Evaluating on Mismatches and Inaccurate Recommendations of Job Matching Platform: The Effectiveness of Mobile Job Matching Platform in Malaysia

In Malaysia, the top job matching platforms are Linkedin, Jobstreet and Maukerja were the leading platforms with millions of user (Wei, 2023; Samah et al., 2022; Maukerja, n.d.). This platform offers advantages to both job seekers and employers. For the job seekers, the usage of smart technology can save time and help match jobs that suit job seekers’ skills and experiences. Then, this job matching platform can find suitable candidates faster and saves costs for employers. By hiring the right people, companies can improve performance and reduce employee turnover (Shift iQ, 2023). However, this platform also provides inaccurate recommendations and mismatched jobs for the users. Therefore, a qualitative study was conducted for this study and document analysis was used to collect data regarding cause mismatches and inaccurate job suggestions to users of the job matching platform on the mobile application. Then, thematic analysis was carried out to analyze the data that has been collected. This study provides useful information to enhance the effectiveness of the job matching platform by offering better recommendations to users as well as improve user experience by fulfilling the needs and preferences of users.

Mobile Application, Job Matching Platform, User Interface, Malaysia

1. Ahamad, F. (2020). Impact of Online Job Search and Job Reviews on Job Decision. Proceedings of the 13th International Conference on Web Search and Data Mining, 909–910. https://doi.org/10.1145/3336191.3372184 [Google Scholar] [Crossref]

2. Alsaif, S. A., Hidri, M. S., Eleraky, H. A., Ferjani, I., & Amami, R. (2022a). Learning-Based Matched Representation System for Job Recommendation. Computers, 11(11). https://doi.org/10.3390/computers11110161 [Google Scholar] [Crossref]

3. Alsaif, S. A., Hidri, M. S., Ferjani, I., Eleraky, H. A., & Hidri, A. (2022b). NLP-Based Bi-Directional Recommendation System: Towards Recommending Jobs to Job Seekers and Resumes to Recruiters. Big Data and Cognitive Computing, 6(147), 1. https://doi.org/10.3390/bdcc6040147 [Google Scholar] [Crossref]

4. Bergstrom, K. (2021, February 2). What is Behind The (Glass)Door? Examining Toxic Workplace Cultures Via an Employment Review Site. The 22nd Annual Conference of the Association of Internet Researchers. https://doi.org/10.5210/spir.v2018i0.10473 [Google Scholar] [Crossref]

5. Bondar, O. (2023). Important LinkedIn Statistics Data & Trends. LinkedIn. [Google Scholar] [Crossref]

6. Bowen, G. A. (2009). Document Analysis as a Qualitative Research Method. Qualitative Research Journal, 9(2), 27–40. https://doi.org/10.3316/QRJ0902027 [Google Scholar] [Crossref]

7. Cardno, C. (2018). Policy Document Analysis: A Practical Educational Leadership Tool and a Qualitative Research Method. Kuram ve Uygulamada Eğitim Yönetimi, 24(4), 623–640. https://doi.org/10.2018/Revision [Google Scholar] [Crossref]

8. Chaudhry, M. A., Khalid, R., & Özcan, R. (2022). Determinants of Job Mismatch Among Graduates: A Case Study of Clerical Workers at Lahore, Pakistan. Academica, 92(3), 175–185. https://doi.org/10.17576/akad-2022-9203-13 [Google Scholar] [Crossref]

9. Esparza, M. (2023). 4 AI Job Matching platforms for Job Seekers. Indeed. [Google Scholar] [Crossref]

10. Faberman, R. J., Mazumder, B., Faberman, J., & Mazumder, B. (2012). Is There a Skills Mismatch in The Labor Market?; www.chicagofed.org. [Google Scholar] [Crossref]

11. Foresight Insight. (2024). Digital Job Search Platform Market Insights, Market Players and Forecast Till 2031. [Google Scholar] [Crossref]

