Generalizations on Consumer Innovation Adoption: A Meta-Analysis on Drivers of Intention and Behavior
By R. Frambach. 2011
569 citations recorded by the source corpus.
Subfields: Applied Psychology, Information Systems and Management, Marketing
View Paper: https://www.semanticscholar.org/paper/b63b2836cd13bfd8e344aee2da689b3c9e8781e9
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In Information Systems and Management
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Citations in the corpus
- A meta-analysis of residential PV adoption: the important role of perceived benefits, intentions and antecedents in solar energy acceptance (2021, background): “[78] revealed that socio-demographic predictors can generally only weakly explain individual innovation adoption decisions.”
- How to activate moral norm to adopt electric vehicles in China? An empirical study based on extended norm activation theory (2018, background): “As intention to adopt an innovation can well predict adoption behavior, it is considered as the proxy variable for adoption behavior in an abundance of research (Arts et al., 2011).”
- Advances in consumer electric vehicle adoption research: A review and research agenda (2015, background): “Different types of intentional measures such as consumer readiness and willingness to adopt the innovation, are the main predictors of adoption behavior and, are in many studies considered as a the proxy variable for adoption behavior (Arts et al., 2011; Schuitema et al., 2013).”
- Consumer perceived brand innovativeness (2015, result): “For example, the results of a recent meta-review (Arts et al., 2011) of 77 studies in the innovation adoption literature between 1970 andmid-2007 show that over 60 per cent of the studies have focused on analyzing a single innovation and only 10 per cent of the studies examined more than five differ”
- Consumer motivations for sustainable consumption : the interaction of gain, normative and hedonic motivations on electric vehicle adoption (2018, background): “Intention, consumer readiness, and willingness to adopt an innovation are the main predictors of adoption behavior and considered, in many studies, as proxy variables for adoption behavior (Arts et al., 2011; Schuitema et al., 2013).”