韩国公司的生成人工智能系统采用和使用行为的决定因素:应用UTAUT模型
Youngsoo Kim1, Victor Blazquez2,3, Taeyeon Oh4
1Seoul Business School, aSSIST University, Seoul 03767, Republic of Korea.
Behavioral sciences (Basel, Switzerland)
|November 27, 2024
概括
努力的期望和社会影响是韩国企业创造性AI采用的关键驱动力. 对于年长的员工来说,社会支持至关重要,而年轻的员工则更能从便利条件中获益.
科学领域:
- 人工智能采用 人工智能采用 人工智能采用 人工智能采用 人工智能采用
- 技术接受模型 技术接受模型
- 组织行为 组织行为
背景情况:
- 生成型人工智能正在迅速改变行业,但对其采用的经验研究是有限的.
- 了解技术接受对于成功的数字化转型和创新至关重要.
- 现有的研究往往忽视了商业环境中生成人工智能的具体背景.
研究的目的:
- 调查影响韩国公司采用和使用生成性AI系统的因素.
- 将技术接受和使用统一理论 (UTAUT) 模型应用于生成性AI的背景下.
- 为生成性AI识别行为意图和使用行为的关键决定因素.
主要方法:
- 在韩国大小企业中对300名员工进行调查.
- 应用技术接受和使用统一理论 (UTAUT) 模型.
- 统计分析以确定各种因素对人工智能采用的重要性.
主要成果:
- 努力期望和社会影响显著影响使用生成AI的行为意图.
- 努力的期望在早期采用阶段至关重要;社会影响 (监督者/同行支持) 强烈推动了采用.
- 绩效预期和促进条件没有显著影响;年龄和经验对采用有不同的影响.
结论:
- 努力期望和社会影响是韩国公司生成性AI采用的主要决定因素.
- 考虑到员工人口统计学 (年龄,经验) 的定制策略对于有效的AI实施至关重要.
- 调查结果为旨在成功整合人工智能技术的组织提供战略见解.
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