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Does the digitalised era adjust the mismatch as match? A comparison of graduates from different streams to align HE and industry in Bangladesh

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  • Gazi Mahabubul Alam
  • Md. Mahfuzur Rahman
  • Vesna Skrbinjek
  • Nor Azni Abdul Aziz
  • Karima Bashir
  • Romana Kader

Abstract

Extensive research has been conducted on the causes of the developing mismatch between education and the labour market, its consequences, and potential solutions. Despite this, the mismatch issue persists, exacerbated by ongoing digitisation and the rise of artificial intelligence (AI) in the workplace. Acknowledging this, the researchers delve deeper into whether the challenges of mismatch find resonance in the digital era. An individualist approach was taken to address each research question, employing descriptive statistics, multinomial logistic regression, and interviews. This encompassed both quantitative and qualitative methodologies. The results indicate that the performance of the fully mismatched group (science graduates) surpasses that of their fully matched counterparts (business graduates). Consequently, digitalisation has heightened the mismatch problem, rendering business graduates relatively irrelevant to the workplace. This paper enriches the discussion on education and the labour market mismatch by employing a unique measurement approach. This study contends that digital and computer-related skills have become a universal competency for various industries, irrespective of their nature (scientific or trade-related). Consequently, all education disciplines (business, science, social sciences) should equip graduates with digitalised/computing skills so that they are not excluded from the labour market.

Suggested Citation

  • Gazi Mahabubul Alam & Md. Mahfuzur Rahman & Vesna Skrbinjek & Nor Azni Abdul Aziz & Karima Bashir & Romana Kader, 2025. "Does the digitalised era adjust the mismatch as match? A comparison of graduates from different streams to align HE and industry in Bangladesh," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 38(1), pages 92-115.
  • Handle: RePEc:ids:ijilea:v:38:y:2025:i:1:p:92-115
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