The concurrent availability of an ever-increasing volume of User-Generated Content (UGC) and text mining techniques has enabled methods to conduct both qualitative and quantitative research that was unimaginable a few years ago. These investigations have proved to generate interesting insights with potential implications in manufacturing and engineering design. This paper introduces a novel practical methodology to address the following research issue: how to infer the quality determinants of a Product-Service System (PSS) from UGCs? Analyzing a sample of UGCs by means of a topic modelling method, the idea of this study is to produce and examine the set of determinants relevant to the perception of the quality of a specific PSS. The application of the proposed approach is exemplified on a specific use-oriented PSS: car-sharing.
Mining quality determinants of product-service systems from user-generated contents / Mastrogiacomo, Luca; Barravecchia, Federico; Franceschini, Fiorenzo; Marimon, Frederic. - In: QUALITY ENGINEERING. - ISSN 0898-2112. - STAMPA. - 33:3(2021), pp. 425-442. [10.1080/08982112.2021.1877305]
Titolo: | Mining quality determinants of product-service systems from user-generated contents | |
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Data di pubblicazione: | 2021 | |
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Digital Object Identifier (DOI): | http://dx.doi.org/10.1080/08982112.2021.1877305 | |
Appare nelle tipologie: | 1.1 Articolo in rivista |
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File | Descrizione | Tipologia | Licenza | |
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QE mining quality determinants PSS car sharing (2020-11-20) No Yellow.pdf | QE mining quality determinants PSS car sharing (2020-11-20) | 2. Post-print / Author's Accepted Manuscript | ![]() | Visibile a tuttiVisualizza/Apri |
QE Mining quality determinants ON-LINE FIRST (2021-06-11).pdf | QE Mining quality determinants ON-LINE FIRST (2021-06-11) | 2a Post-print versione editoriale / Version of Record | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2948060