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Auflistung BISE 61(4) - August 2019 nach Erscheinungsdatum
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- ZeitschriftenartikelAnthropomorphic Information Systems(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Pfeuffer, Nicolas; Benlian, Alexander; Gimpel, Henner; Hinz, Oliver
- ZeitschriftenartikelConquering the Challenge of Continuous Business Model Improvement(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Simmert, Benedikt; Ebel, Philipp Alexander; Peters, Christoph; Bittner, Eva Alice Christiane; Leimeister, Jan MarcoIn an atmosphere of rapidly changing business environments and intense competition, adequate and timely business models are crucial for companies. Current research mainly focuses on business model development that often neglects the legacy of established companies. The paper at hand addresses this research gap by a process design which allows established companies to rethink, improve, and continually innovate their business models. Following a design science research approach, requirements for improving business models are identified by the analysis of existing literature and by expert interviews. Collaboration Engineering and a multilevel evaluation are applied to create a continuous and implementable process design for business model improvement - including specific activities, instructions, and tools. The process design represents a nascent design theory in form of an "invention" type of knowledge contribution. Moreover, going beyond existing literature, the importance of collaboration between participants in a business model improvement project is highlighted. From a practical perspective, the developed process design enables companies for continuous and recurring business model improvement without the ongoing support of professional moderators or consultants.
- ZeitschriftenartikelThe Price of Privacy(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Baumann, Annika; Haupt, Johannes; Gebert, Fabian; Lessmann, StefanThe analysis of clickstream data facilitates the understanding and prediction of customer behavior in e-commerce. Companies can leverage such data to increase revenue. For customers and website users, on the other hand, the collection of behavioral data entails privacy invasion. The objective of the paper is to shed light on the trade-off between privacy and the business value of customer information. To that end, the authors review approaches to convert clickstream data into behavioral traits, which we call clickstream features, and propose a categorization of these features according to the potential threat they pose to user privacy. The authors then examine the extent to which different categories of clickstream features facilitate predictions of online user shopping patterns and approximate the marginal utility of using more privacy adverse information in behavioral prediction models. Thus, the paper links the literature on user privacy to that on e-commerce analytics and takes a step toward an economic analysis of privacy costs and benefits. In particular, the results of empirical experimentation with large real-world e-commerce data suggest that the inclusion of short-term customer behavior based on session-related information leads to large gains in predictive accuracy and business performance, while storing and aggregating usage behavior over longer horizons has comparably less value.
- ZeitschriftenartikelMathematical Optimization and Algorithms for Offshore Wind Farm Design: An Overview(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Fischetti, Martina; Pisinger, DavidWind energy is a fast evolving field that has attracted a lot of attention and investments in the last decades. Being an increasingly competitive market, it is very important to minimize establishment costs and increase production profits already at the design phase of new wind parks. This paper is based on many years of collaboration with Vattenfall, a leading wind energy developer and wind power operator, and aims at giving an overview of the experience of using Mathematical Optimization in the field. The paper illustrates some of the practical needs defined by energy companies, showing how optimization can help the designers to increase production and reduce costs in the design of offshore parks. In particular, the study gives an overview of the individual phases of designing an offshore wind farm, and some of the optimization problems involved. Finally it goes in depth with three of the most important optimization tasks: turbine location, electrical cable routing and foundation optimization. The paper is concluded with a discussion of future challenges.
