Purpose This paper aims to determine the entrepreneur's intention to accept artificial intelligence (AI) and provide advancement in the domain of digital entrepreneurship. Design/methodology/approach Extensive literature review and theories have been considered in the area of technology adoption/acceptance and digital entrepreneurship to identify the factors affecting the intention of entrepreneurs with respect to accept AI for digital entrepreneurship. Further, a model, artificial intelligence acceptance and digital entrepreneurship (AIADE) is theorized after formulating some hypotheses. The theorized model has been validated with 476 useable responses. Findings The findings revealed that performance expectancy, openness, social influence, hedonic motivations and generativity have a positive impact on entrepreneur's acceptance intention of AI. Additionally, affordance has no direct relationship with AI acceptance intention, but it affects AI acceptance intention through attitude. Inconvenience has a significant negative relationship with the intention to accept AI, while uncertainty was found to be positively affecting the AI acceptance intention. Effort expectancy did not confirm any significant relationship. Research limitations/implications By considering existing theoretical models and concepts the authors contribute to the AI's theoretical progress, specifically in the domain of entrepreneurship. The authors complement and extend existing technology adoption/acceptance theories and digital entrepreneurship theories by developing a theoretical model, AIADE, explaining the entrepreneur's intention to accept AI. Practical implications The practical implications of the study show that performance expectancy (positive), openness (positive), social influence (positive), hedonic motivations (positive), generativity (positive), affordance through attitude (positive), uncertainty (positive), effort expectancy (negative) and inconvenience (negative) are the antecedents for the entrepreneurs to accept AI for digital entrepreneurship. The authors suggest that intentional improvement planning is developed by increasing entrepreneur's positive perceptions of AI affordance and explanation of its generativity and openness, and improving their attitude of using AI for digital entrepreneurship. Originality/value This is the first study that reveals the critical antecedents of entrepreneur's intention to accept AI for digital entrepreneurship. Relevant theoretical background, discussion, implications, limitations and future research recommendations are discussed.

中文翻译：

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理论化人工智能接受和数字创业模型

目的本文旨在确定企业家接受人工智能 (AI) 的意图，并在数字创业领域提供进步。设计/方法/方法 在技术采用/接受和数字创业领域已经考虑了广泛的文献回顾和理论，以确定影响企业家接受人工智能进行数字创业的意图的因素。此外，在提出一些假设后，对模型、人工智能接受和数字创业（AIADE）进行了理论化。理论模型已通过 476 个可用响应进行了验证。调查结果 调查结果显示，绩效期望、开放性、社会影响力、享乐动机和生成性对创业者接受人工智能的意愿有正向影响。此外，可供性与 AI 接受意向没有直接关系，而是通过态度影响 AI 接受意向。不便与接受人工智能的意愿有显着的负相关关系，而不确定性对人工智能接受意愿有积极的影响。努力预期没有证实任何重要的关系。研究限制/影响通过考虑现有的理论模型和概念，作者为人工智能的理论进步做出了贡献，特别是在创业领域。作者通过开发理论模型 AIADE 来补充和扩展现有的技术采用/接受理论和数字创业理论，解释企业家接受人工智能的意图。实际意义 该研究的实际意义表明，绩效期望（积极）、开放性（积极）、社会影响（积极）、享乐动机（积极）、生成性（积极）、态度提供（积极）、不确定性（积极）、努力期望（负）和不便（负）是创业者接受人工智能进行数字创业的前提。作者建议通过增加企业家来制定有意识的改进计划 对 AI 可提供性的积极看法和对其可生成性和开放性的解释，并改善他们使用 AI 进行数字创业的态度。独创性/价值 这是第一项揭示企业家接受人工智能进行数字创业的关键前因的研究。讨论了相关的理论背景、讨论、启示、局限和未来的研究建议。