HEAL DSpace

An integrated decision support model for a knowledge city's strategy formulation

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dc.contributor.author Ergazakis, K en
dc.contributor.author Metaxiotis, K en
dc.contributor.author Psarras, J en
dc.contributor.author Askounis, D en
dc.date.accessioned 2014-03-01T01:25:54Z
dc.date.available 2014-03-01T01:25:54Z
dc.date.issued 2007 en
dc.identifier.issn 13673270 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/17803
dc.subject Cities en
dc.subject Citizens en
dc.subject Decision making en
dc.subject Emergent strategy en
dc.subject Knowledge management en
dc.title An integrated decision support model for a knowledge city's strategy formulation en
heal.type journalArticle en
heal.identifier.primary 10.1108/13673270710819816 en
heal.identifier.secondary http://dx.doi.org/10.1108/13673270710819816 en
heal.publicationDate 2007 en
heal.abstract Purpose - The concept of knowledge cities (KCs) offers advantages to any urban region. Many cities globally claim themselves as being already KCs, while other cities have elaborated strategic plans in order to integrate this concept into their operational structures. The examination of their approaches reveals however that these initiatives are fragmented. The purpose of this paper is to present a multi-dimensional and integrated decision support model for a KC's strategy formulation. Design/methodology/approach - Reference is made to a methodological approach (KnowCis) for the integrated development of a KC, consisting of five main phases and taking into account nine different dimensions. The strategy formulation phase is a particularly complex procedure for any authority (e.g. local government or city's development agency). The reasons for this complexity are related to the amplitude of the KC concept, to the variety of the factors to be considered as well as to the challenge for balancing the needs and interests of different target groups. Findings - The proposed model consists of the following building blocks: identification of the appropriate actions (based on the KnowCis methodology), modeling of the city's current status as a KC (via the development of related indicators), assessment of actions' necessity (based on the indicators' outcomes and through the benchmarking of other successful KCs cases), selection of the most appropriate form for each proposed action (based on their efficiency during the last reference period) and, finally, prioritisation of the proposed actions (based on a multi-criteria approach). Research limitations/implications - The main suggestion for future research is the development of an intelligent information system which will incorporate the building blocks of the proposed model. Originality/value - The originality and value of the paper is that the proposed model can be a really helpful decision support tool for any city which is developing a knowledge-based strategy. en
heal.journalName Journal of Knowledge Management en
dc.identifier.doi 10.1108/13673270710819816 en
dc.identifier.volume 11 en
dc.identifier.issue 5 en
dc.identifier.spage 65 en
dc.identifier.epage 86 en


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