Optimizing Digital Market Decision-Making Through Artificial Intelligence Platforms

As artificial intelligence rapidly advances, addressing the interplay of technical, ethical, and risk factors in optimizing digital market decision-making through AI platforms has become increasingly prominent. However, the impact of these factors on market performance, particularly in investment value, remains underexplored. The study, based on 412 validated responses from service industry professionals gathered through a carefully designed questionnaire, aims to predict the relationship among these factors and their influence on market performance. It also explores how cognitive engagement mediates the relationship between AI platforms and financial metrics. Key findings:(1) the interplay of technical, ethical, and risk factors optimizes market decision-making and guides AI investments; (2) cognitive engagement, especially in the services sector, is essential to maximize the impact of AI platforms on market performance. The study provides valuable insights into AI's role in shaping market dynamics within the services sector and relevant governance recommendations for policymakers.

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Institutions

Publication Details

Journal
Journal of Global Information Management
Published
2024-12-28
DOI
https://doi.org/10.4018/jgim.365908
Citations
3
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
2.34

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article

Optimizing Digital Market Decision-Making Through Artificial Intelligence Platforms

Yuhao Chen, Rongxin Chen
3 citations
Journal of Global Information Management
Blockchain Technology Applications and Security
2.34
article

Optimizing Digital Market Decision-Making Through Artificial Intelligence Platforms

Yuhao Chen, Rongxin Chen
article en
3 citations

Abstract

As artificial intelligence rapidly advances, addressing the interplay of technical, ethical, and risk factors in optimizing digital market decision-making through AI platforms has become increasingly prominent. However, the impact of these factors on market performance, particularly in investment value, remains underexplored. The study, based on 412 validated responses from service industry professionals gathered through a carefully designed questionnaire, aims to predict the relationship among these factors and their influence on market performance. It also explores how cognitive engagement mediates the relationship between AI platforms and financial metrics. Key findings:(1) the interplay of technical, ethical, and risk factors optimizes market decision-making and guides AI investments; (2) cognitive engagement, especially in the services sector, is essential to maximize the impact of AI platforms on market performance. The study provides valuable insights into AI's role in shaping market dynamics within the services sector and relevant governance recommendations for policymakers.

Journal of Global Information ManagementVol. 32(1)
Shanghai Jiao Tong University (CN), University at Buffalo, State University of New York (US)
Jilin Office of Philosophy and Social Science
Openalex Percentile: Top 8%
Blockchain Technology Applications and Security
2.34
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Optimizing Digital Market Decision-Making Through Artificial Intelligence Platforms — Yuhao Chen, Rongxin Chen · Journal of Global Information Management (2024) | TGRS Research Map | TGRS