Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91595
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorWang, Zen_US
dc.creatorChen, CHen_US
dc.creatorZheng, Pen_US
dc.creatorLi, Xen_US
dc.creatorKhoo, Len_US
dc.date.accessioned2021-11-09T08:25:39Z-
dc.date.available2021-11-09T08:25:39Z-
dc.identifier.issn0020-7543en_US
dc.identifier.urihttp://hdl.handle.net/10397/91595-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2019 Informa UK Limited, trading as Taylor & Francis Groupen_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 18 Dec 2019, available online: http://www.tandfonline.com/10.1080/00207543.2019.1702227en_US
dc.subjectProduct-service systemsen_US
dc.subjectRequirement elicitationen_US
dc.subjectInformation modellingen_US
dc.subjectGraph embeddingen_US
dc.subjectContext-awarenessen_US
dc.subjectOntologyen_US
dc.titleA graph-based context-aware requirement elicitation approach in smart product-service systemsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage635en_US
dc.identifier.epage651en_US
dc.identifier.volume59en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1080/00207543.2019.1702227en_US
dcterms.abstractThe paradigm of Smart product-service systems (Smart PSS) has emerged recently owing to the edge-cutting Information and Communication Technology (ICT) and artificial intelligence (AI) techniques. The unique features of Smart PSS including smartness and connectedness, value co-creation and data-driven design manner, enable the collection and analysis of large volume and heterogeneous contextual data to extract useful knowledge. Therefore, requirement elicitation, as a critical process for new solution (i.e. product-service) design, can be conducted in a rather context-aware manner, assured by those massive user-generated data and product-sensed data during the usage stage. Nevertheless, despite a few works on semantic modelling, scarcely any reports on such mechanism in today's smart, connected environment. Aiming to fill this gap, for the first time, a graph-based context-aware requirement elicitation approach considering contextual information within the Smart PSS is proposed. It leverages the pre-defined product, service, and condition ontologies together with Deepwalk technique, to formulate those concepts as nodes and their relationships as the edge of the proposed requirement graph. Implicit stakeholder requirements within a specific context can be further derived based on such interrelationships in a data-driven manner. To demonstrate its feasibility and effectiveness, an example of smart bike share system is addressed to illustrate the requirement elicitation process. It is hoped that this explorative study can offer valuable insights for the service providers who would like to extract requirements not only from the voice of customers but also from the user-generated data and product-sensed data.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of production research, 2021, v. 59, no. 2, p. 635-651en_US
dcterms.isPartOfInternational journal of production researchen_US
dcterms.issued2021-
dc.identifier.isiWOS:000503297900001-
dc.identifier.eissn1366-588Xen_US
dc.description.validate202111 bchyen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1047-n12-
dc.identifier.SubFormID43853-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe authors wish to acknowledge the financial support from the National Research Foundation (NRF) Singapore and Delta Electronics International (Singapore) Pte Ltd., under the Corporate Laboratory@ University Scheme (Ref. SCO-RP1; RCA-16/434) at Nanyang Technological University, Singapore.en_US
dc.description.pubStatusPublisheden_US
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