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Empirical Test of Sourcing Model

  • Jens Dibbern
Part of the Information Age Economy book series (AGEECONOMY)

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.

Keywords

Transaction Cost Partial Little Square Finance Industry German Sample Average Variance Extract 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 15.
    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).Google Scholar
  2. 16.
    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.Google Scholar
  3. 17.
    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*).Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jens Dibbern
    • 1
  1. 1.Universität MannheimMannheimGermany

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