AI development in financial markets: a balanced scorecard analysis of its impact on sustainable development goals (February 2024)

IF 2.5 4区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

Kybernetes Pub Date : 2024-06-04 DOI:10.1108/k-05-2024-1181

Ahmet Aysan, Hasan Dincer, Ibrahim Musa Unal, Serhat Yüksel

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引用次数: 0

Abstract

Purpose

The primary purpose is to empower financial institutions in AI integration decisions. By combining QSFS and the Golden Cut technique, the study establishes a robust foundation for assessing AI progress effects, aligning implementation with performance goals, and promoting technical innovation. Dimensions explored include AI-related workforce competency, technological adaption, and ethical AI practices, crucial components within the BSC framework for technological innovation.

Design/methodology/approach

This study employs a distinctive approach, integrating the Balanced Scorecard (BSC) framework with Quantum Spherical Fuzzy Sets (QSFS) and the Golden Cut approach to explore the dynamic landscape of AI deployment. The integration addresses uncertainties, enhancing impact assessment accuracy amid ambiguity associated with AI outcomes. QSFS and the Golden Cut technique together facilitate precise identification of thresholds and crucial values.

Findings

The research delves into the intricate relationship between enduring financial stability and AI progress, recognizing technology's crucial influence on financial decision-making. Findings underscore technology's significant impact on financial institutions' AI integration decisions. This novel approach provides a strong quantitative basis, offering insights into workforce competency, technological adaption, and ethical AI practices.

Research limitations/implications

Despite valuable contributions, the study acknowledges limitations, such as potential biases and generalizability concerns, emphasizing the need for cautious interpretation and suggesting future research directions. Recognizing the research's boundaries and complexities in studying AI deployment in financial institutions underscores the need for ongoing exploration.

Originality/value

The research's originality lies in presenting an innovative methodology, integrating BSC, QSFS, and the Golden Cut, providing a unique perspective for decision-making. Contributions extend beyond academia, offering practical insights to enhance AI strategic implementation in the financial industry. This novel approach enriches the technology and finance discourse, fostering theoretical and practical advancements.

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金融市场的人工智能发展：关于其对可持续发展目标影响的平衡计分卡分析（2024 年 2 月）

目的主要目的是增强金融机构在人工智能整合决策中的能力。通过将 QSFS 与黄金分割技术相结合，本研究为评估人工智能进展效果、使实施与绩效目标保持一致以及促进技术创新奠定了坚实的基础。本研究采用了一种独特的方法，将平衡计分卡（BSC）框架与量子球形模糊集（QSFS）和黄金分割法相结合，以探索人工智能部署的动态情况。这种整合解决了不确定性问题，在人工智能成果模糊不清的情况下提高了影响评估的准确性。QSFS 和黄金分割技术共同促进了阈值和关键值的精确识别。研究结果该研究深入探讨了持久金融稳定与人工智能进步之间的复杂关系，认识到技术对金融决策的重要影响。研究结果强调了技术对金融机构人工智能整合决策的重大影响。这种新颖的方法提供了强有力的定量基础，为劳动力能力、技术适应性和人工智能道德实践提供了见解。研究局限性/影响尽管本研究做出了宝贵贡献，但也承认其局限性，如潜在的偏见和普遍性问题，强调需要谨慎解释，并提出了未来的研究方向。认识到研究的边界以及研究金融机构人工智能部署的复杂性，强调了持续探索的必要性。原创性/价值该研究的原创性在于提出了一种创新的方法论，将 BSC、QSFS 和黄金分割法整合在一起，为决策提供了独特的视角。其贡献超出了学术界的范围，为金融业加强人工智能战略实施提供了实用见解。这种新颖的方法丰富了技术和金融领域的讨论，促进了理论和实践的进步。

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来源期刊

Kybernetes 工程技术-计算机：控制论

CiteScore

4.90

自引率

16.00%

发文量

237

审稿时长

4.3 months

期刊介绍： Kybernetes is the official journal of the UNESCO recognized World Organisation of Systems and Cybernetics (WOSC), and The Cybernetics Society. The journal is an important forum for the exchange of knowledge and information among all those who are interested in cybernetics and systems thinking. It is devoted to improvement in the understanding of human, social, organizational, technological and sustainable aspects of society and their interdependencies. It encourages consideration of a range of theories, methodologies and approaches, and their transdisciplinary links. The spirit of the journal comes from Norbert Wiener''s understanding of cybernetics as "The Human Use of Human Beings." Hence, Kybernetes strives for examination and analysis, based on a systemic frame of reference, of burning issues of ecosystems, society, organizations, businesses and human behavior.