Abstract :
Summary form only given. Technology-supported social networks have been penetrating many aspects of our lives from friendships/blogging sites to working organizations. The recent advanced BAI (business analytics and business intelligence) systems, so, are started to adopt individuals, as employees of companies, and their work-sharing relationships as a sort of organizational knowledge in order to deliver quantum improvements in decision-making and organizational performance. Particularly, this tutorial focuses on a special type of organizational knowledge formed through the deployment and operations of workflow and BPM (business process management) technologies, which is dubbed `BPM-supported social network. For the sake of the advent of this new type of organizational knowledge, the tutorial introduces a theoretical framework consisting of discovering phase and analyzing phase, and its formalisms and algorithms for representing, discovering, analyzing, and visualizing BPM-supported social networks. Additionally, the tutorial gives a series of demos of systems that have been implemented in the name of a systematic framework for BPM-supported social network discovery and analytics by the CTRL research members. The systematic framework is able to automatically discover a BPM-supported social network from an XPDL business process model (or package), and to analyze the several types of workload-centrality measurements of every performer who is involved in enactment of the corresponding XPDL business process model.
Keywords :
business data processing; data visualisation; organisational aspects; personnel; social networking (online); BPM-supported social network analysis technique; BPM-supported social network discovery technique; BPM-supported social network representation; BPM-supported social network visualization; CTRL research members; XPDL business process model; XPDL package; analyzing phase; blogging sites; business analytics-and-business intelligence systems; business process management technologies; company employees; decision making improvement; discovering phase; friendship sites; organizational knowledge; organizational performance improvement; work-sharing relationships; workload-centrality measurements; Handheld computers;