İŞ STRESİNİN PROAKTİF DAVRANIŞ ÜZERİNDEKİ ETKİSİNDE YAPAY ZEKÂ GENEL TUTUMUN MODERATÖR ROLÜ

Year 2025, Issue: 49, 313 - 328

Fevziye Bekar

https://doi.org/10.18092/ulikidince.1716295

Abstract

Bu çalışmanın amacı, Duygusal Olaylar Teorisi temelinde iş stresinin proaktif davranış üzerindeki etkisinde yapay zekâya yönelik genel tutumun moderatör rolünü incelemektir. Araştırmanın örneklemini sağlık çalışanları oluşturmaktadır. Veriler, kolayda örneklem yöntemi, boylamsal veri toplama tasarımı benimsenerek iki farklı zamanda toplanmış, elde edilen 205 katılımcıdan gelen veriler basit doğrusal regresyon, PROCESS Macro (Model 1) ile analiz edilmiştir. Analiz sonuçları, yapay zekâya yönelik genel tutumun iş stresi ile proaktif davranış arasındaki ilişkide moderatör rolü üstlendiğini göstermiştir. Bu çalışma, Duygusal Olaylar Teorisi'nin yapay zekâ temelli teorik bir bakış açısıyla geliştirilmesine katkı sağlamaktadır. Bir diğer özgün yönü ise, araştırmada yapay zekâ temelli bir analiz yaklaşımı kullanılmış olmasıdır. Bu yönüyle bu araştırma, geleneksel analiz yöntemlerinin sonuçlarıyla yapay zekâya dayalı analiz yaklaşımlarının karşılaştırılmasına da katkı sağlamaktadır.

Keywords

Duygusal Olaylar Teorisi , iş stresi , yapay zeka genel tutum , proaktif davranış

Ethical Statement

E-95674917-108.99-322070 numaralı sayı ile Gümüşhane Üniversitesi Etik Kurulundan araştırma izni alınmıştır

Supporting Institution

Gümüşhane Üniversitesi

THE MODERATING ROLE OF GENERAL ATTITUDE TOWARD ARTIFICIAL INTELLIGENCE IN THE EFFECT OF JOB STRESS ON PROACTIVE BEHAVIOR

Abstract

The aim of this study is to examine the moderating role of general attitude toward artificial intelligence in the effect of job stress on proactive behavior, based on Affective Events Theory. The sample of the study consisted of healthcare professionals. The data were collected at two different times using a convenience sampling method and a longitudinal research design; data from 205 participants were analyzed using simple linear regression and the PROCESS Macro (Model 1). The results of the analysis showed that general attitude toward artificial intelligence had a moderating role in the relationship between job stress and proactive behavior. This study contributes to the development of Affective Events Theory through an AI-based theoretical perspective. Another original aspect of this study is the use of an artificial intelligence-based analysis approach. In this respect, the study further contributes by comparing the results of traditional analysis methods with those of artificial intelligence-based approaches.

Keywords

Affective Events Theory , Job Stress , General Attitude Toward Artificial Intelligence , Proactive Behavior

Ethical Statement

The research was started with the permission numbered E-95674917-108.99-322070 from the Scientific Research and Publication Ethics Committee of the University.

Supporting Institution

Gumushane Unıversity

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