TY - JOUR
T1 - Do automation and AI impact on job reduction? A study on perceived risk of losing job among white-collars in the Italian manufacturing companies
AU - Chiarini, Andrea
AU - Grando, Alberto
AU - Venturini, Sergio
AU - Borgonovo, Emanuele
PY - 2023
Y1 - 2023
N2 - The risk of losing one’s job is surely among the most common risks, especially considering the pro- gress of automation and artificial intelligence brought by the so-called fourth industrial revolution. Previous studies have focused on the measurement of the perception of this risk at large or the risk of losing job at blue-collars level, while this study, instead, aims at specifically focusing on the risk per- ceived by white-collar workers employed in Italian manufacturing companies. We investigated whether and to what extent the main job-related characteristics – age, education, department, position in the organization chart, and company size – can influence the perceived fear of losing one’s job. We used an on-line questionnaire involving 302 white-collar respondents, modelling the predictors and the out- come using logistic regression. The findings show, in general, an optimistic point of view from the respondents and a statistically significant correlation between the kind of department, the kind of job and the size of the company and the perceived risk. The inquiry was also conducted through a quali- tative analysis of the comments left by the respondents, uncovering traces of the phenomena that could have affected the optimistic and pessimistic points of view.
AB - The risk of losing one’s job is surely among the most common risks, especially considering the pro- gress of automation and artificial intelligence brought by the so-called fourth industrial revolution. Previous studies have focused on the measurement of the perception of this risk at large or the risk of losing job at blue-collars level, while this study, instead, aims at specifically focusing on the risk per- ceived by white-collar workers employed in Italian manufacturing companies. We investigated whether and to what extent the main job-related characteristics – age, education, department, position in the organization chart, and company size – can influence the perceived fear of losing one’s job. We used an on-line questionnaire involving 302 white-collar respondents, modelling the predictors and the out- come using logistic regression. The findings show, in general, an optimistic point of view from the respondents and a statistically significant correlation between the kind of department, the kind of job and the size of the company and the perceived risk. The inquiry was also conducted through a quali- tative analysis of the comments left by the respondents, uncovering traces of the phenomena that could have affected the optimistic and pessimistic points of view.
KW - Automation
KW - White-Collars
KW - artificial intelligence
KW - industry 4.0
KW - job loss
KW - Automation
KW - White-Collars
KW - artificial intelligence
KW - industry 4.0
KW - job loss
UR - http://hdl.handle.net/10807/259454
UR - https://www.tandfonline.com/doi/full/10.1080/09537287.2023.2244925
U2 - 10.1080/09537287.2023.2244925
DO - 10.1080/09537287.2023.2244925
M3 - Article
SN - 0953-7287
VL - 2023
SP - 1
EP - 14
JO - PRODUCTION PLANNING & CONTROL
JF - PRODUCTION PLANNING & CONTROL
ER -