Paper ID
1953
Paper Type
full
Description
Knowledge work organizations are increasingly leveraging automation to enhance and transform their business processes. Many types of automation tools are being deployed in a large variety of information processing tasks, requiring effective management of human–automation co-operation. Yet, conceptual understanding of human–automation hybrid work remains thin and current literature lacks practical recommendations for managers. To address this gap, we synthesize findings from our three earlier case studies with organizations pursuing a wide array of automation tools and examine them through the lens of distributed cognition. We demonstrate how distributed cognition informs about the organizing for human–automation interaction when deploying automation. Our contribution lies in the presentation of six recommendations on three issues: human–automation task allocation, mitigation of the risk of deskilling, and management of collective knowledge across human and automation.
Recommended Citation
Asatiani, Aleksandre; Penttinen, Esko; Rinta-Kahila, Tapani; and Salovaara, Antti, "Organizational Implementation of Intelligent Automation as Distributed Cognition: Six Recommendations for Managers" (2019). ICIS 2019 Proceedings. 7.
https://aisel.aisnet.org/icis2019/practice_is_research/practice_is_research/7
Organizational Implementation of Intelligent Automation as Distributed Cognition: Six Recommendations for Managers
Knowledge work organizations are increasingly leveraging automation to enhance and transform their business processes. Many types of automation tools are being deployed in a large variety of information processing tasks, requiring effective management of human–automation co-operation. Yet, conceptual understanding of human–automation hybrid work remains thin and current literature lacks practical recommendations for managers. To address this gap, we synthesize findings from our three earlier case studies with organizations pursuing a wide array of automation tools and examine them through the lens of distributed cognition. We demonstrate how distributed cognition informs about the organizing for human–automation interaction when deploying automation. Our contribution lies in the presentation of six recommendations on three issues: human–automation task allocation, mitigation of the risk of deskilling, and management of collective knowledge across human and automation.