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organized by Austrian Computer Society Austrian Computer Society

Keynotes

Keynotes Tuesday


  • José Tribolet: Enterprise Engineering

    Technical University of Lisbon, Portugal

    Abstract: Enterprise Cartography is a fundamental artifact for Enterprise Governance as it materializes key holistic aspects of the Observer and the Modeler components of the Enterprise´s feed-back control loop, which is always present in a dynamic system. Enterprise Cartography (EC) artifacts provide representations of AS-WAS, AS-IS and TO-BE views of an Organization. These Views are generated in run-time, out of data collected from the organization´s enacted reality. We have learned from real cases in real organizations a set of fundamental lessons, some of which may be counter-intuitive: (i) The AS-IS of an organization includes its current state, the foreseen future states, as well as the remembered past states. (ii) Organization Transformation Plans (Projects Plans) are fundamental organizational artifacts. (iii) Planning the Transformation of an Organization requires mostly the assessment of TO-BE states. (iv) The fastest an organization changes, the more useless a complete and detailed AS-IS assessment of the organization becomes. (v) Organization TO-BE foreseen states precede AS-IS states.


  • Stéphane Marchand-Maillet: From Data to Knowledge: Large-scale Information Management and Analysis in Business Informatics

    University of Geneva, Switzerland

    Abstract: Modern communication networks have fueled the creation of massive volumes of data that may be valued as relevant information for Business Processes. We review the large scope of the technologies available and necessary to leverage the content of this Big Data. We start from the data itself and move onto the perspective of the end user. We discuss associated challenges and highlight the parallels brought by the overlap of these views. We show how the trend of Big Data is related to data security and user privacy. We then investigate automated ways of performing data analysis, for Business Intelligence. We finally review how groups of users may be seen as a workforce in Business through the notion of Human Computation or crowdsourcing, associated with the notions of trust and reputation.


  • Takayuki Ito: Social & Frontier Technologies

    Nagoya Institute of Technology, Japan

    Abstract: The target of multi-agent system (MAS) research is society. As the target of artificial intelligence (AI) research is human intelligence, MAS research seeks to reveal a society’s intelligence and to construct tools that support it. It is a crucial worldwide problem that our existing social systems and mechanisms fail to harness and manage environmental changes. This is because the existing social systems are not *globally* optimized, although much effort has been made to partially optimize some *parts* of these social systems and mechanisms. This research tackles the grand challenge of establishing MAS-based social-mechanism design theories with a focus on developing novel social systems that are globally optimized, and applies them to societal simulations and real-world applications. In particular, we focus on pricing mechanisms, matching mechanisms, and scoring mechanisms with computing power and network infrastructures. The methodology developed will be applied to smart grid, congestion management, and sensor networks.

Keynotes Wednesday


  • Frank Harmsen: Enterprise Transformation

    Ernst & Young EMEIA Center of Excellence IT Transformation, Maastricht University and Free University Amsterdam, Netherlands

    Abstract: Enterprises of the 21st century continue to develop their profile into an even more complex assembly. Due to increasing environmental turbulences and deliberate changes, researchers and practitioners need to acknowledge that Enterprise Transformations are a multidimensional and complex interplay between different factors. This presentation categorizes various dimensions into a model of change, which has its roots in the sociology literature. Four different aspects are elaborated in this model for analyzing change: origin, type, momentum and trajectory. Those interwoven aspects incorporate various details in the sociotechnical, management science and enterprise engineering literature. We provide an example how transformative actions can be approached by looking into the case of Nokia Corporation between the years 2008 and 2012.


  • Eng Chew: Service Innovation for the Digital World

    Sydney University of Technology, Australia

    Abstract: In the increasingly digital world, information technologies are “liquefying” physical assets into information resources and transforming the firm into a value-creating service system as part of a network of economic actors (customers and partners). The firm must excel in service innovation in order to be able to seamlessly collaborate with other economic actors to co-create sustained value. This keynote describes the foundational principles and conceptual building blocks of the customer-centric service innovation (SI) practice, as well as the resultant integrated framework of SI design practices for customer value co-creation. The nexus of service strategy, service concept and business model for assuring commercialization is also elaborated. The requisite SI models and processes to systematize innovation practice are reviewed. The emergent practices of customer and community participation across the whole SI lifecycle of a digital world are explicated, together with the requisite strategic management practices for successful service innovation.


  • Thomas Setzer: Data-Driven Service and Market Engineering

    Karlsruhe Institute of Technology, Germany

    Abstract: Today, the frontier for using data to make business decisions has shifted, and high-performing service companies are building their competitive strategies around data-driven insights that produce impressive business results. In principle, the ever-growing amount of available data would allow for deriving increasingly precise forecasts and optimized input for planning and decision models. However, the complexity resulting from considering large volumes of high-dimensional, fine-grained, and noisy data in mathematical models leads to the fact that dependencies and developments are not found, algorithms do not scale, and traditional statistics as well as data-mining techniques collapse because of the well-known curse of dimensionality. Hence, in order to make big data actionable, we are interested in the intelligent reduction of vast amounts of data to problem-relevant features and aim for research at the intersection of economic theories, service management, dimensionality reduction, advanced analytics, robust prediction, and computational methods to solve managerial decisions and planning.

Keynotes Thursday


  • Jorge Sanz: Enabling Customer Experience and Front-Office Transformation through Business Process Engineering

    IBM Research, USA

    Abstract: Business process has been traditionally circumscribed to the industrialization of enterprise operations. Indeed, Business Process Management (BPM) has focused on relatively mature operations, with the goal of improving performance through automation. In today’s world of customer-centricity and individualized processes, the richest source of economic value-creation comes from enterprise-customer contacts. Consequently, process has recently moved out of its traditional court and is becoming prevalent in competences such as marketing, customer-relationship management, campaign monitoring, multi-channel management, brand management, etc. These are significant areas of customer-enterprise co-creation activity where emerging work-patterns call for innovation, technology to support human creativity, and overall, enterprise differentiation. While BPM will continue to contribute to the factory of enterprises, Business Process Engineering is chartered to provide a holistic approach to the life-cycle of enterprise-customers value-creation, including the transformation of Front-Office Operations. More broadly, Business Process Engineering fosters a new space launched by IEEE Business Informatics for the multi-disciplinary study of process combining organizational behavior, information management, people and technology.


  • Erik Proper: Enterprise Architecture Management;Towards essential and coherent sensemaking

    Public Research Centre Henri Tudor, Luxembourg

    Abstract: Abstract: In this presentation we discuss our view on the past and future of enterprise architecture management. We will do so by characterizing both its past and anticipated future in terms of a number of trends. For example, the shift from information systems to enterprises, from Business-IT stack centricity to coherence, from a construction oriented focus to a constraint oriented focus, and from intuition based decision-making to evidence based decision-making. Based on these trends, we then discuss our current understanding of the future concept and role of enterprise architecture, as well as ensuing challenges for further research.


  • Ulrich Frank: Enterprise Modelling: The Next Steps

    University Duisburg-Essen, Germany

    Abstract: Enterprise modelling is at the core of Information Systems and has been a subject of intensive research for about two decades. While the current state of the art shows signs of modest maturity, research is still facing substantial challenges. On the one hand, they relate to shortcomings of our current knowledge. On the other hand, they are related to opportunities of enterprise modelling that have not been sufficiently addressed so far. This talk will give a personal view of future research on enterprise modelling. It includes requests for solving underestimated problems and proposes additional topics that promise to promote enterprise models as more versatile tools for collaborative problem solving. In addition to that, the paper presents requests for (re-) organising research on enterprise modelling in order to increase the impact of the field.