@inproceedings{fd4181afde654b79be00348196890fba,
title = "Interpreting overlaps in business process mapping via organisational soft knowledge flows",
abstract = "Knowledge Management (KM) as the term implies, is broadly about improving knowledge use within an organisation. At a lower level, Business Process Management (BPM) is the set of management activities related to business processes that can ideally be arranged in a life cycle. Social Network Analysis (SNA) is a technique enabling the researcher to better understand interactions between people. Relatively little research has been conducted with regard to the crossover of social networks and workflows, with the aim of examining workflows as management views them, as opposed to the actual social interactions of staff. Improvements in the overlay of management interpretations of work and real social networks could potentially lead to improvements in business process efficacy. In this study SNA diagrams are examined in order to implement executable models and potentially enable automated analysis of workflows. A means of converting SNA data to Business Process workflows is presented and an example provided.",
keywords = "Business process management, Business process modelling, Formalisation, Knowledge management, Petri nets, Social network analysis, Workflow",
author = "Alis Keshishi and Peter Busch",
year = "2014",
doi = "10.1007/978-3-319-13332-4_17",
language = "English",
isbn = "9783319133317",
series = "Lecture Notes in Artificial Intelligence",
publisher = "Springer, Springer Nature",
pages = "209--222",
editor = "Kim, {Yang Sok} and Kang, {Byeong Ho} and Deborah Richards",
booktitle = "Knowledge Management and Acquisition for Smart Systems and Services",
address = "United States",
note = "13th Pacific Rim Knowledge Acquisition Workshop, PKAW 2014 ; Conference date: 01-12-2014 Through 02-12-2014",
}