Henrik Leopold

ORCID: 0000-0003-4862-1829
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Semantic Web and Ontologies
  • Data Quality and Management
  • Software Engineering Research
  • Software Engineering Techniques and Practices
  • Information Technology Governance and Strategy
  • Big Data and Business Intelligence
  • Robotic Process Automation Applications
  • Information Systems Theories and Implementation
  • Personal Information Management and User Behavior
  • Collaboration in agile enterprises
  • Traffic Prediction and Management Techniques
  • FinTech, Crowdfunding, Digital Finance
  • Machine Learning in Healthcare
  • Urban and Freight Transport Logistics
  • Software System Performance and Reliability
  • Biomedical Text Mining and Ontologies
  • Transportation Planning and Optimization
  • Digital Transformation in Industry
  • Psychological Well-being and Life Satisfaction
  • Usability and User Interface Design
  • Persona Design and Applications
  • Advanced Causal Inference Techniques
  • Explainable Artificial Intelligence (XAI)

Kühne Logistics University
2019-2024

Hasso Plattner Institute
2019-2023

University of Potsdam
2019-2023

Vienna University of Economics and Business
2014-2020

Vrije Universiteit Amsterdam
2010-2019

Technion – Israel Institute of Technology
2015

Amsterdam UMC Location Vrije Universiteit Amsterdam
2015

Humboldt-Universität zu Berlin
2010-2013

Bern University of Applied Sciences
2012

Blockchain technology offers a sizable promise to rethink the way interorganizational business processes are managed because of its potential realize execution without central party serving as single point trust (and failure). To stimulate research on this and limits thereof, in article, we outline challenges opportunities blockchain for process management (BPM). We first reflect how blockchains could be used context established BPM lifecycle second they might become relevant beyond....

10.1145/3183367 article EN ACM Transactions on Management Information Systems 2018-02-26

It may be tempting for researchers to stick incremental extensions of their current work plan future research activities. Yet there is also merit in realizing the grand challenges one’s field. This paper presents an overview nine major problems Business Process Management discipline. These have been collected by open call community, discussed and refined a workshop setting, described here detail, including motivation why these are worth investigating. serve purpose inspiring both novice...

10.1016/j.compind.2022.103837 article EN cc-by Computers in Industry 2023-01-05

The design and development of process-aware information systems is often supported by specifying requirements as business process models. Although this approach generally accepted an effective strategy, it remains a fundamental challenge to adequately validate these models given the diverging skill set domain experts system analysts. As do not feel confident in judging correctness completeness that analysts create, validation has regress discourse using natural language. In order support...

10.1109/tse.2014.2327044 article EN IEEE Transactions on Software Engineering 2014-05-29

Abstract Business Process Management is a boundary-spanning discipline that aligns operational capabilities and technology to design manage business processes. The Digital Transformation has enabled human actors, information systems, smart products interact with each other via multiple digital channels. emergence of this hyper-connected world greatly leverages the prospects processes – but also boosts their complexity new level. We need discuss how BPM can find ways for identifying,...

10.1007/s12599-020-00646-z article EN cc-by Business & Information Systems Engineering 2020-04-22

System-related engineering tasks are often conducted using process models. In this context, it is essential that these models do not contain structural or terminological inconsistencies. To end, several automatic analysis techniques have been proposed to support quality assurance. While formal properties of control flow can be checked in an automated fashion, there a lack addressing textual quality. More specifically, currently no technique available for handling the issue lexical ambiguity...

10.1109/tse.2015.2396895 article EN IEEE Transactions on Software Engineering 2015-01-29

10.24251/hicss.2025.675 article EN Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences 2025-01-01

Understanding conceptual models of business domains is a key skill for practitioners tasked with systems analysis and design. Research in this field predominantly uses experiments specific user proxy cohorts to examine factors that explain how well different types can be comprehended by model viewers. However, the results from these studies are difficult compare. One difficulty rests unsystematic fluctuating consideration viewer characteristics (MVCs) date. In paper, we review MVCs used...

10.1007/s10796-017-9823-6 article EN cc-by Information Systems Frontiers 2018-01-20

Rapid technological advancements, especially in artificial intelligence, robotic process automation, and large language models, have significantly transformed information systems business processes. These shifts are characterized by the automation of tasks, reshaping traditional human-centric operations, consequently redefining human roles experiences. This Panel Report builds on a discussion held at annual Routines.Research.Community workshop March 2023 Berlin, Germany. It integrates...

10.17705/1cais.05421 article EN mit Communications of the Association for Information Systems 2024-01-01
Coming Soon ...