Enhancing new product development (NPD) portfolio performance by shaping the development funnel

Detalhes bibliográficos
Autor(a) principal: Figueiredo, Paulo Soares
Data de Publicação: 2012
Outros Autores: Souza, Elisabeth Regina Loiola da Cruz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://repositorio.ufba.br/ri/handle/ri/25564
Resumo: New product development (NPD) projects are typically managed through a series of screens, or gates, where ideas compete for resources. Ideas are carved into projects, and these projects are reviewed, and approved or terminated through the screening process so that only the best performing projects continue to subsequent stages of design, development and testing, and are released into the market place (Krishnan and Ulrich 2001; Terwiesch and Ulrich 2009). Most large innovative organizations deal with more than one NPD project at a time and typically engage in product pipeline management (PPM), where a set of active projects are evaluated together while they traverse through a sequence of such screens. Key decisions in a R&D pipeline are: screen thresholds, complexity of projects, resource allocation and capacity adjustment biases. We explore the impact of structural and behavioral aspects of these decisions through a simulation based analysis of a pharmaceutical dataset. Results establish concave relationships between value created at the end of pipeline and the resource allocation and complexity allocation biases, indicating optimizability and a limit for front loading practices.
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spelling Figueiredo, Paulo SoaresSouza, Elisabeth Regina Loiola da CruzFigueiredo, Paulo SoaresSouza, Elisabeth Regina Loiola da Cruz2018-03-21T16:58:16Z2018-03-21T16:58:16Z20120718-2724http://repositorio.ufba.br/ri/handle/ri/25564v. 7, n. 4, p. 20-35New product development (NPD) projects are typically managed through a series of screens, or gates, where ideas compete for resources. Ideas are carved into projects, and these projects are reviewed, and approved or terminated through the screening process so that only the best performing projects continue to subsequent stages of design, development and testing, and are released into the market place (Krishnan and Ulrich 2001; Terwiesch and Ulrich 2009). Most large innovative organizations deal with more than one NPD project at a time and typically engage in product pipeline management (PPM), where a set of active projects are evaluated together while they traverse through a sequence of such screens. Key decisions in a R&D pipeline are: screen thresholds, complexity of projects, resource allocation and capacity adjustment biases. We explore the impact of structural and behavioral aspects of these decisions through a simulation based analysis of a pharmaceutical dataset. Results establish concave relationships between value created at the end of pipeline and the resource allocation and complexity allocation biases, indicating optimizability and a limit for front loading practices.Submitted by Núcleo de Pós-Graduação Administração (npgadm@ufba.br) on 2018-03-20T17:41:20Z No. of bitstreams: 1 Enhancing New Product Development (NPD) Portfolio Performance by Shaping the Development Funnel.pdf: 688599 bytes, checksum: d0cc39afed03311457711edae11bbc42 (MD5)Approved for entry into archive by Maria Angela Dortas (dortas@ufba.br) on 2018-03-21T16:58:16Z (GMT) No. of bitstreams: 1 Enhancing New Product Development (NPD) Portfolio Performance by Shaping the Development Funnel.pdf: 688599 bytes, checksum: d0cc39afed03311457711edae11bbc42 (MD5)Made available in DSpace on 2018-03-21T16:58:16Z (GMT). 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dc.title.pt_BR.fl_str_mv Enhancing new product development (NPD) portfolio performance by shaping the development funnel
title Enhancing new product development (NPD) portfolio performance by shaping the development funnel
spellingShingle Enhancing new product development (NPD) portfolio performance by shaping the development funnel
Figueiredo, Paulo Soares
Product development
Ideas
Projects
Product pipeline management
Development funnel
Stage/gate
Screening
title_short Enhancing new product development (NPD) portfolio performance by shaping the development funnel
title_full Enhancing new product development (NPD) portfolio performance by shaping the development funnel
title_fullStr Enhancing new product development (NPD) portfolio performance by shaping the development funnel
title_full_unstemmed Enhancing new product development (NPD) portfolio performance by shaping the development funnel
title_sort Enhancing new product development (NPD) portfolio performance by shaping the development funnel
author Figueiredo, Paulo Soares
author_facet Figueiredo, Paulo Soares
Souza, Elisabeth Regina Loiola da Cruz
author_role author
author2 Souza, Elisabeth Regina Loiola da Cruz
author2_role author
dc.contributor.author.fl_str_mv Figueiredo, Paulo Soares
Souza, Elisabeth Regina Loiola da Cruz
Figueiredo, Paulo Soares
Souza, Elisabeth Regina Loiola da Cruz
dc.subject.por.fl_str_mv Product development
Ideas
Projects
Product pipeline management
Development funnel
Stage/gate
Screening
topic Product development
Ideas
Projects
Product pipeline management
Development funnel
Stage/gate
Screening
description New product development (NPD) projects are typically managed through a series of screens, or gates, where ideas compete for resources. Ideas are carved into projects, and these projects are reviewed, and approved or terminated through the screening process so that only the best performing projects continue to subsequent stages of design, development and testing, and are released into the market place (Krishnan and Ulrich 2001; Terwiesch and Ulrich 2009). Most large innovative organizations deal with more than one NPD project at a time and typically engage in product pipeline management (PPM), where a set of active projects are evaluated together while they traverse through a sequence of such screens. Key decisions in a R&D pipeline are: screen thresholds, complexity of projects, resource allocation and capacity adjustment biases. We explore the impact of structural and behavioral aspects of these decisions through a simulation based analysis of a pharmaceutical dataset. Results establish concave relationships between value created at the end of pipeline and the resource allocation and complexity allocation biases, indicating optimizability and a limit for front loading practices.
publishDate 2012
dc.date.issued.fl_str_mv 2012
dc.date.accessioned.fl_str_mv 2018-03-21T16:58:16Z
dc.date.available.fl_str_mv 2018-03-21T16:58:16Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufba.br/ri/handle/ri/25564
dc.identifier.issn.none.fl_str_mv 0718-2724
dc.identifier.number.pt_BR.fl_str_mv v. 7, n. 4, p. 20-35
identifier_str_mv 0718-2724
v. 7, n. 4, p. 20-35
url http://repositorio.ufba.br/ri/handle/ri/25564
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidad Alberto Hurtado, Facultad de Economía y Negocios
publisher.none.fl_str_mv Universidad Alberto Hurtado, Facultad de Economía y Negocios
dc.source.pt_BR.fl_str_mv http://dx.doi.org/10.4067/S0718-27242012000400002
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFBA
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