This special issue includes six articles on different aspects of technology adoption that represent the development and application of different theoretical and methodological approaches to the business problems that they treat. In terms of theory, three of the articles use behavioral and organizational theories, including adaptive structuration theory, management fashion theory, the unified theory of technology acceptance, the technology acceptance model, and diffusion of innovation theory. The other two are based on economic theory, including network effects theory, and economic growth theory. The methods used are also dramatically different in each of the studies. Three studies use field research and survey methods that are common in organizational and behavioral research designs. The authors of these studies are: Sinclaire and Vogus; Park, Lee and Yi; and Hester. Techatassanasoontorn and Suo’s study, in contrast, uses agent-based computational simulation and network modeling to produce its results. Westland’s article discusses affective information technologies for data acquisition in survey research, and employs a detailed historical overview of the literature, along with survey methods and data analysis to illustrate its application. Finally, the study by Ho, Kauffman and Liang uses panel data econometrics and a variety of refinements that permit the triangulation of evidence based on the assumption of somewhat different modeling relationships. Taken together, the contents reflect some of the current advances that
Computer Sciences | Management Information Systems
Information Systems and Management
Information Technology and Management
Springer Verlag (Germany)
KAUFFMAN, Robert J. and TECHATASSANASOONTORN, Angsana A..
New theories and methods for technology adoption research. (2011). Information Technology and Management. 12, (4), 289-291. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/2712
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.