Influences of gender and product type on online purchasing

By Félix Pascual-Miguel, Á. F. Agudo-Peregrina, Julián Chaparro-Peláez. 2015

195 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/c9b01b48c86117e0832dafad898acb6ace45ab0d

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In Information Systems and Management

In Marketing

In Sociology and Political Science

Citations in the corpus

Omnichannel Customer Behavior: Key Drivers of Technology Acceptance and Use and Their Effects on Purchase Intention (2016, background): “Performance expectancy has consistently been shown to be the strongest predictor of behavioral intention (e.g., Venkatesh et al., 2003, 2012; Escobar-Rodríguez and Carvajal-Trujillo, 2014) and purchase intention (Pascual-Miguel et al., 2015).”
The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation (2021, background): “However, the evaluation of UTAUT2 extensions revealed the existing individual technology acceptance mostly focused on Type I associations in the figure 3 with researchers evaluating the associations between the attributes of single class of things of some online information system users (e.g., Alalw”
Purchase intention and purchase behavior online: A cross-cultural approach (2020, background): “The theory claims that measuring behavioral intentions is the ideal method for predicting consumer behavior (Pascual-Miguel et al., 2015).”
A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust (2019, background): “However, other researchers such as Kim et al., [92]; Izquierdo-Yusta and Calderon-Monge [129]; Ingham et al. [130], and Pascual-Miguel et al. [131], have successfully established the role of SI as a signi ﬁ cant predictor of BI, which directly opposes our ﬁ ndings.”