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劳动力适应能力和社会影响在可持续运输中的机器人过程自动化

R K Tailor¹, Ashish Goyal²

¹Department of Business Administration, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.

Scientific reports

|November 12, 2025

概括

机器人过程自动化 (RPA) 在运输中的采用随着工人信任和感知的安全性而增加. 实施RPA提高了运营安全和合规性,使行业受益.

科学领域:

技术接受模型技术接受模型
运输系统工程运输系统工程
自动化和控制自动化和控制

背景情况:

运输行业在采用机器人过程自动化 (RPA) 等新技术方面面临着挑战.
现有的技术验收框架往往忽视了诸如合规性和安全性等关键因素.
了解用户的看法对于在安全关键领域成功实施技术至关重要.

研究的目的:

通过扩展技术接受框架,调查机器人过程自动化 (RPA) 在运输行业的采用情况.
评估信任,感知风险,合规性和安全性对RPA采用的影响.
评估统计模型在预测行为意图,实际使用和安全结果方面的有效性.

主要方法:

在运输行业的190名专业人士中进行了一项调查.
使用了一个扩展的技术接受模型,包括合规性和安全性.
使用统计建模来分析变量之间的关系.

主要成果:

员工对系统的信任与RPA使用有积极的相关性.
认为技术是危险的,会对采用率产生负面影响.
机器人过程自动化 (RPA) 与运输操作中的合规性和安全性增加有着强烈的正相关性.
统计模型有效预测了行为意图,实际使用和安全结果.

结论:

工人信任和感知到的安全是机器人过程自动化 (RPA) 在运输领域采用的关键驱动因素.
实施RPA可以显著提高运营安全和交通运输部门的合规性.
解决人类和组织因素,如建立信任和管理风险感知,对于成功部署RPA至关重要.

关键词:

数字化转型数字化转型机器人过程自动化 (RPA)社会动态社会动态技术接受模型 (TAM)交通运输领域的创新和创新劳动力适应能力劳动力适应能力

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