Event history, spatial analysis and count data methods for empirical research in information systems
Year of publication: |
2012
|
---|---|
Authors: | Kauffman, Robert J. ; Techatassanasoontorn, Angsana A. ; Wang, Bin |
Published in: |
Information technology and management. - New York, NY [u.a.] : Springer, ISSN 1385-951X, ZDB-ID 2212813-X. - Vol. 13.2012, 3, p. 115-147
|
Subject: | Count data | E-commerce | Duration analysis | Empirical research | Event histories | Hazard models | IS research | Information technology | IT Research methods | Statistics | Spatial analysis | Survival analysis | Technology adoption | Statistische Bestandsanalyse | Informationstechnik | Wissenschaftliche Methode | Scientific method | Forschung | Research | Theorie | Theory | Mikroökonometrie | Microeconometrics | Schätzung | Estimation | Informationssystem | Information system | Innovationsdiffusion | Innovation diffusion | Electronic Commerce |
-
Testing censoring point independence
Frandsen, Brigham R., (2019)
-
Mobile commerce adoption in Saudi organizations : a qualitative study
Alfahl, Husam, (2017)
-
Carvalho, Piedade, (2018)
- More ...
-
The value of IT-enabled business process standardization from the real options perspective
Dai, Qizhi, (2010)
-
Kauffman, Robert J., (2008)
-
Event history, spatial analysis and count data methods for empirical research in information systems
Kauffman, Robert J., (2012)
- More ...