Abstract A data analysis method based on artificial neural networks aiming to support cause-and-effect analysis in design exploration studies is presented. The method clusters and aggregates the effects of multiple […]
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Abstract A data analysis method based on artificial neural networks aiming to support cause-and-effect analysis in design exploration studies is presented. The method clusters and aggregates the effects of multiple […]
Read MoreAbstract This paper presents an explorative study and the results of 17 interviews with informants from different companies. Its purpose is to identify the challenges associated with implementing agile methods […]
Read MoreAbstract Recent economic transformations have forced companies to redefine their value propositions, increasing traditional product offerings with supplementary services— the so-called Product-Service System (PSS). Among them, the adoption of Industry […]
Read MoreCo-design with marginalised people: designers’ perceptions of barriers and enablers
Read MoreAbstract The current and future challenges of sustainable development require a massive transformation of habits and behaviors in the whole society at many levels. This demands a change of perspectives, […]
Read MoreAbstract Since its introduction in 2011, industry 4.0 has been coined the“4th industrial revolution” following mechanization, industrialization and IT/automation as the first three, and represents the current trend of automation […]
Read MoreJan 7-10 was the International Conference on Research into Design, ICoRD ’21 hosted by IDC School of Design Jan 7-10 2021, Indian Institute of Technology, Bombay, Mumbai, India. In the […]
Read MoreAbstract A data analysis method based on artificial neural networks aiming to support cause-and-effect analysis in design exploration studies is presented. The method clusters and aggregates the effects of multiple […]
Read More