Revealing the role of explainable AI: How does updating AI applications generate agility-driven performance?

IF 20.1 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management Pub Date : 2024-03-26 DOI:10.1016/j.ijinfomgt.2024.102779

Masialeti Masialeti, Amir Talaei-Khoei, Alan T. Yang

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引用次数: 0

Abstract

This study examines the role of explainable AI in the relationship between updating a portfolio of AI applications and performance. Updating a portfolio of AI applications relates to a firm's dynamic capability to respond to the changes of the market. We propose a set of four hypotheses in which the impact of updating the portfolio of AI applications on firm performance is mediated by business process agility. Additionally, we suggest that building explainability into the portfolio of AI applications when firms update their portfolio acts as a moderator to generate greater agility, which in return improves overall firm performance. Data from a survey of IT executives were analyzed to validate our proposed hypotheses. The results from the survey were also evaluated by a qualitative focus group session. This research is a significant contribution to the emerging literature on dynamic capabilities as it presents and tests a theory regarding the influence of the firm capability to update the portfolio of AI applications on agility and firm performance and the role of explainable AI.

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揭示可解释人工智能的作用：更新人工智能应用如何产生敏捷驱动的性能？

本研究探讨了可解释的人工智能在更新人工智能应用组合与绩效之间关系中的作用。更新人工智能应用组合关系到企业应对市场变化的动态能力。我们提出了一组四个假设，其中更新人工智能应用组合对企业绩效的影响是以业务流程敏捷性为中介的。此外，我们还提出，当企业更新其人工智能应用组合时，将可解释性纳入人工智能应用组合，可作为产生更大敏捷性的调节因素，从而提高企业的整体绩效。为了验证我们提出的假设，我们分析了一项针对信息技术高管的调查数据。此外，还通过定性焦点小组会议对调查结果进行了评估。这项研究对有关动态能力的新兴文献做出了重要贡献，因为它提出并检验了有关企业更新人工智能应用组合的能力对敏捷性和企业绩效的影响以及可解释人工智能的作用的理论。

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

International Journal of Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

53.10

自引率

6.20%

发文量

111

审稿时长

24 days

期刊介绍： The International Journal of Information Management (IJIM) is a distinguished, international, and peer-reviewed journal dedicated to providing its readers with top-notch analysis and discussions within the evolving field of information management. Key features of the journal include: Comprehensive Coverage: IJIM keeps readers informed with major papers, reports, and reviews. Topical Relevance: The journal remains current and relevant through Viewpoint articles and regular features like Research Notes, Case Studies, and a Reviews section, ensuring readers are updated on contemporary issues. Focus on Quality: IJIM prioritizes high-quality papers that address contemporary issues in information management.