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Intelligent Web Based Employment Providing to Migrant Workers

Author

Listed:
  • Abhishek Bajpai
  • Alok Maurya
  • Arpit Dixit
  • Kratika Nishad
  • Yashika Rai
  • Rajkumar Yadav

Abstract

A significant portion of the labor force in many nations' economic development consists of migrant laborer’s. Their judgements on turnover may have an impact on the manufacturing sectors' capacity to execute steadily. It's critical to comprehend how a person's unique behavioral preferences could influence how frequently they change jobs. Using a sizable online-to-offline job-matching platform, this study performs a lab-in-the-field experiment to extract preferences from manufacturing migrant workers, including uncertainty attitudes, intertemporal decisions, and social preferences, particularly difference aversion. By creating an approachable online portal that links migrant workers with employment prospects, the initiative seeks to solve the pressing problem of migrant workers' lack of employment. When looking for work abroad, migrant workers encounter several difficulties, such as communication obstacles, information gaps, and unfair labor practices. This website will act as a thorough platform to close these gaps and give migrant workers better access to just and respectable employment. A variety of features and capabilities will be available on the online site to assist and empower migrant workers in their job hunt. It will offer a multilingual, user-friendly interface that makes it simple for employees to traverse the portal and comprehend application procedures and employment criteria. Additionally, the portal will provide extensive job listings that are customized to the tastes and skill sets of foreign workers, guaranteeing them access to a variety of employment options.

Suggested Citation

  • Abhishek Bajpai & Alok Maurya & Arpit Dixit & Kratika Nishad & Yashika Rai & Rajkumar Yadav, 2023. "Intelligent Web Based Employment Providing to Migrant Workers," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 9(2), pages 728-737, April.
  • Handle: RePEc:jbh:ijsrcs:v9:y2023:i2:id:hcseit2390551
    Note: Article URL: https://ijsrcseit.com/CSEIT2390551
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