Articolo in rivista, 2017, ENG, 10.1016/j.techfore.2016.11.013
Paolo Silvestrini, Umberto Amato, Antonio Vettoliere, Stefano Silvestrini, Berardo Ruggiero
Dipartimento di Matematica e Fisica, Seconda Università di Napoli, Viale Lincoln 57, I-81100 Caserta, Italy Istituto di Scienze Applicate e Sistemi Intelligenti "E. Caianiello" ISASI-CNR, Via Campi Flegrei 34, Pozzuoli, Napoli I-80078, Italy Istituto per le Applicazioni del Calcolo "Mauro Picone" IAC-CNR, Via Pietro Castellino 111, I-80131 Napoli, Italy Scuola Politecnica e di Scienze di Base, Università di Napoli "Federico II", Piazzale Tecchio 80, I-80125 Napoli, Italy
The theoretical understanding of Gartner's "hype curve" is an interesting open question in deciding the strategic actions to adopt in presence of an incoming technology. In order to describe the hype behaviour quantitatively, we propose a mathematical approach based on a rate equation, similar to that used to describe quantum level transitions. The model is able to describe the hype curve evolution in many relevant conditions, which can be associated to various market parameters. Different hype curves, describing the time evolution of a new technology market penetration, are then obtained within a single coherent mathematical approach. We have also used our theoretical model to describe the time evolution of the number of scientific publications in different fields of scientific research. Data are well described by our model, so we present a statistical analysis and forecasting potentiality of our approach. We note that the hype peak of inflated expectations is very smooth in the case of scientific publications, probably due to the high level of awareness and the deep preliminary understanding which is necessary to carry on a research project. Our model is anyway flexible enough to describe many patterns of increasing interest on a new idea, leading to a hype behaviour or other time evolution.
Technological forecasting & social change 116 (C), pp. 1–12
Hype cycle; Hype-type mathematical approach; Rate equation; Technological development analysis
Silvestrini Paolo, Amato Umberto, Vettoliere Antonio, Ruggiero Berardo
IAC – Istituto per le applicazioni del calcolo "Mauro Picone", ISASI – Istituto di Scienze Applicate e Sistemi Intelligenti "Eduardo Caianiello"
ID: 367325
Year: 2017
Type: Articolo in rivista
Creation: 2017-02-21 14:58:28.000
Last update: 2022-06-21 10:21:48.000
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1016/j.techfore.2016.11.013
URL: http://www.sciencedirect.com/science/article/pii/S0040162516306667
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:367325
DOI: 10.1016/j.techfore.2016.11.013