Sustainability risk management: Exploring the role of artificial intelligence capabilities through an information-processing lens.

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2024-08-23 DOI:10.1111/risa.17448
Kai Yuan Kong, Kum Fai Yuen
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引用次数: 0

Abstract

The global sustainability movement is reshaping the operational requirements and managerial approaches of maritime firms, resulting in the emergence of unprecedented and complex risks in the sector. This has driven maritime firms to leverage digital tools, such as artificial intelligence (AI) capabilities, to enhance their sustainability risk management (SRM) endeavors. Drawing on the organizational information-processing theory (OIPT), this study proposes four AI capabilities: customer value proposition, key process optimization, key resource optimization, and societal good. It examines their influence on sustainability-related knowledge management capabilities (SKMC), stakeholder engagement, and SRM. A survey questionnaire was used to gather responses from 157 maritime professionals across various sectors of the industry, providing empirical data for analysis. Employing structural equation modeling, the findings reveal that AI capabilities can improve SKMC. These findings enhance existing literature by using OIPT concepts to investigate the interplay among the constructs that lead to better SRM in maritime firms. Furthermore, the study offers managerial guidance by providing insights into AI capabilities that maritime firms should incorporate into their operations, fostering best practices to effectively manage sustainability risks and ensure the firm's long-term survival.

可持续性风险管理:从信息处理角度探索人工智能能力的作用。
全球可持续发展运动正在重塑海运公司的运营要求和管理方法,导致该行业出现前所未有的复杂风险。这促使海事公司利用人工智能(AI)能力等数字化工具来加强其可持续风险管理(SRM)工作。本研究借鉴组织信息处理理论(OIPT),提出了四种人工智能能力:客户价值主张、关键流程优化、关键资源优化和社会公益。研究探讨了这些能力对可持续发展相关知识管理能力(SKMC)、利益相关者参与和社会责任管理的影响。本研究采用调查问卷的形式,收集了来自不同行业的 157 名海事专业人士的回答,为分析提供了实证数据。通过结构方程建模,研究结果表明,人工智能能力可以提高知识管理能力。这些研究结果通过使用 OIPT 概念来研究海运公司中导致更好的 SRM 的各种构造之间的相互作用,从而完善了现有文献。此外,本研究还为管理者提供了指导,让他们深入了解海运公司应将人工智能能力纳入其运营中,从而促进最佳实践,有效管理可持续发展风险,确保公司的长期生存。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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