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The Impact of Artificial Intelligence on Talent Acquisition Strategies in Jordanian Technology Startups

  • Muthnna Mohammad Khalaf Alkhawaldeh,
  • Anees Janee Bin Ali,
  • Anber Abraheem Shlash Mohammad,
  • Tamather Majed Shatnawi,
  • Ala’a Al-Momani,
  • AbedElkareem Alzoubi,
  • Rehan Tareq Al-Majali,
  • Zeid Naiel Aissa al-fugaha,
  • Sulieman Ibraheem Shelash Al-Hawary

摘要

This research explores the nuanced impact of Artificial Intelligence (AI) on talent acquisition strategies within Jordanian technology startups. Primary data relevant to the research was collected using a quantitative method with a cross-sectional design. Through a convenience sample of 361 managers in Jordanian technology start-ups, the hypothesized relationship was investigated according to the structural equation modeling technique. The study concluded that the dimensions of artificial intelligence have an important impact on talent acquisition strategies, including expert systems that have the greatest impact. Therefore, continuous monitoring of AI tools and customizing them to the local context contributes to their effectiveness and importance in the dynamic Jordanian talent landscape.