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Paper Number
1811
Paper Type
Completed
Description
Striving for operational efficiency and cost-effectiveness, companies increasingly deploy artificial intelligence (AI). This trend also incrementally permeates service-related work in technical support. As current narrow AI cannot fully substitute service employees and greater effects are achieved with hybrid service delivery, adapted work settings are required. Based on a qualitative field study with a socio-technical approach, this research provides current problem scenarios in IT support and a support process redesign by integrating conversational and embedded AI. The study contributes evaluated insights about current work processes, work-related issues, and a hybrid IT support process that introduces substitution and augmentation of human tasks to improve service delivery.
Recommended Citation
Poser, Mathis and Bittner, Eva A. C., "(Re)Designing IT Support: How Embedded and Conversational AI Can Augment Technical Support Work" (2021). ICIS 2021 Proceedings. 13.
https://aisel.aisnet.org/icis2021/is_future_work/is_future_work/13
(Re)Designing IT Support: How Embedded and Conversational AI Can Augment Technical Support Work
Striving for operational efficiency and cost-effectiveness, companies increasingly deploy artificial intelligence (AI). This trend also incrementally permeates service-related work in technical support. As current narrow AI cannot fully substitute service employees and greater effects are achieved with hybrid service delivery, adapted work settings are required. Based on a qualitative field study with a socio-technical approach, this research provides current problem scenarios in IT support and a support process redesign by integrating conversational and embedded AI. The study contributes evaluated insights about current work processes, work-related issues, and a hybrid IT support process that introduces substitution and augmentation of human tasks to improve service delivery.
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