@inproceedings{c21926c3b3044de6b140581ac730e415,
title = "Disruptive Innovation: A Dedicated Forecasting Framework",
abstract = "This paper describes the design of a forecasting framework to predict disruptive innovations. First, the nature and characteristics of disruptive innovation are presented, as well as the conditions that enable such a phenomenon. Individual factors that feed into disruptive innovations are identified, as well as formulae to allocate quantifiable measurement to these factors. Suitable principles from two existing approaches to forecasting are adopted to put forward a new framework. This will consist of a four-step process that uses both mathematical models and the judgemental method. The findings are based on work that is part of a MSc dissertation [1].",
keywords = "Disruptive innovation, Forecasting models, Sales drivers modeling, Social media, Technology market",
author = "Sanaa Diab and John Kanyaru and Hind Zantout",
year = "2015",
doi = "10.1007/978-3-319-19728-9_19",
language = "English",
isbn = "978-3-319-19727-2",
volume = "Part IV",
series = "Smart Innovation Systems and Technologies",
publisher = "Springer",
pages = "227--237",
editor = "Gordon Jezic and Howlett, {Robert J.} and Jain, {Lakhmi C.}",
booktitle = "Agent and Multi-Agent Systems: Technologies and Applications",
note = "9th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 15 ; Conference date: 17-06-2015 Through 19-06-2015",
}