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Adoption, use and management of process mining in practice

Adoption, use and management of process mining in practice This study explores how process managers perceive the adoption, use and management of process mining in practice. While research in process mining predominantly focuses on the technical aspects, our work highlights organizational and managerial implications.Design/methodology/approachWe report on a focus group study conducted with process managers from various industries in Central Europe. This setting allowed us to gain diverse and in-depth insights about the needs and expectations of practitioners in relation to the adoption, use and management of process mining.FindingsWe find that process managers face four central challenges. These challenges are largely related to four stages; (1) planning and business case calculation, (2) process selection, (3) implementation, and (4) process mining use.Research limitations/implicationsWe point to research opportunities in relation to the adoption, use and management of process mining. We suggest that future research should apply interdisciplinary study designs to better understand the managerial and organizational implications of process mining.Practical implicationsThe reported challenges have various practical implications at the organizational and managerial level. We explore how existing BPM frameworks can be extended to meet these challenges.Originality/valueThis study is among the first attempts to explore process mining from the perspective of process managers. It clarifies important challenges and points to avenues for future research. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Business Process Management Journal Emerald Publishing

Adoption, use and management of process mining in practice

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1463-7154
DOI
10.1108/bpmj-03-2020-0112
Publisher site
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Abstract

This study explores how process managers perceive the adoption, use and management of process mining in practice. While research in process mining predominantly focuses on the technical aspects, our work highlights organizational and managerial implications.Design/methodology/approachWe report on a focus group study conducted with process managers from various industries in Central Europe. This setting allowed us to gain diverse and in-depth insights about the needs and expectations of practitioners in relation to the adoption, use and management of process mining.FindingsWe find that process managers face four central challenges. These challenges are largely related to four stages; (1) planning and business case calculation, (2) process selection, (3) implementation, and (4) process mining use.Research limitations/implicationsWe point to research opportunities in relation to the adoption, use and management of process mining. We suggest that future research should apply interdisciplinary study designs to better understand the managerial and organizational implications of process mining.Practical implicationsThe reported challenges have various practical implications at the organizational and managerial level. We explore how existing BPM frameworks can be extended to meet these challenges.Originality/valueThis study is among the first attempts to explore process mining from the perspective of process managers. It clarifies important challenges and points to avenues for future research.

Journal

Business Process Management Journal – Emerald Publishing

Published: Mar 5, 2021

Keywords: Process mining; Organizational implications; Focus group; Leadership; Governance; Data privacy

