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P244 - DEC 2015 - Digital Enterprise Computing

https://dl.gi.de/handle/20.500.12116/21109
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Auflistung P244 - DEC 2015 - Digital Enterprise Computing nach Titel

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  • Konferenzbeitrag
    Appflation - A phenomenon to be considered for future digital services
    (Digital Enterprise Computing (DEC 2015), 2015) Benzerga, Sheherazade; Pretz, Michael; Riegg, Andreas; Bounfur, Ahmed; Reimann, Wilfried
    In recent years, the society has experienced a remarkable change that induced shifts in behavior of people and companies. This effect is reinforced by the evolution of current and the emergence of new technologies such as Smartphones. In this paper it is aimed to contribute to the establishment of a research area for both academic and industrial researchers on what will be described in the following as appflation. First a brief evaluation of the effects of mobile devices and application services on the ongoing digital transformation and the customer/company relationship is provided. Second a definition of appflation is given and the origin and impact of this phenomenon is analyzed by considering the customer and the company side. This analysis is supported by a survey amongst Smartphone users, generally confirming that amongst a vast number of installed apps only a very small number actually is used. Additionally, this survey was used to briefly analyze the usage behavior of the participants in relation to the so called primary IT trends. Finally, in order to encourage researchers to advance the field future areas of interest are identified and drivers that will affect the appflation phenomenon in the future are outlined.
  • Konferenzbeitrag
    Application of process mining for improving adaptivity in case management systems
    (Digital Enterprise Computing (DEC 2015), 2015) Heber, Eberhard; Hagen, Holger; Schmollinger, Martin
    The character of knowledge-intense processes is that participants decide the next process activities on base of the present information and their expert knowledge. The decisions of these knowledge workers are in general non-deterministic. It is not possible to model these processes in advance and to automate them using a process engine of a BPM system. Hence, in this context a process instance is called a case, because there is no predefined model that could be instantiated. Domain-specific or general case management systems are used to support the knowledge workers. These systems provide all case information and enable users to define the next activities, but they have no or only limited activity recommendation capabilities. In the following paper, we present a general concept for a self-learning system based on process mining that suggests the next best activity on quantitative and qualitative data for a given case. As a proof of concept, it was applied to the area of insurance claims settlement.
  • Konferenzbeitrag
    Automatisiertes Data Discovery innerhalb eines Provisionierungstools
    (Digital Enterprise Computing (DEC 2015), 2015) Bonhorst, Heiko; Kopf, Patrick; Meawad, Fekkry
    Das Provisioning Tool automaIT wurde prototypisch um die Möglichkeit eines Data Discovery erweitert, mit dem Ziel nicht durch automaIT verwaltete Systeme anbinden und steuern zu können. Daten aus dem Data Discovery werden mittels dem Tool Facter gesammelt und können dynamisch in ausführbare Modelle von automaIT integriert und ausgewertet werden. Dadurch kann der Verlauf weiterer Provisionierungsschritte gesteuert werden, ohne dass es eines manuellen Eingriffs bedarf.
  • Konferenzbeitrag
    Bottom-up EA Management Governance using Recommender Systems
    (Digital Enterprise Computing (DEC 2015), 2015) Govedarski, Konstantin; Hauptman, Claudius; Schweda, Christian
    Enterprise Architecture (EA) Management is an activity that seeks to foster the alignment of business and IT, and pursues various goals further operationalizing this alignment. Key to effective EA Management is a framework that defines the roles, activities, and viewpoints used for EA Management in accordance to the concerns that the stakeholders aim to address. Consensus holds that such frameworks are organization-specific and hence they are designed in governance activities for EA Management. As of today, top-down approaches for governance are used to derive organization-specific frameworks. These usually lack systematic mechanisms for improving the framework based on the feedback of the responsible stakeholders. We outline a bottom-up approach for EA Management governance that systematically observes the behavior of the actors to learn user concerns and recommend appropriate viewpoints. With this approach, we complement traditional top-down governance activities.
  • Konferenzbeitrag
    Customer services in the digital transformation: social media versus hotline channel performance
    (Digital Enterprise Computing (DEC 2015), 2015) Rossmann, Alexander; Stei, Gerald
    Due to the digital transformation online service strategies have gained prominence in practice as well as in the theory of service management. This study examines the efficacy of different types of service channels in customer complaint handling. The theoretical framework, developed using complaint handling and social media literature, is tested against data collected from two different channels (hotline and social media) of a German telecommunication service provider. We contribute to the understanding of firm's multichannel distribution strategy in two ways: a) by conceptualizing and evaluating complaint handling quality across traditional and social media channels, and b) by testing the impact of complaint handling quality on key performance outcomes like customer loyalty, positive word-of-mouth, and cross-purchase intentions.
