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P272 - DEC 2017 - Digital Enterprise Computing

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  • Editiertes Buch
    Digital Enterprise Computing (DEC 2017)
    (Digital Enterprise Computing (DEC 2017), 2017)
  • Textdokument
    Open Integration of Digital Architecture Models for Micro-granular Systems and Services
    (Digital Enterprise Computing (DEC 2017), 2017) Zimmermann, Alfred; Schmidt, Rainer; Sandkuhl, Kurt; Jugel, Dierk; Bogner, Justus; Möhring, Michael
    The digital transformation of our society changes the way we live, work, learn, communicate, and collaborate. This disruptive change drive current and next information processes and systems that are important business enablers for the context of digitization since years. Our aim is to support flexibility and agile transformations for both business domains and related information technology with more flexible enterprise information systems through adaptation and evolution of digital architectures. The present research paper investigates the continuous bottom-up integration of micro-granular architectures for a huge amount of dynamically growing systems and services, like Microservices and the Internet of Things, as part of a new composed digital architecture. To integrate micro-granular architecture models into living architectural model versions we are extending enterprise architecture reference models by state of art elements for agile architectural engineering to support digital products, services, and processes.
  • Textdokument
    Digital Transformation in Higher Education – The Role of Enterprise Architectures and Portals
    (Digital Enterprise Computing (DEC 2017), 2017) Sandkuhl, Kurt; Lehmann, Holger
    Digital transformation is considered as one of the mega-trends in industry and the public sector. One of the sectors with potential for digital transformation is higher education in universities and university colleges. Many universities and schools developed digitization strategies and new kinds of offerings for their traditional target groups and for new, non-traditional target groups. However, digitization and digital strategies often are limited to digitizing the content of lectures and to opening access to education modules by offering them online. We argue that digitization strategies should include a wider focus and propose that enterprise architecture management could provide an important contribution in structuring digitization efforts and that enterprise or knowledge portals could play a role for implementing the strategies.
  • Textdokument
    The potential of Artificial Intelligence in academic research at a Digital University
    (Digital Enterprise Computing (DEC 2017), 2017) Exner-Stöhr, Melanie; Kopp, Alexander; Kühne-Hellmessen, Leonhard; Oldach, Lukas; Roth, Daniela; Zimmermann, Alfred
    Steady growing research material in a variety of databases, repositories and clouds make academic content more than ever hard to discover. Finding adequate material for the own research however is essential for every researcher. Based on recent developments in the field of Artificial Intelligence and the identified digital capabilities of future universities a change in the basic work of academic research is predicted. This study defines the idea of how Artificial Intelligence could simplify academic research at a Digital University. Today’s studies in the field of AI spectacle the true potential and its commanding impact on academic research.
  • Textdokument
    Data Architecture for Digital Health Insurances
    (Digital Enterprise Computing (DEC 2017), 2017) Degele, Jutta; Hain, Julia; Kinitzki, Valeria; Krauß, Sascha; Kühfuß, Peter; Sigle, Natascha
    The increasing number of connected mobile devices such as fitness trackers and smartphones define new data sources for health insurances, enabling them to gain deeper insights into the health of their customers. These additional data sources plus the trend towards an interconnected health community, including doctors, hospitals and insurers, lead to challenges regarding data filtering, organization and dissemination. First, we analyze what kind of information is relevant for a digital health insurance. Second, functional and non-functional requirements for storing and managing health data in an interconnected environment are defined. Third, we propose a data architecture for a digitized health insurance, consisting of a data model and an application architecture.
  • Textdokument
    Smart Meter based Business Models for the Electricity Sector - A Systematical Literature Research
    (Digital Enterprise Computing (DEC 2017), 2017) Bischoff, Daniel; Kinitzki, Martin; Wilke, Tim; Zeqiraj, Flamur; Zivkovic, Sanja; Koppenhöfer, Christine; Fauser, Jan; Hertweck, Dieter
    The Act on the Digitization of the Energy Transition forces German industries and households to introduce smart meters in order to save energy, to gain individual based electricity tariffs and to digitize the energy data flow. Smart meter can be regarded as the advancement of the traditional meter. Utilizing this new technology enables a wide range of innovative business models that provide additional value for the electricity suppliers as well as for their customers. In this study, we followed a two-step approach. At first, we provide a state-of-the-art comparison of these business models found in the literature and identify structural differences in the way they add value to the offered products and services. Secondly, the business models are grouped into categories with respect to customer segments and the added value to the smart grid. Findings indicate that most business models focus on the end-consumer as their main customer.
