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Wednesday, 14 October 2015

Scopus - Document details

Volume 454, 2015, Pages 340-356
5th International Joint Conference on Knowledge Discovery,
Knowledge Engineering and Knowledge Management, IC3K 2013; Vilamoura;
Portugal; 19 September 2013 through 22 September 2013; Code 142419

A risk diagnosing methodology web-based platform for micro, small and medium businesses: Remarks and enhancements  (Conference Paper)


Universidade NOVA de Lisboa (UNL), Lisbon, Portugal




Department of Mechanical and Industrial Engineering, UNIDEMI, Lisbon, Portugal




WS Energia, Lisbon, Portugal





Abstract

The indisputable
necessity to innovate brings to companies vital responsibilities such as
the inevitable errand of having consistent innovation and risk
management procedures along their projects. This work presents a risk
diagnosing methodology (RDM) web-platform, that can provide to Small and
Medium Enterprises (SMEs) the ability to identify and self-assess risks
associated with their innovative project’s portfolio, from the
project’s idealization to its commercialization. The creation of this
tool attempts to encourage SMEs on the systematic use of risk management
approaches, in order to increase project’s successful rates. As
groundwork, this paper also includes a bibliographical review and
comparative analysis of other existing risk management tools and models
available to SMEs. The present article also uncovers first empirical
results available from exploratory research done and reveals ongoing
research efforts regarding risk perception and potential bias
correction. © Springer-Verlag Berlin Heidelberg 2015.

Author keywords

Decision tools; Innovation management; Risk assessment; SMEs

Indexed keywords

Engineering controlled terms: Knowledge engineering; Knowledge management; Risk assessment; Risk perception
Comparative analysis; Decision tool; Exploratory
research; Innovation management; Innovative projects; Management
procedures; Small and medium enterprise; SMEs
Engineering main heading: Risk management


ISSN: 18650929

ISBN: 978-366246548-6
Source Type: Book series
Original language: English


DOI: 10.1007/978-3-662-46549-3_22
Document Type: Conference Paper
Volume Editors: Dietz J.L.G.,Fred A.,Liu K.,Filipe J.Sponsors: Institute for Systems and Technologies of Information, Control and Communication (INSTICC)Publisher: Springer Verlag

Funding Details
Number; Acronym; Sponsor: LISBOA-01-0202-FEDER-011999; FCT; Federación Española de Enfermedades Raras

Acronym; Sponsor: FEDER; Federación Española de Enfermedades Raras


Scopus - Document details

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