12. Glassdoor. (n.d.a). About Us/Press. Glassdoor. [Google Scholar] [Crossref]

13. Glassdoor. (n.d.b). Glassdoor Employer Center Guide. Glassdoor. [Google Scholar] [Crossref]

14. Goyal, A., Raj, A., Bajaj, T., & Kour, Ms. S. (2023). Job-Recommendation Website. International Journal for Research in Applied Science and Engineering Technology, 11(12), 178–184. https://doi.org/10.22214/ijraset.2023.57176 [Google Scholar] [Crossref]

15. Green, T. A. (2023). Using Nlp to Resolve Mismatches Between Jobseekers and Positions in Recruitment. [Google Scholar] [Crossref]

16. Gunaratne, C., Baral, N., Rand, W., Garibay, I., Jayalath, C., & Senevirathna, C. (2020). The Effects of Information Overload on Online Conversation Dynamics. http://arxiv.org/abs/1910.09686 [Google Scholar] [Crossref]

17. Hasan, M., Haque, Md. A., Nishat, S. S., & Hossain, Md. M. (2024). Upskilling and Reskilling in a Rapidly Changing Job Market: Strategies for Organizations to Maintain Workforce Agility and Adaptability. European Journal of Business and Management Research, 9(6), 118–126. https://doi.org/10.24018/ejbmr.2024.9.6.2502 [Google Scholar] [Crossref]

18. Herrity, J. (2023). 15 Top Qualities Employers Look For in Job Candidates. Indeed. [Google Scholar] [Crossref]

19. Hosain, M. S., & Liu, P. (2020). Linked in for Searching Better Job Opportunity: Passive Jobseekers’ Perceived Experience. Qualitative Report, 25(10), 3719–3732. https://doi.org/10.46743/2160-3715/2020.4449 [Google Scholar] [Crossref]

20. Indeed. (2024a). Document Analysis Guide: Definition and How To Perform It. Indeed. [Google Scholar] [Crossref]

21. Indeed. (2024b). Job Specification: Definition, Elements and Examples. Indeed. [Google Scholar] [Crossref]

22. Indeed. (2024c). What is a Matching and Hiring Platform? A Guide for Employers. Indeed. [Google Scholar] [Crossref]

23. Jones, S., & Manhique, I. (2022). Digital Labour Platforms as Shock Absorbers. https://doi.org/10.35188/UNU-WIDER/2022/242-3 [Google Scholar] [Crossref]

24. Jones, S., Santos, R., & Xirinda, G. (2024). Employment Mismatches Drive Expectational Earnings Errors among Mozambican Graduates. The World Bank Economic Review, 38(1), 51–73. https://doi.org/10.1093/wber [Google Scholar] [Crossref]

25. Kampira, A. (2021). A Brief Introduction to Thematic Analysis. https://doi.org/10.13140/RG.2.2.25899.57128 [Google Scholar] [Crossref]

26. Kiger, M. E., & Varpio, L. (2020). Thematic Analysis of Qualitative Data: AMEE Guide No. 131. Medical Teacher, 42(8), 2. https://doi.org/10.1080/0142159X.2020.1755030 [Google Scholar] [Crossref]

27. Kokkodis, M., & Ipeirotis, P. G. (2023). The Good, the Bad, and the Unhirable: Recommending Job Applicants in Online Labor Markets. Management Science, 69(11), 0–000. https://doi.org/10.1287/xxxx.0000.0000 [Google Scholar] [Crossref]

28. Langhans, J. (2023). Bridging the Gap: Addressing the Mismatch Between Job Seekers and Online Job Openings. LinkedIn. [Google Scholar] [Crossref]

29. Le, R., Zhang, T., Hu, W., Zhao, D., Song, Y., & Yan, R. (2019). Towards Effective and Interpretable Person-Job Fitting. International Conference on Information and Knowledge Management, Proceedings, 1883–1892. https://doi.org/10.1145/3357384.3357949 [Google Scholar] [Crossref]

