Evaluating design performance

Authors
Citation
B. Nixon, Evaluating design performance, INT J TEC M, 17(7-8), 1999, pp. 814-829
Citations number
65
Categorie Soggetti
Management,"Engineering Management /General
Journal title
INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT
ISSN journal
02675730 → ACNP
Volume
17
Issue
7-8
Year of publication
1999
Pages
814 - 829
Database
ISI
SICI code
0267-5730(1999)17:7-8<814:EDP>2.0.ZU;2-K
Abstract
The role of design as a means of differentiating products and services is i ncreasing as it becomes difficult to sustain competitive advantage through technology alone. Yet until recently there has been virtually no quantitati ve information available relating to the contribution of design to business performance, and there are only a few studies on performance measurement o f design. This paper, which is based on a review of the relevant literature, two case studies and extensive discussions with design managers and consultants, hi ghlights the need for a clear understanding of the pervasiveness of the des ign activity that is being evaluated and an appreciation of the many dispar ate roles that it plays from the idea generation stage through to developme nt, packaging, market positioning and promotion. The span of design over a product's life cycle, encompassing form (appearance), function (performance ) and fit (ergonomics), is just one reason why the design function may be l ocated in R&D, manufacturing or marketing; this diffusion of the design act ivity increases the difficulty of evaluation. The research identified several factors that influence the balance between quantitative and qualitative measures of design performance. The two projec ts examined in this study revealed a strong top management preference for e xante evaluation, and an ex-post emphasis on metrics for the performance of the project and the cross-functional team responsible, rather than on sing le disciplines within the team. The study also suggests that the complexity and dynamics of the competitive environment in many industries requires ne w conceptual models and a new, less linear, way of thinking about performan ce measurement, in particular.