The Benefits of Applying Social Network Analysis to Identify Collaborative Risks - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021 Access content directly
Conference Papers Year : 2021

The Benefits of Applying Social Network Analysis to Identify Collaborative Risks

Marco Nunes
  • Function : Author
  • PersonId : 1135882
António Abreu
  • Function : Author
  • PersonId : 992673

Abstract

It is often argued that efficient collaboration is the key for successful organizations. However, achieving efficient collaboration still represents a challenge for most organizations. Often, hidden involuntary behaviors (also known as behavioral risks), threat efficient collaboration in a blink of an eye. Either by the lack of supportive models to manage sscollaboration or due to misunderstandings of what the different dimensions of collaboration are and represent, most organizations fear the engagement in collaborative approaches due the high chances of failure. In this work is proposed a heuristic model to identify organizational collaborative risks by applying social network analysis . This work aims to illustrate how organizations can benefit from the application of social network analysis in the efficient identification and management of collaborative risks. A case study illustrates the application of the proposed model in this work.
Fichier principal
Vignette du fichier
512066_1_En_2_Chapter.pdf (331.34 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03685933 , version 1 (02-06-2022)

Licence

Attribution

Identifiers

Cite

Marco Nunes, António Abreu. The Benefits of Applying Social Network Analysis to Identify Collaborative Risks. 12th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Jul 2021, Costa de Caparica, Portugal. pp.16-23, ⟨10.1007/978-3-030-78288-7_2⟩. ⟨hal-03685933⟩
23 View
6 Download

Altmetric

Share

Gmail Facebook X LinkedIn More