TY - GEN
T1 - Accelerating collaboration in task assignment using a socially enhanced resource model
AU - Liu, Rong
AU - Agarwal, Shivali
AU - Sindhgatta, Renuka R.
AU - Lee, Juhnyoung
PY - 2013
Y1 - 2013
N2 - Knowledge-intensive business processes require knowledge workers to collaborate on complex activities. Social network analysis is increasingly being applied in organizations to understand the underlying interaction patterns between teams and foster meaningful collaboration. The social positions of a worker, i.e. the role played in working with others, can be identified through analyzing process logs to assist effective collaboration. In this paper, we present a novel resource model that incorporates the concepts of resource communities and social positions. We demonstrate our resource model through a real industry process - IT incident management process. This socially enhanced resource model is also used to accelerate the collaboration between various work groups by dedicating collaborative units in the task of incident resolution.
AB - Knowledge-intensive business processes require knowledge workers to collaborate on complex activities. Social network analysis is increasingly being applied in organizations to understand the underlying interaction patterns between teams and foster meaningful collaboration. The social positions of a worker, i.e. the role played in working with others, can be identified through analyzing process logs to assist effective collaboration. In this paper, we present a novel resource model that incorporates the concepts of resource communities and social positions. We demonstrate our resource model through a real industry process - IT incident management process. This socially enhanced resource model is also used to accelerate the collaboration between various work groups by dedicating collaborative units in the task of incident resolution.
KW - BPM
KW - resource model
KW - social compute unit
KW - social network
UR - http://www.scopus.com/inward/record.url?scp=84881255665&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881255665&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-40176-3_21
DO - 10.1007/978-3-642-40176-3_21
M3 - Conference contribution
AN - SCOPUS:84881255665
SN - 9783642401756
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 251
EP - 258
BT - Business Process Management - 11th International Conference, BPM 2013, Proceedings
T2 - 11th International Conference on Business Process Management, BPM 2013
Y2 - 26 August 2013 through 30 August 2013
ER -