Dataset for Systematic Literature Review on Prompting Competencies in AI-Driven Management (Scopus & Web of Science, 1990–2026)

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Authors: Graczyk-Kucharska, Magdalena, Piotrowski, Bartosz, Marchewka, Weronika, Biniak, Aleksandra, Piotr, Krzyżaniak
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Abstract

This dataset contains the merged bibliographic records used in a systematic literature review on prompting competencies and prompt engineering in AI-driven management and decision-making. Records were retrieved from Scopus and Web of Science using predefined, replicable search strategies and filtering criteria (peer-reviewed journal articles, English language; subject area: Business, Management and Accounting; exclusions: Medicine, Mathematics). The dataset supports bibliometric mapping (e.g., VOSviewer) and qualitative content analysis of abstracts. Files included merged bibliographic database (Scopus + WoS). Time coverage: 1990-2026 (Data retrieved on January 20, 2025 and updated September 1, 2026). The dataset is intended to ensure transparency and replicability of the review and may be reused for further research on generative AI, prompting competencies, managerial decision-making, and innovation.

Fields of Study & Subjects

Ethics and Social Impacts of AI Innovation Sustainability Human-Machine Systems AI in Service Interactions

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 September 2026
Language
EN