  • Editiertes Buch
  • Konferenzbeitrag
    Disruptive Innovationsmethoden im automotiven Produktentstehungsprozess
    (Digital Enterprise Computing (DEC 2015), 2015) Kornherr, Tim
    Im Rahmen der Vernetzung des Autos drängen neue Wettbewerber in die Automobilindustrie. Mittels disruptiver Innovationsmethoden haben Google, Apple, Facebook und Co. bereits Branchen grundlegend verändert und Marktführer wie Nokia oder Otto innerhalb weniger Jahren abgelöst. Die folgende Arbeit befasst sich mit diesen Methoden und der Fragestellung, wie sie in den automotiven Produktentstehungsprozess integriert werden können, um nachhaltig erfolgreiche Geschäftsmodelle am Markt platzieren zu können.
  • Konferenzbeitrag
    Energiegenossenschaften - Geschäftsmodelle und Wertschöpfungsnetzwerke
    (Digital Enterprise Computing (DEC 2015), 2015) Küller, Philipp; Hertweck, Dieter; Krcmar, Helmut
    Die Energiewende bietet reichlich Fragen für verschiedenste Wissenschaftsdisziplinen einschließlich der Informatik und Wirtschaftsinformatik (WI). Bedauerlicherweise wurde bisher der Bereich der regionalen Energiegenossenschaften und kleinerer Energieversorgungsunternehmen weitgehend von der WI-Forschung vernachlässigt. Der vorliegende Beitrag stellt die aktuelle Situation dieser Organisationen dar und konzentriert sich auf die bestehende Wissenslücke von Ge- schäftsmodellen (GM) für Energiegenossenschaften (EG) als Zusammenschluss aus Privatpersonen oder kleinen Unternehmen, welche primär regionale, erneuerbare Energie produzieren. Die Modellund Theorieentwicklung basiert auf der klassischen Literaturrecherche, Fallstudien in der Energiewirtschaft (EW), sowie grafischer Modellierung. Als Ergebnis wird das Referenzgeschäftsmodell einer EG als morphologischer Business Model Canvas vorgestellt. Dieses singuläre GM wird um die Darstellung des Wertschöpfungsnetzwerks, welches die strukturelle Einbindung der Akteure in das digitale Ökosystem der EG berücksichtigt, erweitert. Das aus der Forschung resultierende Referenzmodell dient der kritischen Überprüfung empirisch vorfindbarer GM und zur weiteren Entwicklung von Unternehmensarchitekturen digitaler Unternehmensverbünde.
  • Konferenzbeitrag
    Enterprise architecture management for the Internet of things
    (Digital Enterprise Computing (DEC 2015), 2015) Zimmermann, Alfred; Schmidt, Rainer; Sandkuhl, Kurt; Jugel, Dierk; Möhring, Michael; Wißotzki, Matthias
    The Internet of Things (IoT) fundamentally influences today's digital strategies with disruptive business operating models and fast changing markets. New business information systems are integrating emerging Internet of Things infrastructures and components. With the huge diversity of Internet of Things technologies and products organizations have to leverage and extend previous enterprise architecture efforts to enable business value by integrating the Internet of Things into their evolving Enterprise Architecture Management environments. Both architecture engineering and management of current enterprise architectures is complex and has to integrate beside the Internet of Things synergistic disciplines like EAM - Enterprise Architecture and Management with disciplines like: services \& cloud computing, semantic-based decision support through ontologies and knowledge-based systems, big data management, as well as mobility and collaboration networks. To provide adequate decision support for complex business/IT environments, it is necessary to identify affected changes of Internet of Things environments and their related fast adapting architecture. We have to make transparent the impact of these changes over the integral landscape of affected EAM-capabilities, like directly and transitively impacted IoT- objects, business categories, processes, applications, services, platforms and infrastructures. The paper describes a new metamodel-based approach for integrating partial Internet of Things objects, which are semi-automatically federated into a holistic Enterprise Architecture Management environment.
  • Konferenzbeitrag
    Evolving enterprise architectures for digital transformations
    (Digital Enterprise Computing (DEC 2015), 2015) Zimmermann, Alfred; Schmidt, Rainer; Jugel, Dierk; Möhring, Michael
    The digital transformation of our society changes the way we live, work, learn, communicate, and collaborate. This disruptive change interacts with all information processes and systems that are important business enablers for the digital transformation since years. The Internet of Things, Social Collaboration Systems for Adaptive Case Management, Mobility Systems and Services for Big Data in Cloud Services environments are emerging to support intelligent usercentered and social community systems. They will shape future trends of business innovation and the next wave of information and communication technology. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self-optimizing and resilient run-time environments for intelligent business services and related distributed information systems with service-oriented enterprise architectures. The present research investigates mechanisms for flexible adaptation and evolution of Digital Enterprise Architectures in the context of integrated synergistic disciplines like distributed service-oriented Architectures and Information Systems, EAM - Enterprise Architecture and Management, Metamodeling, Semantic Technologies, Web Services, Cloud Computing and Big Data technology. Our aim is to support flexibility and agile transformations for both business domains and related enterprise systems through adaptation and evolution of digital enterprise architectures. The present research paper investigates digital transformations of business and IT and integrates fundamental mappings between adaptable digital enterprise architectures and service-oriented information systems.