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The Construction of Preference in Engineering Design and Implications for Green Products

dc.contributor.authorMacDonald, Erin Faithen_US
dc.date.accessioned2008-08-25T20:50:50Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2008-08-25T20:50:50Z
dc.date.issued2008en_US
dc.date.submitteden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/60660
dc.description.abstractThis dissertation incorporates the construction of preference into engineering design methodology. Currently, engineers view customer preferences as existing a priori, evoking metaphors such as “need-finding.” For some product design activities this perspective is sufficient, but for others it is limiting. Behavioral psychology research asserts that individuals construct preferences on a case-by-case basis when called to make a decision. Decisions about products that are both psychologically and functionally complex are likely subject to inconsistent preference construction and dependent on context. This is problematic; for example, customer preferences exhibited during design-research interactions may be different from preferences exhibited in the market. This dissertation investigates green products, which resonate with people’s environmental values, yet are difficult to evaluate in terms of environmental impact. A literature review suggests eight cognitive reasons why preference for green products may be highly inconsistent. Three contributions are provided: (1) A framework for identifying and representing decision context in preference models and a related case-study of modeling preference inconsistency versus heterogeneity. It is found that modeling both is useful to designers; and that only some people have inconsistent preference for green products. (2) A design optimization that includes construction of preference as an uncertain parameter and as a variable. It is found that a green product’s success in the market increases when preference is actively controlled, for example, through design, education, and advertising efforts. (3) A design method that uses manipulations of preference construction to identify customer-perceived relationships between product attributes. The crux-sentinel attribute relationship is formally defined, and specific relationships between product attributes are identified in a case-study demonstration. People have an ever-increasing amount of choice in their product decisions, and interpreting and reacting to the nuances of their preferences is crucial to product design success. Manifold psychological issues have become important during product purchase and use, such as concern for the environment, safety, morality, and individualism. This dissertation demonstrates that issues of psychological import can have unanticipated effects on product decisions, via the construction of preference. Designers can use the design methods presented here to address these effects and shape the product decisions of the future.en_US
dc.format.extent6998081 bytes
dc.format.extent1373 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.subjectConstruction of Preferencesen_US
dc.subjectGreen Designen_US
dc.subjectDesign for Environmenten_US
dc.subjectDiscrete Choice and Conjoint Analysisen_US
dc.subjectMultidisciplinary Design Decision Makingen_US
dc.subjectPreference Inconsistencyen_US
dc.titleThe Construction of Preference in Engineering Design and Implications for Green Productsen_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineMechanical Engineeringen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberGonzalez, Richard D.en_US
dc.contributor.committeememberPapalambros, Panos Y.en_US
dc.contributor.committeememberFeinberg, Fred M.en_US
dc.contributor.committeememberSkerlos, Steven J.en_US
dc.subject.hlbsecondlevelMarketingen_US
dc.subject.hlbsecondlevelMechanical Engineeringen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/60660/1/erinmacd_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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