=Paper=
{{Paper
|id=Vol-3648/paper_5491
|storemode=property
|title=Unlocking Success in Process Mining Adoption: A Comprehensive Exploration of Human Resources and Team Configurations
|pdfUrl=https://ceur-ws.org/Vol-3648/paper_5491.pdf
|volume=Vol-3648
|authors=Simin Maleki Shamasbi
|dblpUrl=https://dblp.org/rec/conf/icpm/Shamasbi23
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==Unlocking Success in Process Mining Adoption: A Comprehensive Exploration of Human Resources and Team Configurations==
https://ceur-ws.org/Vol-3648/paper_5491.pdf
Unlocking Success in Process Mining Adoption: A
Comprehensive Exploration of Human Resources and
Team Configuration
Simin Maleki Shamasbi
Ghent University, 9000 Ghent, Belgium
Abstract
Process mining, while rooted in technical intricacies, is greatly influenced by the human component that
drives its adoption. Moving beyond the purely technical aspects of process mining, my PhD research
emphasizes the often-overlooked human element in process mining adoption, shedding light on the
intricate interplay between technology and the people who wield it. This paper outlines the research
project that delves into the dynamics of team configurations, seeking to understand and optimize them
for more effective process mining implementation. Adopting a mixed-method approach, my PhD
research intricately weaves quantitative data with qualitative insights, ensuring a comprehensive
understanding of the subject. My study underscores the significance of a people-centric approach,
advocating that the success of process mining projects hinges not just on the technology itself, but also
on the competencies, role, and configurations of teams behind it. Through this lens, this project offer
organizations a roadmap to seamlessly integrate process mining into their operations, ensuring both
technological prowess and human expertise are harmoniously aligned.
Keywords
process mining, organizational implications, human resources, team configuration, adoption,1
1. Introduction and Problem Statement
Process mining (PM) is a promising technology for the visualization, analysis, and enhancement
of business processes [6]. Recent claims suggest that PM implications are key to understanding
the (un-) successful adoption of this technology, calling for organizational and managerial
implications [6], [14]. Socio-technical aspects are also deemed crucial, necessitating behavioral
and design-oriented contributions [16]. In PM projects, a clear pathway is needed to address
various aspects. Central to this is the recognition that socio-technical considerations are
fundamentally anchored in the capabilities of individuals within organizations. This realization
highlights the importance of human capabilities and exploration of the essential competencies
and skills [13]. Consequently, research on a sound team configuration [9] and people-related
aspects such as competencies (skill sets), job roles (job positions), and tasks (responsibilities)
become imperative in PM adoption. Recent endeavors on developing PM Critical Success Factors
(CSF) model [9], PM maturity model [3], and studies on challenges perceived by PM analysts [18]
underscore the importance. However, to the best of our knowledge, little to no comprehensive
research has been focused on the nature and impact of various job roles in PM implementation
projects, including individual competencies and tasks, as well as how the implementation teams
can be organized and optimized for ensuring a successful adoption.
With the aim of filling this crucial gap, the main objective of this research is to develop an
integrated people-centric approach for the successful adoption of PM by organizations, leading to
an optimal team configuration. To achieve this, three projects are proposed, each addressing a
distinct question, which collectively champions a demand-side people-centric exploration of PM
job roles and challenges toward achieving optimal team configuration for successful PM adoption.
ICPM Doctoral Consortium and Demo Track 2023
simin.maleki@ugent.be (S. Maleki Shamasbi)
0000-0002-7142-376X (S. Maleki Shamasbi)
© 2023 Copyright for this paper by its authors.
Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR Workshop Proceedings (CEUR-WS.org)
CEUR
ceur-ws.org
Workshop ISSN 1613-0073
Proceedings
This multifaceted approach seeks to provide actionable insights and practical guidelines, and a
framework for embarking the role of people in PM implementation projects, defining job role
classification, competency mapping, team structure, and people-related success metrics for a
successful PM adoption. In this regard, the following three questions have been identified.
Addressing these questions through in-depth investigations on job roles enables me to achieve
the main objective of my doctoral research.
