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Business & Information Systems Engineering OnlineFirst articles

Automatically Generating BPMN 2.0 Process Models from Natural Language Process Descriptions: Challenges, Framework, Quality Assessment

  • Open Access
  • Research Paper

The increasing importance of process models highlights the demand for tools that enable an efficient and accurate transformation of natural language process descriptions into BPMN 2.0 process models. Despite significant advancements in natural …

Managing Performance in Collaborative Networks: A Method for Defining Key Performance Indicators for Collaborative Business Models

  • Open Access
  • Research Paper

To remain competitive in today’s dynamic business environment, organizations increasingly adopt collaborative business models, where networks of actors work together to create and capture value. These models require clear performance insights …

Semi-Automatic Hierarchical Taxonomy Creation from Existing Taxonomies with Large Language Models

  • Open Access
  • Research Paper

The development of taxonomies is critical for organizing knowledge in the field of Information Systems, particularly in hierarchical structures that align with human cognitive and navigational preferences. Traditional manual methods for creating …

Recovery from Technology-Driven Stress: A Daily Diary Study

  • Open Access
  • Research Paper

Although previous research on technology-driven stress has identified inhibitors and immediate coping mechanisms, the longer-term recovery from such stress remains underexplored. However, understanding recovery is essential for adapting to modern …

From Source to Target: Leveraging Transfer Learning for Predictive Process Monitoring in Organizations

  • Open Access
  • Research Paper

Event logs reflect the behavior of business processes that are mapped in organizational information systems. Predictive process monitoring (PPM) transforms these data into value by creating process-related predictions that provide insights for …

Large Language Models for Process Knowledge Acquisition

  • Open Access
  • Research Paper

Acquiring process knowledge remains a central challenge in business process management, particularly when process discovery approaches rely on manual elicitation and analysis. Following design science research, this paper proposes a theoretically …

Brainstorming with a Generative Language Model: Effect of Exposure to AI Ideas on Brainstorming Performance and Cognitive Load

  • Open Access
  • Research Paper

The adoption of generative AI (artificial intelligence) has sparked increased interest in how individual humans can generate ideas and solve problems collaboratively with AI, aiming to achieve superior performance compared to working alone. Based …

Large Action Models for Programmatic Orchestration

  • Open Access
  • Catchword

During its Dreamforce 2024 event, Salesforce presented an artificial intelligence (AI) agent that it built in partnership with high-end clothing retailer Saks Fifth Avenue. While seamlessly conversing with a customer, the AI agent helped change a …

Synthesizing AI Failure Research: A Scoping Review

  • Research Paper

Artificial intelligence (AI) has become integral to organizational operations, yet its real-world deployment increasingly exposes critical points of failure. Despite growing interest, existing studies on AI failure remain fragmented, often …

What Questions Can I Ask? A Taxonomy and Question Catalog for Process Mining Analysis Questions

  • Open Access
  • Research Paper

Analysts play a critical role in examining and interpreting data in process mining projects. However, specific goals for such projects are not always clearly stated nor translated into concrete analysis questions, hindering analysts to derive …

A Method for Boundary Resources Design to Increase Complementor Satisfaction

  • Open Access
  • Research Paper

Boundary resources (BRs) designed to increase complementor satisfaction are essential for value co-creation in platform ecosystems, as complementors are not subject to the hierarchical control of a platform provider. Only satisfied complementors …

Old Ways or New Bots: Conceptualizing Status Quo Bias and Corresponding Countermeasures for Robotic Process Automation

  • Open Access
  • Research Paper

Robotic Process Automation (RPA) can drastically increase the efficiency of business processes within an organisation. Organizations use RPA to automate business processes quickly and easily. However, in practice, many RPA projects fail. A biased …

How Physical–Digital Experiences are Designed

  • Open Access
  • Research Paper

Innovations in immersive systems technologies allow commercial experience providers to mix both digital and physical design components in offerings such as escape rooms or city tours, creating what we call a “physical–digital experience” that cuts …

Transparency Fallacy: Perceived Fairness in Algorithmic Management

  • Open Access
  • Research Paper

Algorithmic management (AM) can pose serious challenges for workers on digital labor platforms (DLPs), such as exploitation and a lack of transparency. Prior information systems research has characterized these challenges as unfair practices …

Inherently Interpretable Machine Learning: A Contrasting Paradigm to Post-hoc Explainable AI

  • Open Access
  • Catchword

A decade ago, data scientists devoted roughly 60–80% of their effort to manual feature engineering, aiming to create features with high predictive power and meaningful properties (Press 2016 ). However, with the rise of deep learning and highly …

Responsible Engineering of Information Systems Based on Generative Artificial Intelligence: An Action Design Research Study at a German Premium Car Manufacturer

  • Open Access
  • Research Paper

Generative artificial intelligence (GenAI) is a rapidly evolving field that enables novel and valuable information systems. However, developing GenAI-based information systems poses unique challenges that need to be addressed by researchers and …