A test of the technology acceptance model: the case of cellular telephone adoption
By Hyosun Stella Kwon, Laku Chidambaram. Proceedings of the Annual Hawaii International Conference on System Sciences, 2000
345 citations recorded by the source corpus.
Subfields: Information Systems and Management, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/e2d8e33a94122b9ce72e1b2b0351f3e076cc9a46
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
- Sumeet Gupta
- Sang Hyun Kim
- Per E. Pedersen
- Helge Thorbjørnsen
- Jacek Brzezinski
- Shuang Xu
- Herbjørn Nysveen
- Susy S. Chan
In Management Science and Operations Research
- Per E. Pedersen
- Helge Thorbjørnsen
- Jacek Brzezinski
- Gulfem Isiklar Alptekin
- Gülçin Büyüközkan
- Shuang Xu
- Sang Hyun Kim
- Sumeet Gupta
In Sociology and Political Science
- Helge Thorbjørnsen
- Sumeet Gupta
- Per E. Pedersen
- Jacek Brzezinski
- Shuang Xu
- Sang Hyun Kim
- Herbjørn Nysveen
- Susy S. Chan
Citations in the corpus
- Adoption of Mobile Internet Services: An Exploratory Study of Mobile Commerce Early Adopters (2005, methodology): “In our review of adoption studies of mobile services we identified only one minor study applying TAM to the adoption of mobile telephone services (Kwon and Chidambaram, 2000), and just a few studies applying TAM to the adoption of telemedicine services (e.g. Hu, et al., 1999).”
- Moderating effects of Job Relevance and Experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals (2008, background): “002 Kwon and Chidambaram [13] modified TAM to examine the extent of the adoption of cellular phone technology.”
- DETERMINANTS OF USER ACCEPTANCE OF INTERNET BANKING: AN EMPIRICAL STUDY (2003, neutral): “However, the mixed empirical results obtained in prior work suggest that the process through which individual differences influence IT acceptance are not well understood (see Gefen and Straub, 1997; Kwon and Chidambaram, 2000; Palvia and Palvia, 1999).”
- Moderating Effects of Task Type on Wireless Technology Acceptance (2005, methodology): “Beyond IT applications for corporate use, recent studies have also established the model’s applicability for user adoption of cellular phones [25], World Wide Web use [26], smart card payment systems for e-commerce merchants [40], e-commerce [14, 24], digital library [19], and telemedicine [20].”
- Explaining intention to use mobile chat services: moderating effects of gender (2005, background): “), cellular telephones ( Kwon and Chidambaram, 2000”
- Value-based Adoption of Mobile Internet: An empirical investigation (2007, background): “Conventional adoption models have been extended and modified by some researchers to explain the adoption of telecommunication-oriented services like telemedicine [28] and mobile telephones [35] because conventional theories in their original forms are inadequate when explaining the adoption of such ”
- Using a multi-criteria decision making approach to evaluate mobile phone alternatives (2007, background): “Mobile phone ownership and usage [3,4,18,19,21,26] Mobile phone ownership and usage from a behavioral and psychological perspective [21–23]”