The Role of Artificial Intelligence and Data Skills in Improving Gender Diversity across Europe: A Case Study of Logistics Sector
Author(s)
Salihu, Ahmad Zakari
Haratiannezhadi, Azadeh
Schiavone, Giuseppina
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Abstract
This study explores the intersection of gender diversity and Artificial Intelligence (AI) in the European logistics sector, with a focus on how AI can support more inclusive hiring practices and workplace environments. Using a mixed-methods approach, primary data was collected through a gender-disaggregated survey, while secondary data was gathered by scraping job listings on LinkedIn to assess AI skill demands and diversity-related language. Due to a low survey response rate, AI-generated responses were initially considered using GPT-3.5 but ultimately excluded to preserve the authenticity and reliability of the dataset. Survey findings indicate limited effectiveness of existing diversity initiatives, with structural barriers such as mentorship gaps and work-life balance constraints persisting. While respondents expressed interest in AI training, current adoption of AI for diversity purposes is limited. Job postings show growing demand for AI and data skills, mostly in IT roles, with limited emphasis on inclusive hiring language. The study recommends AI-driven bias detection tools, targeted training, and flexible work policies to bridge gender gaps. These insights are valuable for logistics firms and policymakers seeking to align digital transformation with inclusive workforce development.
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Date
2025-06
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Text
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Proceedings
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