Workarounds as generative mechanisms for bottom-up process innovation—Insights from a multiple case study

2023 | Information Systems Journal | Citations: 0

Authors: Bartelheimer, Christian; Wolf, Verena; Beverungen, Daniel

Abstract: Workarounds are goal-driven deviations from the standard operating procedures pe ... Expand

Abstract: Workarounds are goal-driven deviations from the standard operating procedures performed to overcome obstacles constraining day-to-day work. Despite starting as temporary fixes, they can become established across an organisation and trigger the innovation of processes and IT artefacts that can resolve misfits permanently. Although prior research has elicited antecedents and types of workarounds, it is not known how workarounds diffuse in an organisation and, thereby, innovating co-workers' activities, IT artefacts, and organisational structures. The results of our multiple two-year case study provide unique empirical insights into the diffusion of workarounds and how they can act as generative mechanisms for bottom-up process innovation. Collapse

Topics: business process management innovation management business process innovation organization structure business process redesign

Methods: design artifact case study business process modeling qualitative interview qualitative coding

Theories: socio technical theory structuration theory

ADAM - Towards a Software Model for the Automatic Detection of Data Attributes and Metadata in Business Processes

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Baumann, Nick; Schäffer, Thomas

Abstract: In the current era of digital transformation, organizations are faced with an u ... Expand

Abstract: In the current era of digital transformation, organizations are faced with an unprecedented volume of data that requires proper management. In order to effectively manage this data, organizations need to understand the data's requirements and usage. In addition, organizations want to leverage this data to improve their business processes and gain valuable insights. Unfortunately, many organizations lack visibility into which data attributes are being used within their processes and at what stage of the process they are being used. To address this problem, this paper presents a prototype called ADAM that uses process mining to identify data attributes and their associated metadata from processes. We provide a detailed description of the requirements gathered for the prototype and explain the design and implementation of ADAM. In particular, we show how ADAM can be utilized to identify data attributes and their specifications used in processes from an SAP ERP system. Collapse

Topics: process mining enterprise resource planning business process management electronic mail relational database

Methods: design artifact qualitative interview case study design science event log

From Insights to INTEL: Evaluating Process Mining Insights with Healthcare Professionals

2023 | HICSS | Citations: 0

Authors: Beerepoot, Iris; Martin, Niels; Koorn, Jelmer Jan

Abstract: As healthcare organisations are looking for ways to improve their processes, pro ... Expand

Abstract: As healthcare organisations are looking for ways to improve their processes, process mining techniques are increasingly being used. Current process mining methods do not offer support for translating process mining insights into actionable improvement ideas. By performing action research at two healthcare organisations, we introduce and illustrate the INTEL funnel, a novel three-staged method consisting of process familiarisation, domain explanation and improvement ideation. Our method complements existing process mining methods and constitutes the first attempt to open the black box regarding the path from process mining insights to actionable process improvement ideas. In this way, it can contribute to a more systematic uptake of process mining in healthcare practice. Collapse

Topics: process mining digital dashboard business process improvement Microsoft Power BI

Methods: action research event log exploratory data analysis synthesis

A process mining maturity model: Enabling organizations to assess and improve their process mining activities

2023 | European Conference On Information Systems | Citations: 0

Authors: Brock, Jonathan; Löhr, Bernd; Brennig, Katharina; Seger, Thilo; Bartelheimer, Christian; Enzberg, Sebastian von; Kühn, Arno; Dumitrescu, Roman

Abstract: Organizations employ process mining to discover, check, or enhance process mode ... Expand

Abstract: Organizations employ process mining to discover, check, or enhance process models based on data from information systems to improve business processes. Even though process mining is increasingly relevant in academia and organizations, achieving process mining excellence and generating business value through its application is elusive. Maturity models can help to manage interdisciplinary teams in their efforts to plan, implement, and manage process mining in organizations. However, while numerous maturity models on business process management (BPM) are available, recent calls for process mining maturity models indicate a gap in the current knowledge base. We systematically design and develop a comprehensive process mining maturity model that consists of five factors comprising 23 elements, which organizations need to develop to apply process mining sustainably and successfully. We contribute to the knowledge base by the exaptation of existing BPM maturity models, and validate our model through its application to a real-world scenario. Collapse

Topics: process mining business process management knowledge base ease of use organizational value

Methods: maturity model design science survey event log literature study

EMBRACING CONCEPTUAL MODELLING TO ENABLE THE MEDIATION ROLE OF ENTERPRISE INFORMATION SYSTEMS

2023 | European Conference On Information Systems | Citations: 0

Authors: Chis, Andrei; Ghiran, Ana-Maria

Abstract: Nowadays, digital environments are critical regarding the way enterprise operat ... Expand

Abstract: Nowadays, digital environments are critical regarding the way enterprise operations are conducted and how enterprises are being developed. Traditional information systems used by enterprises need to evolve to accommodate the shift of their role from representation to mediation, role that has been recently conceptualized but not sufficiently researched to identify means that enable its operationalization across domains and purposes. This work identifies what are the key enablers and how should these be applied regardless of the domain of interest. For this, our paper showcases as a proof-of-concept artifact that operationalizes the before mentioned new role of the IS. Our proposal relies on Conceptual Modelling together with all the other related enablers like Digital Twins, metamodelling platforms or model-driven operation. Our example concerns the modern organization that continuously aims to become more innovative and gain competitive advantage therefore, it employs smart devices like drones in different business operations. Collapse

Topics: Python systems development digital twin usability production management

Methods: design science design artifact business process model and notation modeling language metamodel

Revealing the Root Causes of Digital Health Data Quality Issues: A Qualitative Investigation of the Odigos Framework

