Multivariate data analysis with readings (2nd ed.)
Multivariate data analysis with readings (2nd ed.)
Managerial influence in the implementation of new technology
Management Science
Information technology diffusion: a review of empirical research
ICIS '92 Proceedings of the thirteenth international conference on Information systems
Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Factors that Impact Implementing a System Development Methodology
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Explaining Software Developer Acceptance of Methodologies: A Comparison of Five Theoretical Models
IEEE Transactions on Software Engineering
Methodology for the implementation of knowledge management systems
Journal of the American Society for Information Science and Technology
Towards knowledge needs-technology fit model for knowledge management systems
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
Journal of the American Society for Information Science and Technology
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In this correspondence, we point out some of the major shortcomings that we have discovered in the article titled 驴Factors that Impact Implementing a System Development Methodology驴 by Roberts et al. [9]. The article was published in the August 1998 issue of IEEE Transactions of Software Engineering. The article contains multiple problems that, if not pointed out, have the potential to lead to a state of confusion among researchers and practitioners alike. In particular, the article has the following problems: 1) The authors claim that the lack of theoretical basis for their factors is due to the fact that SDM implementation has never been studied in the literature. In fact, there is a multitude of studies very similar to that of Roberts et al. 2) The study does not meet commonly accepted standards for factor analysis procedures such as a minimum sample size ratio of 5:1, a ratio mandated even by the authors' own citations. This and other factor analysis problems lead to results that are questionable. In order to make the published article more useful to researchers and practitioners, this paper corrects some of the inaccuracies in the Roberts et al.'s article by: 1) Providing a brief literature review of some articles that are similar to the Roberts et al. study and 2) noting some of the technical inaccuracies in the data analysis procedures used by the authors so that the results can be interpreted in the proper context.