Factors Influencing the Behavioural Intention to Use AI-Generated Images in Business

IF 3.6 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
C. Maican, S. Sumedrea, A. Tecău, Eliza Nichifor, I. Chițu, R. Lixăndroiu, G. Brătucu
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引用次数: 0

Abstract

Motivated by the need to better understand the ongoing role of artificial intelligence in businesses and to shift the focus from a purely technological and algorithmic perspective to one that encompasses human-computer interaction, this article aims to investigate people's intention to use AI for generating images in a business context. The present study employed structural equation modelling to analyse how factors from UTAUT2 such as perceived customer value, effort expectancy, social influence, and facilitating conditions affect behavioural intention. The research introduces new moderators (creativity and English language proficiency), in the context of generative AI. Language proficiency and gender impact AI usage, while the impact of effort expectancy is more pronounced in cases of low creativity.
影响商业中使用人工智能生成图像的行为意向的因素
为了更好地理解人工智能在商业中的持续作用,并将重点从纯粹的技术和算法角度转移到包含人机交互的角度,本文旨在调查人们在商业环境中使用人工智能生成图像的意图。本研究采用结构方程模型来分析UTAUT2中的因素,如感知顾客价值、努力预期、社会影响和便利条件如何影响行为意愿。该研究在生成式人工智能的背景下引入了新的调节因子(创造力和英语语言能力)。语言能力和性别影响人工智能的使用,而努力预期的影响在创造力低的情况下更为明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Organizational and End User Computing
Journal of Organizational and End User Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.00
自引率
9.20%
发文量
77
期刊介绍: The Journal of Organizational and End User Computing (JOEUC) provides a forum to information technology educators, researchers, and practitioners to advance the practice and understanding of organizational and end user computing. The journal features a major emphasis on how to increase organizational and end user productivity and performance, and how to achieve organizational strategic and competitive advantage. JOEUC publishes full-length research manuscripts, insightful research and practice notes, and case studies from all areas of organizational and end user computing that are selected after a rigorous blind review by experts in the field.
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