Predicting Job Skills in Demand: A Big Data Approach

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Full Text Article
Published: 08-05-2023
DOI: https://doi.org/10.3329/dujbst.v42i2.59723
Keywords:
Big Data, Skill Gap, Data Mining

Main Article Content

Md. Rakibul Hoque
Department of Management Information Systems, University of Dhaka
Md Ariful Islam
Department of Management Information Systems, University of Dhaka

Abstract

The number of unemployed graduates is increasing due to a mismatch in the job skills and skill shortage. The mismatch in job skills has increased further due to technological changes like digital transformation. In Bangladesh, many companies hire skilled people from abroad because of the lack of training among graduates. Therefore, the study aims to apply big data analysis to find and predict job skills in demand. The data was mainly collected from the largest job-posting website (i.e., bdjobs.com) in Bangladesh. Natural Language Processing (NLP) was used for linguistic analysis components (for pre-processing) and tagging named identity. The finding shows business development skills, data visualization, oral communication, Microsoft Excel and working under pressure have the most demand in the categories of business knowledge skills, analytical problem skills, interpersonal communication skills, computer literacy skills, and organizational skills respectively. The study shows that big data analysis and the use of the Auto Regressive Integrated Moving Average (ARIMA) model can predict job skills in demand, which can help reduce the mismatch and gaps in job skills in demand. Overall, this study will contribute to reducing the number of unemployed graduates in Bangladesh.

Article Details

Issue

Vol. 42 No. 2 (2021): Vol. XLII No. 2, 2021

Section

Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles in the Dhaka University Journal of Business Studies are Open Access articles published under the Creative Commons CC BY-NC-ND License Attribution-NonCommercial-NoDerivatives 4.0 International License

How to Cite

Predicting Job Skills in Demand: A Big Data Approach. (2023). Dhaka University Journal of Business Studies, 42(2), 221-239. https://doi.org/10.3329/dujbst.v42i2.59723

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