Analyzing the Structure and Complexity of a service Provision Network: Potential Applications to Network Assessment
Miguel Ángel Sicilia Urban () and
Manuel Jesús Prieto Martín ()
Additional contact information
Miguel Ángel Sicilia Urban: Universidad de Alcalá de Henares
Manuel Jesús Prieto Martín: Universidad de Alcalá de Henares
A chapter in Management of the Interconnected World, 2010, pp 45-52 from Springer
Abstract:
Abstract Measuring service structure is a requirement to advance our scientific understanding of service provision. This paper describes a method to analyze some aspects of service complexity from the viewpoint of the number of collaborating elements and their relations. All these relationships determine to some extent the complexity of the service production and indirectly, its final quality and the possible incidents during service provision. The properties of these networks of collaborations are candidates to devise measures of structure and complexity that are meaningful for system design. The approach to measuring complexity in this paper provides an analytical framework for the assessment of the design of the service, focusing on critical structural points.
Keywords: Service Provision; Service Network; Service Complexity; Front Stage; Network Assessment (search for similar items in EconPapers)
Date: 2010
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:sprchp:978-3-7908-2404-9_6
Ordering information: This item can be ordered from
http://www.springer.com/9783790824049
DOI: 10.1007/978-3-7908-2404-9_6
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().