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Auflistung nach Autor:in "Zarvic, Novica"

1 - 8 von 8
  • Zeitschriftenartikel
    „Agile“ – Nur ein Buzzword?
    (Wirtschaftsinformatik & Management: Vol. 11, No. 4, 2019) Barenkamp, Marco; Thomas, Oliver; Zarvic, Novica
  • Konferenzbeitrag
    Continuous auditing in big data computing environments: towards an integrated audit approach by using caatts
    (Informatik 2014, 2014) Kiesow, Andreas; Zarvic, Novica; Thomas, Oliver
    Through the risen operating of autonomous and automated Accounting Information System (AIS), enterprises are increasingly faced with the growing size of accounting-relevant data. Therefore, the audit's purpose, which is namely to examine the true and fair view of financial statements, is heavily increasing in complexity. To cover the requirements to AIS in Big Data Computing Environments, we strive for the development of a Continuous Auditing (CA) approach. Since, the implementation of CA is a recognized challenge among researchers and practitioners, and traditional audit tools and techniques neglect the potential of Big Data Analytics, we strive for the development of appropriate computer-assisted audit tools and techniques (CAATTs). Therefore, we analyzed established CAATTs considering the dimensions of the Big Data paradigm in this paper. To do so, we analyzed relevant literature and viewpoints of occupational organizations. This led us to a first proposal of a conceptual architecture for the integrated audit approach. We conclude this paper with a critical discussion and emphasize implications for further work.
  • Konferenzbeitrag
    Designing a risk-based partner selection process for collaborative cloud computing environments
    (Enterprise modelling and information systems architectures (EMISA 2011), 2011) Martens, Benedikt; Zarvic, Novica; Teuteberg, Frank; Thomas, Oliver
    Cloud Computing represents a shift in technology and IT (information technology) service management and it opens up possibilities to build new organizational configurations. As in IT outsourcing, the selection of the right partner/vendor is of crucial importance. Thus, in this article we present a partner selection process for four Cloud Computing Environments: public cloud, community cloud, cloud chain and industrial cloud. We included data sensitivity and the risk attitude of the decision maker as major decision factors for partner selection. The constructed IT artifact (i.e. partner selection process) is evaluated by means of a conceptual evaluation (expert interviews) that demonstrates the applicability of the selection process.
  • Zeitschriftenartikel
    Global Crises and the Role of BISE
    (Business & Information Systems Engineering: Vol. 62, No. 4, 2020) Thomas, Oliver; Hagen, Simon; Frank, Ulrich; Recker, Jan; Wessel, Lauri; Kammler, Friedemann; Zarvic, Novica; Timm, Ingo
  • Zeitschriftenartikel
    IoT Best Practices
    (HMD Praxis der Wirtschaftsinformatik: Vol. 56, No. 6, 2019) Barenkamp, Marco; Schoenke, Jan; Zarvic, Novica; Thomas, Oliver
    Das Internet der Dinge treibt die Digitalisierung in vielen Lebensbereichen und vor allem in der Industrie stark voran. Dabei ergeben sich eine Vielzahl von neuen und verbesserten Anwendungsszenarien und Geschäftsmodellen. Getrieben durch die (theoretisch) unbegrenzten Möglichkeiten der Umsetzung, müssen besonders in der Planung zentrale Sachverhalte vorab evaluiert und bewertet werden, um in Bereichen wie Sicherheit, Betriebsfähigkeit, Skalierung, Wirtschaftlichkeit sowie Geschäftsmodell eine bestmögliche Qualität zu erreichen. Wir geben einen Überblick über die Bedeutung und Zusammenhänge dieser verschiedenen Aspekte und zeigen an einem internationalen IIoT-Projekt konkrete Fallstricke und die getroffenen Gegenmaßnahmen auf. Auf Basis dieser Erkenntnisse geben wir Empfehlungen an Best Practices ab, um neu zu beginnende IoT Projekte zukünftig zielgerichtet planen zu können. The Internet of Things is driving forward digitalization in many areas of life and especially in industry. This results in a large number of new and improved application scenarios and business models. Driven by the (theoretically) unlimited possibilities of implementation, central issues in particular must be evaluated in advance in order to achieve the best possible quality in areas such as security, operability, scaling, cost-effectiveness and business model. We give an overview of the significance and interrelations of these different aspects and point out specific pitfalls and the mitigations taken in an international IoT project in order to recommend best practices to plan new IIoT projects in a more sophisticated way.
  • Konferenzbeitrag
    Ontology-Based Assistance for Semi-Formal Process Modeling
    (Enterprise Modelling and Information Systems Architectures (EMISA 2013), 2013) Fellmann, Michael; Zarvic, Novica; Sudau, Annelene
    The construction of semi-formal process models is a difficult task due to the complexity of today's business processes. In this contribution, we devise an ontology-based assistant for semi-formal process modeling. The assistant is intended to support the modeler in creating high quality process models with less time and effort by reusing knowledge captured in a reference ontology. At first, we derive functionalities for such an assistant. We then show how the approach can be implemented and integrated into an existing modeling tool. Finally, we describe an experimental evaluation of the approach.
  • Zeitschriftenartikel
    Process Modeling Recommender Systems - A Generic Data Model and Its Application to a Smart Glasses-based Modeling Environment
    (Business & Information Systems Engineering: Vol. 60, No. 1, 2018) Fellmann, Michael; Metzger, Dirk; Jannaber, Sven; Zarvic, Novica; Thomas, Oliver
    The manual construction of business process models is a time-consuming, error-prone task and presents an obstacle to business agility. To facilitate the construction of such models, several modeling support techniques have been suggested. However, while recommendation systems are widely used, e.g., in e-commerce, these techniques are rarely implemented in process modeling tools. The creation of such systems is a complex task since a large number of requirements and parameters have to be taken into account. In order to improve the situation, the authors have developed a data model that can serve as a backbone for the development of process modeling recommender systems (PMRS). This article outlines the systematic development of this model in a stepwise approach using established requirements and validates it against a data model that has been reverse-engineered from a real-world system. In a last step, the paper illustrates an exemplary instantiation of the data model in a Smart Glasses-based modeling environment and discusses business process agility issues. The authors expect their contribution to provide a useful starting point for designing the data perspective of process modeling recommendation features that support business agility in process-intensive environments.
  • Zeitschriftenartikel
    Requirements Catalog for Business Process Modeling Recommender Systems.
    (EMISA Forum: Vol. 36, No. 2, 2016) Fellmann, Michael; Zarvic, Novica; Metzger, Dirk; Koschmider, Agnes