Artificial Intelligence, Employee Engagement, Fairness, and Job Outcomes
Hughes, Claretha; Robert, Lionel + "Jr"; Frady, Kristin; Arroyos, Adam
2019-07-23
Other Titles
Chapter 5 Artificial Intelligence, Employee Engagement, Fairness, and Job Outcomes
Citation
Hughes, C., Robert, L., Frady, K., Arroyos, A., (2019), "Artificial Intelligence, Employee Engagement, Fairness, and Job Outcomes", Managing Technology and Middle- and Low-skilled Employees (The Changing Context of Managing People), Emerald Publishing Limited, pp. 61-68. https://doi.org/10.1108/978-1-78973- 077-720191005
Abstract
Chapter 5, “Artificial Intelligence, Employee Engagement, Fairness and Job Outcomes,” defines AI as the ability of a computer system to sense, reason, and respond to the environment. Computer systems with advanced AI can engage in sensing, reasoning, and responding in the most complex and dynamic environments. AI systems are being adapted rapidly by organizations to help manage their workforce. The reason for the popularity of AI is twofold. One, organizations now have access to huge amounts of data (i.e., big data) about their business operations which can be leveraged to make more efficient and effective management decisions. Two, advances in AI now afford organizations the ability to capture and process this data in real time. Organizations can now incorporate the latest information into their decision making even in the most complex and dynamic competitive markets. Despite this, management through AI also presents new challenges to employees who are now both directed and held accountable by AI.Publisher
Emerald Publishing Limited
ISSN
978-1-78973-078-4
Other DOIs
Subjects
Artificial Intelligence Artificial Intelligence Fairness Artificial Intelligence Controls Artificial Intelligence Management Artificial Intelligence Employee Engagement algorithm management AI Management Artificial Intelligence Employee Controls Artificial Intelligence Outcome Control Artificial Intelligence Trust Artificial Intelligence Perceived Risk Artificial Intelligence Procedural Fairness Artificial Intelligence Distributive Fairness Artificial Intelligence Interactional Fairness Artificial Intelligence Technology Characteristics Artificial Intelligence Perceived Ease of Use Artificial Intelligence Perceived Usefulness Artificial Intelligence and Job Satisfaction Artificial Intelligence and Job Meaningfulness Artificial Intelligence and Retention AI-driven systems Artificial Intelligence Employee Motivation Artificial Intelligence and Organizational Justice Artificial Intelligence and Goals algorithmic management algorithmic controls
Types
Book Chapter
Metadata
Show full item recordShowing items related by title, author, creator and subject.
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Robert, Lionel; Bansal, Gaurav; Lütge, Christoph (AIS Transactions on Human-Computer Interaction, 2020-06-30)
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Robert, Lionel + "Jr"; Pierce, Casey; Morris, Liz; Kim, Sangmi; Alahmad, Rasha (Human-Computer Interaction, 2020-02-20)
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Tarafdar, Monideepa; Teodorescu, Mike; Tanriverdi, Hüseyin; Robert, Lionel + "Jr"; Morse, Lily (ICIS 2020, 2020-09-27)
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