Journal of Information Science Theory and Practice

Korea Institute of Science and Technology Information (한국과학기술정보연구원 과학기술정보센터)
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Bridging Bytes and Behaviors: Unraveling the Multifaceted Interplay of Technology and Employee Dynamics Over Time Through Text-Mining and Systematic Literature Review

  • Received : 2024.03.27
  • Accepted : 2024.06.03
  • Published : 2024.12.30
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Abstract

This study investigates the intricate relationship between technological integration and its consequences for employees, focusing on the evolving impacts of advanced technologies on organizational operations and workforce dynamics from 1983 to 2022. Utilizing a sophisticated method combining rigorous text-mining analysis and a systematic literature review, the research analyzes an extensive dataset of 7,000 articles to track the progression of technology-related topics and keywords within the literature. The findings reveal a dual nature of technology's impact on the workforce. On one side, technological advancements are associated with challenges such as increased turnover intentions, anxiety, and health concerns. On the other, there is an emerging shift towards understanding the nuanced differences between technology-mediated interactions and traditional face-to-face engagements. The study underscores the necessity of strategic technology integration that not only enhances productivity but also safeguards employee well-being. Emphasizing the need for a redefined approach to work-life balance, the research sets a foundation for future explorations into the multifaceted effects of technology within organizational contexts, specifically recommending a deeper examination of individual information behaviors and sector-specific technology impacts in response to technological advancements. This refined focus aims to contribute more directly to information science by addressing how these technological integrations influence information behaviors across various organizational layers and over time.

Keywords

Acknowledgement

This work was supported by the Gachon University research fund of 2023 (GCU-202303900001).

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