- ZeitschriftenartikelIntroducing Registered Reports to the Information Systems Community(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Weinhardt, Christof; Aalst, Wil M. P.; Hinz, Oliver
- ZeitschriftenartikelCall for Papers, Issue 1/2021(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Buxmann, Peter; Hess, Thomas; Thatcher, Jason
- ZeitschriftenartikelDecision Support for the Automotive Industry(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Gleue, Christoph; Eilers, Dennis; Mettenheim, Hans-Jörg; Breitner, Michael H.In the automotive industry, it is very common for new vehicles to be leased rather than sold. This implies forecasting an accurate residual value for the vehicles, which is a major factor for determining monthly leasing rates. Either a systematic overestimation or underestimation of future residual values can incur large potential losses in resale value or, respectively, competitive disadvantages. For the purpose of facilitating residual value related management decisions, an operative decision support system is introduced with emphasis on its forecasting capabilities. In the paper, the use of artificial neural networks for this application is demonstrated in a case study based on more than 250,000 data sets of leasing contracts from a major German car manufacturer, completed between 2011 and 2017. The importance of determining price factors and the effect of different time horizons on forecasting accuracy are investigated and practical implications are discussed. In addition, the authors neither found a significant explanatory nor predictive power of external economic factors, which underlines the importance of collecting and taking advantage of vehicle-specific data or, in more general terms, the exclusive data of corporations, which is often only available internally.
- ZeitschriftenartikelOT Modeling: The Enterprise Beyond IT(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Lara, Paola; Sánchez, Mario; Villalobos, JorgeEnterprises are composed of an enormous number of elements (e.g., organizational units, human resources, production processes, and IT systems) typically classified in the business or the IT domain. However, some crucial elements do not belong in either group: they are directly responsible for producing and delivering the company's goods and services and include all the elements that support day to day operations. Collectively, these elements have been called operational technologies (OT) and have been conspicuously excluded from enterprise modeling (EM) approaches which traditionally have focused on the business and IT dimensions. Evidence of this is the absence of OT elements in languages and metamodels for EM. This is in line with the historical division between IT and OT in organizations that has led to information silos, independent teams, and disparate technologies that only recently have started to be reconciled. Considering that OT is critical to most productive organizations, and the benefits that EM brings to its understanding and improvement, it makes sense to expand EM to include OT. For that purpose, this paper proposes an extension to ArchiMate 3.0 which includes crucial OT elements. On top of that, this paper also proposes an approach to further expand ArchiMate to address specific industries where more specific OT elements are required. This is illustrated in the paper with an extension for the Oil and Gas case that was validated with experts belonging to five companies in the sector.
- ZeitschriftenartikelAI-Based Digital Assistants(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Maedche, Alexander; Legner, Christine; Benlian, Alexander; Berger, Benedikt; Gimpel, Henner; Hess, Thomas; Hinz, Oliver; Morana, Stefan; Söllner, Matthias
- ZeitschriftenartikelWhy Incorporating a Platform-Intermediary can Increase Crowdsourcees' Engagement(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Troll, Julia; Blohm, Ivo; Leimeister, Jan MarcoWhile the crowdsourcer's job is to encourage valuable contributions and sustained commitment in a cost-effective manner, it seems as if the primary attention of management and research is still centered on the evaluation of contributions rather than the crowd. As many crowdsourcers lack the resources to successfully execute such projects, crowdsourcing intermediaries play an increasingly important role. First studies dealt with internal management challenges of incorporating an intermediary. However, the issue of how intermediaries influence crowdsourcees' psychological and behavioral responses, further referred to as engagement, has not been addressed yet. Consequently, two leading research questions guide this paper: (1) How can the engagement process of crowdsourcees be conceptualized? (2) How and why do crowdsourcing intermediaries impact crowdsourcees' engagement? This study extends existing knowledge by offering IS-researchers a process perspective on engagement and exploring the underlying mechanisms and IT-enabled stimuli that foster value-creation in a mediated and non-mediated setting. A theoretical process model is first conceptualized and then explored with insights from two common cases in the growing field of crowd testing. By triangulating platform and interview data, initial propositions concerning the role of specific stimuli and the intermediary within the engagement process are derived. It is proposed that crowdsourcing enterprises, incorporating intermediaries, have the potential to generate a desired engagement state when perceived stimuli under their control belong to the so-called group of "game changers" and "value adders", while the intermediary controls mainly "risk factor" for absorbing negative experiences. Apart from the theoretical relevance of studying mediated engagement processes and explaining voluntary use and participation in a socio-technical system, findings support decisions on how to effectively incorporate platform intermediaries.