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Article
A Methodology to Support Product-Differentiation Decisions
IEEE Transactions on Engineering Management
  • Kamalini Ramdas, London Business School
  • Oleksandr Zhylyevskyy, Iowa State University
  • William L. Moore, University of Utah
Document Type
Article
Publication Version
Submitted Manuscript
Publication Date
1-1-2010
DOI
10.1109/TEM.2009.2035612
Abstract

Choosing the right set of new products to offer is a key driver of profitability. New products often share some design attributes with existing products, thus, firms need to decide which attributes to keep common and which to differentiate. We propose and empirically implement a new methodology that can help managers to navigate the complex decision of where to focus differentiation, using “looks-like” prototypes that typically become available in the later stages of the product-development process. Our methodology complements early stage product-positioning methods, such as conjoint analysis and perceptual mapping. It also offers a way to estimate the impact of context dependence on choice. Finally, our methodology provides a way to test empirically whether perceptual mapping based on pairwise similarity judgments is appropriate for a product category. Using data obtained from a major wristwatch manufacturer, we are able to suggest guidelines on how to differentiate the firm’s offerings and estimate the magnitude of context dependent effects. We also find that for wristwatches, attributes that drive perceptions differ from those that drive choice. Overall, our approach can help avoid falling into the trap of focusing variety on attributes that are costly to differentiate and have little impact on choice.

Comments

This is a manuscript of an article from IEEE Transactions on Engineering Management 57 (2010): 649, doi:10.1109/TEM.2009.2035612.

Rights
2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Copyright Owner
IEEE
Language
en
File Format
application/pdf
Citation Information
Kamalini Ramdas, Oleksandr Zhylyevskyy and William L. Moore. "A Methodology to Support Product-Differentiation Decisions" IEEE Transactions on Engineering Management Vol. 57 Iss. 4 (2010) p. 649 - 660
Available at: http://works.bepress.com/oleksandr-zhylyevskyy/9/