Process Versus Knowledge Interdependencies: Balancing Alternative Grouping Criteria

Runar Solberg, Ali Yassine, Nicolay Worren, Tore Christiansen

Research output: Contribution to conferencePaperpeer-review

Abstract

When creating team-based DSMs, researchers have traditionally focused on capturing interactions due to work process interdependencies. Grouping or clustering of DSM elements (roles or units) has then been performed to minimize coordination costs. However, recent research suggests that work process interdependencies are distinct from knowledge interdependencies, which may suggest an alternative grouping criterion, namely, to maximize functional learning. We explore this possibility by proposing a survey approach to map knowledge interdependencies in addition to work process interdependencies. We use a multicriteria method, known as the analytical hierarchy process (AHP), to weigh the two criteria, and propose a revised clustering method to find groupings that satisfy both criteria.

Original languageEnglish
Pages98-107
Number of pages10
StatePublished - 2024
Event26th International Dependency and Structure Modeling Conference, DSM 2024 - Stuttgart, Germany
Duration: 24 Sep 202426 Sep 2024

Conference

Conference26th International Dependency and Structure Modeling Conference, DSM 2024
Country/TerritoryGermany
CityStuttgart
Period24/09/2426/09/24

Keywords

  • clustering
  • criteria
  • Design Structure Matrix (DSM)
  • knowledge interdependencies
  • organization design

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