TY - GEN
T1 - The Benefits of Applying Social Network Analysis to Identify Collaborative Risks
AU - Nunes, Marco
AU - Abreu, António
N1 - Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Case study
KW - Collaborative risks
KW - Organizational business intelligence architecture
KW - Organizational performance
KW - Social network analysis
UR - http://www.scopus.com/inward/record.url?scp=85111959653&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78288-7_2
DO - 10.1007/978-3-030-78288-7_2
M3 - Conference contribution
AN - SCOPUS:85111959653
SN - 9783030782870
T3 - IFIP Advances in Information and Communication Technology
SP - 16
EP - 23
BT - Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Ferreira, Pedro
A2 - Brito, Guilherme
PB - Springer Science and Business Media Deutschland GmbH
T2 - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
Y2 - 7 July 2021 through 9 July 2021
ER -