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- ZeitschriftenartikelA Value Co-creation Perspective on Information Systems Analysis and Design(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Haki, Kazem; Blaschke, Michael; Aier, Stephan; Winter, RobertInformation systems analysis and design (ISAD) ensures the design of information systems (IS) in line with the requirements of a business environment. Since ISAD approaches follow the currently dominant logic of business, the rise of a new and thriving business logic may require revisiting and advancing extant ISAD approaches and techniques. One of the prevailing debates in marketing research is the paradigmatic shift from a goods-dominant (G-D) to a service-dominant (S-D) logic of business. The cornerstone of this reorientation is the concept of value co-creation emphasizing joint value creation among a variety of actors within a business network. With the aim of introducing value co-creation as a new discourse to ISAD research, this research note argues that (1) the lens of S-D logic with its core concept of value co-creation provides a novel perspective to ISAD. The authors also assert that (2) value co-creation-informed IS design realizes the paradigmatic shift from G-D to S-D logic. Building on this mutual relationship between value co-creation and ISAD, they propose a research agenda and discuss the ISAD artifacts that prospective research may target.
- 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
- ZeitschriftenartikelAnthropomorphic Information Systems(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Pfeuffer, Nicolas; Benlian, Alexander; Gimpel, Henner; Hinz, Oliver
- ZeitschriftenartikelCall for Papers, Issue 1/2021(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Buxmann, Peter; Hess, Thomas; Thatcher, Jason
- 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.
- 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.
- 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
- 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.
- 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.
- ZeitschriftenartikelSimulation-Based Research in Information Systems(Business & Information Systems Engineering: Vol. 61, No. 4, 2019) Beese, Jannis; Haki, M. Kazem; Aier, Stephan; Winter, RobertSimulations provide a useful methodological approach for studying the behavior of complex socio-technical information systems (IS), in which humans and IT artifacts interact to process information. However, the use of simulations is relatively new in IS research and the current presence and impact of simulation-based studies is still limited. Furthermore, simulation-based research is quite different from other approaches, making it difficult to position and evaluate it adequately. Therefore, this paper first analyses the epistemic particularities of simulation-based IS research. Based on this analysis, a structured literature review of the status quo of simulation-based IS research was conducted, to understand how IS scholars currently employ simulation. A comparison of the epistemic particularities of simulation-based research with its status quo in IS literature allows to critically examine epistemic inferences in the respective research process. The results provide guidance for prospective simulation-based IS research through discussing the theory-based derivation of simulation models, as well as different simulation techniques, validation techniques, and simulation uses.