RQ1- What are the typical job roles, patterns of competencies and tasks in PM projects of
organizations shaping PM job profiles?
RQ2- What HR-related challenges and CSFs exist for PM adoption, and how do they affect
project performance and overall business process performance?
RQ3- How to assess and improve an organization’s people-centric approach for optimal
PM adoption?
The research questions will be further delineated into more specific research objectives to
delve deeper into the phenomenon. Figure (1) depicts the sequential flow from one project to the
next, showing the output of one being the input of the next. Each project begins by probing
existing literature, followed by enriching inputs with diverse methodologies, leading to the
presentation of novel insights or theories. We aim at delivering multifaceted practical and
scientific contributions.
2. Methodology and research Design
We adopt a mixed-method (qualitative and quantitative) approach throughout all three projects
to collect a richer and stronger array of evidence [17]. Each project follows a certain type of theory
according to the types introduced by [5]. Project I utilizes a theory type I for analyzing, project II
employs theory type IV for explaining and predicting, and project III adopts a theory type V for
design and action.
In project I, we aim to analyze the current patterns of job roles from the demand side
reflecting the current assumption of organizations for ideal types in their PM project. We will
extract all PM-related vacancies from the LinkedIn job portal to perform a descriptive analysis
and text mining, namely topic modeling and cluster analysis, which is widely recommended and
applied in organizational research [10], [15]. In order to have a trustworthy classification of
competencies in PM professionals, we will look for a suitable skill framework. In combination
with an in-depth multivocal literature review on PM job roles, we will validate findings through
Figure 1: Doctoral Research Design Outline
an expert panel consisting of at least 20 experts, encompassing both scholars and practitioners
from industry. We believe the background and geographical location of interviewees might have
an influence and hence the selection should increase the generalizability. In order to increase the
variations among the interviewees, we will target 10 scholars holding a PhD degree, with at least
two PM-related peer-reviewed publications, and practitioners including PM/BPM managers,
consultants or PM experts with at least five years of experience in PM adoption. To address the
variety of geographical location, we select the interviewees from different countries with high
demand in PM adoption.
In project II, we will follow a holistic multiple-case study design [17] to draw cross-case
conclusions upon people-related challenges and CSFs in PM implementations, leveraging
secondary data from the literature and empirical findings from real-world scenarios. We aim to
target 20 case studies, half from SMEs and half from large-sized organizations. Recognizing the
value of understanding both successful and unsuccessful PM adoptions, we will include at least 5
instances that meet our criteria for “failed adoptions” to learn from their experiences. Along with
interviews, we will request PM documentation and job profiles. Furthermore, we will perform a
Likert scale survey targeting 500 global respondents including PM managers, PM experts, PM
consultants, IT managers, and BPM managers. Each organization will be represented by one
respondent per role to control for organizational bias, given our focus on capturing a broad
perspective across different organizations. With the CSFs from the case studies and the surveys,
we will use Structural Equation Modeling (SEM), a multivariate statistical analysis technique, to
build a theoretical model on the collected data that hypothesizes the impact of CFSs on business
processes and PM project performance. Text mining algorithms will be used in case of necessity
for analyzing large textual data. Using the data acquired in this step and the output of Project I,
we will develop a framework for individual competencies in PM projects which can be validated
through expert review or comparative analysis with existing competency frameworks.
In Project III, we will adopt a Design Science Research (DSR) approach, a problem-solving
paradigm that builds on behavioral science, as explained or predicted in previous studies to
develop artifacts addressing identified business needs and goals [7]. To this end, we will perform
a cluster analysis on people-related CSFs resulting from use cases with similar settings and the
results of survey analysis from project II. In addition to our primary methods, we will review
relevant literature to help frame the levels of our intended PM people-centric maturity model.
Our approach employes a multi-methodological procedures, as described by [7]. We will draw
insights from Project II and continuously evaluate the progression of our model. We will adhere
to the maturity model development procedure as defined by [1]. Our efforts include a review of
people-centric elements in existing IS maturity models and an iterative process to refine our
model. Expert interviews (20 in total) and a potential in-depth case study will serve as our
evaluation tools.
