The effects of perceived risk and technology type on users' acceptance of technologies
By Il Im, Yongbeom Kim, Hyo-Joo Han. Information Manager (The), 2008
593 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/e3199cc853990272adbcb3b442c6ccf220978ef5
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In Information Systems and Management
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- Michael D. Williams
- B. Hernández
- J. Jiménez
- Mehdi Behboudi
- Payam Hanafizadeh
In Organizational Behavior and Human Resource Management
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Michael D. Williams
- Payam Hanafizadeh
- V. Kiviniemi
- Mehdi Behboudi
- Amir Abedini Koshksaray
- Marziyeh Jalilvand Shirkhani Tabar
In Sociology and Political Science
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Michael D. Williams
- Ali Abdallah Alalwan
- B. Hernández
- J. Jiménez
- Mehdi Behboudi
- Payam Hanafizadeh
Citations in the corpus
- Modeling users’ acceptance of mobile services (2012, background): “It has been included as a construct in a number of studies for different types of technologies and systems, such as mobile data services in China [57], application frameworks [56], and generally new technologies [35, 62, 69, 72].”
- The role of information in mobile banking resistance (2010, background): “if a technology fails to deliver its expected outcome, it will cause loss to the user (Im et al., 2008).”
- Age, gender and income: do they really moderate online shopping behaviour? (2011, background): “User perceptions of e-commerce are determined by the experiences the user has had with the internet (Im et al., 2008).”
- The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, background): “…Counted number of external constructs Chan et al. (2010), Chiu and Eysenbach (2010), Gupta et al. (2008), He and Lu (2008), He et al. (2007), Im et al. (2008), Or et al. (2011), Schaupp et al. (2010), Terzis and Economides (2011), van Schaik (2009), Wu et al. (2007) Self-reported Usage 11…”
- Online repatronage intention: an empirical study among Malaysian experienced online shoppers (2014, background): “PR defined “as the subjectively determined expectation of loss by an Internet shopper in contemplating a particular online purchase” (Forsythe and Shi, 2003, p. 869) and as the consumer’s perceived uncertainty (Im et al., 2008).”
- Mobile-banking adoption by Iranian bank clients (2014, background): “Initially, perceived risk was limited to fraud or product quality, but today perceived risk is defined in relation to financial, physical, psychological, or social risks in online transactions (Forsythe and Shi, 2003; Im et al., 2008).”