[AISWorld] Call for papers BISE: Special issue on Process Mining at the Enterprise Level

[Hajo Reijers]

Call for papers: Process Mining at the Enterprise Level (
http://www.bise-journal.com/?p=1829)
Special Issue of Business & Information Systems Engineering (
http://www.bise-journal.com/)


Theme

Process Mining is a novel technology that helps enterprises to better
understand their business processes. Over the last 20 years, there has been
intensive research into various process mining techniques. These techniques
support the automatic discovery of business process models from event log
data, the checking of conformance between specified and observed behavior,
the identification of various variants of a business process, non-compliant
behavior, performance-relevant insights, and so forth.

Research on process mining has mostly focused on devising new or better
algorithms (see van der Aalst 2016; Augusto et al. 2019). There are a few
exceptions, among others the following. Van der Aalst et al. (2007) were
the first ones to discuss process mining from the perspective of
applications in industrial practice. Jans et al. (2014) applied process
mining techniques to enrich audit evidence during a financial statement
audit. Vom Brocke and Mendling (2018) present various applications of
process mining in hospitals, insurances, software usability analysis, and
logistics.

In recent years, process mining has found its way into enterprise software
(Dumas et al. 2019), and has, thus, become available for companies in their
daily practice of business process management. Companies like Celonis,
Fluxicon, Signavio, and Software AG are among the roughly 20 companies that
Gartner monitors. Kerremans (2019) from Gartner identifies business process
improvement, auditing and compliance, process automation, digital
transformation, and IT operations (in order of decreasing importance) as
practical use cases for process mining in enterprise settings.

Some contributions have been made towards understanding process mining from
an enterprise perspective. For instance, van Eck et al. (2015) and Aguirre
et al. (2017) describe methodologies how process mining projects can be
conducted and Maruster and van Beest (2009) provide a methodology how
business processes can be redesigned with the help of process mining.
Examples of domain-specific proposals in healthcare are Rebuge and Ferreira
(2012) and Fernandez-Llatas et al. (2015). Grisold et al. (2020) have
introduced process mining as a strategy of inquiry to study in
organizational science and to study organizational change in specific. Mans
et al. (2013) have identified success factors for process mining projects.
However, what is largely missing so far is research on how enterprises
adopt process mining technology and how they integrate it into their
information systems landscape.


Invited Contributions

The ambition behind this special issue is to fill the described research
gap. We invite original contributions that investigate how enterprises
actually adopt and use process mining software. We are specifically
interested in submissions that make use of the extensive set of theories
that have been discussed in information systems research and organizational
science. These contributions are expected to utilize empirical research
methods such as case studies, surveys, experiments (to name but a few)
towards leveraging insights into how and why enterprises succeed or fail
when adopting and using process mining software.

Topics that are welcomed include, but are not limited to the following:

- How is process mining used and adopted at the enterprise level?

- What is the potential of using various types of data in process mining?

- How does process mining complement other approaches and technologies?

- How do enterprises build suitable data sets?

- What are the implications for management of using process mining?

- Which governance structures do enterprises develop for process mining?

- How do enterprises calculate the business case of process mining?

- How does process mining change organizational culture?

- How does process mining change the required skill sets of tool users?

- How is process mining integrated into the IT landscape?

- How is process mining integrated with existing business process
methodologies?

- How is process mining adopted in specific application domains, e.g.,
accounting, health, finance, HR, tax, etc.?

 - How is process mining used to support digital transformation initiatives?

 - What strategic implications for enterprises emerge from process mining
usage?

 - What is the business impact of adopting process mining?

 - What is the overall business value of process mining?

 - What is the transformative nature of process mining at the enterprise
level?



Submission Guidelines

Please submit papers by 1 Nov 2020 at the latest via the journal’s online
submission system (http://www.editorialmanager.com/buis/). Please observe
the instructions regarding the format and size of contributions to Business
& Information Systems Engineering (BISE). Papers should adhere to the
submission general BISE author guidelines (
http://www.bise-journal.com/author_guidelines).

All papers will be reviewed anonymously (double-blind process) by at least
two referees with regard to relevance, originality, and research quality.
In addition to the editors of the journal, including those of this special
focus, distinguished international scholars will be involved in the review
process.



Schedule

- Submission Deadline: 01 November 2020

- Author Notification 1: 06 January 2021

- Completion Revision 1: 01 March 2021

- Author Notification 2: 15 April 2021

- Completion Revision 2: 22 May 2021

- Final Workshop Meeting: with ECIS 2021 in Timisoara, Romania, (mandatory
of acceptance candidates)



Editors of the Special Issue

- Jan vom Brocke, University of Liechtenstein, Vaduz, Liechtenstein

- Mieke Jans, Hasselt University, Hasselt, Belgium

- Jan Mendling, Vienna University of Economics and Business, Vienna, Austria
(corresponding editor: jan.mendling at wu.ac.at)

- Hajo A. Reijers, Utrecht University, Utrecht, The Netherlands



References

Aguirre S, Parra C, Sepúlveda M (2017) Methodological proposal for process
mining projects. Int J Bus Process Integr Manag 8(2):102-113

Augusto A, Conforti R, Dumas M, La Rosa M, Maggi FM, Marrella A, Mecella M,
Soo A (2019) Automated discovery of process models from event logs: review
and benchmark. IEEE Trans Knowl Data Eng 31(4):686-705

Dumas M, La Rosa M, Mendling J, Reijers HA (2018) Fundamentals of business
process management, 2nd edn. Springer, Heidelberg

Fernández-Llatas C, Lizondo A, Monton E, Benedí J-M, Traver V (2015)
Process mining methodology for health process tracking using real-time
indoor location systems. Sensors 15(12):29821-29840

Grisold T, Wurm B, Mendling J, vom Brocke J (2020) Using process mining to
support theorizing about change in organizations. In: Proceedings HICSS 2020

Jans M, Alles MG, Vasarhelyi MA (2014) A field study on the use of process
mining of event logs as an analytical procedure in auditing. Account Rev
89(5):1751-1773

Kerremans M (2019) Market guide for process mining. Gartner Report

Mans R, Reijers HA, Berends H, Bandara W, Prince R (2013) Business process
mining success. In: Proceedings ECIS 2013, pp 89 ff

Maruster L, van Beest NRTP (2009) Redesigning business processes: a
methodology based on simulation and process mining techniques. Knowl Inf
Syst 21(3):267-297

Rebuge A, Ferreira DR (2012) Business process analysis in healthcare
environments: a methodology based on process mining. Inf Syst 37(2):99-116

van der Aalst WMP (2016) Process mining – data science in action, 2nd edn.
Springer, Heidelberg

van der Aalst WMP, Reijers HA, Weijters AJMM, van Dongen BF, Alves de
Medeiros AK, Song M, Verbeek HMW (2007) Business process mining: an
industrial application. Inf Syst 32(5):713-732

van Eck ML, Lu X, Leemans SJJ, van der Aalst WMP (2015) PM^2 : A Process
Mining Project Methodology. In: Proceedings CAiSE 2015, pp 297-313

vom Brocke J, Mendling J (2018) Business process management cases, digital
innovation and business transformation in practice. Springer, Heidelberg