Abstract
In this Chapter, the mid-range theoretical framework on IS sourcing will be tested empirically. This requires to transform the theoretical language into an observable language (Fornell, 1989). In other words, the constructs have to be operationalized as measurable variables. In doing so, it is necessary to satisfy both the theoretical and the empirical requirements.
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Notably, however, Monte Carlo simulations (e.g., Bollen, 1989) have shown that the maximum likelihood analysis is robust to certain violations of the normality assumption (Jaccard and Wan, 1996, p. 57).
In designing the questionnaire, one version was printed with blue and the other with red colored hatchings and headlines The blue version was used for the Finance Industry, while the red one was used for the Machinery Industry. This allowed to distinguish both Industries. Another option would have been to ask for the industry affiliation in the questionnaire. However, since non-response of particular survey questions could not be ruled out, this way of differentiating industries was not considered a “secure” option.
There is only one single exception. In the US sample Group 6 is not loading higher than items from two other constructs (Incent* and LongWo*).
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© 2004 Springer-Verlag Berlin Heidelberg
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Dibbern, J. (2004). Empirical Test of Sourcing Model. In: The Sourcing of Application Software Services. Information Age Economy. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2704-0_3
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DOI: https://doi.org/10.1007/978-3-7908-2704-0_3
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0217-7
Online ISBN: 978-3-7908-2704-0
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