Fakultät Informatik und Mathematik
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IT-Backsourcing
(2020)
IT-Backsourcing bezeichnet die Re-Integration vormals outgesourcter IT-Services zurück zum auslagernden Unternehmen. Die vorliegende Studie stellt die Ergebnisse einer Umfrage unter IT-Managern zu Einflussfaktoren von IT-Backsourcing-Entscheidungen vor. Es lässt sich feststellen, dass IT-Backsourcing von Unternehmen in unterschiedlichen Branchen und für eine Vielzahl an unterschiedlichen IT-Services, wie z. B. Applikationsentwicklung oder Infrastruktur-Leistungen, durchgeführt wird. Hauptgründe für die Entscheidung für ein IT-Backsourcing sind mangelnde Qualität, hohe Kosten sowie eine schlechte Beziehung zum IT-Dienstleister. Die Ergebnisse der Umfrage zeigen, dass diejenigen Unternehmen, die sich für ein Backsourcing entschieden haben, nach der Entscheidung insgesamt zufriedener waren als diejenigen, die in einer Outsourcing-Beziehung geblieben sind. Zudem werden verschiedene Handlungsempfehlungen für IT-Manager aufgezeigt. Zur Ausarbeitung einer zukunftsorientieren IT-Sourcing-Strategie empfiehlt es sich, eine service-spezifische Sourcing-Strategie zu verfolgen und entsprechend spezialisierte Dienstleister einzusetzen. Im Falle einer Entscheidung für ein IT-Backsourcing sollten verschiedene Erfolgsfaktoren beachtetet werden, wie z. B. eine frühzeitige Neubesetzung von Schlüsselstellen sowie ein lückenloser Wissenstransfer.
IT Backsourcing
(2019)
With the growing importance of IT as competitive advantage, companies aim to increase their digital transformation activities. Consequently, companies are also revisiting their existing IT sourcing arrangements. In the article at hand, the authors explore the concept of IT backsourcing by presenting the results from a quantitative online survey with global IT practitioners. The authors confirm that backsourcing is frequently applied in practice, with key reasons being dissatisfaction with service or relationship quality and higher than expected costs. Further, the authors identify IT services with an increased likelihood of being backsourced, e.g., application development or data center, and discuss the effect of a CIO change on the backsourcing decision. In addition, the authors show that there are differences in the perceptions on the antecedents and the results of backsourcing decisions between management and operational level. The authors conclude with practical implications for IT managers based on their findings.
There is a common understanding amongst academics that information systems (IS) research sometimes has limited relevance for practitioners. This can be explained by the fact that research lags behind the fast moving IS environment, has limited practical applicability and is hard to access. We have focused on the research area of IS backsourcing, and analyzed practitioner literature to increase our understanding of topics of interest for practitioners, to determine a potential gap between academic and practitioner literature, and to identify future research directions in this field. We observed that most publications are either news or background articles, focusing on describing backsourcing cases. Additionally, we identified four recurring themes, namely reasons for backsourcing, presentation of survey results, discussion of industry trends, and backsourcing success stories. The main reasons identified to trigger backsourcing decisions are cost savings, quality improvements, and increasing control and flexibility. By comparing our findings with academic literature on IS backsourcing, we conclude that generally both literature types cover similar topics. However, researchers have a more formulative or interpretive focus than the often descriptive practitioner literature. Academic literature also examines a broader range of topics, while practitioner literature has a narrower focus. Additionally, we observe one difference regarding applied terminology: while researchers employ the term backsourcing, practitioners mostly use back in-house or insourcing. Our paper contributes to facilitating the exchange between academics and practitioners, presents topics to consider when aiming to increase practical relevance and provides researchers with concrete directions for future research within the field of IS backsourcing.
To prepare their IT landscape for future business challenges, companies are changing their IT sourcing arrangements by using selective sourcing approaches as well as multi-sourcing with more but smaller sourcing contracts. Companies therefore have to reconsider and re-evaluate their IT sourcing setup more frequently. Collecting data from 251 global experts, we empirically tested the effect of service quality, relationship quality, and switching costs on IT sourcing decisions using partial least squares (PLS) analysis. Drawing on previously conducted expert interviews, our model extends previous studies and introduces a decision maker’s sourcing preferences as a not yet examined moderator on IT sourcing decisions. This allows us to investigate the influence of the decision maker’s beliefs on the decision process. We were able to confirm the negative effect of switching costs on a decision in favor of backsourcing, however we could not find significant support for the remaining hypotheses. We further discuss potential reasons for our findings and suggest future research opportunities based on our contribution.