Intelligent Web Based Employment Providing to Migrant Workers

Authors

  • Abhishek Bajpai  Scholar (B.Tech Final Year) Computer Science & Engineering, B. N. College of Engineering & Technology, Lucknow, India
  • Alok Maurya  Scholar (B.Tech Final Year) Computer Science & Engineering, B. N. College of Engineering & Technology, Lucknow, India
  • Arpit Dixit  Scholar (B.Tech Final Year) Computer Science & Engineering, B. N. College of Engineering & Technology, Lucknow, India
  • Kratika Nishad  Scholar (B.Tech Final Year) Computer Science & Engineering, B. N. College of Engineering & Technology, Lucknow, India
  • Yashika Rai  Scholar (B.Tech Final Year) Computer Science & Engineering, B. N. College of Engineering & Technology, Lucknow, India
  • Er. Rajkumar Yadav  Assistant Professor, Department of Computer Science & Engineering, B. N. College of Engineering & Technology, Lucknow, India

Keywords:

Migrant Workers, Employee Management System, Payroll, Preference, Human Resources, Web Based System.

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.

References

  1. Gui, Y., Berry, J.W., & Zheng, Y. (2012). Migrant worker acculturation in China. Int. J. Intercult. Rel.36(4): 598-610.
  2. Prof. Kameswara Rao Poranki, Y.Perwej, Dr. Asif Perwej, ”The Level of Customer Satisfaction related to GSM in India “, TIJ's Research Journal of Science & IT Management – RJSITM, International Journal's-Research Journal of Science & IT Management of Singapore, ISSN: 2251-1563, Singapore, in www.theinternationaljournal.org as RJSSM, Volume 04, Number: 03, Pages 29-36 , 2015
  3. Hao L, Houser D, Mao L, Villeval MC (2016) Migrations, risks, and uncertainty: A field experiment in china. J. Econ. Behav. Organ. 131:126–140.
  4. Hatton C, Emerson E, Rivers M, Mason H, Swarbrick R, Mason L, Kiernan C, Reeves D, Alborz A (2001) Factors associated with intended staffi turnover and job search behaviour in services for people with intellectual disability. J. Intell. Disabil. Res. 45(3):258–270
  5. Asif Perwej, Dr. Kashiful Haq, Y. Perwej, “Blockchain and its Influence on Market”, International Journal of Computer Science Trends and Technology (IJCST), ISSN 2347 – 8578, Volume 7, Issue 5, Pages 82- 91, Sep – Oct 2019, DOI: 10.33144/23478578/IJCST-V7I5P10
  6. Heckman JJ, Kautz T (2012) Hard evidence on soft skills. Labour. Econ. 19(4):451–464
  7. Conroy, Hector V (2009) Risk Aversion, Income Variability, and Migration in Rural Mexico
  8. Albert C., Hyde J. and M. Shafritz,”Introduction To Tomorrow’s System For Managing Human Resources”, Public Personnel Management. Academic Journal, Vol. 6 Issue 2, pp.70 – 77, 1977
  9. S. Sasikumar & S. Marjudi, “A web-based employee management system”, Applied Information Technology And Computer Science, 2022
  10. E. Ansari.,”Web based employee management system. Institute of Information and Communication Technology (IICT)”, Bangladesh University Of Engineering And Technology (BUET), 2019
  11. Albert C., Hyde J. and M. Shafritz (1977). Introduction To Tomorrow’s System For Managing Human Resources”, Public Personnel Management. Academic Journal, Vol. 6 Issue 2, pp.70 – 77, 1977
  12. Y. Perwej, Dr. Shaikh Abdul Hannan, Firoj Parwej, Nikhat Akhtar , “A Posteriori Perusal of Mobile Computing”, International Journal of Computer Applications Technology and Research (IJCATR), ATS (Association of Technology and Science), India, ISSN 2319–8656 (Online), Volume 3, Issue 9, Pages 569 - 578, 2014, DOI: 10.7753/IJCATR0309.1008
  13. Sadhana J. Kamatkar , Amarapali Tayade , Amelec Viloria , and Ana Hernández-Chacín, “Application of Classification Technique of Data Mining for Employee Management System”, Springer International Publishing AG, part of Springer Nature 2018
  14. Kancho Kanchev, “Employee Management System”, ISSN, ISRN, VXU/MSI, Dec-06
  15. P. U. Singh, H. Singh Fartyal, K. Abdul Ahad Zubair & A. Laddha.,”Employee management system”, International Research Journal Of Engineering And Technology (IRJET), 06(05), 2019
  16. P. B. GLORIA. ,”Employee management system”, University of the Western Cape, 2012
  17. Imbert C, Seror M, Zhang Y, Zylberberg Y (2022) Migrants and firms: Evidence from china. Am. Econ. Rev. 112(6):1885–1914
  18. Levitt SD, List JA (2007) What do laboratory experiments measuring social preferences reveal about the real world? J. Econ. Perspect. 21(2):153–174
  19. Van Huizen T, Alessie R (2019) Risk aversion and job mobility. J. Econ. Behav. Organ. 164:91–106
  20. Oosterbeek H, Sloof R, Van De Kuilen G (2004) Cultural diffierences in ultimatum game experiments: Evidence from a meta-analysis. Exp. Econ. 7(2):171–188
  21. Li F, Wang YY, Zhou L (2015) Study on the employment stability and its influencing factors of manufacturing migrant workers: A case study of Nanjing City. Research of Agricultural Modernization. (in Chinese), 36(5): 778－784.
  22. Saurabh Sahu, Km Divya, Dr. Neeta Rastogi, Puneet Kumar Yadav, Y. Perwej, “Sentimental Analysis on Web Scraping Using Machine Learning Method” , Journal of Information and Computational Science (JOICS), ISSN: 1548-7741, Volume 12, Issue 8, Pages 24-29, August 2022, DOI: 10.12733/JICS.2022/V12I08.535569.67004
  23. Programming: Programming Quick Start Box Set - HTML, Javascript & CSS by Willian Fischer
  24. Nikhat A, Nazia Tabassum, Asif Perwej, Y. Perwej,“ Data Analytics and Visualization Using Tableau Utilitarian for COVID-19 (Coronavirus)”, Global Journal of Engineering and Technology Advances (GJETA), ISSN : 2582-5003, Volume 3, Issue 2, Pages 28-50, 2020, DOI: 10.30574/gjeta.2020.3.2.0029
  25. Kumar Ajith, K S Surabhi. 2007. 'Labour Migration to Kerala : A Study of Tamil Migrant Labourers In Kochi', Center for Socio- Economic and Environmental Studies
  26. Narayana D, Venkiteswaran C S, Joseph M P. 2013. 'Domestic Migrant Labour in Kerala', Gulati Institute of Finance and Taxation

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2023-04-30

Issue

Volume 9, Issue 2, March-April-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Abhishek Bajpai, Alok Maurya, Arpit Dixit, Kratika Nishad, Yashika Rai, Er. Rajkumar Yadav, " Intelligent Web Based Employment Providing to Migrant Workers, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 2, pp.728-737, March-April-2023.