Deep Neural Network-based People Management Tools and Workplace Automation Technologies for Organizational Behavior, Employee Participation, and Performance Monitoring
Deep Neural Network-based People Management Tools and Workplace Automation Technologies for Organizational Behavior, Employee Participation, and Performance Monitoring
Author(s): Elvira Nica, Eglantina Hysa, Ana-Maria Iulia Şanta, Alice AlAkoum, Alena Novák SedláčkováSubject(s): Business Economy / Management, Organizational Psychology, Behaviorism, Human Resources in Economy, ICT Information and Communications Technologies
Published by: Addleton Academic Publishers
Keywords: deep neural network; people management; workplace automation; organizational behavior; employee participation; performance monitoring;
Summary/Abstract: The aim of this systematic review is to synthesize and analyze artificial intelligence-driven managerial and workplace adoption decisions. In this research, prior findings were cumulated indicating that artificial intelligence technologies can enhance knowledge support, work–life balance, work design, organization, and practices, employee trust, and business operations. A quantitative literature review of ProQuest, Scopus, and the Web of Science was carried out throughout June 2023, with search terms including “deep neural network-based people management tools and workplace automation technologies” + “organizational behavior,” “employee participation,” and “performance monitoring.” As research published in 2023 was inspected, only 134 articles satisfied the eligibility criteria, and 12 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: AXIS, Distiller SR, ROBIS, and SRDR.
Journal: Psychosociological Issues in Human Resource Management
- Issue Year: 11/2023
- Issue No: 2
- Page Range: 7-20
- Page Count: 14
- Language: English
- Content File-PDF
