A method for capturing customers’ preferences for housing customisation
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Tese |
Idioma: | eng |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/235012 |
Resumo: | The housebuilding sector has used mass production systems and reduced portfolios for many decades in different countries, countering the constant changes in society, resulting in neglecting the increasing diversity of customers’ requirements. Housebuilding companies should be able to meet this requirement’s diversity by offering a higher product variety and at the same time maintaining costs within market expectations. Mass customisation strategies have been presented as efficient alternatives to keep the balance between fulfilling clients’ specific needs and maintaining reasonable prices in housing by focusing on value generation. Moreover, there are limited ways of increasing value generation in housing considering its tradeoff with product cost, emphasising the need for the delimitation of a set of options (i.e.: solution space) adequate to customers’ preferences. Some research opportunities highlighted in the literature for adopting mass customisation in housing include solution space clear definition and the need for methods to explore the value perceived in product alternatives and reduce trade-offs between preferences and choice complexity. Accordingly, the main aim of this investigation is to propose a method for capturing customers’ preferencess and supporting customer integration in mass customisation strategies for housing. The design science approach was used as methodological underpinning for building the solution in this investigation. This thesis was structured in three academic papers. The first paper provides an overview of the available practices in house building and focuses on developing a framework of customer integration and core decision categories that support the definition of mass customisation strategies. In the second paper, a method for identifying customers’ preferences and support solution space definition was proposed, based on preference modelling and willingness-to-pay approaches regarding customer value and its balance with operations costs. In paper 3, another method is presented by adapting menu-based choice for housing and its implementation in an empirical study. The main contributions of this thesis include the method for capturing customers’ preferences, a framework of decision categories, and approaches for modelling customers willingness-to-pay for customised housing. |
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Hentschke, Cynthia dos SantosFormoso, Carlos TorresEcheveste, Marcia Elisa Soares2022-02-10T04:36:47Z2021http://hdl.handle.net/10183/235012001137032The housebuilding sector has used mass production systems and reduced portfolios for many decades in different countries, countering the constant changes in society, resulting in neglecting the increasing diversity of customers’ requirements. Housebuilding companies should be able to meet this requirement’s diversity by offering a higher product variety and at the same time maintaining costs within market expectations. Mass customisation strategies have been presented as efficient alternatives to keep the balance between fulfilling clients’ specific needs and maintaining reasonable prices in housing by focusing on value generation. Moreover, there are limited ways of increasing value generation in housing considering its tradeoff with product cost, emphasising the need for the delimitation of a set of options (i.e.: solution space) adequate to customers’ preferences. Some research opportunities highlighted in the literature for adopting mass customisation in housing include solution space clear definition and the need for methods to explore the value perceived in product alternatives and reduce trade-offs between preferences and choice complexity. Accordingly, the main aim of this investigation is to propose a method for capturing customers’ preferencess and supporting customer integration in mass customisation strategies for housing. The design science approach was used as methodological underpinning for building the solution in this investigation. This thesis was structured in three academic papers. The first paper provides an overview of the available practices in house building and focuses on developing a framework of customer integration and core decision categories that support the definition of mass customisation strategies. In the second paper, a method for identifying customers’ preferences and support solution space definition was proposed, based on preference modelling and willingness-to-pay approaches regarding customer value and its balance with operations costs. In paper 3, another method is presented by adapting menu-based choice for housing and its implementation in an empirical study. The main contributions of this thesis include the method for capturing customers’ preferences, a framework of decision categories, and approaches for modelling customers willingness-to-pay for customised housing.application/pdfengCasas : Projeto e construçãoCustomização em massaPreferência do consumidorMass customisationSolution spaceCustomersStated preferenceWillingness-to-payHousingA method