Impact of socio-technical network on process performance

Rong Liu, Akhil Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

There is a growing interest in socio-technical networks that encompass people, process and technology. They capture connections among technical artifacts and human resources. Existing studies have shown that social networks among resources that collaborate to work on a business process instance have an impact on the performance of the instance. Hence, the social network among the resources should be aligned with the technical work structure. Thus, we propose to identify empirically the specific features of social networks (e.g. size, closeness, density, etc.) that have the most significant impact on the performance of a process. Then, we can leverage these significant social network features to optimize dynamic assignment of tasks to resources for better performance. In general, organizations can use this two-part approach to evaluate their resource social networks and shape their resource networks to achieve socio-technical network alignment. We use real data from business processes in the IT incident management domain for this study to demonstrate our proposed methodology.

Original languageEnglish (US)
Title of host publicationCollaborateCom 2014 - Proceedings of the 10th IEEE International Conference on Collaborative Computing
Subtitle of host publicationNetworking, Applications and Worksharing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages243-252
Number of pages10
ISBN (Electronic)9781631900433
DOIs
StatePublished - Jan 19 2015
Event10th IEEE/EAI International Conference on Collaborative Computing, CollaborateCom 2014 - Miami, United States
Duration: Oct 22 2014Oct 25 2014

Publication series

NameCollaborateCom 2014 - Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Other

Other10th IEEE/EAI International Conference on Collaborative Computing, CollaborateCom 2014
CountryUnited States
CityMiami
Period10/22/1410/25/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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    Liu, R., & Kumar, A. (2015). Impact of socio-technical network on process performance. In CollaborateCom 2014 - Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (pp. 243-252). [7014570] (CollaborateCom 2014 - Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.4108/icst.collaboratecom.2014257288