消费者对算法的认知和对供应商的信任是否会影响人工智能应用的结构保证?

IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Telematics and Informatics Pub Date : 2024-10-01 DOI:10.1016/j.tele.2024.102188
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引用次数: 0

摘要

本研究旨在了解对算法的感知和对服务提供商的信任信念如何促进消费者在使用商业人工智能应用时感知到的结构保证。本研究采用偏最小二乘法-结构方程建模和模糊集定性比较分析(PLS-SEM-fsQCA)相结合的方法,通过297个有效回答来了解所研究因素对感知结构保证的线性和综合影响。PLS-SEM 分析结果显示,算法感知(即公平性、责任性和透明度)和信任信念(即仁慈、能力和诚信)与感知结构保证呈正相关。fsQCA 的研究结果表明,有四种因果条件配置方案可以解释感知结构保证,每种方案都反映了特定类型的消费者,他们在评估商业人工智能的结构保证时有独特的考虑因素。本研究从线性和复杂性角度介绍了消费者在评估商业人工智能应用的结构保证时对算法的感知和信任信念,为消费者行为研究增添了新的内容。
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Do consumers’ perceptions of algorithms and trusting beliefs in providers affect perceived structural assurances of AI-powered applications?
This study aims to understand how perceptions of algorithms and trusting beliefs in service providers facilitate consumers’ perceived structural assurance of using commercial AI applications. The present study adopts a combined approach of partial least squares-structural equation modeling and fuzzy-set qualitative comparative analysis (PLS-SEM-fsQCA) to understand the linear and combined effects of the studied factors on perceived structural assurance with 297 effective responses. The PLS-SEM findings revealed that algorithmic perceptions (i.e., Fairness, Accountability, and Transparency) and trusting beliefs (i.e., Benevolence, Competence, and Integrity) were positively associated with Perceived Structural Assurance. The fsQCA findings indicate four configural solutions of causal conditions that explain Perceived Structural Assurance, and each solution reflects a particular type of consumers who have unique considerations when assessing commercial AI’s structural assurance. This study adds to consumer behavior studies by introducing consumers’ perceptions of algorithms and trusting beliefs in evaluating their structural assurances in commercial AI applications from linear and complexity perspectives.
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来源期刊
Telematics and Informatics
Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
17.00
自引率
4.70%
发文量
104
审稿时长
24 days
期刊介绍: Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.
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