2021
DOI: 10.1007/s12525-021-00493-0
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AI invading the workplace: negative emotions towards the organizational use of personal virtual assistants

Abstract: Personal virtual assistants (PVAs) based on artificial intelligence are frequently used in private contexts but have yet to find their way into the workplace. Regardless of their potential value for organizations, the relentless implementation of PVAs at the workplace is likely to run into employee resistance. To understand what motivates such resistance, it is necessary to investigate the primary motivators of human behavior, namely emotions. This paper uncovers emotions related to organizational PVA use, pri… Show more

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Cited by 38 publications
(25 citation statements)
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References 77 publications
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“…As other forms of artificial intelligence, AR technology is not free of negative outcomes and customer evaluations (Hornung and Smolnik, 2021). Hence, the results of this study support the claims by Hilken et al (2017) and Heller et al (2021) that service managers need to build a conceptual understanding of how AR is appraised by customers and how it can add value.…”
Section: Practical Implicationssupporting
confidence: 73%
“…As other forms of artificial intelligence, AR technology is not free of negative outcomes and customer evaluations (Hornung and Smolnik, 2021). Hence, the results of this study support the claims by Hilken et al (2017) and Heller et al (2021) that service managers need to build a conceptual understanding of how AR is appraised by customers and how it can add value.…”
Section: Practical Implicationssupporting
confidence: 73%
“…Furthermore, although there is limited evidence on the impact of the introduction of robots in the workplace on proactive work behavior, existing research generally focuses on employees' negative perceptions and construes AI as a threat (Hornung & Smolnik, 2022; Mirbabaie et al, 2022). Studies point out that the introduction of AI significantly influences all facets of work, such as developing and exercising skills, social dynamics, and an employee's sense of purpose at work (Mckinsey, 2020).…”
Section: Discussion and Future Directionsmentioning
confidence: 99%
“…Therefore, it would be pivotal for future research to implement carefully designed JCIs with the intervention content having closer ties with the AI technology, that is, particular AI-induced job demands and resources, to empower employees to undertake novel skills and discover diverse fields of interest at work. Furthermore, although there is limited evidence on the impact of the introduction of robots in the workplace on proactive work behavior, existing research generally focuses on employees' negative perceptions and construes AI as a threat (Hornung & Smolnik, 2022;Mirbabaie et al, 2022). Studies point out that the introduction of AI significantly influences all facets of work, such as developing and exercising skills, social dynamics, and an employee's sense of purpose at work (Mckinsey, 2020).…”
Section: Artificial Intelligence In the Workplace And Jcismentioning
confidence: 99%
“…, 2018; von Eschenbach, 2021). Simultaneously, AI functionalities are being integrated as part of a growing range of information systems (Hornung and Smolnik, 2021; Rana et al. , 2021; Tarafdar et al.…”
Section: Introductionmentioning
confidence: 99%
“…This trend can be attributed to advances in machine learning (ML) model technology, that has advanced towards better predictive power, but as a consequence, the models have become inscrutable and more difficult to explain (Brennen, 2020;Do silovi c et al, 2018;von Eschenbach, 2021). Simultaneously, AI functionalities are being integrated as part of a growing range of information systems (Hornung and Smolnik, 2021;Rana et al, 2021;Tarafdar et al, 2019) and used to support critical decision-making. For example, ML approaches have been used to combat the COVID-19 pandemic through patient outcome prediction, risk assessment and predicting the disease spreading (Dogan et al, 2021), and are an integral component of recommendation systems that curate social media feeds and e-commerce (Batmaz et al, 2019).…”
Section: Introductionmentioning
confidence: 99%