---
_id: '60958'
abstract:
- lang: eng
  text: Large Language Models (LLMs) excel in understanding, generating, and processing
    human language, with growing adoption in process mining. Process mining relies
    on event logs that capture explicit process knowledge; however, knowledge-intensive
    processes (KIPs) in domains such as healthcare and product development depend
    on tacit knowledge, which is often absent from event logs. To bridge this gap,
    this study proposes a LLM-based framework for mobilizing tacit process knowledge
    and enriching event logs. A proof-of-concept is demonstrated using a KIP-specific
    LLM-driven conversational agent built on GPT-4o. The results indicate that LLMs
    can capture tacit process knowledge through targeted queries and systematically
    integrate it into event logs. This study presents a novel approach combining LLMs,
    knowledge management, and process mining, advancing the understanding and management
    of KIPs by enhancing knowledge accessibility and documentation.
author:
- first_name: Katharina
  full_name: Brennig, Katharina
  last_name: Brennig
citation:
  ama: 'Brennig K. Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit
    Knowledge in Event Logs of Knowledge-Intensive Processes. In: <i>AMCIS 2025 Proceedings.
    11.</i> ; 2025.'
  apa: 'Brennig, K. (2025). Revealing the Unspoken: Using LLMs to Mobilize and Enrich
    Tacit Knowledge in Event Logs of Knowledge-Intensive Processes. <i>AMCIS 2025
    Proceedings. 11.</i> Americas Conference on Information Systems, Montréal.'
  bibtex: '@inproceedings{Brennig_2025, title={Revealing the Unspoken: Using LLMs
    to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes},
    booktitle={AMCIS 2025 Proceedings. 11.}, author={Brennig, Katharina}, year={2025}
    }'
  chicago: 'Brennig, Katharina. “Revealing the Unspoken: Using LLMs to Mobilize and
    Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes.” In <i>AMCIS
    2025 Proceedings. 11.</i>, 2025.'
  ieee: 'K. Brennig, “Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit
    Knowledge in Event Logs of Knowledge-Intensive Processes,” presented at the Americas
    Conference on Information Systems, Montréal, 2025.'
  mla: 'Brennig, Katharina. “Revealing the Unspoken: Using LLMs to Mobilize and Enrich
    Tacit Knowledge in Event Logs of Knowledge-Intensive Processes.” <i>AMCIS 2025
    Proceedings. 11.</i>, 2025.'
  short: 'K. Brennig, in: AMCIS 2025 Proceedings. 11., 2025.'
conference:
  end_date: 2025-08-16
  location: Montréal
  name: Americas Conference on Information Systems
  start_date: 2025-08-14
date_created: 2025-08-20T07:03:37Z
date_updated: 2025-08-20T07:06:16Z
department:
- _id: '196'
keyword:
- Process Mining
- Large Language Model
- Knowledge Management
- Knowledge-Intensive Process
- Tacit Knowledge
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/
publication: AMCIS 2025 Proceedings. 11.
related_material:
  link:
  - relation: confirmation
    url: https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/
status: public
title: 'Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge
  in Event Logs of Knowledge-Intensive Processes'
type: conference
user_id: '51905'
year: '2025'
...