A method for emerging technology evaluation. Application to Blockchain and smart data discovery

Jacky Akoka () and Isabelle Comyn-Wattiau ()
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Jacky Akoka: IMT-BS - DSI - Département Systèmes d'Information - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], CEDRIC - Centre d'études et de recherche en informatique et communications - ENSIIE - Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise - CNAM - Conservatoire National des Arts et Métiers [CNAM]
Isabelle Comyn-Wattiau: ESSEC Business School

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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".

Keywords: Emerging technology; Blockchain; Smart data discovery; Complex IS; Methodology; Guidance; Assessment (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

Published in Conceptual modeling perspectives, Springer International Publishing, pp.247 - 258, 2017, 978-3-319-67270-0. ⟨10.1007/978-3-319-67271-7_17⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02374089

DOI: 10.1007/978-3-319-67271-7_17

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