Abstract
Emerging technologies represent a major innovation that offers significant advances to both private and public organizations. Examples of these technologies are the “Blockchain technology” which combines cryptographic mechanisms and peer-to-peer (P2P) architecture and “Smart Data Discovery” combining artificial intelligence and analytics. The importance of these emerging technologies requires the use of evalua-tion methods in order to understand their contribution and the associat-ed risks. The objective of this article is to propose a method supporting the evaluation of emerging technologies. A guidance approach is pro-posed. It is based on the recognition that emerging technologies are complex systems. Our approach combines three conceptual frame-works: the underlying theory of complex information systems, systems theory, and the ISO 25001 standard devoted to software quality. We propose a multi-criteria hierarchy which serves as the basis for the eval-uation. To illustrate this approach, we apply it to the particular cases of “Blockchain” technology and “Smart Data Discovery”.
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Acknowledgements
Professor A. Olivé has played an important role in conceptual modeling with a concern to evaluate his contributions. We would like to pay tribute to him for his role as a researcher and educator by proposing a method for evaluating emerging technologies, knowing his interest in these technologies and their evaluation.We are grateful to him for all he has contributed to our conceptual modeling community.
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Akoka, J., Comyn-Wattiau, I. (2017). A Method for Emerging Technology Evaluation. Application to Blockchain and Smart Data Discovery. In: Cabot, J., Gómez, C., Pastor, O., Sancho, M., Teniente, E. (eds) Conceptual Modeling Perspectives. Springer, Cham. https://doi.org/10.1007/978-3-319-67271-7_17
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DOI: https://doi.org/10.1007/978-3-319-67271-7_17
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