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Ranking occupations by their proximity to workers' profiles.

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Job seekers face information friction. This study introduces a novel method for personalized occupation recommendations, using skill and ability proximity to expand job search scope and reduce mismatch.

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Area of Science:

  • Labor Economics
  • Occupational Science
  • Human-Computer Interaction

Background:

  • Information friction hinders effective job searching and career transitions.
  • Existing methods for occupation recommendation may not sufficiently capture individual-specific needs and profiles.
  • Understanding worker-occupation proximity is crucial for improving employment outcomes.

Purpose of the Study:

  • To develop and validate a method for generating individual-specific occupation recommendations.
  • To quantify the proximity between job seekers' profiles and occupational requirements.
  • To assess the effectiveness of the proposed method in predicting job change intention and expanding search scope.

Main Methods:

  • Identification of twelve key worker-oriented requirements (skills, abilities, work styles) applicable to all occupations.
  • Measurement of these requirements through online questions and tasks to create individual worker profiles.
  • Calculation of Euclidean distance between worker profiles and occupation requirements to determine proximity.
  • Validation of the proximity measure by correlating it with job seekers' intention to change occupations.

Main Results:

  • The proximity measure between a job seeker's profile and their previous occupation successfully predicted their intention to change jobs, indicating a meaningful capture of occupational mismatch.
  • The proposed method generated occupation recommendations that differed from the previous roles of mismatched job seekers.
  • This suggests the method can effectively identify suitable alternative career paths.

Conclusions:

  • The developed method offers a data-driven approach to personalized occupation recommendations, addressing information friction in the job market.
  • By quantifying worker-occupation proximity, the system can help job seekers discover relevant opportunities beyond their immediate experience.
  • This approach has the potential to broaden job search strategies and improve employment matching outcomes.