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Unpacking the determinants of social media-based lifelong learning from the need hierarchy theory.

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Title: Unpacking the determinants of social media-based lifelong learning from the need hierarchy theory.
Authors: Huang, Yueh-Min, Wang, Ding-Chau, Lin, Gu-Hao, Huang, Yong-Ming
Source: Behaviour & Information Technology. Feb2025, Vol. 44 Issue 3, p477-490. 14p.
Subjects: Social media, Hierarchy of needs theory (Psychology), Scale analysis (Psychology), Self-actualization (Psychology), Cronbach's alpha, Research funding, Sample size (Statistics), Research evaluation, Online social networks, Information needs, Need (Psychology), Intention, Learning strategies, Customer satisfaction
Abstract: Social-Media-based Lifelong Learning (SMLL) have come under the spotlight nowadays because they allow people to realise lifelong learning in their quotidian existence. However, the factors that determine SMLL have received little scholarly attention, hence our poor understanding in this regard. To remedy the deficiency, a research model was developed through Maslow's need hierarchy theory to address the issue. The research findings show that (1) safety needs play an initial role that drives users gradually towards belongingness and love needs, self-esteem needs and self-actualisation needs; (2) self-actualisation needs serve as a sole pivotal role in users' satisfaction with SMLL, which in turn affects their continuance intention towards SMLL. These findings reveal that social media not only allow people to safeguard their jobs by offering access to the latest knowledge but also help them fulfil their ambitions and realise their self-worth. This study also challenges the stereotypes about Maslow's need hierarchy theory by showing that the levels of needs are not necessarily to be fulfilled in ascending order but can be satisfied simultaneously. [ABSTRACT FROM AUTHOR]
Copyright of Behaviour & Information Technology 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: Psychology and Behavioral Sciences Collection
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  Data: Unpacking the determinants of social media-based lifelong learning from the need hierarchy theory.
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  Data: <searchLink fieldCode="AR" term="%22Huang%2C+Yueh-Min%22">Huang, Yueh-Min</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Ding-Chau%22">Wang, Ding-Chau</searchLink><br /><searchLink fieldCode="AR" term="%22Lin%2C+Gu-Hao%22">Lin, Gu-Hao</searchLink><br /><searchLink fieldCode="AR" term="%22Huang%2C+Yong-Ming%22">Huang, Yong-Ming</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Hierarchy+of+needs+theory+%28Psychology%29%22">Hierarchy of needs theory (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Scale+analysis+%28Psychology%29%22">Scale analysis (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Self-actualization+%28Psychology%29%22">Self-actualization (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Cronbach's+alpha%22">Cronbach's alpha</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Sample+size+%28Statistics%29%22">Sample size (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Research+evaluation%22">Research evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Online+social+networks%22">Online social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Information+needs%22">Information needs</searchLink><br /><searchLink fieldCode="DE" term="%22Need+%28Psychology%29%22">Need (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Intention%22">Intention</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+strategies%22">Learning strategies</searchLink><br /><searchLink fieldCode="DE" term="%22Customer+satisfaction%22">Customer satisfaction</searchLink>
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  Data: Social-Media-based Lifelong Learning (SMLL) have come under the spotlight nowadays because they allow people to realise lifelong learning in their quotidian existence. However, the factors that determine SMLL have received little scholarly attention, hence our poor understanding in this regard. To remedy the deficiency, a research model was developed through Maslow's need hierarchy theory to address the issue. The research findings show that (1) safety needs play an initial role that drives users gradually towards belongingness and love needs, self-esteem needs and self-actualisation needs; (2) self-actualisation needs serve as a sole pivotal role in users' satisfaction with SMLL, which in turn affects their continuance intention towards SMLL. These findings reveal that social media not only allow people to safeguard their jobs by offering access to the latest knowledge but also help them fulfil their ambitions and realise their self-worth. This study also challenges the stereotypes about Maslow's need hierarchy theory by showing that the levels of needs are not necessarily to be fulfilled in ascending order but can be satisfied simultaneously. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Behaviour & Information Technology 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: 10.1080/0144929X.2024.2324056
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 477
    Subjects:
      – SubjectFull: Social media
        Type: general
      – SubjectFull: Hierarchy of needs theory (Psychology)
        Type: general
      – SubjectFull: Scale analysis (Psychology)
        Type: general
      – SubjectFull: Self-actualization (Psychology)
        Type: general
      – SubjectFull: Cronbach's alpha
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      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Sample size (Statistics)
        Type: general
      – SubjectFull: Research evaluation
        Type: general
      – SubjectFull: Online social networks
        Type: general
      – SubjectFull: Information needs
        Type: general
      – SubjectFull: Need (Psychology)
        Type: general
      – SubjectFull: Intention
        Type: general
      – SubjectFull: Learning strategies
        Type: general
      – SubjectFull: Customer satisfaction
        Type: general
    Titles:
      – TitleFull: Unpacking the determinants of social media-based lifelong learning from the need hierarchy theory.
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            NameFull: Huang, Yueh-Min
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            NameFull: Wang, Ding-Chau
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              Text: Feb2025
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              Y: 2025
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