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Information and Communication Workforce Forecasting: Evidence from England

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  • Fethi Aslan

    (Elazığ İl Müdürlüğü)

Abstract

The workforce plays a crucial role in the development of organizations and countries. Therefore, closely monitoring the status of the existing workforce and issues related to individuals entering the workforce is essential. Information and communication technologies (ICT) have resulted in significant consequences in the shift of production and service industries to different areas. This situation implies that advancements in the field of ICT necessitate the development of appropriate skills. Therefore, assessing the current workforce situation and determining future workforce trends are necessary in order to develop the skills required in the ICT field. To achieve this, the article analyzes data from the ICT labor market in England between 1996-2022 and proposes a model to predict the state of the ICT workforce for the upcoming five-year period. As a result, the study predicts the workforce numbers in the ICT field until 2027 and provides a forecast regarding the expected future. According to the findings, this study projects that the workforce in the IT sector will increase during each three-month period until 2027. The increase is expected to occur at a rate of 9.5% during the period of 2023-2027. This result is highly important as it provides a basis of a scenario analysis for different stakeholders on how to plan regarding job loss risks, wages, and education-related matters.

Suggested Citation

  • Fethi Aslan, 2023. "Information and Communication Workforce Forecasting: Evidence from England," Journal of Social Policy Conferences, Istanbul University, Faculty of Economics, issue 85, pages 117-126, December.
    • Handle: RePEc:ist:iujspc:y:2023:i:85:p:117-126
    DOI: 10.26650/jspc.2023.85.1312322
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    References listed on IDEAS

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    1. Vicente, María Rosalía & López-Menéndez, Ana J. & Pérez, Rigoberto, 2015. "Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 132-139.
    2. Armida Salsiah Alisjahbana & Maman Setiawan & Nury Effendi & Teguh Santoso & Baruna Hadibrata, 2020. "The adoption of digital technology and labor demand in the Indonesian banking sector," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 47(9), pages 1109-1122, August.
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