The careers of research scientists: Predictors of three dimensions of career commitment and intention to leave science

• Published in: Personnel review 2006-01, Vol.35 (3), p.229-251
• Main Authors: Kidd, Jennifer M, Green, Frances
• Format: Article
• Language: English
• Subjects: Biomedical research; Career development planning; Careers; Commitments; Employment; Gender; Gender differences; Job satisfaction; Professionals; Responsibilities; Science; Scientists; Studies; Women
• ISSN: 0048-3486; 1758-6933
• DOI: 10.1108/00483480610656676

Purpose - This study seeks to identify some of the factors that explain biomedical research scientists' career commitment and that prompt them to consider leaving science. It also aims to examine whether these factors differ between men and women, and between those with different family responsibilities. Design/methodology/approach - A longitudinal questionnaire survey was used to identify the demographic and work-related variables that predicted three dimensions of career commitment and intention to leave science one year later. Findings - The factors explaining career commitment and intention to remain in the profession were similar for men and women, for those with various types of family responsibilities, and for those on permanent and temporary contracts. Career planning was predicted by continuance organizational commitment and the opportunity for autonomy in the workplace, and career resilience by equitable treatment at work. Career identity, career resilience and salary were predictors of intention to leave science. Research limitations/implications - Limitations of the study include the lack of a random sample, and the fact that some instruments differ slightly from the original versions. A substantial proportion of the variance in intention to leave science was unexplained and further research should therefore explore the impact of career entrenchment, professional socialisation and aspects of personal disposition on intention to leave a profession. Practical implications - Those who manage scientists' careers should attend particularly to pay, providing opportunities for working autonomously, and fair treatment. Originality/value - A longitudinal design was used and some key workplace variables were studied. Unlike most previous studies, the moderating effects of gender, relationship status and parenthood were examined.