TY - GEN
T1 - Impact of socio-technical network on process performance
AU - Liu, Rong
AU - Kumar, Akhil
N1 - Publisher Copyright:
© 2014 ICST.
PY - 2015/1/19
Y1 - 2015/1/19
N2 - 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.
AB - 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.
KW - business process
KW - collaborative social network
KW - social BPM
KW - social network metrics
KW - socio-technical network
UR - http://www.scopus.com/inward/record.url?scp=84923041611&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84923041611&partnerID=8YFLogxK
U2 - 10.4108/icst.collaboratecom.2014257288
DO - 10.4108/icst.collaboratecom.2014257288
M3 - Conference contribution
AN - SCOPUS:84923041611
T3 - CollaborateCom 2014 - Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing
SP - 243
EP - 252
BT - CollaborateCom 2014 - Proceedings of the 10th IEEE International Conference on Collaborative Computing
T2 - 10th IEEE/EAI International Conference on Collaborative Computing, CollaborateCom 2014
Y2 - 22 October 2014 through 25 October 2014
ER -