Consumer acceptance of virtual stores: a theoretical model and critical success factors for virtual stores
By Lei-da Chen, Mark Lee Gillenson, Daniel L. Sherrell. DATB, 2004
333 citations recorded by the source corpus.
Subfields: Information Systems and Management, Marketing, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/93d253c1d0b41d14882b61af53ae890413376b69
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
- Y. Yoon
- Ibrahim M. Al-Jabri
- Nicole Koenig‐Lewis
- M. S. Sohail
- Yuxiang (Chris) Zhao
- Imsook Ha
- Alexander Moll
- Xiaojie Tan
In Marketing
In Sociology and Political Science
- Y. Yoon
- Ibrahim M. Al-Jabri
- Nicole Koenig‐Lewis
- M. S. Sohail
- Yuxiang (Chris) Zhao
- Imsook Ha
- Alexander Moll
- Xiaojie Tan
Citations in the corpus
- Shopping mode choice: Physical store shopping versus e-shopping (2009, background): “Nevertheless, this study still tries to extract the attributes associated with time and cost expenses for further empirical use by examining the comparative advantages of e-shopping and store shopping according to these three major elements.”
- Mobile Banking Adoption: Application of Diffusion of Innovation Theory (2012, background): “Compatibility has further been found influential in the adoption of virtual store [Chen et al. 2004], m-payment [Chen 2008], and mobile banking [Koenig-Lewis 2010; Lin 2011].”
- Determinants of adoption of mobile games under mobile broadband wireless access environment (2007, background): “[3] demonstrated that online consumers were price sensitive.”
- Predicting young consumers' take up of mobile banking services (2010, positive): “In particular, they have been extensively used to study the acceptance of e-commerce applications (e.g. Chen et al., 2004; Gefen and Straub, 1997; Koufaris, 2002), as well as various m-commerce applications (e.g. Aldás-Manzano et al., 2009; Koivumaki et al., 2006; Lu et al., 2007; Luarn and Lin,…”
- A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type (2011, methodology): “For instance, trust related questions should be carefully elected when the study aims at testing single trust construct. From student’s standpoint, questions associated with interpersonal rust may be more attractive and popular than the ones associated ith commercial issues. Moreover, detailed segme”
- A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents (2008, neutral): “669 [30] Security protection (PSP) Reflective 5.”