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Class Notes: Power of Text-mining in BPM

Blog: BPTrends - Class Notes

Jan vom Brocke, with his colleagues, Stefan Debortoli and Oliver Mueller, investigate text-mining’s potential to support BPM capabilities. Their results show that text-mining offers significant potential for building BPM capabilities in both exploitation and exploration. They identify the considerable potential of applying text-mining in BPM and conclude with a call for more discussion and contributions to this promising new lens through which to build BPM capabilities.

Author information

Jan vom Brocke

Jan vom Brocke

Jan vom Brocke is head of the BPM group in Liechtenstein. He is Professor of Information Systems, the Hilti Chair of Business Process Management, and Director of the Institute of Information Systems. He is Founder and Co-Director of the award-winning Master Program in Information Systems with Majors in Business Process Management and Data Science and Director of the PhD Program in Information and Process Management at the University of Liechtenstein(see: www.uni.li/mis). Since 2012 he has been appointed Vice-President of the University of Liechtenstein responsible for research and innovation, re-elected in 2015. Jan has over 15 years of experience in IT and BPM projects and he has published more than 300 papers in reknowned outlets, including MIS Quarterly (MISQ), the Journal of Management Information Systems (JMIS), European Journal of Information Systems (EJIS), and the Business Process Management Journal (BPMJ). He has authored and edited 29 books, including Business Process Management – Driving Innovation in a Digital World and Green BPM – Towards the Sustainable Enterprise, and the International Handbook on Business Process Management. Jan is an invited speaker and trusted advisor on BPM serving many organizations around the world. You can contact and follow Jan via his website: janvombrocke.com.

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