Industry Software Reviews Survey Results and Findings

Industry Software Reviews Survey Results and Findings

Yuk Kuen Wong (Griffith University, Australia)
Copyright: © 2006 |Pages: 38
DOI: 10.4018/978-1-59904-013-4.ch008


This chapter describes the industry survey results and findings, which include preliminary data analysis (missing value and descriptive data analyses), exploratory analyses (principal component analysis, and reliability and validity analysis) and hypotheses tests using Structural Equation Modeling Using Partial Least Squares (PLS) methodology. A total of 15 constructs with 48 indicators are used in the model, but only 15 paths are significant. The results of the model, using an inner model path weighting scheme show a substantial R-square of 0.398 for performance, a moderate level of 0.239 for experience and 0.335 for teamwork and a weak level of 0.024 for reports and 0.049 for previously reviewed software.

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