30. Lian, T. (2023). Imbalance Between Supply and Demand in Chinas Labor Market Facing by the Graduates. 2nd International Conference on Financial Technology and Business Analysis, 56(1), 203–208. https://doi.org/10.54254/2754-1169/56/20231145 [Google Scholar] [Crossref]

31. Man, H. (2023). Traditional VS Modern Job-Seeking Methods. Indeed. [Google Scholar] [Crossref]

32. Markus, A. (2023). Discovering Technological Advances In Job Searching. Indeed. [Google Scholar] [Crossref]

33. Maukerja. (n.d.). About. [Google Scholar] [Crossref]

34. Morgan, H. (2022). Conducting a Qualitative Document Analysis. Qualitative Report, 27(1), 64–77. https://doi.org/10.46743/2160-3715/2022.5044 [Google Scholar] [Crossref]

35. Nunez, J. (2023). Everything You Need To Know About LinkedIn Easy Apply. Jobscan. [Google Scholar] [Crossref]

36. Osborne, H., & Vandenberg, P. (2023). Job Matching for Youth in Asia and The Pacific. [Google Scholar] [Crossref]

37. Rosairo, H. S. R. (2023). Thematic Analysis in Qualitative Research. Journal of Agricultural Sciences - Sri Lanka, 18(3), 2. https://doi.org/10.4038/JAS.V18I3.10526 [Google Scholar] [Crossref]

38. Samah, K. A. F. A., Wirakarnain, N. S. D., Hamzah, R., Moketar, N. A., Riza, L. S., & Othman, Z. (2022). A Linear Regression Approach to Predicting Salaries with Visualizations of Job Vacancies: A Case Study of Jobstreet Malaysia. IAES International Journal of Artificial Intelligence, 11(3), 1130–1142. https://doi.org/10.11591/ijai.v11.i3.pp1130-1142 [Google Scholar] [Crossref]

39. Seyidova, N. (2023). The Influence of Context on the Semantics of a Word. Path of Science, 9(8), 8007–8011. https://doi.org/10.22178/pos.95-38 [Google Scholar] [Crossref]

40. [41] Shahrzadi, L., Mansouri, A., Alavi, M., & Shabani, A. (2024). Causes, Consequences, and Strategies to Deal with Information Overload: A Scoping Review. International Journal of Information Management Data Insights, 4(2). https://doi.org/10.1016/j.jjimei.2024.100261 [Google Scholar] [Crossref]

41. Shanfari, S. A. Al. (2024). Exploration on Job Mismatch with Job Placement: Employers Perspective in Sultanate of Oman. International Journal of Academic Research in Business and Social Sciences, 14(1). https://doi.org/10.6007/ijarbss/v14-i1/20471 [Google Scholar] [Crossref]

42. Shift iQ. (2023). Job Matching: Streamlining Career & Hiring Success. Linkedin. [Google Scholar] [Crossref]

43. Wang, J., Li, Y., Hirota, W., & Kandogan, E. (2022). Machop: an End-to-End Generalized Entity Matching Framework. SIGMOD/PODS ’22: International Conference on Management of Data. [Google Scholar] [Crossref]

44. Wei K. S. (2023). LinkedIn in Malaysia: A Comprehensive Overview of the Growing Professional Network in 2023. [Google Scholar] [Crossref]

45. Widodo, R. I. H., Herdiyanto, R. F., Thoriq, M., & Rahman, I. S. (2024). Job Recommendation System Combining Collaborative Filtering and Content Based Filtering. https://doi.org/10.20944/preprints202407.1700.v1 [Google Scholar] [Crossref]

46. World Bank. (2023). The Use of Advanced Technology in Job Matching Platforms: Recent Examples from Public Agencies. https://paraempleo.mtess.gov.py/en/ [Google Scholar] [Crossref]

47. Yang, C., Hou, Y., Song, Y., Zhang, T., Wen, J. R., & Zhao, W. X. (2022). Modeling Two-Way Selection Preference for Person-Job Fit. In RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. https://doi.org/10.1145/3523227.3546752 [Google Scholar] [Crossref]

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