IDEAS home Printed from https://ideas.repec.org/a/taf/servic/v41y2021i15-16p1007-1028.html
   My bibliography  Save this article

Service modularity: literature overview of concepts, effects, enablers, and methods

Author

Listed:
  • Camila Silva de Mattos
  • Diego Castro Fettermann
  • Paulo A. Cauchick-Miguel

Abstract

The literature on service modularity is still scarce, and a comprehensive review, encompassing the main aspects related to its implementation, has not yet been addressed. This paper presents an overview of service modularity concepts, effects, enablers, and methods by conducting a systematic literature review. The review considers 67 peer-reviewed journal articles, published from 1994 to 2017. This work outlines the evolution of the service modularity field and discusses its specific features and main concepts. The results demonstrate that: (i) most service modularity literature is still based on a product modularity theoretical background; (ii) there is no consensus regarding the definition of a service module; (iii) the literature emphasizes the benefits expected from service modularization and, in general, neglects its risks; and (iv) there is a lack of methods and tools to support the testing and interface definition phases of service modularization. Finally, this work also provides direction for future research.

Suggested Citation

  • Camila Silva de Mattos & Diego Castro Fettermann & Paulo A. Cauchick-Miguel, 2021. "Service modularity: literature overview of concepts, effects, enablers, and methods," The Service Industries Journal, Taylor & Francis Journals, vol. 41(15-16), pages 1007-1028, December.
    • Handle: RePEc:taf:servic:v:41:y:2021:i:15-16:p:1007-1028
    DOI: 10.1080/02642069.2019.1572117
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02642069.2019.1572117
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02642069.2019.1572117?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vatankhah, Sanaz & Bamshad, Vahideh & Altinay, Levent & De Vita, Glauco, 2023. "Understanding business model development through the lens of complexity theory: Enablers and barriers," Journal of Business Research, Elsevier, vol. 155(PA).

    More about this item

    Statistics

    Access and download statistics

    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:taf:servic:v:41:y:2021:i:15-16:p:1007-1028. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/FSIJ20 .

    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.