Quotation Pfahlsberger, Lukas, Mendling, Jan. 2021. Design of a Process Mining Alignment Method for Building Big Data Analytics Capabilities. Proceedings of the 54th Hawaii International Conference on System Sciences.


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Abstract

Process mining is a big data analytics technique that supports business process management in an evidence-based way. Nowadays, companies struggle to build the required capabilities that lift process mining beyond technical proof-of-concept implementations. As research on process mining is largely limited to algorithm design and project management recommendations, current research does not understand well how process mining and complementary resources and capabilities can be aligned. By understanding those interrelations, companies learn to leverage their organizational potential during the execution of process mining more effectively and efficiently. In this paper, we address this research gap by using the design science research approach to develop a process mining alignment method. Our method supports companies mapping their individual technical requirements of process mining to their underlying organizational resources. We evaluate our method through a series of interviews with IT consultants.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Proceedings of the 54th Hawaii International Conference on System Sciences
Language English
Title Design of a Process Mining Alignment Method for Building Big Data Analytics Capabilities
Year 2021
URL https://scholarspace.manoa.hawaii.edu/handle/10125/71308
DOI http://dx.doi.org/10.24251/hicss.2021.688
Open Access Y
Open Access Link https://scholarspace.manoa.hawaii.edu/handle/10125/71308

Associations

People
Pfahlsberger, Lukas (Details)
Mendling, Jan (Former researcher)
Organization
Institute for Data, Process and Knowledge Management (AE Mendling) (Details)
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