2023 | HICSS | Citations: 0

Authors: Eden, Rebekah; Syed, Rehan; Makasi, Tendai; Andrews, Robert; Ter Hofstede, Arthur; Wynn, Moe; Donovan, Raelene; Eley, Robert; Staib, Andrew

Abstract: Digital health data quality is a critical concern in the healthcare industry, je ... Expand

Abstract: Digital health data quality is a critical concern in the healthcare industry, jeopardizing the secondary use of data for revolutionizing population health, and hindering patient care and organizational outcomes. Limited published evidence exists for explaining why these data quality issues emerge. The Odigos framework is a notable exception asserting that data quality issues emerge from three worlds: material world (e.g., technology artifact), personal world (e.g., technology users/use), and social world (e.g., organizations/ institutions) but has yet to systematically unpack the elements within these worlds. Through deductive and inductive analysis of interview data from a case study of the Emergency Department of Australia’s first large digital hospital, we apply and extend the Odigos framework by identifying elements emanating from the three worlds and their interrelationships as root causes of data quality issues. These elements can then be used by hospitals to develop strategies to proactively improve their digital health data quality. Collapse

Topics: health information system data quality business process management legal context process mining

Methods: qualitative interview case study qualitative coding archival research personal interview

Assessing Process Mining Use Cases: A Taxonomy of Antecedents and Value Potentials of Process Mining

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Eggers, Julia; Häge, Marie-Christin; Zimmermann, Sina; Gewald, Heiko

Abstract: Process mining (PM) has gained traction as a Big Data Analytics technique to di ... Expand

Abstract: Process mining (PM) has gained traction as a Big Data Analytics technique to discover, monitor, and improve business processes based on event data that are available in organizations' information systems. However, despite high expectations and widespread use in practice, organizations still struggle to implement and realize value from PM. In particular, organizations, first, are challenged to identify and establish the antecedents necessary for implementing PM use cases, and second, lack guidance in identifying and assessing valuable PM use cases. Even though initial studies investigated sociotechnical factors influencing the adoption, implementation, and value of PM on the organizational level, knowledge in the field is still fragmented, and we lack a systematic understanding of how organizations can assess antecedents for and value potentials of PM to identify valuable use cases. Thus, building on a design science research approach, we address this research gap by developing and evaluating a structured framework drawing on the taxonomy development method of Nickerson et al. (2013) for assessing PM use cases based on their antecedents and expected value potentials. We iteratively develop and evaluate the taxonomy grounded in theory by drawing on PM literature and related research fields and practice by conducting twelve semi-structured interviews at a German manufacturing corporation to apply and evaluate the taxonomy. Consequently, our study contributes to research on the organizational implementation and use of PM and enables researchers and practitioners to understand, operationalize, and assess the factors influencing the selection of PM use cases. Collapse

Topics: system development method process mining usage intention usability data quality

Methods: qualitative interview design science design methodology personal interview literature sample

Process and Strategy Mining in Real-Time Strategy Games

2023 | International Conference on Business Informatics | Citations: 0

Authors: Elbert, Nico; Stein, Nikolai; Flath, Christoph M.

Abstract: In this study, we introduce a data-driven approach for process mining in real-t ... Expand

Abstract: In this study, we introduce a data-driven approach for process mining in real-time strategy (RTS) games, which serve as a proxy for corporate decision processes. By analyzing decision sequences in gaming environments, we uncover strategic behaviors impacting performance and match outcomes. Our methodology leverages game data, enriching process mining research and providing implications for strategic planning in business process management. Collapse

Topics: process mining strategic management business process management decision support decision making

Methods: cluster analysis Petri net modeling language XGBoost event log

STUDYING DYNAMICS AND CHANGE WITH DIGITAL TRACE DATA: A SYSTEMATIC LITERATURE REVIEW

2023 | European Conference On Information Systems | Citations: 0

Authors: Franzoi, Sandro; Grisold, Thomas; Brocke, Jan vom

Abstract: Digital trace data offer promising opportunities to study dynamics and change o ... Expand

Abstract: Digital trace data offer promising opportunities to study dynamics and change of various sociotechnical phenomena over time. While we see a surge of empirical and conceptual articles, we lack a systematic understanding of why, how, and when digital trace data are or can be used to study dynamics and change. In this article, we present the findings of a systematic literature review to uncover common approaches, motivations, findings, and general themes in the existing literature. We systematically reviewed 40 studies that were published in premium outlets in the information systems field. Our review sheds light on (1) underlying purposes of such studies, (2) utilized data sources, (3) research contexts, (4) socio-technical phenomena of interest, (5) applied analytical methods, and (6) measures that are being used. Building on our findings, we point to several implications for research and shed light on avenues to advance this field in the future. Collapse

Topics: process mining database system blog IT security innovation management

Methods: digital trace data structured literature research literature study literature sample theory development

Explaining Change with Digital Trace Data: A Framework for Temporal Bracketing

2023 | HICSS | Citations: 8

Authors: Hartl, Sophie; Franzoi, Sandro; Grisold, Thomas; Vom Brocke, Jan

Abstract: Digital trace data, along with computational techniques to analyze them, provide ... Expand

Abstract: Digital trace data, along with computational techniques to analyze them, provide novel means to study how organizational phenomena change over time. Yet, as digital traces typically lack context, it is challenging to explain why and how such changes take place. In this paper, we discuss temporal bracketing as an approach to integrate context into digital trace data-based research. We conceptualize a framework to apply temporal bracketing in the analysis of digital trace data. We showcase our framework on the grounds of data from an onboarding process of a financial institution in Central Europe. We point to several implications for computationally intensive theory development around change with digital trace data. Collapse

Topics: sensemaking process mining business process management business process improvement

Methods: digital trace data theory development event log business process modeling experiment