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Pregled bibliografske jedinice broj: 1007787

Forecasting of emerging therapeutic monoclonal antibodies patents based on a decision model

Pereira, Cristiano Gonçalves; Lavoie, Joao Ricardo; Garces, Edwin; Basso, Fernanda; Dabić, Marina; Porto, Geciane Silveira; Daim, Tugrul
Forecasting of emerging therapeutic monoclonal antibodies patents based on a decision model // Technological forecasting and social change, 139 (2019), 185-199 doi:10.1016/j.techfore.2018.11.002 (međunarodna recenzija, članak, znanstveni)

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Naslov
Forecasting of emerging therapeutic monoclonal antibodies patents based on a decision model

Autori
Pereira, Cristiano Gonçalves ; Lavoie, Joao Ricardo ; Garces, Edwin ; Basso, Fernanda ; Dabić, Marina ; Porto, Geciane Silveira ; Daim, Tugrul

Izvornik
Technological forecasting and social change (0040-1625) 139 (2019); 185-199

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Technology forecasting ; Decision-making models ; Patent assessment ; Biotechnology ; Monoclonal antibodies

Sažetak
Therapeutic monoclonal antibodies (mAbs) market is strongly contributing to the rising growth of the biotechnology industry. Despite the increasing number of inventions over time, a few therapeutic mAbs are currently marketed. This paper focuses on developing an emerging score to select/rank promising therapeutic mAbs patents, based on a hierarchical decision model using expert's opinion. Six attributes related to each factor concerning patent status, patent owner's profile and mAbs medical relevance were analyzed. The desirability levels of each attribute were also assessed. Our data shows the medical relevance factor as the most important, contributing 50% of the emerging score. Among the attributes, the most important under patent status was proper geographic coverage and wider patent scope ; for organization's profile was the preexistence of approved drugs ; and for medical relevance, the clinical phase performance. A group of 1053 patents related to therapeutic mAb were scored, and the most promising were concerning combination therapy using immune checkpoint inhibitors. The study has managerial implications related to patent portfolio management and patent valuation and provides instructions to rank mAbs patents according to the emerging score defined by attribute's importance in order to improve the identification of future innovations pathways.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo, Interdisciplinarne tehničke znanosti, Biotehnologija, Ekonomija



POVEZANOST RADA

Ustanove:
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Marina Dabić (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

Pereira, Cristiano Gonçalves; Lavoie, Joao Ricardo; Garces, Edwin; Basso, Fernanda; Dabić, Marina; Porto, Geciane Silveira; Daim, Tugrul
Forecasting of emerging therapeutic monoclonal antibodies patents based on a decision model // Technological forecasting and social change, 139 (2019), 185-199 doi:10.1016/j.techfore.2018.11.002 (međunarodna recenzija, članak, znanstveni)
Pereira, C., Lavoie, J., Garces, E., Basso, F., Dabić, M., Porto, G. & Daim, T. (2019) Forecasting of emerging therapeutic monoclonal antibodies patents based on a decision model. Technological forecasting and social change, 139, 185-199 doi:10.1016/j.techfore.2018.11.002.
@article{article, author = {Pereira, Cristiano Gon\c{c}alves and Lavoie, Joao Ricardo and Garces, Edwin and Basso, Fernanda and Dabi\'{c}, Marina and Porto, Geciane Silveira and Daim, Tugrul}, year = {2019}, pages = {185-199}, DOI = {10.1016/j.techfore.2018.11.002}, keywords = {Technology forecasting, Decision-making models, Patent assessment, Biotechnology, Monoclonal antibodies}, journal = {Technological forecasting and social change}, doi = {10.1016/j.techfore.2018.11.002}, volume = {139}, issn = {0040-1625}, title = {Forecasting of emerging therapeutic monoclonal antibodies patents based on a decision model}, keyword = {Technology forecasting, Decision-making models, Patent assessment, Biotechnology, Monoclonal antibodies} }
@article{article, author = {Pereira, Cristiano Gon\c{c}alves and Lavoie, Joao Ricardo and Garces, Edwin and Basso, Fernanda and Dabi\'{c}, Marina and Porto, Geciane Silveira and Daim, Tugrul}, year = {2019}, pages = {185-199}, DOI = {10.1016/j.techfore.2018.11.002}, keywords = {Technology forecasting, Decision-making models, Patent assessment, Biotechnology, Monoclonal antibodies}, journal = {Technological forecasting and social change}, doi = {10.1016/j.techfore.2018.11.002}, volume = {139}, issn = {0040-1625}, title = {Forecasting of emerging therapeutic monoclonal antibodies patents based on a decision model}, keyword = {Technology forecasting, Decision-making models, Patent assessment, Biotechnology, Monoclonal antibodies} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus

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