Adoption of Mobile Internet Services: An Exploratory Study of Mobile Commerce Early Adopters
By Per E. Pedersen. Journal of Organizational Computing and Electronic Commerce, 2005
533 citations recorded by the source corpus.
Subfields: Information Systems and Management, Media Technology, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/29eaa8c497bff68cdd705700b07fcc8db1f647a5
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
- Milena M. Head
- Heng Xu
- Dianne Cyr
- Alex Ivanov
- Sumeet Gupta
- J. Puschel
- Hock Hai Teo
- Bernard C. Y. Tan
In Media Technology
- Francisco J. Molina-Castillo
- Carolina López-Nicolás
- Bernard C. Y. Tan
- Hock Hai Teo
- Judy van Biljon
- J. Puschel
- Jia-yi Chen
- Sang Hyun Kim
In Strategy and Management
- J. Puschel
- Jose Afonso Mazzon
- J. M. C. Hernandez
- Francisco J. Molina-Castillo
- Carolina López-Nicolás
- Bernard C. Y. Tan
- Hock Hai Teo
- John Millar Carroll
Citations in the corpus
- Design aesthetics leading to m-loyalty in mobile commerce (2006, background): “Pedersen [72] extended TAM with subjective norms and behavioral control into a decomposed theory of planned behavior for early adopters of mobile commerce services.”
- Factors affecting e-commerce adoption among SMEs in Ghana (2016, background): “According to Pedersen (2003), self-efficacy in the context of technology adoption can be viewed as confidence in one’s ability to use an innovation to achieve a desired behaviour.”
- An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models (2008, background): “Mobile services are adopted for both functional and nonfunctional reasons [27].”
- The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services (2009, background): “In particular, innovators have been found to be early adopters of wireless applications [57].”
- Analysis of users and non-users of smartphone applications (2010, background): “…payment) rather than experiential services (contact and gaming) Thorbjørsen et al. (2007) report a positive significant effect of behavioural control on people’s intention to use MMS (multimedia messaging service), while Pedersen (2005) does the same for the acceptance of mobile commerce services.”
- Moderating effects of Job Relevance and Experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals (2008, background): “Pedersen [19] added subjective norm and behavioral control to examine the reliability of TAM in analyzing mobile wireless service, adding a subjective norm and behavioral control; however, only the former had a significant effect on intention to use.”
- Mobile banking: proposition of an integrated adoption intention framework (2010, methodology): “Literature review There is a growing interest in studying the adoption of mobile banking (Brown et al., 2003; Lee et al., 2003; Suoranta and Mattila, 2004; Laforet and Li, 2005; Luarn and Lin, 2005; Pedersen, 2005; Sulaiman et al., 2007; Laukkanen et al., 2008), but literature on the subject is stil”
- Predicting technology acceptance and adoption by the elderly: a qualitative study (2008, methodology): “The Technology Acceptance Model (TAM) proposes a number of factors that are essential in determining user attitude towards accepting a new technology, as shown in Figure 1 [9, 21], TAM incorporates six distinct factors [9, 24]:”
- The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing (2011, background): “As mobile devices and mobile applications have become part of young people's daily routines [50], we believed that the use of university students as potential LAM users was appropriate.”
- A Model of Green Consumption Behavior Constructed by the Theory of Planned Behavior (2014, background): “Resource limitation refers to the availability of resources (Pedersen, 2005), while self-efficacy refers to one’s belief in one’s own competence(Bandura, 1997.”
- The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services (2009, background): “research indicates that younger individuals are among the most avid users of mobile technologies (Pedersen 2005), and arguably, represent the next generation of mobile consumers.”
- An investigation of consumer acceptance of M-Banking in Australia (2010, background): “This study also builds on the body of research which has found a significant positive relationship between attitude and intention (e.g. Bouwman, Carlsson, Molina-Castillo and Walden, 2007; Curran and Meuter, 2005; Nysveen, Pedersen and Thorbornsen, 2005; Pedersen, 2005) given that the standardised p”