Join our guest lecture (webinar) on April 25 from 14:00 – 15:00, when Dr. Nan Zou Bakkeli from OsloMet presents her project «Digitalisation and perceived job insecurity: A machine learning study in Norway»
Abstract
This paper investigates the relationship between digitalisation and job security in Norway. Employing machine learning models, we (1) predict perceived future job insecurity using an extensive array of features related to digitalisation in the workplace, (2) identify the most significant contributing factors in forecasting perceived future job insecurity, and (3) estimate their causal effects. Drawing on data from the 2019 and 2020 survey waves of the Working Life Barometer (Arbeidslivsbarometeret), our analysis reveals a notable increase in perceived job insecurity associated with negative digital impacts in the workplace. Specifically, changes in work tasks, conditions, constraints, and opportunities due to digitalisation exhibit direct causal effects on perceived future job insecurity in both years. Additionally, experiences within the work environment and the degree of work-life conflict also demonstrate causal impacts on perceived job security in the future. While although the top-ranking causal predictors remain consistent across both years, we found that health conditions, employment sector, and employment temporariness emerged as even more influential in 2020 compared to 2019.
Nan Zou Bakkeli
Bakkeli is a postdoctoral Fellow at CEDIC and a senior researcher at Consumption Research Norway (SIFO), OsloMet. Her research fields are social inequality, medical sociology, social epidemiology, health studies, comparative welfare studies and statistics. Her postdoctor research project at CEDIC explores digital gaps and its consequences on socioeconomic inequalities at both individual and household level.