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- ZeitschriftenartikelMeta Modeling for Business Process Improvement(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Johannsen, Florian; Fill, Hans-GeorgConducting business process improvement (BPI) initiatives is a topic of high priority for today’s companies. However, performing BPI projects has become challenging. This is due to rapidly changing customer requirements and an increase of inter-organizational business processes, which need to be considered from an end-to-end perspective. In addition, traditional BPI approaches are more and more perceived as overly complex and too resource-consuming in practice. Against this background, the paper proposes a BPI roadmap, which is an approach for systematically performing BPI projects and serves practitioners’ needs for manageable BPI methods. Based on this BPI roadmap, a domain-specific conceptual modeling method (DSMM) has been developed. The DSMM supports the efficient documentation and communication of the results that emerge during the application of the roadmap. Thus, conceptual modeling acts as a means for purposefully codifying the outcomes of a BPI project. Furthermore, a corresponding software prototype has been implemented using a meta modeling platform to assess the technical feasibility of the approach. Finally, the usability of the prototype has been empirically evaluated.
- ZeitschriftenartikelSuccessful Business Model Types of Cloud Providers(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Labes, Stine; Hanner, Nicolai; Zarnekow, RuedigerThe acceleration of technical change in the fast moving electronics market increases the uncertainty and risk for IT providers. Influenced by new IT provisioning concepts such as cloud computing, providers are looking to identify stable guidelines and success factors within existing and new business models. The authors have conducted an intensive analysis of the business model characteristics of 45 providers in the cloud market that are critical to success. A cloud business model framework with 105 characteristics was used to systemize the business models, and the data was analyzed statistically in regard to indicators for success. The results revealed 42 success-related business model characteristics, and a cluster analysis led to three common combinations of characteristics that describe meta types of cloud business models. The most promising meta type is a specialized cloud provider with customer-oriented branch solutions, while small-scale newcomers with aggregation services experience difficulties to be competitive. To evaluate and verify the results and the success of each business model type, 12 expert interviews were conducted. The interview statements were aggregated and summarized to offer recommendations for action and a prediction for the success of cloud business models.
- ZeitschriftenartikelDigitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Legner, Christine; Eymann, Torsten; Hess, Thomas; Matt, Christian; Böhmann, Tilo; Drews, Paul; Mädche, Alexander; Urbach, Nils; Ahlemann, Frederik
- ZeitschriftenartikelRecommendation-Based Conceptual Modeling and Ontology Evolution Framework (CMOE+)(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Gailly, Frederik; Alkhaldi, Nadejda; Casteleyn, Sven; Verbeke, WouterWithin an enterprise, various stakeholders create different conceptual models, such as process, data, and requirements models. These models are fundamentally based on similar underlying enterprise (domain) concepts, but they differ in focus, use different modeling languages, take different viewpoints, utilize different terminology, and are used to develop different enterprise artifacts; as such, they typically lack consistency and interoperability. This issue can be solved by enterprise-specific ontologies, which serve as a reference during the conceptual model creation. Using such a shared semantic repository makes conceptual models interoperable and facilitates model integration. The challenge to accomplish this is twofold: on the one hand, an up-to-date enterprise-specific ontology needs to be created and maintained, and on the other hand, different modelers also need to be supported in their use of the enterprise-specific ontology. The authors propose to tackle these challenges by means of a recommendation-based conceptual modeling and an ontology evolution framework, and we focus in particular on ontology-based modeling support. To this end, the authors present a framework for Business Process Modeling Notation (BPMN) as a conceptual modeling language, and focus on how modelers can be assisted during the modeling process and how this impacts the semantic quality of the resulting models. Subsequently, a first, large-scale explorative experiment is presented involving 140 business students to evaluate the BPMN instantiation of our framework. The experiments show promising results with regard to incurred overheads, intention of use and model interoperability.
- ZeitschriftenartikelDesign Blueprint for Stress-Sensitive Adaptive Enterprise Systems(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Adam, Marc T. P.; Gimpel, Henner; Maedche, Alexander; Riedl, RenéStress is a major problem in the human society, impairing the well-being, health, performance, and productivity of many people worldwide. Most notably, people increasingly experience stress during human-computer interactions because of the ubiquity of and permanent connection to information and communication technologies. This phenomenon is referred to as technostress. Enterprise systems, designed to improve the productivity of organizations, frequently contribute to this technostress and thereby counteract their objective. Based on theoretical foundations and input from exploratory interviews and focus group discussions, the paper presents a design blueprint for stress-sensitive adaptive enterprise systems (SSAESes). A major characteristic of SSAESes is that bio-signals (e.g., heart rate or skin conductance) are integrated as real-time stress measures, with the goal that systems automatically adapt to the users’ stress levels, thereby improving human-computer interactions. Various design interventions on the individual, technological, and organizational levels promise to directly affect stressors or moderate the impact of stressors on important negative effects (e.g., health or performance). However, designing and deploying SSAESes pose significant challenges with respect to technical feasibility, social and ethical acceptability, as well as adoption and use. Considering these challenges, the paper proposes a 4-stage step-by-step implementation approach. With this Research Note on technostress in organizations, the authors seek to stimulate the discussion about a timely and important phenomenon, particularly from a design science research perspective.
- ZeitschriftenartikelEmbedded Subscriber Identity Module eSIM(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Gerpott, Torsten J.; May, Sebastian
- ZeitschriftenartikelTrans-National Joint Research Projects(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Heinzl, Armin; Bichler, Martin; Aalst, Wil M. P.
- ZeitschriftenartikelInterview with Prof. Jeroen van den Hoven on “Why do Ethics and Values Matter in Business and Information Systems Engineering?”(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Maedche, Alexander
- ZeitschriftenartikelDoes the Framing of Progress Towards Virtual Rewards Matter?(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Kundisch, Dennis; Rechenberg, TobiasA natural experiment on a popular German Question & Answer community is used to find out whether the small-area hypothesis applies to user activation by means of a virtual reward in the form of badges. Koo and Fishbach’s small-area hypothesis posits that individuals in pursuit of a goal are more highly motivated when focusing on the smaller percentage of progress towards their goal, irrespective of whether this figure represents the actions already completed or those still remaining. Consistent with the authors’ theoretical predictions, the study finds empirical evidence for the small-area effect and its activating power, translated here into increased online user contributions. Besides contributing to the literature with an empirical study anchored in theory, the findings have direct practical implications for designers of online virtual reward systems by suggesting more effective (and motivating) ways of framing user progress towards virtual rewards.
- ZeitschriftenartikelCall for Papers, Issue 1/2019(Business & Information Systems Engineering: Vol. 59, No. 4, 2017) Brocke, Jan; Hevner, Alan R.; Maedche, Alexander