Value Identification
Value Identification is a scholarly contribution in the field of Value Engineering that constitutes a method, model, framework, theory, construct, dataset, task, or metric specifically designed to discern, define, and prioritize functional requirements and performance benchmarks essential for optimizing cost-effectiveness and stakeholder satisfaction within a given value analysis process.
123
Publications
6K
Citations
330
Authors
167
Institutions
Publications per year
2017–2026
52
Parents
123
Next steps for value sensitive design
Alan Borning, Michael Müller · 2012 · 346 citations
Christopher A. Le Dantec, Erika Shehan Poole, Susan Wyche · 2009 · 312 citations
Arts, Computational Design, Design +10
1–5 of 123
330
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 330
167

Delft University of Technology
Delft, The Netherlands
4 h-index
18 publications
516 citations
Universidade Federal de Santa Catarina
Florianópolis, Brazil
2 h-index
4 publications
165 citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
2 h-index
3 publications
39 citations

Lappeenranta-Lahti University of Technology
Lappeenranta, Finland
2 h-index
3 publications
107 citations
University of Sunderland
Sunderland, United Kingdom
2 h-index
2 publications
124 citations
Blekinge Institute of Technology
Karlskrona, Sweden
2 h-index
2 publications
57 citations

VTT Technical Research Centre of Finland
Espoo, Finland
2 h-index
2 publications
68 citations
University of Maryland, College Park
College Park, United States
2 h-index
4 publications
238 citations
1–8 of 167
5 publications · 300 citations
5
h-index
2 publications · 299 citations
2
h-index
2 publications · 132 citations
2
h-index
JBR · 2 publications · 168 citations
2
h-index
1 publications · 22 citations
1
h-index
1–5