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Journal ArticleDOI

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

- 17 Jan 2022 - 
- Vol. 17, Iss: 2, pp 250-265
TLDR
In this paper , the authors 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.
Abstract
Purpose This 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/approach The research model was tested in a sample of firms from sectors in which the adoption of intelligent robots is growing. Findings Both 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/value Contrary 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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Citations
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Journal ArticleDOI

Artificial Intelligence and Knowledge Management: Impacts, Benefits, and Implementation

Hamed Taherdoost, +1 more
- 31 Mar 2023 - 
TL;DR: In this paper , a critical review examines the current approaches in light of the literature that is currently accessible on AI and knowledge management, focusing on articles that address practical applications and the research background.
Journal ArticleDOI

The Impact of Empowering Leadership on Employee Improvisation: Roles of Challenge-Hindrance Stress and Psychological Availability

TL;DR: Zhang et al. as discussed by the authors explored the effect of empowering leadership on employee improvisation, including the mediating roles of challenge stress and hindrance stress as well as the moderating role of psychological availability.
Journal ArticleDOI

Factors influencing digital technology skills in the developing country

TL;DR: In this article , a linear regression analysis was performed to investigate the elements that influence Thai citizens' digital technology proficiency, such as age, education level, the average cost of digital devices in use, the primary reason for deciding to purchase a digital device, Internet package influencing digital device usage and access, speed, and availability of Internet network connectivity, and the speed and stability of the Internet network being proportional to the cost of the internet were found to influence the digital technology skills of Thai citizens.
References
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Journal ArticleDOI

Service robots, customers and service employees: what can we learn from the academic literature and where are the gaps?

TL;DR: A systematic review of the business literature about the impact of service robots on customers and employees with the objective of guiding future research is presented in this paper. But, the review focused on the business and service literature.
Book ChapterDOI

Strategic knowledge management, innovation and performance

TL;DR: In this article, the results show that both codification and personalization strategies have a positive influence on financial results, and the final decision may help managers in designing KM strategic schedules in order to obtain higher innovation, effectiveness, and efficiency and profit capacity.
Journal ArticleDOI

Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential

TL;DR: A new framework by which to map the components of an AI solution and to identify and manage the value-destruction potential of AI and ML for businesses is proposed.
Journal ArticleDOI

Applying artificial intelligence technique to predict knowledge hiding behavior

TL;DR: It is revealed that distributive, procedural, and interactional (in)justice contribute to higher levels of knowledge hiding behavior among employees and that this impact is non-linear (asymmetric).
Journal ArticleDOI

Closing the Technology Gap

TL;DR: In this article, the authors present a model where the knowledge stock of a country grows over time as a function of three main factors: its innovation intensity, its technological infrastructures and its human capital.
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