References

  • Methodological proposal for process mining projects
    Aguirre, S.; Parra, C.; Sepúlveda, M.
  • Automated discovery of process models from event logs: review and benchmark
    Augusto, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Maggi, F.M.; Marrella, A.; Mecella, M.; Soo, A.
  • Organization, surveillance and the body: towards a politics of resistance
    Ball, K.
  • A structured approach to determining appropriate content for emerging information systems subjects: an example for BPM curricula design
    Bandara, W.; Rosemann, M.; Davies, I.G.; Tan, C.
  • Academics and practitioners are alike and unlike: the paradoxes of academic–practitioner relationships
    Bartunek, J.M.; Rynes, S.L.
  • Routines as shock absorbers during organizational transformation: integration, control, and NASA's enterprise information system
    Berente, N.; Lyytinen, K.; Yoo, Y.; King, J.L.
  • Seven paradoxes of business process management in a hyper-connected world
    Beverungen, D.; Buijs, J.C.; Becker, J.; Di Ciccio, C.; van der Aalst, W.M.; Bartelheimer, C.; vom Brocke, J.; Comuzzi, M.; Kraume, K.; Leopold, H.
  • Multidimensional process mining using process cubes
    Bolt, A.; van der Aalst, W.M.
  • Dealing with concept drifts in process mining
    Bose, R.J.C.; Van Der Aalst, W.M.; Žliobaitė, I.; Pechenizkiy, M.
  • Comprehensible predictive models for business processes
    Breuker, D.; Matzner, M.; Delfmann, P.; Becker, J.
  • Business intelligence and analytics: from big data to big impact
    Chen, H.; Chiang, R.H.; Storey, V.C.
  • What process mining is, and why companies should do it
    Davenport, T.H.; Spanyi, A.
  • Process Mining for the multi-faceted analysis of business processes—a case study in a financial services organization
    De Weerdt, J.; Schupp, A.; Vanderloock, A.; Baesens, B.
  • Resolving inconsistencies and redundancies in declarative process models
    Di Ciccio, C.; Maggi, F.M.; Montali, M.; Mendling, J.
  • Understanding the (re) creation of routines from within: a symbolic interactionist perspective
    Dionysiou, D.D.; Tsoukas, H.
  • Talking about routines: the role of reflective talk in routine change
    Dittrich, K.; Guérard, S.; Seidl, D.
  • Process mining techniques and applications-a systematic mapping study
    dos Santos Garcia, C.; Meincheim, A.; Junior, E.R.F.; Dallagassa, M.R.; Sato, D.M.V.; Carvalho, D.R.; Santos, E.A.P.; Scalabrin, E.E.
  • A case study lens on process mining in practice
    Emamjome, F.; Andrews, R.; ter Hofstede, A.H.
  • Pretsa: event log sanitization for privacy-aware process discovery
    Fahrenkrog-Petersen, S.A.; van der Aa, H.; Weidlich, M.
  • Beyond dualism: stability and change as a duality
    Farjoun, M.
  • Process mining methodology for health process tracking using real-time indoor location systems
    Fernandez-Llatas, C.; Lizondo, A.; Monton, E.; Benedi, J.-M.; Traver, V.
  • Procedure and guidelines for evaluation of BPM methodologies
    Filipowska, A.; Kaczmarek, M.; Kowalkiewicz, M.; Zhou, X.; Born, M.
  • Process mining and robotic process automation: a perfect match
    Geyer-Klingeberg, J.; Nakladal, J.; Baldauf, F.; Veit, F.; van der Aalst, W.; Casati, F.; Conforti, R.; de Leoni, M.; Dumas, M.
  • Two forms of organizational unlearning: insights from engaged scholarship research with change consultants
    Grisold, T.; Klammer, A.; Kragulj, F.
  • Using process mining to support theorizing about change in organizations
    Grisold, T.; Wurm, B.; Mendling, J.; vom Brocke, J.
  • Navigating through the maze of business process change methods
    Groß, S.; Malinova, M.; Mendling, J.
  • A study of quality and accuracy trade-offs in process mining
    Huang, Z.; Kumar, A.
  • Approaching the value of Privacy: review of theoretical privacy concepts and aspects of privacy management
    Hugl, U.
  • The case for process mining in auditing: sources of value added and areas of application
    Jans, M.; Alles, M.; Vasarhelyi, M.
  • Privacy protection in data mining: a perturbation approach for categorical data
    Li, X.-B.; Sarkar, S.
  • Towards comprehensive support for privacy preservation cross-organization business process mining
    Liu, C.; Duan, H.; Qingtian, Z.; Zhou, M.; Lu, F.; Cheng, J.
  • Privacy challenges for process mining in human-centered industrial environments
    Mannhardt, F.; Petersen, S.A.; Oliveira, M.F.
  • Privacy-preserving process mining
    Mannhardt, F.; Koschmider, A.; Baracaldo, N.; Weidlich, M.; Michael, J.
  • Business process mining success
    Mans, R.; Reijers, H.; Berends, H.; Bandara, W.; Rogier, P.
  • Building a complementary agenda for business process management and digital innovation
    Mendling, J.; Pentland, B.T.; Recker, J.
  • Pluralism and pragmatism in the information systems field: the case of research on business processes and organizational routines
    Mendling, J.; Berente, N.; Seidel, S.; Grisold, T.
