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We were looking for trends or changes of some magnitude (a minimum of 10 percent change between neighboring values). This analysis was largely quantitative; however, it was necessary to interpret permutations of change. For example, in some instances, we saw small differences in numerical value and we were reluctant to label these as an increase or decrease. Similarly, in a string of values such as 25, 14, and 25, we elected to interpret this as a plateau rather than as a decrease followed by an increase.

And Kim, H. 2006b. “If the Tree of IS Knowledge Falls in a Forest, Will Anyone Hear? ,” Journal of the Association for Information Systems (7:5), May, pp. 326-334. Walstrom, K. , and Hardgrave, B. C. 2001. “Forums for Information Systems Scholars: III,” Information & Management (39:2), pp. 117-124. Weber, R. 1987. “Toward a Theory of Artifacts: A Paradigmatic Base for Information Systems Research,” Journal of Information Systems, Spring, pp. 3-19. Weber, R. 2003. “Editor’s Comments: Still Desperately Seeking the IT Artifact,” MIS Quarterly (27:2), pp.

C. 1987. 23-45. , and Wybo, M. D. 1992. “The Impact of Data Integration on the Cost and Benefits of Information Systems,” MIS Quarterly (16:3), pp. 293-311. , and Jarvenpaa, S. L. 1991. “Applications of Global Information Technology— Key Issues for Management,” MIS Quarterly (15:1), pp. 33-49. [23] Malone, T. , and Benjamin, R. I. 1987. “Electronic Markets and Electronic Hierarchies,” Communications of the ACM (30:6), pp. 484-497. [24] Lee, A. S. 1989. “A Scientific Methodology for MIS Case Studies,” MIS Quarterly (13:1), pp.

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