Influence of the user's psychological factors on the online purchase intention in rural tourism: integrating innovativeness to the UTAUT framework.

By Héctor San Martín, Ángel Herrero. 2012

607 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/b0014b30ef5f28d115db8d19dba0c8055daa70c0

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In Information Systems and Management

In Organizational Behavior and Human Resource Management

In Sociology and Political Science

Citations in the corpus

Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model (2014, methodology): “In addition, we include in this study consumers’ innovativeness because this variable can influence the online purchasing intentions of consumers (San Martín & Herrero, 2012).”
An Exploratory Study on Drivers and Deterrents of Collaborative Consumption in Travel (2015, unknown): “For example, San-Martín and Herrero (2012) suggest that innovativeness in ICT influences traveller’s intention to make a reservation for rural accommodation online.”
Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality (2019, background): “Of the UTAUT2 factors, we followed Venkatesh et al. [12], San Martín and Herrero [50], Escobar-Rodriguez and Carvajal-Trujillo [69], and Singh and Matsui [66] in including four performance expectancy items, four effort expectancy items, three social influence items, four facilitating conditions item”
Effects of Restaurant Satisfaction and Knowledge Sharing Motivation on eWOM Intentions (2017, background): “A number of studies also adopted this criterion to exclude novice users when determining the sample frame (Hewitt & Forte, 2006; Hoffman & Novak, 2012; San Martín & Herrero, 2012).”
Omnichannel Customer Behavior: Key Drivers of Technology Acceptance and Use and Their Effects on Purchase Intention (2016, background): “…papers have highlighted that consumer innovativeness is a highly inﬂuential factor in ICT adoption and on purchase intention (e.g., Agarwal and Prasad, 1998; Citrin et al., 2000; Herrero and Rodriguez del Bosque, 2008; San Martín and Herrero, 2012; Escobar-Rodríguez and Carvajal-Trujillo, 2014).”
Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust (2016, unknown): “Thus, convenience sampling was used to collect data (San Martín & Herrero, 2012).”
Attracting tourists to travel companies’ websites: the structural relationship between website brand, personal value, shopping experience, perceived risk and purchase intention (2018, background): “Overall, this study has contributed to a certain degree to the theoretical understanding of customer’s perception towards e-commerce in general and tourists perceptions towards tourism website specifically by focusing on risk preference (Lopez-Nicolas & Molina-Castillo, 2008), and shopping experienc”
User-generated-content versus marketing-generated-content: personality and content influence on traveler’s behavior (2018, background): “Personality has been studied according to the innovativeness trait, which has been found to have positive implications on the purchasing behavior on the web (San Martin & Herrero, 2012; Zhou, Dai, & Zhang, 2007).”
Rural tourism: A systematic literature review on definitions and challenges (2021, unknown): “Many studies have investigated the tourist perspectives (San Martín & Herrero, 2012; Qiu et al., 2019), yet few have focused on the host communities.”
An empirical validation of a unified model of electronic government adoption (UMEGA) (2017, background): “Possible ways of achieving these objectives may include wider and more accurate representation of user requirements to system analysts, designers, and developers or selecting and benchmarking the system against other e-government systems that are more consistent with user requirements and have wide ”
The Role of Augmented Reality for Experience-Influenced Environments: The Case of Cultural Heritage Tourism in Korea (2018, background): “In the context of online purchase of rural tourism (San Martín and Herrero 2012) and app-based mobile tour guides (Lai 2013), performance expectancy was found to be the strongest predictor of the intention to use information systems.”
Multidimensional Facets of Perceived Risk in Mobile Travel Booking (2017, background): “…traits are positively associated with online shopping behavior (Citrin et al. 2000; Limayem, Khalifa, and Frini 2000), purchase intention for travel products (San-Martín and Herrero 2012), online information search behavior (Couture et al. 2015), and use of smartphones in travel (Tussyadiah 2015).”