How to reduce perceived risk when buying online: The interactions between intangibility, product knowledge, brand familiarity, privacy and security concerns
By M. Nepomuceno, Michel Laroche, Marie-Odile Richard. 2014
299 citations recorded by the source corpus.
Subfields: Information Systems and Management, Marketing, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/ca9ffde6b6452041127bc03eed2be32d5a6f6375
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- V. Pitardi
- G. Mortimer
- Lynda Andrews
- S. M. Fazal e Hasan
- Jillian D. Martin
- Michael D. Williams
- Hannah R. Marriott
- Nripendra P. Rana
In Marketing
- V. Pitardi
- G. Mortimer
- Lynda Andrews
- S. M. Fazal e Hasan
- Jillian D. Martin
- Michael D. Williams
- Hannah R. Marriott
In Sociology and Political Science
- V. Pitardi
- G. Mortimer
- Lynda Andrews
- S. M. Fazal e Hasan
- Jillian D. Martin
- Michael D. Williams
- Hannah R. Marriott
- Nripendra P. Rana
Citations in the corpus
- Re-examining online customer experience to include purchase frequency and perceived risk (2015, background): “…of perceived risk continues to be important in studies of online outcomes, such as satisfaction (e.g., Meuter et al., 2000; Shankar Smith & Rangaswamy 2003) or repurchase intentions (e.g., Belanche et al., 2012; Bianchi & Andrews, 2012; Coker, Ashill & 16 Hope, 2011; Nepomuceno et al., 2014).”
- Alexa, she's not human but… Unveiling the drivers of consumers' trust in voice‐based artificial intelligence (2021, background): “These studies provide evidence that privacy concerns can act as a negative antecedent of usage (e.g., Nepomuceno et al., 2014) or as a moderator (e.g., Brill et al., 2019).”
- Online grocery shopping: the impact of shopping frequency on perceived risk (2016, background): “In addition, grocery e-retailers may also engage in trust-building exercises to minimise feelings of anxiety associated with risks inherent in online shopping (Nepomuceno, Laroche, and Richard 2014).”
- Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study (2018, methodology): “…methods to doing so with mobile devices, therefore resulting in more time pressures (Bezes, 2016; Featherman and Pavlou, 2003; Featherman and Wells, 2004; Jacoby and Kaplan, 1972; Lu et al., 2011; Martins et al., 2014; Nepomuceno et al., 2014; Pappas, 2016; Thakur and Srivastava, 2015; Yang, 2016).”
- Influence of consumers’ perceived risk on consumers’ online purchase intention (2018, background): “…product risk (five items) were developed from Dai et al. (2014) and Masoud (2013), time risk (four items) were developed from Masoud (2013) and Marcelo et al. (2014), social risk (four items) were developed from Masoud (2013) and Yang et al. (2016), psychological risk (four items) were…”