My Boss the Computer: A Bayesian analysis of socio-demographic and cross-cultural determinants of attitude toward the Non-Human Resource Management
Mantello Peter, Manh-Tung Ho, Minh-Hoang Nguyen, Quan-Hoang Vuong

TL;DR
This study uses Bayesian analysis on survey data from 48 countries to explore socio-demographic and cultural factors influencing attitudes toward emotional AI in future workplaces, revealing significant cross-cultural differences.
Contribution
It introduces a Bayesian network modeling approach to analyze cross-cultural attitudes toward emotional AI, highlighting socio-demographic and regional influences.
Findings
Higher income and familiarity with AI correlate with positive attitudes.
Less developed regions show more concern about AI management.
East Asian respondents tend to trust AI more than Europeans and North Americans.
Abstract
Human resource management technologies have moved from biometric surveillance to emotional artificial intelligence (AI) that monitor employees' engagement and productivity, analyze video interviews and CVs of job applicants. The rise of the US$20 billion emotional AI industry will transform the future workplace. Yet, besides no international consensus on the principles or standards for such technologies, there is a lack of cross-cultural research on future job seekers' attitude toward such use of AI technologies. This study collects a cross-sectional dataset of 1,015 survey responses of international students from 48 countries and 8 regions worldwide. A majority of the respondents (52%) are concerned about being managed by AI. Following the hypothetico-deductivist philosophy of science, we use the MCMC Hamiltonian approach and conduct a detailed comparison of 10 Bayesian network models…
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Taxonomy
TopicsSocial and Intergroup Psychology · Behavioral Health and Interventions · Death Anxiety and Social Exclusion
