Auflistung nach Schlagwort "Resource-based view"
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- ZeitschriftenartikelIT Consultants in Acquisition IT Integration(Business & Information Systems Engineering: Vol. 58, No. 3, 2016) Henningsson, Stefan; Øhrgaard, ChristianIncreasingly, companies are drawing on capacities provided by external consultants to design and execute strategic IT initiatives. However, despite evidence of the impact of such services on IT performance, little is still known about the roles external consultants serve in relation to specific strategic IT initiatives and how companies can draw effectively on their services. The paper investigates the use of consultants in relation to one type of major strategic IT initiative: acquisition IT integration. Acquisition IT integration, which is the integration of the acquirer’s and target’s IT following a corporate acquisition, presents a difficult but crucial IT challenge for the many acquiring organizations. Through a comparative case study of four acquirers, theoretically grounded in the resource-based view of the firm, it is analyzed how acquirers draw on external consultants to realize acquisition IT integration. Two complementary and two supplementary roles consultants assume in these projects are identified. Additionally, three characteristics of the acquisition IT integration strategy are identified that influence how the acquirers assign different roles to IT consultants. The resulting model, depicting the use of external consultants in acquisition IT integration, contributes to the literature on acquisition IT integration by providing an explanation for IT-based value creation in acquisition that is rooted in the external of the acquirer. In addition to adding to the limited, but highly relevant, extant literature on acquisition IT integration, the study also provides general insights into the use of consultants to address strategic IT initiatives.
- ZeitschriftenartikelNachhaltiges Informationsmanagement(Wirtschaftsinformatik: Vol. 51, No. 5, 2009) Schmidt, Nils-Holger; Erek, Koray; Kolbe, Lutz M.; Zarnekow, Rüdiger
- ZeitschriftenartikelThe Impact of Resource Allocation on the Machine Learning Lifecycle(Business & Information Systems Engineering: Vol. 66, No. 2, 2024) Duda, Sebastian; Hofmann, Peter; Urbach, Nils; Völter, Fabiane; Zwickel, AmelieAn organization’s ability to develop Machine Learning (ML) applications depends on its available resource base. Without awareness and understanding of all relevant resources as well as their impact on the ML lifecycle, we risk inefficient allocations as well as missing monopolization tendencies. To counteract these risks, the study develops a framework that interweaves the relevant resources with the procedural and technical dependencies within the ML lifecycle. To rigorously develop and evaluate this framework the paper follows the Design Science Research paradigm and builds on a literature review and an interview study. In doing so, it bridges the gap between the software engineering and management perspective to advance the ML management discourse. The results extend the literature by introducing not yet discussed but relevant resources, describing six direct and indirect effects of resources on the ML lifecycle, and revealing the resources’ contextual properties. Furthermore, the framework is useful in practice to support organizational decision-making and contextualize monopolization tendencies.
- ZeitschriftenartikelTreiber der Adoption SaaS-basierter Anwendungen(Wirtschaftsinformatik: Vol. 51, No. 5, 2009) Benlian, Alexander; Hess, Thomas; Buxmann, PeterSoftware-as-a-Service (SaaS) gilt als wichtiger zukünftiger Meilenstein des Internets der Dienste. Während einige Marktforschungsunternehmen und IT-Dienstleister diese Sichtweise leidenschaftlich unterstützen, beschwören andere jedoch bereits das Scheitern von SaaS-basierten Lösungen herauf. Diesen widersprüchlichen Perspektiven ist nicht nur anzukreiden, dass sie zumeist auf einer schwachen empirischen Datenbasis fußen. Es fehlt vielmehr auch ein theoretischer Zugang, der es ermöglicht, ein fundiertes und differenziertes Bild der SaaS-Adoption zu zeichnen. Die vorliegende Studie nimmt diese Forschungslücke zum Anlass, die treibenden Faktoren der SaaS-Adoption aus mehreren theoretischen Blickwinkeln zu untersuchen. Auf Basis der Transaktionskostentheorie, des ressourcenbasierten Ansatzes und der Theorie des geplanten Verhaltens entwickeln die Autoren ein Forschungsmodell zur Erklärung der Saas-Adoption. Auf Basis einer zufallsbasierten Stichprobenziehung konnten Umfragedaten von 297 Unternehmen in Deutschland mit 374 gültigen Antworten für verschiedene Applikationstypen in verschiedenen Branchen gewonnen werden, um das theoretische Modell zu überprüfen. Die Analyse ergab, dass sich die Entscheidungsmuster bezüglich der SaaS-Adoption zwischen den Applikationstypen stark unterscheiden. Sozialer Einfluss, die Einstellung gegenüber der SaaS-Adoption, die Adoptionsunsicherheit und der strategische Wert erwiesen sich als die stärksten und beständigsten Treiber für alle Applikationstypen. Außerdem wurde festgestellt, dass die Unternehmensgröße keine Rolle für die SaaS-Adoption spielt, da große Unternehmen mindestens das gleiche Adoptionsniveau aufwiesen wie kleine und mittlere Unternehmen. Die Studie liefert nicht nur relevante Einsichten für IT-Anbieter, um besser auf potenzielle SaaS-Nachfrager einwirken zu können. Auch softwarenutzende Unternehmen erhalten relevante Hinweise, auf welche Faktoren sie vor und bei Vertragsverhandlungen achten sollten.AbstractSoftware-as-a-Service (SaaS) is said to become an important cornerstone of the Internet of Services. However, while some market research and IT provider firms fervently support this point of view, others already conjure up the failure of this on-demand sourcing option. Oftentimes based on weak empirical data and shaky reasoning, these inconsistent perspectives lack scientific rigor and neglect to present a more differentiated picture of SaaS-adoption. This study seeks to deepen the understanding of factors driving the adoption of Software-as-a-Service (SaaS). Grounded in transaction cost theory, the resource-based view, and the theory of planned behavior, the authors develop a research model to assess SaaS-adoption at the application level. Survey data of 297 firms in Germany with 374 valid response items across different industries were collected to test the theoretical model. Our analysis revealed that patterns of the decision on SaaS-adoption differ across application types. Social influence, attitude toward SaaS-adoption, adoption uncertainty, and strategic value turned out to be the strongest and most consistent drivers across all application types. Furthermore, it was found that firm size does not matter in SaaS-adoption, since large enterprises and small- and medium-sized companies had similar adoptation rates. Overall, this study provides relevant findings that IT vendors can use to better appeal to potential companies that consider adopting SaaS.