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This volume constitutes the proceedings of the 4th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling, held in Oslo, Norway, during November 2-3, 2011. The conference series is a dedicated forum where the use of enterprise modeling (EM) in practice is addressed by bringing together researchers, users, and practitioners in order to develop a better understanding of the practice of EM, to contribute to improved industrial EM applications, and to share knowledge and experiences. The 18 papers presented were carefully reviewed and selected from 38 submissions. Authored by both researchers and practitioners, they reflect the fact that EM encompasses human, organizational issues as well as technical aspects related to the development of information systems. The papers are organized in five thematic sessions on process modeling, business modeling, enterprise architecture, EM, and model-driven development. In addition, two keynotes on EM in an agile world and on intra- and inter-organizational process mining complete the volume.
This book constitutes the refereed proceedings of the 9th International Conference on Smart Homes and Health Telematics, ICOST 2011, held in Montreal, Canada, in June 2011. The 25 revised full papers presented together with 16 short papers and 8 student papers were carefully reviewed and selected from 94 submissions. The papers are organized in topical sections on smart home and village; health telematics and healthcare technology; wellbeing, ageing friendly and enabling technology; and medical health telematics and healthcare technology.
Calling for future law reform, Burdon questions if you will have privacy in a world of ubiquitous data collection.
This book constitutes the refereed proceedings of the 15th International Conference on Electronic Commerce, ICEC 2013, held in Turku, Finland, in August 2013. The theme of ICEC 2013 was "effective, agile, and trusted e-services co-creation” and reflects the alignment between computerized, formalized business procedures with the need to flexibly adapt and innovate businesses on the spot according to changing customer needs and requirements. The 13 papers published in this book were carefully reviewed and selected from more than 50 submissions, resulting in an acceptance rate of less than 25%. They are organized in topical sections on online advertisements and referential systems, recommender systems and pricing, social media, mobile services, business models, and societal implications.
The rapid development in the area of sensor technology has been responsible for a number of societal phenomena like UGC (User Generated Content) or QS (Quantified Self). Machine learning algorithms benefit a lot from the availability of such huge volumes of digital data. For example, new technical solutions for challenges caused by the demographic change (ageing society) can be proposed in this way, especially in the context of healthcare systems in industrialised countries. The goal of this book is to present selected algorithms for Visual Scene Analysis (VSA, processing UGC) as well as for Human Data Interpretation (HDI, using data produced within the QS movement) and to expose a joint methodological basis between these two scientific directions. While VSA approaches have reached impressive robustness towards human-like interpretation of visual sensor data, HDI methods are still of limited semantic abstraction power. Using selected state-of-the-art examples, this book shows the maturity of approaches towards closing the semantic gap in both areas, VSA and HDI.
The 2016 International Conference on Computer Science, Technology and Application (CSTA2016) were held in Changsha, China on March 18-20, 2016. The main objective of the joint conference is to provide a platform for researchers, academics and industrial professionals to present their research findings in the fields of computer science and technology.The CSTA2016 received more than 150 submissions, but only 67 articles were selected to be included in this proceedings, which are organized into 6 chapters; covering Image and Signal Processing, Computer Network, Algorithm and Simulation, Data Mining and Cloud Computing, Computer Systems and Application, Mathematics and Management.
In many entrepreneurial projects, the concept of the business model (BM) is used to describe a business idea at a high-level and in a holistic way. However, existing literature pays less attention to implementation (or execution) of BM. Implementation becomes more complex when a BM is proposed by or requires a network of collaborating enterprises. The aim of this paper is to provide an approach based on empirical research that supports BM transition from design to implementation. The empirical data used in this paper is based on a case study involving an innovative project in the pharmaceutical sector in Finland. The case analysis demonstrates how a high-level BM needs careful consideration of its operational components from a network perspective to secure both value creation and capture. Drawing on the analysis, six concluding propositions on BM implementation in networked settings are put forward.
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