Service employees’ appraisals toward artificial intelligence, robotics and automation in the workplace – results of exploratory and confirmatory factor analyses

Purpose: In view of the rapid advancements in artificial intelligence, robotics, and automation (AIRA) within service industries, it is crucial to understand how these technologies are perceived by organizational members to ensure their effective implementation.Therefore, the purpose of this paper is to gain insights into employees' appraisals toward AIRA in the workplace in service settings.Design/methodology/approach: A quantitative approach was adopted, with data being collected via a self-administered online survey from 369 service employees in Poland.The sample was randomly split into two subsamples.The first subsample was used for exploratory factor analysis (EFA), while the second subsample was used for confirmatory factor analysis (CFA).Findings: The results of the EFA and CFA indicate that the AIRA appraisal scale is multidimensional and consists of three subscales: resource appraisal toward AIRA, challenge appraisal toward AIRA, and hindrance appraisal toward AIRA.AIRA in the workplace is perceived by service employees predominantly as a resource, then as a challenge, and lastly as a hindrance.Research limitations/implications: The data collection was based on the non-random sampling technique and the questionnaire was disseminated among employees of selected service industries in Poland, which limits the generalizability of the findings beyond the specific context of this research.Originality/value: Drawing upon the refined job demands-resources (JD-R) model, the study provides a comprehensive and nuanced perspective on employees' perceptions of AIRA integration into service delivery processes.The proposed perspective is better suited to explain employees' attitudinal and behavioral reactions to AIRA-driven changes in the work environment.

Publication Details

Journal
Scientific Papers of Silesian University of Technology Organization and Management Series
Published
2025-01-01
DOI
https://doi.org/10.29119/1641-3466.2025.219.4
Citations
2
Primary Topic
Business and Economic Development
Type
article
Field-Weighted Citation Impact
4.84
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article

Service employees’ appraisals toward artificial intelligence, robotics and automation in the workplace – results of exploratory and confirmatory factor analyses

2 citations
Scientific Papers of Silesian University of Technology Organization and Management Series
Business and Economic Development
4.84
article

Service employees’ appraisals toward artificial intelligence, robotics and automation in the workplace – results of exploratory and confirmatory factor analyses

article en
2 citations

Abstract

Purpose: In view of the rapid advancements in artificial intelligence, robotics, and automation (AIRA) within service industries, it is crucial to understand how these technologies are perceived by organizational members to ensure their effective implementation.Therefore, the purpose of this paper is to gain insights into employees' appraisals toward AIRA in the workplace in service settings.Design/methodology/approach: A quantitative approach was adopted, with data being collected via a self-administered online survey from 369 service employees in Poland.The sample was randomly split into two subsamples.The first subsample was used for exploratory factor analysis (EFA), while the second subsample was used for confirmatory factor analysis (CFA).Findings: The results of the EFA and CFA indicate that the AIRA appraisal scale is multidimensional and consists of three subscales: resource appraisal toward AIRA, challenge appraisal toward AIRA, and hindrance appraisal toward AIRA.AIRA in the workplace is perceived by service employees predominantly as a resource, then as a challenge, and lastly as a hindrance.Research limitations/implications: The data collection was based on the non-random sampling technique and the questionnaire was disseminated among employees of selected service industries in Poland, which limits the generalizability of the findings beyond the specific context of this research.Originality/value: Drawing upon the refined job demands-resources (JD-R) model, the study provides a comprehensive and nuanced perspective on employees' perceptions of AIRA integration into service delivery processes.The proposed perspective is better suited to explain employees' attitudinal and behavioral reactions to AIRA-driven changes in the work environment.

Scientific Papers of Silesian University of Technology Organization and Management SeriesVol. 2025(219)
Decent work and economic growth
Openalex Percentile: Top 6%
Business and Economic Development
4.84
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