This paper aims to provide evidence of what fixes the information technology skills shortage. The focus is on countries' workforce development factors, i.e., human and technology. The research model was tested using secondary data from multiple sources. An ordinary least square with panel corrected standard errors was used to analyze the data. The results indicate that organizations' staff training and gender parity among science, technology, engineering, and mathematics graduates relate negatively to IT talent shortage; this is consistent in both models the authors tested. This study contributes to the IT workforce literature by being the first study that empirically examines the relationships between IT skills shortage and the relevant workforce development factors. Besides, objective measures of IT skills shortage were used, thus overcoming issues that might arise from using the subjective ones, such as counting the number of IT job openings based on predetermined occupation codes. For policymakers wanting to fix the IT skills shortage, the results revealed factors that can help fix the issue in the short term. Future research could examine other factors, such as policy or gender parity in IT careers if appropriate data is available.


IT workforce, skills shortage, STEM workforce, workforce development, human and technology resource

Chinese Abstract


本文旨在为解决信息技术能力的方法提供依据,重点考察了各国劳动力发展因素,如人力和技术。研究模型采取多途径采集的次级数据,运用经面板修正准差的普通最小二乘法进行数据分析。结果显示,组织中的员工培训与科学、技术、工程和数学毕业生中的性别平等与信息技术人才短缺呈负相关。此结论在作者测试的两个模型中保持一致。本文对信息技术劳动力的相关文献做出了贡献,首次以数据为依据检视信息技术能力短缺与相关的劳动力发展因素之间的关系。此外,文中客观量度了信息技术的能力短缺,从而克服了主观量度法可能造成的问题,如基于预设的职业编码来计算信息技术相关的职位空缺。对希冀解决信息技术能力不足的决策者而言,文中结论揭示了有助于在短期内解决问题的方法。如具备适当数据,未来研究可探讨其他因素,如政策或信息技术职业中的性别平等。 本文旨在为解决信息技术能力的方法提供依据,重点考察了各国劳动力发展因素,如人力和技术。研究模型采取多途径采集的次级数据,运用经面板修正准差的普通最小二乘法进行数据分析。结果显示,组织中的员工培训与科学、技术、工程和数学毕业生中的性别平等与信息技术人才短缺呈负相关。此结论在作者测试的两个模型中保持一致。本文对信息技术劳动力的相关文献做出了贡献,首次以数据为依据检视信息技术能力短缺与相关的劳动力发展因素之间的关系。此外,文中客观量度了信息技术的能力短缺,从而克服了主观量度法可能造成的问题,如基于预设的职业编码来计算信息技术相关的职位空缺。对希冀解决信息技术能力不足的决策者而言,文中结论揭示了有助于在短期内解决问题的方法。如具备适当数据,未来研究可探讨其他因素,如政策或信息技术职业中的性别平等。




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