IDEAS home Printed from https://ideas.repec.org/a/dbk/datame/v3y2024ip389id1056294dm2024389.html
   My bibliography  Save this article

Employment cognition and occupational contradictions among college graduates under the new employment form – based on data analysis

Author

Listed:
  • Hong Xiang
  • Anrong Wang
  • Wenxi Tan
  • Xiaoju Dai
  • Le Zhang

Abstract

Total employment among college grads is now under significant pressure, and structural conflicts are quite visible. People are starting to take notice of the serious job crisis that college students face. According to the research study, college students' employment cognition is a key factor in this problem. The importance of enhancing students' employment cognition cannot be overstated. According to the article, knowing the important aspects that could affect one's job cognition is the first step in improving students' employment cognition. SEM analysis shows these characteristics were positively and substantially associated with employment cognition. This article aims to use big data technologies to conduct extensive studies and analyses on AI employment cognition and occupational contradictions. The first step is implementing a scientific approach to building a multi-level linked big data management platform for Employment Cognition. The platform will be used during the development of Employment career advancement. The subsequent objective is to build an employment team by including information resources. Finally, the results show a huge variation in self-ability cognition and a remarkable difference in how college students think about their job capacity due to new work. Their physiological features and societal expectations are related to this. However, the most critical factor in enhancing the quality of college graduates' jobs is for the relevant department to improve the nurturing of their prior abilities in this area

Suggested Citation

Handle: RePEc:dbk:datame:v:3:y:2024:i::p:389:id:1056294dm2024389
DOI: 10.56294/dm2024389
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dbk:datame:v:3:y:2024:i::p:389:id:1056294dm2024389. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Javier Gonzalez-Argote (email available below). General contact details of provider: https://dm.ageditor.ar/ .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.