Applying Process Mining in Small and Medium Sized IT Enterprises – Challenges and Guidelines

Eggert, Mathias; Dyong, Julian

doi:10.1007/978-3-031-16103-2_11

Cited by 4 publications

(13 citation statements)

References 47 publications

(3 reference statements)

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“…Indeed, it might be difficult to use PM, especially for SMEs (family and non-family ones) due to their limited resources and lower process maturity [12]. The increasing capability to generate and store data and the growing fusion of the physical and digital worlds are fostering the use of PM.…”

Section: Applications Of Pm In Fsmes: a Literature Reviewmentioning

confidence: 99%

“…Drawing upon a multi-criteria framework, three techniques were used, namely, ontology, decision trees, and AHP, to list and explain the parameters that can help compare instruments to choose which software product best meets a company's needs according to the challenges that organizations meet. Eggert & Dyong [12] recognized the challenging characteristics of applying PM for SMEs due to the scarcity of resources and immaturity of processes. This study looked into the use of PM and clarified the difficulties faced by an IT SME.…”

Section: Applications Of Pm In Fsmes: a Literature Reviewmentioning

confidence: 99%

“…[17] The primary difficulty is the alignment of software characteristics with an organization's needs. [12] The main barriers are (1) limited resources and (2) lower process maturity.…”

Section: Referencesmentioning

confidence: 99%

“…The study recognizes the same challenges as [12]: (1) the immaturity of processes, (2) lack of managerial and internal skills that can help evolve the processes, (3) high levels of informatization, (4) low quality of documentation, (5) lack of change management, and (6) high levels of changing the workforce. [35] The critical factors are that non-technical factors are also essential for the implementation and administration of PM and the creation and enhancement of algorithms.…”

Section: Referencesmentioning

confidence: 99%

“…Previous studies have identified several pre-requisite and key factors that determine the success of applying PM tools within SMEs (family and non-family SMEs). These challenges could be technical, such as incompatible systems, impracticable event-logs with mistakes, a lack of IS availability and data collection operations, process unaware IS, and incorrect PM algorithm configuration, or organizational, such as a lack of stakeholder support and involvement, lack of managers and staff technical experience and expertise, managers' lack of awareness in processing notion and quality tools, poor change management, poor project management, lack of training, scarcity of resources, and immaturity of processes [6,[11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Eliminating Non-Value-Added Activities and Optimizing Manufacturing Processes Using Process Mining: A Stock of Challenges for Family SMEs

Laghouag,

Zafrah,

Qureshi

et al. 2024

Sustainability

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Family small and medium enterprises (FSMEs) differ from non-family SMEs regarding leadership type, human resource management practices, innovation orientation, change management, information and communication technology deployment, process maturity, and resource availability. These differences present challenges when leading any change. Process mining (PM) tools can optimize process value and eliminate non-added-value activities in FSMEs based on “Event Logs”. The present study investigates how a PM project is implemented in an FSME operating in the agri-food sector, focusing on challenges faced in every project phase to extract the most appropriate process that eliminates all sources of waste and bottleneck cases. Drawing upon the L*Lifecycle methodology combined with quality and lean management tools such as the fishbone diagram, Pareto diagram, and overall equipment efficiency (OEE), this study applied a PM project to a manufacturing process for an FSME operating in the agri-food sector. To achieve theoretical production capacity (TPC) and customer satisfaction, the method was analyzed and optimized using Disco and ProM toolkits. The results analysis using Disco and ProM toolkits gave clues about the organizational and technical causes behind the manufacturing process’s inefficiency. First, OEE showed that the studied FSME is struggling with equipment availability. Then, the implementation of the L*Lifecycle methodology allowed for the identification of five critical causes. An action plan to eliminate causes was proposed to the FSME managers.

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Section: Applications Of Pm In Fsmes: a Literature Reviewmentioning

confidence: 99%

Section: Applications Of Pm In Fsmes: a Literature Reviewmentioning

confidence: 99%

“…[17] The primary difficulty is the alignment of software characteristics with an organization's needs. [12] The main barriers are (1) limited resources and (2) lower process maturity.…”

Section: Referencesmentioning

confidence: 99%

Section: Referencesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Eliminating Non-Value-Added Activities and Optimizing Manufacturing Processes Using Process Mining: A Stock of Challenges for Family SMEs

Laghouag,

Zafrah,

Qureshi

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

What makes life for process mining analysts difficult? A reflection of challenges

Zimmermann,

Zerbato,

Weber

2023

Softw Syst Model

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Over the past few years, several software companies have emerged that offer process mining tools to assist enterprises in gaining insights into their process executions. However, the effective application of process mining technologies depends on analysts who need to be proficient in managing process mining projects and providing process insights and improvement opportunities. To contribute to a better understanding of the difficulties encountered by analysts and to pave the way for the development of enhanced and tailored support for them, this work reveals the challenges they perceive in practice. In particular, we identify 23 challenges based on interviews with 41 analysts, which we validate using a questionnaire survey. We provide insights into the relevancy of the process mining challenges and present mitigation strategies applied in practice to overcome them. While mitigation strategies exist, our findings imply the need for further research to provide support for analysts along all phases of process mining projects on the individual level, but also the technical, group, and organizational levels.

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Process Mining Success Factors and Their Interrelationships

Mamudu,

Bandara,

Wynn

et al. 2024

Bus Inf Syst Eng

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Process mining—a suite of techniques for extracting insights from event logs of Information Systems (IS)—is increasingly being used by a wide range of organisations to improve operational efficiency. Despite extensive studies of Critical Success Factors (CSFs) in related domains, CSF studies tailored to process mining are limited. Moreover, these studies merely identify factors and do not provide essential details such as a clear conceptual understanding of success factors and their interrelationships. Through a multi-phased approach (applying published process mining case studies, conducting two in-depth case studies and expert interviews), this paper presents an empirically validated process mining CSF model and CSF interrelationships. This validated CSF model identifies ten process mining CSFs, explains how these factors relate to the process mining context and analyses their interrelationships with regard to process mining success. The findings provide a guide for organisations to invest in the right mix of CSFs for value realisation in process mining practice.

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Applying Process Mining in Small and Medium Sized IT Enterprises – Challenges and Guidelines

Cited by 4 publications

References 47 publications

Eliminating Non-Value-Added Activities and Optimizing Manufacturing Processes Using Process Mining: A Stock of Challenges for Family SMEs

Eliminating Non-Value-Added Activities and Optimizing Manufacturing Processes Using Process Mining: A Stock of Challenges for Family SMEs

What makes life for process mining analysts difficult? A reflection of challenges

Process Mining Success Factors and Their Interrelationships

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