Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading
By Jeremy J. Michalek, Fred M. Feinberg, Panos Y. Papalambros. 2005
299 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Marketing
View Paper: https://www.semanticscholar.org/paper/84e5428f9172d57e67dd4bb93ae051b8cbf6b1a4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Panos Y. Papalambros
- Jeremy J. Michalek
- Vithala R. Rao
- Joaquim R. Martins
- Oded Netzer
- Eric T. Bradlow
- Theodoros Evgeniou
- Fred M. Feinberg
In Management Science and Operations Research
- Jeremy J. Michalek
- Panos Y. Papalambros
- Joaquim R. Martins
- Eric T. Bradlow
- Theodoros Evgeniou
- Fred M. Feinberg
- Olivier Toubia
- E. M. Feit
In Marketing
- Panos Y. Papalambros
- Jeremy J. Michalek
- Olivier Toubia
- Vithala R. Rao
- Oded Netzer
- Eric T. Bradlow
- Theodoros Evgeniou
- Fred M. Feinberg
Citations in the corpus
- Beyond conjoint analysis: Advances in preference measurement (2008, background): “Future research may incorporate other aspects of the environment, such as engineering constraints (Michalek et al. 2005) or prior knowledge of Market Lett (2008) 19:337–354 341”
- Multidisciplinary design optimization: A survey of architectures (2013, background): “Applications beyond engineering design include manufacturing decisions [183], supply chain management [184], and marketing decisions in product design [185].”
- An Efficient Weighting Update Method to Achieve Acceptable Consistency Deviation in Analytical Target Cascading (2005, methodology): “ATC has been applied to automotive applications [7]-[9], including the design of product families [10], as well as to architectural design [11], and ATC has recently been introduced as a method to coordinate marketing models of user and producer preferences with engineering models of product perform”
- Enhancing Marketing with Engineering: Optimal Product Line Design for Heterogeneous Markets (2011, unknown): “- 16 is troublesome; in fact, the single-product solution obtained in Michalek et al. (2005) is substantially changed once any form of preference heterogeneity is allowed.”