Behavioral analysis of ChatGPT users based on the ABC model: Focusing on a socio-technical approach
European Management Journal, ISSN: 0263-2373
2025
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
Chat Generative Pre-trained Transformer, generally known as ChatGPT, has attracted the interest of students, engineers, authors, and social media users alike. ChatGPT is a versatile tool that facilitates various tasks related to natural language processing and finds applicability in computer technology analysis, socio-economic impact assessment, and trend analysis across diverse industries, as well as the formulation of marketing strategies for business management. However, empirical studies exploring consumer perspectives on ChatGPT remain scarce. This study analyzes the effects of satisfaction and emotional attachment of ChatGPT users on stickiness based on a socio-technical approach. Using structural equation modeling to analyze 349 Korean ChatGPT users, it reveals that technical attributes exert a positive influence on user satisfaction, while social attributes influence emotional attachment positively. In addition, both user satisfaction and emotional attachment were found to contribute positively to user stickiness. User satisfaction and emotional attachment indeed served as crucial mediating factors between cognitive response and user stickiness.
Bibliographic Details
Elsevier BV
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