首页|Studies from Neoma Business School Reveal New Findings on Artificial Intelligenc e (Delegation of Purchasing Tasks To Ai: the Role of Perceived Choice and Decisi on Autonomy)

Studies from Neoma Business School Reveal New Findings on Artificial Intelligenc e (Delegation of Purchasing Tasks To Ai: the Role of Perceived Choice and Decisi on Autonomy)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Artificial Intell igence are discussed in a new report. According to news originating from Mont St . Aignan, France, by NewsRx correspondents, research stated, "Although artificia l intelligence (AI) outperforms humans in many tasks, research suggests some con sumers are still averse to having AI perform tasks on their behalf. Informed by the literature of customer decision-making process, we propose and show that con sumer autonomy is a significant predictor of customers' decision to adopt AI in the purchasing context." Financial support for this research came from AI, Data Science & B usiness Area of Excellence (Users' Experience of AI), NEOMA Business School. Our news journalists obtained a quote from the research from Neoma Business Scho ol, "Across three experiments, we found that the delegation of purchasing tasks to AI, which restricts choice and decision dimensions of consumers' perceived au tonomy, reduces the likelihood of AI adoption. Our results show that the effects of choice and decision autonomy on AI adoption holds even when product choice e valuation is complex. We also found that identity-relevant consumption moderates this relationship, such that it interacts with choice and decision autonomy. Sp ecifically, despite lacking choice and decision autonomy, those who identify str ongly with a given activity are more likely to use an AI-enabled app to purchase the product needed to perform this activity."

Mont St. AignanFranceEuropeArtific ial IntelligenceEmerging TechnologiesMachine LearningNeoma Business School

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.2)