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Value Co-Creation in Smart Services: A Functional Affordances Perspective on Smart Personal Assistants
Journal
Journal of the Association for Information Systems
ISSN
1536-9323
Type
journal article
Date Issued
2020-03-09
Author(s)
Research Team
IWI6
Abstract
In the realm of smart services, smart personal assistants (SPAs) have become a popular medium for value co-creation between service providers and users. The market success of SPAs is largely based on their innovative material properties, such as natural language user interfaces, machine-learning-powered request handling and service provision, and anthropomorphism. In different combinations, these properties offer users entirely new ways to intuitively and interactively achieve their goals and, thus, co-create value with service providers. But how does the nature of the SPA shape value co-creation processes? In this paper, we look through a functional affordances lens to theorize about the effects of different types of SPAs (i.e., with different combinations of material properties) on users' value co-creation processes. Specifically, we collected SPAs from research and practice by reviewing scientific literature and web resources, developed a taxonomy of SPAs' material properties, and performed a cluster analysis to group SPAs of a similar nature. We then derived 2 general and 11 cluster-specific propositions on how different material properties of SPAs can yield different affordances for value co-creation. With our work, we point out that smart services require researchers and practitioners to fundamentally rethink value co-creation as well as revise affordances theory to address the dynamic nature of smart technology as a service counterpart.
Language
English
Keywords
Affordances
Smart Personal Assistants
Smart Services
Value Co-Creation
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Assoc. of Information Systems
Volume
22
Number
2
Start page
418
End page
458
Official URL
Division(s)
Eprints ID
260279
File(s)
Loading...
open access
Name
JML_773.pdf
Size
1.19 MB
Format
Adobe PDF
Checksum (MD5)
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