IDEAS home Printed from https://ideas.repec.org/a/eme/inmrpp/inmr-08-2021-0144.html
   My bibliography  Save this article

The orchestration of dynamic capabilities in cleantech companies

Author

Listed:
  • Matheus Eurico Soares de Noronha
  • Diandra Maynne Ferraro
  • Leonardo Reis Longo
  • Scarlet Simonato Melvin

Abstract

Purpose - The aim of this article is to present a model for the orchestration of dynamic capabilities (ODCs) in cleantech companies that aim to obtain competitive advantage in the market. Design/methodology/approach - The authors present herein descriptive research guided by a qualitative multiple case study approach carried out with 12 cleantech companies. Findings - The results have showed that the ODC model is present in the product/process cycle, thus providing new capabilities and generating sustainable competitive advantage through the research categories presented. Research limitations/implications - This study contributes to the literature on the ODCs through microfoundations based on evidence of companies inserted in technological and intensively dynamic contexts. Practical implications - This article demonstrates, through the ODC model, the main capabilities and characteristics of the assets of cleantech companies and how the process of renewing competencies to obtain competitive advantage occurs. Originality/value - The ODC model utilizes technological resources in the product/process cycle. Asset specificity and the capacity for innovation allow cleantech companies to explore regulatory loopholes, making their sustainable model innovative and obtaining competitive advantage through the renewal of entrepreneurial capabilities and competencies.

Suggested Citation

  • Matheus Eurico Soares de Noronha & Diandra Maynne Ferraro & Leonardo Reis Longo & Scarlet Simonato Melvin, 2022. "The orchestration of dynamic capabilities in cleantech companies," Innovation & Management Review, Emerald Group Publishing Limited, vol. 21(1), pages 15-27, April.
  • Handle: RePEc:eme:inmrpp:inmr-08-2021-0144
    DOI: 10.1108/INMR-08-2021-0144
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/INMR-08-2021-0144/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: no

    File URL: https://www.emerald.com/insight/content/doi/10.1108/INMR-08-2021-0144/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: no

    File URL: https://libkey.io/10.1108/INMR-08-2021-0144?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:inmrpp:inmr-08-2021-0144. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emerald Support (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.