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A CORPUS-LED APPROACH ON GUIDELINES EXTRACTION FROM DESIGN THINKING METHODOLOGIES

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Author(s):
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Rosa, Maiara ; Nogueira, Giovana ; Rozenfeld, Henrique ; Maier, A ; Skec, S ; Kim, H ; Kokkolaras, M ; Oehmen, J ; Fadel, G ; Salustri, F ; VanDerLoos, M
Total Authors: 11
Document type: Journal article
Source: DS87-2 PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN (ICED 17), VOL 2: DESIGN PROCESSES, DESIGN ORGANISATION AND MANAGEMENT; v. N/A, p. 10-pg., 2017-01-01.
Abstract

Target of criticism and enthusiastic expressions in literature, design thinking (DT) as spread by IDEO has been popularized and practitioners' literature has been growing. However, this DT strand lacks further theoretical characterization. This work is part of a wider research that aims to provide a proper characterization of DT to allow its integration into product-service system (PSS) design process models. This wider research has already provided the 46 most recurrent activities on DT. Besides activities, one of the elements that is also essential on a proper DT application is the mindset assumed by the design team, which is commonly framed by guidelines proposed on methodologies in literature. The goal of this work is to identify the generic and specific guidelines that complement DT recurrent activities, towards a more complete characterization of DT. This goal was achieved by means of a corpus-led approach based on corpus linguistics and frame semantics applied to eight DT methodologies. It resulted into nine generic guidelines and about ten specific guidelines per DT recurrent activity, which can be classified into agent, duration, manner, place and time. (AU)

FAPESP's process: 15/00291-0 - Applying design thinking to support innovation on new product and service development
Grantee:Maiara Rosa
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 15/23094-6 - Transformation methodology from product oriented offer to product-service system (PSS)
Grantee:Henrique Rozenfeld
Support Opportunities: Regular Research Grants