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Disciplines
(Field of Science):
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- social communication and media studies (Social studies)
- management and quality studies (Social studies)
(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 100 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 100 | Ministry scored journals list 2024 |
| 2023 | 100 | Ministry Scored Journals List |
| 2022 | 100 | Ministry Scored Journals List 2019-2022 |
| 2021 | 100 | Ministry Scored Journals List 2019-2022 |
| 2020 | 100 | Ministry Scored Journals List 2019-2022 |
| 2019 | 100 | Ministry Scored Journals List 2019-2022 |
| 2018 | 30 | A |
| 2017 | 30 | A |
| 2016 | 30 | A |
| 2015 | 30 | A |
| 2014 | 25 | A |
| 2013 | 25 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 8.2 |
| Year | Points |
|---|---|
| 2023 | 8.2 |
| 2022 | 7.6 |
| 2021 | 6.6 |
| 2020 | 4.4 |
| 2019 | 3.1 |
| 2018 | 3.5 |
| 2017 | 3.1 |
| 2016 | 3 |
| 2015 | 2.4 |
| 2014 | 2.4 |
| 2013 | 2.5 |
| 2012 | 2.4 |
| 2011 | 2.2 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 2
Catalog Journals
Year 2023
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Antecedents and outcomes of social media fatigue
PublicationPurpose – This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of social media fatigue (SMF), and if this occurs, whether it further influences such outcomes as discontinuance of usage (DoU) and interaction engagement decrement (IED). Design/methodology/approach – Through an online structured questionnaire, empirical...
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Influence of algorithmic management practices on workplace well-being – evidence from European organisations
PublicationPurpose Existing literature on algorithmic management practices –defined as autonomous data-driven decision making in people's management by adoption of self-learning algorithms and artificial intelligence – suggests complex relationships with employees' well-being in the workplace. While the use of algorithms can have positive impacts on people-related decisions, they may also adversely influence job autonomy, perceived justice...
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