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P244 - DEC 2015 - Digital Enterprise Computing

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  • Konferenzbeitrag
    I*Gov a feeling - ein studienportal für das interaktive heute
    (Digital Enterprise Computing (DEC 2015), 2015) Breu, Manuel; Berndl, Klaus; Heimann, Thomas
    In Deutschland ist der Weg vom Studieninteressenten zum Studenten geprägt von redundanten Datenerfassungen, vielfältigen Anlaufstationen und komplexen Prozessen. Dieses Beispiel ist symptomatisch für viele weitere digitale Leistungsangebote der öffentlichen Hand. Eine niedrige Akzeptanzrate des eGovernments in der Bevölkerung ist damit kaum verwunderlich. Das Rahmenwerk i*Gov liefert Konstruktionsprinzipien um digitale Leistungsangebote so zu gestalten, wie sie der Bürger erwartet. Dieses Positionspapier skizziert ein interaktives, nutzerorientiertes Studienportal, das sich an diesen Konstruktionsprinzipien orientiert.
  • Konferenzbeitrag
    Feasibility of Bluetooth ibeacons for indoor localization
    (Digital Enterprise Computing (DEC 2015), 2015) Estel, Marcel; Fischer, Laura
    Location-based Services in buildings represent a great advantage for people to search places, products or people. In our paper we examine the feasibility of Bluetooth iBeacons for indoor localization. In the first part we define and evaluate the iBeacon technology through different experiments. In the second part our solution application is described. Our system is able to estimate the position of the user's smartphone based on RSSI measurements. Therefore we used the built-in smartphone sensor and a building map with required sender information. Trilateration is used as positioning technique in contrast to fingerprinting to minimize beforehand effort. Results are promising but cannot reach the same accuracy level as sensor-fusion or fingerprinting approaches.
  • Konferenzbeitrag
    Sales 2.0 in business-to-business (B2B) networks: conceptualization and impact of social media in B2B sales relationship
    (Digital Enterprise Computing (DEC 2015), 2015) Rossmann, Alexander; Stei, Gerald
    In recent years, the rise of the digital transformation received significant importance in Business-to-Business (B2B) research. Social media applications provide executives with a raft of new options. Consequently, interfaces to social media platforms have also been integrated into B2B salesforce applications, although very little is as yet known about their usage and general impact on B2B sales performance. This paper evaluates 1) the conceptualization of social media usage in a dyadic B2B relationship; 2) the effects of a more differentiated usage construct on customer satisfaction; 3) antecedents of social media usage on multiple levels; and 4) the effectiveness of social media usage for different types of customers. The framework presented here is tested cross-industry against data collected from dyadic buyer-seller relationships in the IT service industry. The results elucidate the preconditions and the impact of social media usage strategies in B2B sales relations.
  • Konferenzbeitrag
    Herausforderungen der Projektfertigung - eine Fallstudie zur Informationsbedarfsanalyse
    (Digital Enterprise Computing (DEC 2015), 2015) Brümmel, Steffen; Schößler, Martin; Lantow, Birger
    Insbesondere bei Standardlösungen für ERP-Systeme gestaltet sich die Abbildung der fachlichen bzw. technologischen Zusammenhänge der Projektfertigung im ERP-System schwierig. Mit wechselnden Anforderungen in einer Vielzahl von Projekten stoßen die Systeme an die Grenzen ihrer Flexibilität. Ein Großteil der wesentlichen Informationen zu Fertigungsprojekten liegt außerhalb des ERP-Systems. Mit dem Fernziel einer Assistenzfunktion zur Planungsunterstützung in der Projektfertigung, stellt diese Arbeit exemplarisch die Durchführung einer Analyse zur Informationsbedarfsermittlung nach Lundqvist et al. dar. Ergebnisse sind der Nachweis der grundsätzlichen An- wendbarkeit dieser Methode für dieses Ziel, Erfahrungen bei der Anwendung und Analyseergebnisse sowohl für den konkreten Fall als auch in verallgemeinerter Form.
  • 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
    On practical implications of trading ACID for CAP in the big data transformation of enterprise applications
    (Digital Enterprise Computing (DEC 2015), 2015) Tönne, Andreas
    Transactional enterprise applications today depend on the ACID property of the underlying database. ACID is a valuable model to reason about concurrency and consistency constraints in the application requirements. The new class of NoSQL databases that is used at the foundation of many big data architectures drops the ACID properties and especially gives up strong consistency for eventual consistency. The common justification for this change is the CAP- theorem, although general scalability concerns are also noted. In this paper we summarize the arguments for dropping ACID in favour of a weaker consistency model for big data architectures. We then show the implications of the weaker consistency for the business customer and his requirements when a transactional Java EE application is transformed to a big data architecture.
  • 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.
  • Konferenzbeitrag
    Experiencing adaptive case management capabilities with cognoscenti
    (Digital Enterprise Computing (DEC 2015), 2015) Collenbusch, Danielle; Sauter, Anja; Tastekil, Ipek; Uslu, Denise
    In a world with rapidly changing customer requirements and the increased role of technology, companies need more flexible systems to adapt their processes and react dynamically to changes. Adaptive Case Management (ACM) comes into consideration by providing a concept to adapt to changing business conditions. Within our research project we did a first foundational evaluation of the potential of ACM in supporting unpredictable sales processes. Based on a set of criteria we tested the concept of ACM with the open source tool Cognoscenti. The evaluation gave us the possibility to experience the concept of ACM. Hence we were able to provide a statement about the potential of ACM within the context of an unpredictable sales process, setting the path to further research and discussion of ACM in the area of sales processes.
  • Konferenzbeitrag
    Using feature construction for dimensionality reduction in big data scenarios to allow real time classification of sequence data
    (Digital Enterprise Computing (DEC 2015), 2015) Schaidnagel, Michael; Laux, Fritz; Connolly, Thomas
    A sequence of transactions represents a complex and multi-dimensional type of data. Feature construction can be used to reduce the dataś dimensionality to find behavioural patterns within such sequences. The patterns can be expressed using the blue prints of the constructed relevant features. These blue prints can then be used for real time classification on other sequences.
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