THE IMPACT OF PROJECT INTRODUCTION HEURISTICS ON RESEARCH AND DEVELOPMENT PERFORMANCE
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Administração e Inovação |
Texto Completo: | https://www.revistas.usp.br/rai/article/view/114412 |
Resumo: | Assuming a fixed total R&D budget, the product pipeline management (PPM) problem has two parts: (1) Which and how many projects should be initiated? (2) Which projects should continue to be invested in or terminated?We use a dynamic model calibrated to a pharmaceutical company to study PPM, focusing on three types of heuristics—gradual increase or decrease, random-normal choice, and target-based search—to evaluate the impact of the introduction of innovation projects in the pipeline on the performance in R&D.We find that a gradual decrease of project introduction rates results in convergence, but the size of the adjustments and delays in the pipeline can limit the precision of the results. A random choice is detrimental to performance even when the average value is the optimal. A target-based search results in oscillation. The results of our analysis show that the specific problem of choosing the project introduction rate can be significantly improved by using an adequate rule of thumb or heuristic. |
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Revista de Administração e Inovação |
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THE IMPACT OF PROJECT INTRODUCTION HEURISTICS ON RESEARCH AND DEVELOPMENT PERFORMANCESystem dynamicsProduct portfolio managementProduct pipeline managementHeuristicsBehavioural operations managementPharmaceutical industryAssuming a fixed total R&D budget, the product pipeline management (PPM) problem has two parts: (1) Which and how many projects should be initiated? (2) Which projects should continue to be invested in or terminated?We use a dynamic model calibrated to a pharmaceutical company to study PPM, focusing on three types of heuristics—gradual increase or decrease, random-normal choice, and target-based search—to evaluate the impact of the introduction of innovation projects in the pipeline on the performance in R&D.We find that a gradual decrease of project introduction rates results in convergence, but the size of the adjustments and delays in the pipeline can limit the precision of the results. A random choice is detrimental to performance even when the average value is the optimal. A target-based search results in oscillation. The results of our analysis show that the specific problem of choosing the project introduction rate can be significantly improved by using an adequate rule of thumb or heuristic.Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade2017-07-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/rai/article/view/114412INMR - Innovation & Management Review; v. 14 n. 2 (2017); 151-1612515-8961reponame:Revista de Administração e Inovaçãoinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/rai/article/view/114412/130493Figueiredo, PauloLoiola, Elisabethinfo:eu-repo/semantics/openAccess2018-08-08T13:15:35Zoai:revistas.usp.br:article/114412Revistahttp://www.viannajr.edu.br/wp-content/uploads/2016/01/raiPUBhttp://www.revistas.usp.br/viaatlantica/oairevistarai@usp.br||tatianepgt@revistarai.org1809-20391809-2039opendoar:2018-08-08T13:15:35Revista de Administração e Inovação - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
THE IMPACT OF PROJECT INTRODUCTION HEURISTICS ON RESEARCH AND DEVELOPMENT PERFORMANCE |
title |
THE IMPACT OF PROJECT INTRODUCTION HEURISTICS ON RESEARCH AND DEVELOPMENT PERFORMANCE |
spellingShingle |
THE IMPACT OF PROJECT INTRODUCTION HEURISTICS ON RESEARCH AND DEVELOPMENT PERFORMANCE Figueiredo, Paulo System dynamics Product portfolio management Product pipeline management Heuristics Behavioural operations management Pharmaceutical industry |
title_short |
THE IMPACT OF PROJECT INTRODUCTION HEURISTICS ON RESEARCH AND DEVELOPMENT PERFORMANCE |
title_full |
THE IMPACT OF PROJECT INTRODUCTION HEURISTICS ON RESEARCH AND DEVELOPMENT PERFORMANCE |
title_fullStr |
THE IMPACT OF PROJECT INTRODUCTION HEURISTICS ON RESEARCH AND DEVELOPMENT PERFORMANCE |
title_full_unstemmed |
THE IMPACT OF PROJECT INTRODUCTION HEURISTICS ON RESEARCH AND DEVELOPMENT PERFORMANCE |
title_sort |
THE IMPACT OF PROJECT INTRODUCTION HEURISTICS ON RESEARCH AND DEVELOPMENT PERFORMANCE |
author |
Figueiredo, Paulo |
author_facet |
Figueiredo, Paulo Loiola, Elisabeth |
author_role |
author |
author2 |
Loiola, Elisabeth |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Figueiredo, Paulo Loiola, Elisabeth |
dc.subject.por.fl_str_mv |
System dynamics Product portfolio management Product pipeline management Heuristics Behavioural operations management Pharmaceutical industry |
topic |
System dynamics Product portfolio management Product pipeline management Heuristics Behavioural operations management Pharmaceutical industry |
description |
Assuming a fixed total R&D budget, the product pipeline management (PPM) problem has two parts: (1) Which and how many projects should be initiated? (2) Which projects should continue to be invested in or terminated?We use a dynamic model calibrated to a pharmaceutical company to study PPM, focusing on three types of heuristics—gradual increase or decrease, random-normal choice, and target-based search—to evaluate the impact of the introduction of innovation projects in the pipeline on the performance in R&D.We find that a gradual decrease of project introduction rates results in convergence, but the size of the adjustments and delays in the pipeline can limit the precision of the results. A random choice is detrimental to performance even when the average value is the optimal. A target-based search results in oscillation. The results of our analysis show that the specific problem of choosing the project introduction rate can be significantly improved by using an adequate rule of thumb or heuristic. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-07-26 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rai/article/view/114412 |
url |
https://www.revistas.usp.br/rai/article/view/114412 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rai/article/view/114412/130493 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade |
dc.source.none.fl_str_mv |
INMR - Innovation & Management Review; v. 14 n. 2 (2017); 151-161 2515-8961 reponame:Revista de Administração e Inovação instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Administração e Inovação |
collection |
Revista de Administração e Inovação |
repository.name.fl_str_mv |
Revista de Administração e Inovação - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revistarai@usp.br||tatianepgt@revistarai.org |
_version_ |
1800221937241161728 |