Iterative Alternative Evaluation within Human–Artificial Intelligence Problem-Solving: An Extension to Raisch and Fomina’s “Combining Human and Artificial Intelligence”

IF 19.3 1区管理学 Q1 BUSINESS Academy of Management Review Pub Date : 2024-07-12 DOI:10.5465/amr.2024.0135

Ann-Katrin Eicke, Johann Nils Foege, Stephan Nüesch

引用次数: 0

Abstract

Academy of Management Review, Volume 0, Issue ja, -Not available-.

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人类-人工智能解决问题过程中的迭代替代评估：对 Raisch 和 Fomina 的 "人类与人工智能相结合 "的扩展

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来源期刊

Academy of Management Review Multiple-

CiteScore

24.60

自引率

2.40%

发文量

期刊介绍： The mission of AMR is to publish theoretical insights that advance our understanding of management and organizations. Submissions to AMR must extend theory in ways that develop testable knowledge-based claims. To do this, researchers can develop new management and organization theory, significantly challenge or clarify existing theory, synthesize recent advances and ideas into fresh, if not entirely new theory, or initiate a search for new theory by identifying and delineating a novel theoretical problem. The contributions of AMR articles often are grounded in “normal science disciplines” of economics, psychology, sociology, or social psychology as well as nontraditional perspectives, such as the humanities.