Career Preference-Personality Mismatch: Leveraging the RIASEC Model in IT-Driven Career Guidance

Whereas choosing a career is a critical life decision, career decision-making process among secondary school students involves misalignment between students’ aspirations and their aptitudes. This study examines the mismatch between career preferences and personality profiles of 717 Ugandan Advanced level and university students from 15 secondary schools and 1 university in Central and Western Uganda. Holland's RIASEC model was used to determine career preferences and determined personality through a 42-item inventory. Statistical analysis in SPSS indicated a substantial misalignment: while nearly 50% of students preferred Investigative or Realistic careers such as engineering and medicine, only 28% demonstrated personality congruence with their preferences. Conversely, students with Social-dominant personalities, rarely selected careers matching this orientation. The overall findings demonstrate a weak positive relationship (Kendall's τ = 0.394) between students’ career preferences and personalities. These results challenge conventional personality-driven career guidance systems, demonstrating their limited applicability in Uganda. Our key contribution lies in transforming mismatches into actionable insights, proposing a hybrid framework that dynamically weights RIASEC profiles against local opportunity data and student aspirations, offering a scalable solution for low-resource educational contexts.

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Publication Details

Journal
Journal of Information Systems and Informatics
Published
2025-06-30
DOI
https://doi.org/10.51519/journalisi.v7i2.1121
Primary Topic
Innovation, Technology, and Society
Type
article
Field-Weighted Citation Impact
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article

Career Preference-Personality Mismatch: Leveraging the RIASEC Model in IT-Driven Career Guidance

Annabella Habinka Basaza‐Ejiri, Gilbert Maiga, Barbara Naluwadda Kayondo, Moses Kamondo Tuhame
Journal of Information Systems and Informatics
Innovation, Technology, and Society
article

Career Preference-Personality Mismatch: Leveraging the RIASEC Model in IT-Driven Career Guidance

Annabella Habinka Basaza‐Ejiri, Gilbert Maiga, Barbara Naluwadda Kayondo, Moses Kamondo Tuhame
article en

Abstract

Whereas choosing a career is a critical life decision, career decision-making process among secondary school students involves misalignment between students’ aspirations and their aptitudes. This study examines the mismatch between career preferences and personality profiles of 717 Ugandan Advanced level and university students from 15 secondary schools and 1 university in Central and Western Uganda. Holland's RIASEC model was used to determine career preferences and determined personality through a 42-item inventory. Statistical analysis in SPSS indicated a substantial misalignment: while nearly 50% of students preferred Investigative or Realistic careers such as engineering and medicine, only 28% demonstrated personality congruence with their preferences. Conversely, students with Social-dominant personalities, rarely selected careers matching this orientation. The overall findings demonstrate a weak positive relationship (Kendall's τ = 0.394) between students’ career preferences and personalities. These results challenge conventional personality-driven career guidance systems, demonstrating their limited applicability in Uganda. Our key contribution lies in transforming mismatches into actionable insights, proposing a hybrid framework that dynamically weights RIASEC profiles against local opportunity data and student aspirations, offering a scalable solution for low-resource educational contexts.

Journal of Information Systems and InformaticsVol. 7(2)
Makerere University (UG)
Openalex Percentile: Top 75%
Innovation, Technology, and Society
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