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Human-Computer Interaction Strategies to Alleviate Information Overload in Business Contexts.

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Title: Human-Computer Interaction Strategies to Alleviate Information Overload in Business Contexts.
Authors: Wan, Xiaojuan1 (AUTHOR) xiaojuanwan.id@gmail.com, Liu, Jiakun2 (AUTHOR)
Source: International Journal of Human-Computer Interaction. Nov2025, Vol. 41 Issue 21, p13349-13362. 14p.
Subjects: Information overload, Data visualization, Applied sciences, Cognitive flexibility, Industrial management, Information sharing, Decision making, Human-computer interaction
Abstract: This study investigates the impact of information overload in business administration, a challenge that arises when the volume of information surpasses an individual's processing capacity. This imbalance disrupts productivity, hinders decision-making, and stifles innovation. Focusing on industries such as retail, information technology (IT), human resources (HR), marketing, and finance, the research highlights how excessive data impairs creativity and reduces competitiveness. It explores practical solutions, including the adoption of advanced data visualization tools (e.g., Tableau, Power BI) and structured communication protocols to streamline information flow. Additionally, the study underscores the importance of fostering a knowledge-sharing culture and continuous learning to enhance cognitive resilience. Time management strategies and mindfulness practices are also advocated to promote a balanced and stress-free work environment. By implementing these measures, the study presents a structured framework to improve employee well-being and organizational efficiency. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Human-Computer Interaction Strategies to Alleviate Information Overload in Business Contexts.
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  Data: <searchLink fieldCode="AR" term="%22Wan%2C+Xiaojuan%22">Wan, Xiaojuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> xiaojuanwan.id@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Jiakun%22">Liu, Jiakun</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Nov2025, Vol. 41 Issue 21, p13349-13362. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Information+overload%22">Information overload</searchLink><br /><searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Applied+sciences%22">Applied sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+flexibility%22">Cognitive flexibility</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+management%22">Industrial management</searchLink><br /><searchLink fieldCode="DE" term="%22Information+sharing%22">Information sharing</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study investigates the impact of information overload in business administration, a challenge that arises when the volume of information surpasses an individual's processing capacity. This imbalance disrupts productivity, hinders decision-making, and stifles innovation. Focusing on industries such as retail, information technology (IT), human resources (HR), marketing, and finance, the research highlights how excessive data impairs creativity and reduces competitiveness. It explores practical solutions, including the adoption of advanced data visualization tools (e.g., Tableau, Power BI) and structured communication protocols to streamline information flow. Additionally, the study underscores the importance of fostering a knowledge-sharing culture and continuous learning to enhance cognitive resilience. Time management strategies and mindfulness practices are also advocated to promote a balanced and stress-free work environment. By implementing these measures, the study presents a structured framework to improve employee well-being and organizational efficiency. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/10447318.2025.2470296
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 13349
    Subjects:
      – SubjectFull: Information overload
        Type: general
      – SubjectFull: Data visualization
        Type: general
      – SubjectFull: Applied sciences
        Type: general
      – SubjectFull: Cognitive flexibility
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      – SubjectFull: Industrial management
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      – SubjectFull: Information sharing
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      – SubjectFull: Decision making
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      – SubjectFull: Human-computer interaction
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            NameFull: Liu, Jiakun
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            – D: 01
              M: 11
              Text: Nov2025
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              Y: 2025
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