Artificial Intelligence Workplace and Sensor Networkbased Employee Tracking Technologies, Organizational Decision-Making Augmentation and Labor Productivity Measurement Tools, and Algorithmic Workforce Management
Artificial Intelligence Workplace and Sensor Networkbased Employee Tracking Technologies, Organizational Decision-Making Augmentation and Labor Productivity Measurement Tools, and Algorithmic Workforce Management

Summary/Abstract: Based on an in-depth survey of the literature, the purpose of the paper is to explore artificial intelligence-based workplace decisions. Throughout May 2024, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “machine and deep learning-based collaborative working environments” + “artificial intelligence workplace and sensor network-based employee tracking technologies,” “organizational decision-making augmentation and labor productivity measurement tools,” and “algorithmic workforce management and employment relation automation processes.” As research published in 2022 and 2023 was inspected, only 172 articles satisfied the eligibility criteria, and 38 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: Abstrackr, Citationchaser, PICO Portal, ROBIS, SRDR+, and SWIFTActive Screener.

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