LLM-based Automated Facilitator for Building Effective Consensus on Mission and Vision Definition

Mission and Vision are crucial for enterprises and organizations. But the traditional methods often consume significant human resources and time. Moreover, participants’ understanding level of Mission and Vision varies, and these tasks are often considered primarily the responsibility of senior management, all making the definition process even more challenging. This study addresses these challenges by introducing a novel automated meeting facilitator system based on LLM (Large Language Model). The study designs five steps for the meeting based on divergent and convergent strategies, specifically for the definition of Mission and Vision, and incorporates step transition strategies that enable the facilitator to automatically switch steps and apply different facilitation strategies according to each step to guide discussions. Experiments with three versions of the system demonstrate its effectiveness in facilitating discussions and building consensus, with improvements made across different versions. This study advances the development of AI-assisted collaboration tools and provides an innovative solution to enhance the process of defining Mission and Vision.

Authors

Institutions

Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/ica63002.2024.00034
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LLM-based Automated Facilitator for Building Effective Consensus on Mission and Vision Definition

Shun Shiramatsu, Qilin Liu
Industrial Technology and Control Systems
article

LLM-based Automated Facilitator for Building Effective Consensus on Mission and Vision Definition

Shun Shiramatsu, Qilin Liu
article en

Abstract

Mission and Vision are crucial for enterprises and organizations. But the traditional methods often consume significant human resources and time. Moreover, participants’ understanding level of Mission and Vision varies, and these tasks are often considered primarily the responsibility of senior management, all making the definition process even more challenging. This study addresses these challenges by introducing a novel automated meeting facilitator system based on LLM (Large Language Model). The study designs five steps for the meeting based on divergent and convergent strategies, specifically for the definition of Mission and Vision, and incorporates step transition strategies that enable the facilitator to automatically switch steps and apply different facilitation strategies according to each step to guide discussions. Experiments with three versions of the system demonstrate its effectiveness in facilitating discussions and building consensus, with improvements made across different versions. This study advances the development of AI-assisted collaboration tools and provides an innovative solution to enhance the process of defining Mission and Vision.

Nagoya Institute of Technology (JP)
Openalex Percentile: Top 71%
Industrial Technology and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.