IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-030-72090-2_12.html
   My bibliography  Save this book chapter

Business-Centred, Data-Centred, or User-Centred? A Perspective on the Role of Designerly Approaches to User Centricity in Big Data Innovation

In: Smart Services Summit

Author

Listed:
  • Thomas Abrell

Abstract

Digital innovation is of growing importance for manufacturing companies, potentially disrupting entire industries. Particularly the use of big data offers new grounds for innovation in product-service-systems. However, digital innovation poses challenges to incumbent companies on how innovations are created. With an abundance of technological possibilities, potential business challenges, and novel use cases, companies struggle to find the right approach to digital innovation. This conceptual paper builds on a study of big data innovation that proposes to either start with a data or business perspective in the ideation phase (Vanauer et al. 2015) and reflects these approaches with a user innovation perspective, suggesting that the changing role of users and customers in digital innovation may allow for a third, user-centred approach. While a data-centred approach starts with key resources, a business-centred approach starts with organisational goals that need to be fulfilled (Vanauer et al. 2015). Although both approaches may be suitable to lead to innovation, a user-centred approach may help to build big data innovation based on current and future user needs. While some studies criticized that a focus on users may lead to incremental innovation, this may be due to how users are involved. This study explores how designerly approaches such as service design and design thinking may be utilized for innovation of product-service-systems in the context of big data innovation. Based on these concepts, I formulate four propositions for future empirical and theoretical consideration.

Suggested Citation

  • Thomas Abrell, 2021. "Business-Centred, Data-Centred, or User-Centred? A Perspective on the Role of Designerly Approaches to User Centricity in Big Data Innovation," Progress in IS, in: Shaun West & Jürg Meierhofer & Christopher Ganz (ed.), Smart Services Summit, pages 131-141, Springer.
  • Handle: RePEc:spr:prochp:978-3-030-72090-2_12
    DOI: 10.1007/978-3-030-72090-2_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prochp:978-3-030-72090-2_12. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.