3. Results and Contributions
This doctoral research has the potential to make both practical and scientific contributions, which
will be elaborated upon in this section:
Project I provides a typology for ideal types (effective and successful [11]) and profiles of
people in a PM project, and a taxonomy classifying the required competencies of PM job roles.
Typology, a popular approach in management and organizational science, categorizes types of
organizations, structures, and strategies [4], and has been previously used for ideal types in
Business Process Management (BPM) [11]. Taxonomy, as a hierarchical arrangement of an
interrelated group of definitions, has been used for classifications in various areas e.g. educational
learning and organizational competencies [2], [12]. The main results and contribution of this
project are providing standard PM job titles, taxonomy for classifying the required competencies
in PM projects, ideal types and ideal profiles along with training advice for organizations in team
configurations to push their success. The application of taxonomy and typology for PM remains
novel that provides a scientific contribution.
Project II contributes to organizations with a refined terminology of standard job titles for the
critical roles in a PM project. This project provides a deeper understanding on how PM
implementation teams are shaped within organizations, whether result in a success or failure of
PM adoption. In this regard, we will demonstrate the results based on different types of team
configurations including cross-functional teams, Center of Excellence (CoE) for PM, outsourced
team, etc. From a scientific perspective, this project will contribute by identifying people- and
team-related challenges and developing a people-specific CSF model. Such knowledge will be
supplemented by a more in-depth analysis to derive the causality driven by the CSFs on process
and PM project performance. Another scientific contribution of this project will be a framework
of individual competencies in PM implementation projects, while capable of addressing existing
gap in practice. This approach not only strengthens the research in the area of human resources
in PM adoption but also enriches the as-is analysis, necessary for the development of a people-
centric PM maturity model as we target in the third project. Our scientific exploration not only
identifies challenges and develops frameworks but also introduces new methodologies and
analytical techniques to the domain of PM, differentiating our approach from existing studies.
Project III contributes to the scientific understanding of organizational aspects of PM
adoption, aided by a people-centric maturity model and assessment tool, offering advice to
achieve an optimal team configuration. This approach equips organizations with improvement
paths, allowing them to assess their current (‘as-is’) situation and work toward a desired (‘to-be’)
level of maturity. Advancing on the evolution path between the two extremes involves a
continuous progression regarding people-related capabilities, business process and PM project
performance [1]. Furthermore, our people-centric maturity model offers a fresh perspective,
incorporating unique dimensions and variables not commonly addressed in conventional models,
furthering the academic discourse in this area.
4. The Current Stage of the Research
This extended abstract outlines my doctoral research design comprising three projects, each
addressing specific questions aligned with the overarching research objective.
Commencing in May 2022, Project I involved a comprehensive analysis of current PM-related
vacancies that I extracted from LinkedIn platform. The dataset contains the metadata of 921 job
advertisements, spanning 47 countries and various organizations regarding size and sector.
Leveraging this data, the analysis shed light on the diverse naming for job titles in PM job roles.
The initial descriptive analysis surprisingly revealed a clear lack of homogenization in job titles,
with an initial count of 838 distinct titles, reduced to 740 after basic manual cleaning.
Additionally, a manual examination of job descriptions categorized vacancies into three main
competency types: technical, business, or a combination of both (hybrid). The result of this
descriptive analysis was presented as a workshop paper in BPM conference on 2022 [8].
To advance Project I, text mining techniques were applied to uncover latent insights within the
vacancies. This approach facilitated the identification of 19 competency areas relevant to PM
professionals, alongside more granular skills derived from the document-term relationship
within job description. The ongoing work involves mapping these findings with the predefined
job titles, and to culminate this phase, an expert panel is performing to validate the results,
identify any missing elements, and further enrich the dataset. This validation process will serve
as a foundation for commencing the subsequent phase II of the research.
Acknowledgements
This PhD is organized by Ghent University (Belgium) under the supervision of Prof. dr. Amy Van Looy.
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