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Auflistung EMISAJ Vol. 09 - 2014 nach Erscheinungsdatum
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- ZeitschriftenartikelBig Data Management and Analysis for Business Informatics - A Survey(Enterprise Modelling and Information Systems Architectures - An International Journal: Vol. 9, Nr. 1, 2014) Marchand-Maillet, Stéphane; Hofreiter, BirgitModern communication networks have fueled the creation of massive volumes of data that may be valued as relevant information for business activities. In this paper, we review technologies for enabling and empowering business activities, leveraging the content of this big data. We distinguish between data- and user-related technologies, and study the parallel brought by the overlap of these categories. 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. We conclude by discussing emerging trends in the domain.
- ZeitschriftenartikelEnabling Front-Office Transformation and Customer Experience through Business Process Engineering(Enterprise Modelling and Information Systems Architectures - An International Journal: Vol. 9, Nr. 1, 2014) Sanz, Jorge L.The scope of business processes has been traditionally circumscribed to the industrialisation of enterprise operations. Indeed, Business Process Management (BPM) has focused on relatively mature operations, with the goal of improving performance through automation. However, in today’s world of customer-centricity and individualised services, the richest source of economic value-creation comes from enterprise-customer contacts beyond transactions. The need to make sense of a mass of such touch-points makes process a prevalent and emerging concept in the Front- Office of enterprises, including organisational competences such as marketing operations, customer-relationship management, campaign creation and monitoring, brand management, sales and advisory services, multichannel management, service innovation and management life-cycle, among others. While BPM will continue to make important contributions to the factory of enterprises, the engineering of customer-centric business processes defines a new field of multi-disciplinary work focused on serving customers and improving their experiences. This new domain has been dubbed Business Process Engineering (BPE) in the concert of IEEE Business Informatics. This paper addresses the main characteristics of BPE in comparison with traditional BPM, highlights the importance of process in customer experience as a key goal in Front-Office transformation and suggests a number of new research directions. In particular, the domains of process and information remain today disconnected. Business Informatics is about the study of the information process in organisations and thus, reuniting business process and information in enterprises is a central task in a Business Informatics approach to engineering processes. Among other activities, BPE is chartered to close this gap and to create a suitable business architecture for Front-Office where organisational and customer behaviour should guide and benefit from emerging data analytics techniques.
- ZeitschriftenartikelEditorial(Enterprise Modelling and Information Systems Architectures - An International Journal: Vol. 9, Nr. 1, 2014) Hofreiter, Birgit; Huemer, Christian
- ZeitschriftenartikelService Innovation for the Digital World(Enterprise Modelling and Information Systems Architectures - An International Journal: Vol. 9, Nr. 1, 2014) Chew, Eng K.The foundational principles and conceptual building blocks of customer-centric service innovation (SI) practice are explained, and a resultant integrated framework of SI design practices for customer value co-creation is synthesised. The nexus of service strategy, service concept and business model is identified to assure SI commercialisation. The requisite SI models and processes to systematise the innovation practice are reviewed. The emergent practices of customer and community participation, in a digital world, across the firm’s entire SI lifecycle are explicated, together with the requisite strategic management practices for successful service innovation.
- ZeitschriftenartikelEnterprise Architecture - Towards essential sensemaking(Enterprise Modelling and Information Systems Architectures - An International Journal: Vol. 9, Nr. 1, 2014) Proper, Henderik; Lankhorst, Marc M.In this position paper, we discuss our view on the past and future of the domain of enterprise architecture. We will do so, by characterising the past, and anticipated future, in terms of a number of trends. Based on these trends, we then discuss our current understanding of the future concept and role of enterprise architecture. We conclude by suggesting vantage points for future research in the field of enterprise architecture.
- ZeitschriftenartikelEnterprise Modelling: The Next Steps(Enterprise Modelling and Information Systems Architectures - An International Journal: Vol. 9, Nr. 1, 2014) Frank, UlrichEnterprise 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 paper presents 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.
- ZeitschriftenartikelThe Role of Enterprise Governance and Cartography in Enterprise Engineering(Enterprise Modelling and Information Systems Architectures - An International Journal: Vol. 9, Nr. 1, 2014) Tribolet, José; Sousa, Pedro; Caetano, ArturEnterprise artography is fundamental to govern the transformation processes of an organisation. The artefacts of enterprise cartography represent the structure and dynamics of an organisation from three temporal views: as-was (past), as- is (present), and to-be (future). These views are dynamically generated from a continuous process that collects operational data from an organisation. This paper defines a set of enterprise cartography principles and provides an account of its role in understanding the dynamics of an organisation. The principles are grounded on control theory and are defined as a realisation of the observer and modeller components of the feedback control loop found on dynamic systems. As a result, an organisation can be abstracted as a dynamic system where a network of actors collaborate and produce results that can be depicted using cartographic maps.
- ZeitschriftenartikelData-Driven Decisions in Service Engineering and Management(Enterprise Modelling and Information Systems Architectures - An International Journal: Vol. 9, Nr. 1, 2014) Setzer, ThomasToday, 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 optimised 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, the intelligent reduction of vast amounts of data to problemrelevant features is necessary and advances are required at the intersection of economic theories, service management, dimensionality reduction, advanced analytics, robust prediction, and computational methods to solve managerial decisions and planning problems.