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Transforming boundaries: how does ChatGPT change knowledge work?

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Název: Transforming boundaries: how does ChatGPT change knowledge work?
Autoři: Ritala Paavo, Ramaul Laavanya, Ruokonen Mika
Zdroj: Journal of Business Strategy. 45:214-220
Informace o vydavateli: Emerald, 2023.
Rok vydání: 2023
Témata: 0502 economics and business, 05 social sciences
Popis: Purpose This paper aims to demonstrate how the new generative artificial intelligence (AI) tool ChatGPT changes knowledge work for individuals and what are the implications of this change for companies. Design/methodology/approach Based on 22 interviews from informants across different industries, the authors conducted an inductive analysis on the use and utility of ChatGPT in knowledge work. Based on this initial analysis, they discovered different ways in which ChatGPT either augments human agency, makes it redundant or lacks capability in that regard. Findings The authors develop a 2 × 2 framework of algorithmic assistance, which demonstrates four ways in which ChatGPT (and generative AI in general) interacts with knowledge workers, depending on the usefulness of ChatGPT in particular tasks and the type of the task (routine vs creative). Practical implications Based on the insights from the interviews, the authors propose a set of actionable questions for individual knowledge workers and companies from four viewpoints: skills and capabilities; team structure and workflow coordination; culture and mindset; and business model innovation. Originality/value To the best of the authors’ knowledge, this study is among the first to identify and analyze the use of ChatGPT by knowledge workers across different industries.
Druh dokumentu: Article
Jazyk: English
ISSN: 0275-6668
DOI: 10.1108/jbs-05-2023-0094
Rights: Emerald Insight Site Policies
Přístupové číslo: edsair.doi.dedup.....543288321c2d1d3e7b40191ce4283d1c
Databáze: OpenAIRE
Popis
Abstrakt:Purpose This paper aims to demonstrate how the new generative artificial intelligence (AI) tool ChatGPT changes knowledge work for individuals and what are the implications of this change for companies. Design/methodology/approach Based on 22 interviews from informants across different industries, the authors conducted an inductive analysis on the use and utility of ChatGPT in knowledge work. Based on this initial analysis, they discovered different ways in which ChatGPT either augments human agency, makes it redundant or lacks capability in that regard. Findings The authors develop a 2 × 2 framework of algorithmic assistance, which demonstrates four ways in which ChatGPT (and generative AI in general) interacts with knowledge workers, depending on the usefulness of ChatGPT in particular tasks and the type of the task (routine vs creative). Practical implications Based on the insights from the interviews, the authors propose a set of actionable questions for individual knowledge workers and companies from four viewpoints: skills and capabilities; team structure and workflow coordination; culture and mindset; and business model innovation. Originality/value To the best of the authors’ knowledge, this study is among the first to identify and analyze the use of ChatGPT by knowledge workers across different industries.
ISSN:02756668
DOI:10.1108/jbs-05-2023-0094