Care Workers’ Readiness for Robotization : Identifying Psychological and Socio-Demographic Determinants

Autor: Tuuli Turja, Atte Oksanen, Markus Kaakinen, Sakari Taipale
Přispěvatelé: Yhteiskuntatieteiden tiedekunta - Faculty of Social Sciences, Tampere University, Institute of Criminology and Legal Policy
Jazyk: angličtina
Rok vydání: 2020
Předmět:
0209 industrial biotechnology
minäpystyvyys
care work
Sosiologia - Sociology
muutosvalmius
Applied psychology
02 engineering and technology
Sosiaali- ja yhteiskuntapolitiikka - Social policy
020901 industrial engineering & automation
sosiaalinen normi
hoivatyö
social norms
050107 human factors
media_common
05 social sciences
Variance (accounting)
terveydenhuoltohenkilöstö
5144 Social psychology
surgical procedures
operative

Work (electrical)
8. Economic growth
Job satisfaction
Care work
Psychology
self-efficacy
General Computer Science
Social Psychology
media_common.quotation_subject
change readiness
Control (management)
nurse
technological change
sosiaaliset normit
omatoimisuus
sairaanhoitajat
robotisaatiovalmius
0501 psychology and cognitive sciences
Electrical and Electronic Engineering
Self-efficacy
ComputingMilieux_THECOMPUTINGPROFESSION
Psykologia - Psychology
technology
industry
and agriculture

teknologinen kehitys
Human-Computer Interaction
body regions
Philosophy
Control and Systems Engineering
lähihoitajat
robotit
Survey data collection
hoitaja
Welfare
human activities
hoitotyö
Popis: Successful implementation of robots in welfare services requires that the staff approves of them as a part of daily work tasks. In this study, we identified psychological and socio-demographic determinants associated with readiness for robotization among professional Finnish care-workers. National survey data were collected from professional care workers (n = 3800) between October and November 2016. Random samples were drawn from the member registers of two Finnish trade unions. The data were analyzed with regression models for respondents with and without firsthand experience with robots. The models explained 34–39% of the variance in the readiness for robotization. The readiness was positively associated with self-efficacy, perceived social norms, interest in technology, and perceived impacts on employment. It was also found that the readiness was less determined by age, gender, profession and job satisfaction among the respondents with firsthand robot experience. Among care workers with no experience with robots, older age and lower job satisfaction predicted a readiness for robotization. Care workers stand out as a distinctive group of potential service robot users, with their high confidence in using new technology and low job satisfaction predicting a higher readiness for robotization. Social norms among care workers emerged as an important factor in the readiness for robotization.
Databáze: OpenAIRE