for capturing customers’ preferences for housing customisationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisUniversidade Federal do Rio Grande do SulEscola de EngenhariaPrograma de Pós-Graduação em Engenharia Civil: construção e infraestruturaPorto Alegre, BR-RS2021doutoradoinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001137032.pdf.txt001137032.pdf.txtExtracted Texttext/plain269402http://www.lume.ufrgs.br/bitstream/10183/235012/2/001137032.pdf.txte0ea74b314bf7171e73c138fa5e55ffdMD52ORIGINAL001137032.pdfTexto parcialapplication/pdf4748785http://www.lume.ufrgs.br/bitstream/10183/235012/1/001137032.pdf77d4d260c7557dd7aea3b93064ca3389MD5110183/2350122022-02-22 05:11:39.538681oai:www.lume.ufrgs.br:10183/235012Biblioteca Digital de Teses e Dissertaçõeshttps://lume.ufrgs.br/handle/10183/2PUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.br||lume@ufrgs.bropendoar:18532022-02-22T08:11:39Biblioteca Digital de Teses e Dissertações da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
A method for capturing customers’ preferences for housing customisation |
title |
A method for capturing customers’ preferences for housing customisation |
spellingShingle |
A method for capturing customers’ preferences for housing customisation Hentschke, Cynthia dos Santos Casas : Projeto e construção Customização em massa Preferência do consumidor Mass customisation Solution space Customers Stated preference Willingness-to-pay Housing |
title_short |
A method for capturing customers’ preferences for housing customisation |
title_full |
A method for capturing customers’ preferences for housing customisation |
title_fullStr |
A method for capturing customers’ preferences for housing customisation |
title_full_unstemmed |
A method for capturing customers’ preferences for housing customisation |
title_sort |
A method for capturing customers’ preferences for housing customisation |
author |
Hentschke, Cynthia dos Santos |
author_facet |
Hentschke, Cynthia dos Santos |
author_role |
author |
dc.contributor.author.fl_str_mv |
Hentschke, Cynthia dos Santos |
dc.contributor.advisor1.fl_str_mv |
Formoso, Carlos Torres |
dc.contributor.advisor-co1.fl_str_mv |
Echeveste, Marcia Elisa Soares |
contributor_str_mv |
Formoso, Carlos Torres Echeveste, Marcia Elisa Soares |
dc.subject.por.fl_str_mv |
Casas : Projeto e construção Customização em massa Preferência do consumidor |
topic |
Casas : Projeto e construção Customização em massa Preferência do consumidor Mass customisation Solution space Customers Stated preference Willingness-to-pay Housing |
dc.subject.eng.fl_str_mv |
Mass customisation Solution space Customers Stated preference Willingness-to-pay Housing |
description |
The housebuilding sector has used mass production systems and reduced portfolios for many decades in different countries, countering the constant changes in society, resulting in neglecting the increasing diversity of customers’ requirements. Housebuilding companies should be able to meet this requirement’s diversity by offering a higher product variety and at the same time maintaining costs within market expectations. Mass customisation strategies have been presented as efficient alternatives to keep the balance between fulfilling clients’ specific needs and maintaining reasonable prices in housing by focusing on value generation. Moreover, there are limited ways of increasing value generation in housing considering its tradeoff with product cost, emphasising the need for the delimitation of a set of options (i.e.: solution space) adequate to customers’ preferences. Some research opportunities highlighted in the literature for adopting mass customisation in housing include solution space clear definition and the need for methods to explore the value perceived in product alternatives and reduce trade-offs between preferences and choice complexity. Accordingly, the main aim of this investigation is to propose a method for capturing customers’ preferencess and supporting customer integration in mass customisation strategies for housing. The design science approach was used as methodological underpinning for building the solution in this investigation. This thesis was structured in three academic papers. The first paper provides an overview of the available practices in house building and focuses on developing a framework of customer integration and core decision categories that support the definition of mass customisation strategies. In the second paper, a method for identifying customers’ preferences and support solution space definition was proposed, based on preference modelling and willingness-to-pay approaches regarding customer value and its balance with operations costs. In paper 3, another method is presented by adapting menu-based choice for housing and its implementation in an empirical study. The main contributions of this thesis include the method for capturing customers’ preferences, a framework of decision categories, and approaches for modelling customers willingness-to-pay for customised housing. |
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2021 |
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2021 |
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2022-02-10T04:36:47Z |
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