{"title":"Understanding and profiling user requirements to support the conceptual design in the aeronautical sector","authors":"M. Norese, Chiara Novello","doi":"10.1504/IJMCDM.2014.060424","DOIUrl":null,"url":null,"abstract":"Acquiring and organising knowledge and information elements are essential activities in the innovation processes, not only to understand, but also to eliminate, or at least reduce and control technological and organisational complexities and uncertainties. An integration of tools from different disciplines could systematically help in the construction of an agreed framework for problem structuring, above all when the situation is 'new'. An application was developed in relation to an industrial project, in order to reduce uncertainty on the market that has to accept the innovation. The knowledge elements that were acquired in the project were analysed with an integrated use of cognitive mapping and actor network representation, in order to understand the whole situation and structure the problem. The results of this action were used to identify and formally develop technological, organisational and economic constraints and criteria starting from the end users' vision on the acceptability of all the possible innovations. Based on a multiple criteria clustering approach, profiles of the potential users of this innovative system and of their requirements were identified and proposed, in order to formally develop models that can orient analysis, decision and action.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"4 1","pages":"135-153"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2014.060424","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Multicriteria Decision Making","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMCDM.2014.060424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 1
Abstract
Acquiring and organising knowledge and information elements are essential activities in the innovation processes, not only to understand, but also to eliminate, or at least reduce and control technological and organisational complexities and uncertainties. An integration of tools from different disciplines could systematically help in the construction of an agreed framework for problem structuring, above all when the situation is 'new'. An application was developed in relation to an industrial project, in order to reduce uncertainty on the market that has to accept the innovation. The knowledge elements that were acquired in the project were analysed with an integrated use of cognitive mapping and actor network representation, in order to understand the whole situation and structure the problem. The results of this action were used to identify and formally develop technological, organisational and economic constraints and criteria starting from the end users' vision on the acceptability of all the possible innovations. Based on a multiple criteria clustering approach, profiles of the potential users of this innovative system and of their requirements were identified and proposed, in order to formally develop models that can orient analysis, decision and action.
期刊介绍:
IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields