- The service-productivity learning cockpit – a business intelligence tool for service enterprises (2012)
- The paper describes the development of an agent-based simulation tool for hospital managers to manage their productivity of services, especially in the context of supporting services like patient transport logistics. The learning cockpit allows hospital managers to see how the change of inputs changes the overall perceived customer values of all stakeholders and therefore to get a visualization of the impacts their decisions cause. The paper introduces the general research domain service-productivity, followed by a description of the development steps of artefact creation. The learning cockpit is part of a research project called BELOUGA, which is funded by the German government.
- An Investigation of Organizational Level Continuance of Cloud-Based Enterprise Systems (2014)
- Cloud-based enterprise systems are a growing trend in today’s business software market. With a steadily expanding number of implementations, cloud service providers are now turning their attention from adoption issues towards retaining their existing customer base. The difficulties even established cloud players, like e.g. Salesforce.com, face in retaining their customers have been emphasized by tech bloggers, where the subscriptions of cloud-based enterprise systems are cancelled even at an early stage of adoption. This discontinuance of enterprise systems at an early stage is a rather new phenomenon, which is related to the subscription-based payment model of cloud services, which (theoretically) allows service cancellation without the customers having to fear financial penalties. In contrast, traditional on-premise systems (e.g. SAP ERP) are on a long term license base, where customers are contractually bound. Therefore the research question of the thesis is as follows: What factors influence the organizational level continuance intention of cloud-based enterprise systems? In an effort to answer this research question, the thesis presents five inter-related papers. The first paper develops a conceptual model to study the continuance of cloud-based enterprise systems. Building on this, paper two develops a formative measurement instrument to assess the success of operational cloud-based enterprise systems. The third paper quantitatively explores the influence of the variables identified in the conceptual model. Building on these findings, paper four conducts a stakeholder analysis to solve the problem of broad samples. Finally, the fifth paper uses the formative measurement instrument to test the final research model, which is a revision of the conceptual model developed in the first paper. The results show that continuance intention is influenced both, by information systems success variables, as well as continuance inertia. In addition, behavioral variables, such as attitude towards usage also explained a decent amount of variance in the dependent variable.