Role of Process Automation in Quality Management of Enterprises in Perfumery and Cosmetic Industry

Razmochaeva, Natalya V.; Semenov, Viktor P.; Bezrukov, Artem A.

doi:10.1109/eiconrus.2019.8657085

Cited by 7 publications

(2 citation statements)

References 3 publications

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Section: Theoretical Framework and Hypothesis Developmentmentioning

confidence: 99%

“…This tool is increasingly used in business for multiple purposes such as customer segmentation and the customization of the product and service offer, communication and customer service from company employees. It is also employed to anticipate reasons and situations leading to customer defection and to perform complex tasks previously performed by the human mind only, such as CV assessment and personnel selection (Razmochaeva et al, 2019) or credit risk assessment (Sachan et al, 2020). The role of AI system in the latter task begins with the extraction of information from credit applications and other documents supplied by the customer through computer vision, and ends with a detailed report of their credit risk so that a human being or another AI can make a final decision regarding credit granting.…”

Section: Moderating Effect Of Technological Turbulence Caused By Arti...mentioning

confidence: 99%

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Knowledge management strategies and organizational improvisation: what changed after the emergence of technological turbulence caused by artificial intelligence?

Pérez

Cepeda-Cardona

2022

BJM

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PurposeThis paper aims to analyze the moderating effect of technological turbulence caused by artificial intelligence on the relationship between the traditional knowledge management strategies of personalization (tacit knowledge) and codification (explicit knowledge), and organizational improvisation, which refers to the firm's ability to generate ideas and respond to changes in the technological environment in real time. Until now, individuals have played a key and indispensable role in organizational improvisation since they are the owners of tacit knowledge and users of explicit knowledge.Design/methodology/approachThe research model was tested in a sample of firms from sectors in which the adoption of intelligent robots is growing.FindingsBoth personalization and codification have a positive and significant influence on improvisation, the former to a greater extent. Nevertheless, when technological turbulence caused by artificial intelligence occurs, the relationship between personalization and improvisation is weakened, whereas the link between codification and improvisation is strengthened.Originality/valueContrary to the pre-digital literature consensus, explicit knowledge is becoming the new major driver of organizational improvisation, while tacit knowledge sharing is losing strength and relevance. This finding may be a first indication that intelligent robots are the new exponents of improvisation for their ability to respond to changes in the environment in real time because of a combination of explicit knowledge, beyond being a mere support tool for humans.

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Section: Theoretical Framework and Hypothesis Developmentmentioning

confidence: 99%

Section: Moderating Effect Of Technological Turbulence Caused By Arti...mentioning

confidence: 99%