A test of a design process scale

Yorgos Marinakis, Rainer Harms, Steven Thomas Walsh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Design is a type of innovation that focuses on creating new product and service meanings. Models of the design process are important because they can help firms manage their product and service design processes to obtain competitive advantage. Empirically-based models of the design process are particularly valuable because they help us avoid cognitive biases when constructing the models and because they can lead to new theory development. Yet such empirically-based models are relatively small in number and not utilized outside of their original studies. Using the first two stages of Ravasi and Stigliani's model of the design process, which model was based on a review of 125 articles and 20 books published between 1989 and 2011, we constructed a scale comprising four sets of redundant reflective measures. We then surveyed 131 design firms internationally with those measures. We then fit the scale to the survey results by using Confirmatory Factory Analysis. Using a variety of goodness of fit statistics, we found that a large portion of the scale fit the data
Original languageEnglish
Title of host publication2015 Portland International Conference on Management of Engineering and Technology (PICMET)
Place of PublicationPortland, Oregon
PublisherIEEE
Pages988-991
DOIs
Publication statusPublished - 2 Aug 2015

Publication series

Name
PublisherIEEE

Fingerprint

Design process
Cognitive bias
New services
Statistics
Service design
Factory
Product design
Innovation
New products
Theory development
Goodness of fit
Competitive advantage
Process model

Keywords

  • IR-99188
  • METIS-315429

Cite this

Marinakis, Y., Harms, R., & Walsh, S. T. (2015). A test of a design process scale. In 2015 Portland International Conference on Management of Engineering and Technology (PICMET) (pp. 988-991). Portland, Oregon: IEEE. https://doi.org/10.1109/PICMET.2015.7273091
Marinakis, Yorgos ; Harms, Rainer ; Walsh, Steven Thomas. / A test of a design process scale. 2015 Portland International Conference on Management of Engineering and Technology (PICMET). Portland, Oregon : IEEE, 2015. pp. 988-991
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Marinakis, Y, Harms, R & Walsh, ST 2015, A test of a design process scale. in 2015 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, Portland, Oregon, pp. 988-991. https://doi.org/10.1109/PICMET.2015.7273091

A test of a design process scale. / Marinakis, Yorgos; Harms, Rainer; Walsh, Steven Thomas.

2015 Portland International Conference on Management of Engineering and Technology (PICMET). Portland, Oregon : IEEE, 2015. p. 988-991.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - Design is a type of innovation that focuses on creating new product and service meanings. Models of the design process are important because they can help firms manage their product and service design processes to obtain competitive advantage. Empirically-based models of the design process are particularly valuable because they help us avoid cognitive biases when constructing the models and because they can lead to new theory development. Yet such empirically-based models are relatively small in number and not utilized outside of their original studies. Using the first two stages of Ravasi and Stigliani's model of the design process, which model was based on a review of 125 articles and 20 books published between 1989 and 2011, we constructed a scale comprising four sets of redundant reflective measures. We then surveyed 131 design firms internationally with those measures. We then fit the scale to the survey results by using Confirmatory Factory Analysis. Using a variety of goodness of fit statistics, we found that a large portion of the scale fit the data

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Marinakis Y, Harms R, Walsh ST. A test of a design process scale. In 2015 Portland International Conference on Management of Engineering and Technology (PICMET). Portland, Oregon: IEEE. 2015. p. 988-991 https://doi.org/10.1109/PICMET.2015.7273091

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