systems Context (2013, background): “…motivation has focused solely on physical enjoyment and has excluded the joyful feelings that result from accomplishment and learning (e.g., Hsieh et al. 2008, Thong et al. 2006, van der Heijden 2004), we appropriate the RIM concept from social psychology to the IS context and propose a…”
Networks, Technology, and Entrepreneurship: A Field Quasi-experiment among Women in Rural India (2017, neutral): “These factors include attitudinal beliefs, social influence, behavioral control and their antecedents (Hsieh et al., 2008; Venkatesh et al., 2003).”
Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology (2010, background): “The influence of facilitating conditions is expected to be significant in mandatory use settings, as users will vary in terms of the extent to which they have access to and ability to use facilitating resources, such as help-desk support and peer support (Hsieh et al., 2008; Sykes et al., 2009).”
"Working out for likes": An empirical study on social influence in exercise gamification (2015, background): “Specifically, the network exposure considers one’s perceptions of the size of the relevant network (Hsieh et al., 2008; Lin & Bhattacherjee, 2009).”