Generative artificial intelligence (GenAI) revolution: A deep dive into GenAI adoption
研究了B2B经理采纳生成式AI的促进与阻碍因素，发现独特性需求、信息完整性和便利性促进采纳，而欺骗性和信息过载抑制采纳，且采纳提升企业绩效，伦理领导力起调节作用。
• We examine the reasons for/against B2B managers’ intent to adopt generative AI (GenAI). • Need for uniqueness, information completeness, and convenience boost adoption intention. • Conversely, deceptiveness and information overload reduce adoption intention. • Managers’ intent to adopt GenAI is found to boost firm performance. • Ethical leadership acts as a moderator between intent to adopt GenAI and firm performance. This study examines key reasons (for and against) that influence business-to-business (B2B) managers’ intention to adopt generative artificial intelligence (GenAI). We also investigate how GenAI adoption influences firm performance, along with the moderating effect of ethical leadership. Study 1 undertakes a series of in-depth interviews, yielding a set of hypotheses that are tested in Study 2. A total of 277 responses was collected from respondents in the USA, the UK, Canada, India, Australia, Malaysia, and Japan to test the proposed model using structural equation modeling. The findings highlight that need for uniqueness, information completeness, convenience, and deceptiveness significantly impact GenAI adoption. The results also highlight that GenAI adoption boosts firm performance. Finally, ethical leadership was found to moderate the effect of GenAI adoption on firm performance. This study enriches the GenAI, technology adoption, and behavioral reasoning theory literatures while also providing pertinent insights for firms intending to adopt GenAI.