  • Constructive deviance as a driver for performance in retail
    Mertens, W.; Recker, J.; Kummer, T.-F.; Kohlborn, T.; Viaene, S.
  • Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities
    Mikalef, P.; Krogstie, J.
  • Using text analytics to derive customer service management benefits from unstructured data
    Müller, O.; Junglas, I.; Debortoli, S.; vom Brocke, J.
  • Towards a typology of business process management professionals: identifying patterns of competences through latent semantic analysis
    Müller, O.; Schmiedel, T.; Gorbacheva, E.; Vom Brocke, J.
  • The effect of big data and analytics on firm performance: an econometric analysis considering industry characteristics
    Müller, O.; Fay, M.; vom Brocke, J.
  • Redesigning business processes: a methodology based on simulation and process mining techniques
    Măruşter, L.; van Beest, N.R.
  • Mining business process deviance: a quest for accuracy
    Nguyen, H.; Dumas, M.; La Rosa, M.; Maggi, F.M.; Suriadi, S.
  • Toward better understanding and use of Business Intelligence in organizations
    Olszak, C.M.
  • Using focus groups to evaluate artefacts in design research
    O'Raghallaigh, P.; Sammon, D.; Murphy, C.; Nagle, T.
  • Designing routines: on the folly of designing artifacts, while hoping for patterns of action
    Pentland, B.T.; Feldman, M.S.
  • Big data and privacy: control and awareness aspects
    Perreault, L.
  • Privacy-preserving process mining in healthcare
    Pika, A.; Wynn, M.T.; Budiono, S.; Ter Hofstede, A.H.; van der Aalst, W.M.; Reijers, H.A.
  • Monotone precision and recall measures for comparing executions and specifications of dynamic systems
    Polyvyanyy, A.; Solti, A.; Weidlich, M.; Di Ciccio, C.; Mendling, J.
  • Business process analysis in healthcare environments: a methodology based on process mining
    Rebuge, Á.; Ferreira, D.R.
  • Business intelligence effectiveness and corporate performance management: an empirical analysis
    Richards, G.; Yeoh, W.; Chong, A.Y.L.; Popovič, A.
  • Process mining in healthcare: a literature review
    Rojas, E.; Munoz-Gama, J.; Sepúlveda, M.; Capurro, D.
  • Culture in business process management: how cultural values determine BPM success
    Schmiedel, T.; vom Brocke, J.; Recker, J.
  • Towards an understanding of the role of business intelligence systems in organisational knowing
    Shollo, A.; Galliers, R.D.
  • Process mining for manufacturing process analysis: a case study
    Son, S.; Yahya, B.N.; Song, M.; Choi, S.; Hyeon, J.; Lee, B.; Jang, Y.; Sung, N.
  • Towards comprehensive support for organizational mining
    Song, M.; van der Aalst, W.M.
  • What makes change harder or easier
    Spiegel, M.; Schmiedel, T.; vom Brocke, J.
  • Propositions on the interaction of organizational culture with other factors in the context of BPM adoption
    Štemberger, M.I.; Buh, B.; Glavan, L.M.; Mendling, J.
  • Event log imperfection patterns for process mining: towards a systematic approach to cleaning event logs
    Suriadi, S.; Andrews, R.; ter Hofstede, A.H.; Wynn, M.T.
  • What theory is not
    Sutton, R.I.; Staw, B.M.
  • Discovering more precise process models from event logs by filtering out chaotic activities
    Tax, N.; Sidorova, N.; van der Aalst, W.M.
  • How is process mining technology used by organizations? A systematic literature review of empirical studies
    Thiede, M.; Fuerstenau, D.; Bezerra Barquet, A.P.
  • Getting value from Business Intelligence systems: a review and research agenda
    Trieu, V.-H.
  • Process mining: from theory to practice
    Turner, C.J.; Tiwari, A.; Olaiya, R.; Xu, Y.
  • Process mining: overview and opportunities
    van der Aalst, W.M.
  • A practitioner's guide to process mining: limitations of the directly-follows graph
    van der Aalst, W.M.
  • Process mining: a research agenda
    van der Aalst, W.M.; Weijters, A.J.
  • Business process mining: an industrial application
    van der Aalst, W.M.; Reijers, H.A.; Weijters, A.J.; van Dongen, B.F.; De Medeiros, A.A.; Song, M.; Verbeek, H.
  • PM2: a process mining project methodology
    van Eck, M.L.; Lu, X.; Leemans, S.J.; van der Aalst, W.M.
  • Factors influencing BPM tools: the influence on user experience and user interfaces
    Van Greunen, D.; Van Der Merwe, A.; Kotze, P.
  • Ten principles of good business process management
    vom Brocke, J.; Schmiedel, T.; Recker, J.; Trkman, P.; Mertens, W.; Viaene, S.
  • Call for papers: process mining at the enterprise level
    vom Brocke, J.; Mieke, J.; Mendling, J.; Reijers, H.
  • Learning in focus groups: an analytical dimension for enhancing focus group research
    Wibeck, V.; Dahlgren, M.A.; Öberg, G.
  • Focus group methodology: a review
    Wilkinson, S.
  • The BI-based organization
    Wixom, B.; Watson, H.
  • Context-aware predictive process monitoring: the impact of news sentiment
    Yeshchenko, A.; Durier, F.; Revoredo, K.; Mendling, J.; Santoro, F.