  • Textdokument
    Digitization of Decentralized Corporate Energy Systems: Supportive best-practiced methods for the energy domain
    (Digital Enterprise Computing (DEC 2017), 2017) Koppenhöfer, Christine; Fauser, Jan; Hertweck, Dieter
    Digitization in the energy sector is a necessity to enable energy savings and energy efficiency potentials. Managing decentralized corporate energy systems is hindered by a non-existence. The required integration of energy objectives into business strategy creates difficulties resulting in inefficient decisions. To improve this, practice-proven methods such as Balanced Scorecard, Enterprise Architecture Management and the Value Network approach are transferred to the energy domain. The methods are evaluated based on a case study. Managing multi-dimensionality, high complexity and multiple actors are the main drivers for an effective and efficient energy management system. The underlying basis to gain the positive impacts of these methods on decentralized corporate energy systems is digitization of energy data and processes.
  • Textdokument
    Comparison of Business Model Development Frameworks with regard to IoT
    (Digital Enterprise Computing (DEC 2017), 2017) Kinitzki, Martin; Hertweck, Dieter
    With the Internet of Things being one of the most discussed trends in the computer world lately, many organizations find themselves struggling with the great paradigm shift and thus the implementation of IoT on a strategic level. The Ignite methodology as a part of the Enterprise-IoT project promises to support organizations with these strategic issues as it combines best practices with expert knowledge from diverse industries helping to create a better understanding of how to transform into an IoT driven business. A framework that is introduced within the context of IoT business model development is the Bosch IoT Business Model Builder. In this study the provided framework is compared to the Osterwalder Business Model Canvas and the St. Gallen Business Model Navigator, the most commonly used and referenced frameworks according to a quantitative literature analysis.
  • Textdokument
    Implementation Strategies for Enterprise Social Networks
    (Digital Enterprise Computing (DEC 2017), 2017) Stei, Gerald; Rossmann, Alexander
    In recent times, enterprises have been increasingly dealing with the use of social media in internal communication and collaboration. In particular, so-called Enterprise Social Networks (ESN), promise meaningful benefits for the nature of work in corporations. However, these plat-forms often suffer from poor degrees of use. This raises the question of what initiatives enterprise can launch in order to stimulate the vitality of ESN. Since the use of ESN is often voluntary, individual adoption by employees need to be examined to find an answer. Therefore, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was selected for the theoretical foundation of this paper. Following a qualitative research approach, the available research provides an analysis of expert interviews on specific ESN implementation strategies and included factors. In order to extensively conceptualize and generalize these strategic considerations, we conducted an inductive coding process. The results reveal that ESN implementation strategies can be understood as a multi-level construct (individual vs. group vs. organizational level) containing different factors dependent on the degree of documentation and intensity. This research in progress describes a qualitative evaluation as a preliminary study for further quantitative analysis of an ESN adoption model.
  • Textdokument
    A Product-Service System Proposal for Agile Modelling Method Engineering on Demand: ADOxx.org
    (Digital Enterprise Computing (DEC 2017), 2017) Efendioglu, Nesat; Woitsch, Robert; Utz, Wilfrid; Falcioni, Damiano
    The importance of Modelling Method Engineering is equally rising with the importance of domain specific modelling methods and individual modelling approaches. In order to capture the most relevant semantic primitives that address domain specifics needs, it is necessary to involve both, method engineers as well as domain experts. Due to complexity of conceptualization of a modelling method and development of regarding modelling tool, there is a need of a guideline-, corresponding tools- and services-bundle supporting actors with different background along this complex process. Based on practical experience in business, more than twenty EU projects and other research initiatives, this paper introduces a product-service system to support the conceptualization of a modelling method on demand. The proposed product-service system is introduced and evaluated by three EU-funded research projects in the domain of multi-stage manufacturing, e-learning and cloud computing as well as additionally by an in-house development project in the area of decision modelling extensions. The paper discusses the evaluation results and derived outlooks.