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

Thomas Abrell ()

A chapter in Smart Services Summit, 2021, pp 131-141 from Springer

Abstract: 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.

Keywords: User innovation; Big data; Designerly approaches (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-72090-2_12

Ordering information: This item can be ordered from
http://www.springer.com/9783030720902

DOI: 10.1007/978-3-030-72090-2_12

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().