Literature derived reference models for the adoption of online shopping

By Man Kit Chang, Waiman Cheung, Vincent Siu-king Lai. Information Manager (The), 2005

622 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/63164c008b23fa09845a5fde68985fd5f7162f54

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Citations in the corpus

IT as enabler of sustainable farming: An empirical analysis of farmers' adoption decision of precision agriculture technology (2012, background): “…modules, the vast majority of studies explore the adoption phenomenon with a reference to an individual tool like personal work stations [47] or the web [1] or technologies that do not require significant changes in related processes or equipment, like the adoption of on-line shopping [10].”
Why do people use and recommend m-wallets? (2020, neutral): “Previous literature has suggested that consumers who score highly on personal innovativeness are always willing to try new innovations (Agarwal and Prasad, 1998; Chang et al., 2005).”
What does the brand say? Effects of brand feedback to negative eWOM on brand trust and purchase intentions (2018, background): “Trust is important to examine in studies about online purchases (Wang and Emurian 2005) and the positive influence of trust on purchase intentions has been established in the literature (Chang, Cheung, and Lai 2005; Cheng and Loi 2014; Sichtmann 2007).”
Mapping the reasons for resistance to Internet banking: A means-end approach (2007, background): “Chang, Cheung, and Lai (2004) state that both perceived characteristics and the degree of involvement of a financial product influence channel choice.”
Online shopping drivers and barriers for older adults: Age and gender differences (2014, background): “The ‘‘online shopping reference model’’ proposed by Chang, Cheung, and Lai (2005) indicated that gender and age will affect users’ intentions to shop online.”
Exploring gender differences in online shopping attitude (2010, methodology): “Furthermore, Chang et al. (2005) use online shopping attitude as the key dependent variable in the framework they developed to synthesize and map findings in online shopping research.”
User satisfaction from commercial web sites: The effect of design and use (2006, positive): “There is also difficulty in measuring intentions and actual usage of online shopping; this was addressed by developing an exhaustive literature-derived model of online shopping, classified into: consumer characteristics, Web site and product characteristics, and perceived characteristics of the Web ”
The Moderating Effect of Customer Perceived Value on Online Shopping Behaviour (2011, background): “Although customer perceived value in the online shopping environment is of crucial importance, previous studies have neglected that variable (Chang et al., 2005).”