The Benefits of Applying Social Network Analysis to Identify Collaborative Risks - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

The Benefits of Applying Social Network Analysis to Identify Collaborative Risks

Marco Nunes
  • Fonction : Auteur
  • PersonId : 1135882
António Abreu
  • Fonction : Auteur
  • PersonId : 992673

Résumé

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
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

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

Licence

Paternité

Identifiants

Citer

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⟩
24 Consultations
6 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More