Predicting technostress: The Big Five model of personality and subjective well-being

The main goal of the current study is to broaden the knowledge on the association between personality, subjective well-being (SWB) and technostress in an academic context. This research specifically examines the prevalence of technostress in a European university sample. It also explores the relatio...

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Bibliographic Details
Published in:PloS one 2024-11, Vol.19 (11), p.e0313247
Main Authors: Cuadrado, Dámaris, Otero, Inmaculada, Martínez, Alexandra, París, Tania, Moscoso, Silvia
Format: Article
Language:English
Subjects:
Academic achievement
Adolescent
Adult
Anxiety
Attitudes
Biology and Life Sciences
College students
Colleges & universities
Communications technology
Emotions
Fatigue tests
Female
Five-factor personality model
Humans
Information technology
Male
Medicine and Health Sciences
Models, Psychological
Multiple regression analysis
People and Places
Personal Satisfaction
Personality
Personality traits
Physical Sciences
Predictions
Psychological aspects
Psychological factors
Research and Analysis Methods
Social Sciences
Stress
Stress (Psychology)
Students - psychology
Technology application
Universities
Well being
Young Adult
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Summary:The main goal of the current study is to broaden the knowledge on the association between personality, subjective well-being (SWB) and technostress in an academic context. This research specifically examines the prevalence of technostress in a European university sample. It also explores the relationship between technostress and its dimensions with the Big Five model of personality and with SWB and its affective and cognitive components. Finally, the combined predictive validity of the Big Five and SWB on technostress is tested. The sample was composed of 346 undergraduate students. Correlational and multiple regression analyses were carried out. Results show that fatigue and anxiety are the most frequently experienced dimensions of technostress. Emotional stability, openness to experience, and SWB are negatively and significantly correlated to technostress. Multiple regression analyses show that the Big Five factors and SWB account for technostress variance, the main predictor being the affective component of SWB. These results contribute to a more comprehensive understanding of technostress and suggest that personality traits and SWB are important factors in its prediction. The theoretical and practical implications will be discussed.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0313247