消费者对社交媒体中人工智能态度的前因后果

Sinem Sargin
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引用次数: 0

摘要

本研究探讨了社交媒体时代消费者对人工智能态度的前因后果。通过实证研究,收集了土耳其 388 名消费者的数据。研究使用 SmartPLS 对提出的假设进行了检验。研究得出了几个关键结论:(i) 拟人化对消费者的性能预期有积极影响。(ii) 拟人化并不影响对人工智能的积极态度。(iii) 消费者的绩效预期对人工智能的积极态度和积极情绪有显著的积极影响。(iv) 积极情绪不影响对人工智能的积极态度。(v) 对人工智能的积极态度对消费者参与社交媒体有明显的积极影响。(vi) 社交媒体自我效能感对消费者参与社交媒体有积极影响。(vii) 消费者的社交媒体参与对购买行为有积极影响。本研究建立了一个全面的框架,为在人工智能不断发展的背景下,拟人化、性能预期、情感、态度、社交媒体自我效能感、社交媒体参与度和消费者购买决策之间错综复杂的关系提供了宝贵的见解。本研究通过一个综合模型研究了消费者对人工智能持积极态度的前因后果,为相关文献做出了贡献。此外,了解促使消费者对人工智能产生积极态度的驱动因素以及这些积极态度的后果对于营销经理和企业来说至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antecedents and Consequences of Consumers Attitudes Towards Artificial Intelligence in Social Media
This study investigates the antecedents and consequences of consumers' attitudes toward artificial intelligence in the social media era. Through an empirical study, data was collected from 388 consumers in Turkey. SmartPLS was used to test the proposed hypotheses. Several key findings were reached: (i) Anthropomorphism impacts consumers' performance expectations positively. (ii) Anthropomorphism does not influence positive attitudes towards artificial intelligence. (iii) Consumers' performance expectations have significantly positive effects on positive attitudes towards artificial intelligence and also on positive emotions. (iv) Positive emotions do not influence positive attitudes towards artificial intelligence. (v) Positive attitudes towards artificial intelligence significantly have positive effects on consumers’ engagement on social media. (vi) Social media self-efficacy has a positive effect on consumers’ engagement on social media. (vii) Consumers’ social media engagement impacts purchase behavior positively. Establishing a comprehensive framework, this study offers valuable insights into the intricate relationships among anthropomorphism, performance expectations, emotions, attitudes, social media self-efficacy, social media engagement, and consumer purchase decisions in the evolving landscape of artificial intelligence. The study contributes to the literature by examining the antecedents and consequences of consumers’ positive attitudes toward artificial intelligence with a comprehensive model. Besides, understanding the drivers that push consumers to generate positive attitudes toward artificial intelligence and the consequences of these positive attitudes is crucial for marketing managers and businesses.
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