Group Decision and Negotiation in the Era of Multimodal Interactions: 23rd International Conference on Group Decision and Negotiation, GDN 2023 Tokyo, Japan, June 11–15, 2023 Proceedings

Preface
Organization
Contents
Taking a Step Back: Critically Re-examining Technology Interactions with Group Decision and Negotiation
Taxonomy of Styles, Strategies, and Tactics in E-Negotiations
	1 Introduction and Background
	2 Methodological Approach
		2.1 Systematic Literature Review
		2.2 Taxonomy Development
	3 Taxonomy
	4 Patterns of Styles
	5 Outlook
	References
The More the Merrier? A Machine Learning Analysis of Information Growth in Negotiation Processes
	1 Motivation
	2 Theoretical Background
		2.1 The Exchange of Information in Negotiations
		2.2 Methodological Background
	3 Results
		3.1 Data Processing
		3.2 Evaluation Results of Model-Based Prediction Performance
	4 Discussion
	5 Summary and Outlook
	References
Preference Modeling and Multi-criteria Decision-Making
Ranking Potential Investors Using the FITradeoff Method and Value Focused Thinking in a Group Decision Problem
	1 Introduction
	2 Problem Structuring Using Value Focused Thinking – VFT
		2.1 Contextualization of the Decision Problem and Actors
		2.2 Identification of Objectives
		2.3 Criteria Definition
		2.4 Alternatives and Consequences Matrix
	3 Preference Modeling with FITradeoff Method
	4 Results and Discussion
	5 Final Remarks
	References
Using Unfolding Analysis and MARS Approach for Generating a Scoring System from a Group Preference Information
	1 Introduction
	2 Methodology
		2.1 Negotiation Template and Scoring System for Negotiation Support
		2.2 The Multidimensional Scaling and Unfolding Methods – a Short Overview
		2.3 Holistic Declaration of Preferences in Multi-issue Negotiation – MARS Method
		2.4 Analyzing the Coherence of Information Provided by the Group – Kendall’s Coefficient of Concordance
		2.5 A Hybrid Approach to Determine the Scoring System from Collective Preference Declarations
	3 Application Algorithm for the Determination of Negotiation Scoring System Based on Group Preference Information
	4 Conclusions and Future Research
	References
A Group Decision-Aiding Protocol for Selecting a Post-industrial Cultural Tourism Product in Czeladź Commune in Poland
	1 Introduction
	2 Post-industrial Coal-Mining Heritage in Czeladź and the Stakeholders
	3 Decision-Aiding Protocol for Selection of Best Post-industrial CTP
	4 CTP Decision-Aiding Protocol in Designing and Evaluating Czeladź Post-industrial CTP
	5 Conclusions
	References
Capturing Stakeholder Value Drivers in Participatory Decision Analysis
	1 Introduction
	2 Value, Valence, and Experience
	3 Anticipated and Actual Value Drivers
	4 Aggregating Value Drivers
	5 The Case of Kramfors' Growth Strategy
	6 Discussion
	7 Conclusion
	References
Conflict Modeling and Distributive Mechanisms
Composite Consensus-Building Process: Permissible Meeting Analysis and Compromise Choice Exploration
	1 Introduction
	2 Methods
		2.1 Permissible Meeting Analysis
		2.2 Compromise Choice Exploration
		2.3 Composite Consensus-Building Process
	3 Results
		3.1 Trial Setup
		3.2 Trial Results
	4 Discussion
	5 Conclusions
	References
Equilibrium and Efficiency in Conflict Analysis Incorporating Permissibility
	1 Introduction
	2 Underlying Concepts and Methods
		2.1 Coarse Decision Theory
		2.2 Graph Model for Conflict Resolution (GMCR)
		2.3 GMCR Incorporating Permissible Range (GMCR-PR)
	3 Nash Stability and Efficiency for Conflicts with Permissible Range
		3.1 Case with iN Pi=
		3.2 Case with iN Pi=
	4 Verification of Propositions in Application Cases
	5 Conclusion
	References
Comparing Algorithms for Fair Allocation of Indivisible Items with Limited Information
	1 Introduction
	2 Properties of Allocations
	3 Algorithms
		3.1 Sequential Algorithms
		3.2 Simultaneous Algorithm
	4 Results
	References
Hierarchical Modeling of Aggregate Mining Conflict in Ontario, Canada
	1 Introduction
	2 Aggregate Mining Regulatory Framework in Ontario, Canada
	3 Methods
		3.1 Graph Model for Conflict Resolution
		3.2 Hierarchical Graph Model
		3.3 Two-Level Hierarchical Graph Model
		3.4 Description of Three Case Studies of Aggregate Mining Conflict in Ontario and Data Sources
		3.5 Application of 2LHGM on Aggregate Mining Conflict in Ontario
		3.6 Decision-Makers and Their Options in 2LHGM
		3.7 Strategies, States, and Preference Relations in 2LHGM
	4 Results
		4.1 Local Games
		4.2 Basic Hierarchical Graph Models
		4.3 Two-Level Hierarchical Graph Model
	5 Insights and Concluding Remarks
	References
Weighted Reward Allocation Mechanism for Data Collection Quality
	1 Introduction
	2 Related Literature
	3 Model for Data Collection
		3.1 Uniform Reward Mechanism
		3.2 Weighted Reward Allocation Mechanism
	4 Simulation Experiment
		4.1 Description
		4.2 Results
	5 Discussion and Conclusions
	References
Author Index