2017
DOI: 10.1080/00207543.2017.1384581
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A method for identifying customer orientations and requirements for product–service systems design

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Cited by 34 publications
(12 citation statements)
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References 29 publications
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“…The present paper is built on the research stages of a design research methodology (DRM) [23], which is a set of supporting methods and guidelines for design research. This approach has been broadly adopted by extant PSS design research [24][25][26][27][28][29]. The research stage consists of (1) a literature review to understand previous knowledge and existing theories, (2) the development of methodology based on a theoretical foundation, and (3) the application of the developed method to an actual case study.…”
Section: Methodsmentioning
confidence: 99%
“…The present paper is built on the research stages of a design research methodology (DRM) [23], which is a set of supporting methods and guidelines for design research. This approach has been broadly adopted by extant PSS design research [24][25][26][27][28][29]. The research stage consists of (1) a literature review to understand previous knowledge and existing theories, (2) the development of methodology based on a theoretical foundation, and (3) the application of the developed method to an actual case study.…”
Section: Methodsmentioning
confidence: 99%
“…In detail, few studies investigated the relationship between hyperautomation and PSS, mainly focusing on the application of data mining algorithms for the evaluation and management of PSS (Wiesner et al, 2017;Shimomura et al, 2018). Issues related to multiexperience were partially covered by analyzing the use of augmented reality equipment and smart devices for the maintenance and monitoring of industrial plants with a Product-Service approach (Mourtzis et al, 2017).…”
Section: Pss and Emerging Technological Issuesmentioning
confidence: 99%
“…Cluster analysis, for instance, has been employed with a descriptive purpose both during the planning phase, to distinguish between potential and target customer from a large dataset (Tao et al 2018), and during requirement elicitation (Zhang et al 2017;Shimomura et al 2018). Conjoint analysis has been used, instead, in defining customer preferences and suggesting the possible functions and performances of a new design solution (Song & Kusiak 2009).…”
Section: Stream 3: Analytics For Design or Design Analyticsmentioning
confidence: 99%