EURO 2024 Copenhagen
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2629. Decision-making Modeling and Simulation of Digital Platform Innovation Team based on Member Interaction

Invited abstract in session TA-43: Simulation in innovation, stream Agent-based Models in Management, Economic and Organisation Sciences.

Tuesday, 8:30-10:00
Room: 99 (building: 306)

Authors (first author is the speaker)

1. Yanqiu Song
School of Management Science and Engineering, Central university of finance and economics
2. Junlin Chen
Management Science and Engineering, Central University of Finance and Economics
3. Tanxiaosi Luo
Business School, Central South University

Abstract

Our research proceeds in three ways. Firstly, we identify patterns of member interaction and key influencing factors via brings together developments in the literature over the past several years. Second, key influencing factors are included in the team decision model to build interactive team decision rules containing the individual member decision rules and the overall team decision rules. Finally, the simulation model of team decision is built on the Anylogic platform to verify the dynamic evolution of innovative team interactive decision in the digital platform system.
Our principal contributions can be highlighted as follows:
(1) Literature research has found that the factors that affect the interactive decision-making of innovation teams include the individual cognitive level of members, risk preferences, and member satisfaction.
(2) If there are significant differences in risk preferences among team members, they may find it difficult to reach consensus quickly during decision-making and exhibit conflicting behaviors in repeated decision-making, resulting in low innovation value in the decision-making outcomes.
(3)A team with a high level of cognitive ability is more likely to form higher innovative value in decision-making.
(4)In repeated interactive team decisions, satisfaction can affect members' willingness to communicate and change their choices, thereby affecting the team's decision-making outcomes.

Keywords

Status: accepted

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