A1 Journal article (refereed), original research

Hidden structure and value network: shedding light on position assessment

Publication Details
Authors: Karttunen Elina, Immonen Mika, Pynnönen Mikko, Koivuniemi Jouni
Publisher: Inderscience
Publication year: 2020
Language: English
Related Journal or Series Information: International Journal of Services and Operations Management
Volume number: 36
Issue number: 1
Start page: 1
End page: 19
Number of pages: 19
ISSN: 1744-2370
eISSN: 1744-2389
JUFO-Level of this publication: 1
Open Access: Not an Open Access publication


This study focuses on hierarchical
structures of value networks of service systems. But how can the central and
influential network positions be found in the value network? The position of actors is extracted using the hidden
structure method (HSM) and centrality metrics of social network analysis (SNA).
Both analyses apply adjacency matrix data that reveal direct dependencies of
actors in a value network. We measured indegree, outdegree, betweenness, and
closeness centralities to each actor to compare SNA and HSM results. HSM can
reveal the actors who conduct the most significant activities, as well as more
peripheral actors who have a strong influence on core actors. Thus, HSM does
not neglect the hierarchy between actors. Our methodological contribution
suggests that in parallel with widely used SNA centrality measures, researchers
should leverage HSM to define influential actors. Two pharmacy concepts in
Finland provide the empirical research context.

Last updated on 2020-24-04 at 08:26