Zusammenfassung
Der Begriff Serviceorientierung hat sich in den letzten Jahren zu einem allgegenwärtigen Schlagwort entwickelt. Während sich der damit verbundene Hype abschwächt, finden serviceorientierte Informationssystementwürfe langsam aber kontinuierlich Verbreitung in Organisationen. Dabei zeigt sich, dass Serviceorientierung neben den technischen Herausforderungen ebenso anspruchsvolle Managementherausforderungen mit sich bringt. Die wichtigsten Komplexitätstreiber eines serviceorientierten Informationssystementwurfs scheinen (a) inkonsistente Entwurfsziele der Stakeholder und (b) das Streben nach großflächiger Umsetzung der Serviceorientierung zu sein. Dieser Beitrag fokussiert die folgenden beiden Fragen: (1) Was sind die Charakteristika erfolgreich serviceorientiert gestalteter Informationssysteme und (2) welche kritischen Erfolgsfaktoren beeinflussen, treiben und/oder determinieren diese Charakteristika? Um ein Modell aus Hypothesen zu Ursache-Wirkungs-Beziehungen basierend auf neun latenten Variablen zu testen, werden die Daten einer empirischen Untersuchung genutzt. Dabei werden die Variablen „Erfolg der Infrastruktur der Serviceorientierung“ und „Erfolg von Projekten zur Serviceorientierung“ unterschieden. Die hypothetisierten Beziehungen zwischen den neun latenten Variablen führen zu einem Kausalmodell, welches erfolgreich getestet wird.
Abstract
Service orientation has been a major buzz-word in recent years. While the buzz is on a decline, organizations are slowly, but steadily moving towards service oriented designs. However, service orientation turns out to be as much of a managerial challenge as of a technical one. The most important complexity drivers in the service oriented design of information systems seem to be (a) inconsistent design goals of stakeholders and (b) the pursuit of exhaustive service orientation coverage. This research focuses on the following two questions: (1) What are the characteristics of successful implementations of service oriented information systems, and (2) what are the critical success factors influencing, driving and/or determining these characteristics? Data of an empirical analysis is used to test a set of cause-effect relationship hypotheses based on nine latent variables. In the core of this model we differentiate the variables “overall service orientation infrastructure success” and “service orientation project success”. The hypothesized interrelationships between the nine variables lead to a causal model which is proven to hold.
Notes
Obwohl Erfolgsindikatoren für Serviceorientierung umformuliert wurden, referenzieren wir die originäre ERP- und EAI-Literatur.
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Angenommen nach zwei Überarbeitungen durch Prof. Dr. Müller.
This article is also available in English via http://www.springerlink.com and http://www.bise-journal.org: Aier S, Bucher T, Winter R (2011) Critical Success Factors of Service Orientation in Information Systems Engineering. Derivation and Empirical Evaluation of a Causal Model. Bus Inf Syst Eng. doi: 10.1007/s12599-011-0148-6.
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Aier, S., Bucher, T. & Winter, R. Kritische Erfolgsfaktoren für die Gestaltung serviceorientierter Informationssysteme. WIRTSCHAFTSINFORMATIK 53, 75–87 (2011). https://doi.org/10.1007/s11576-011-0263-5
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DOI: https://doi.org/10.1007/s11576-011-0263-5