Data for: A new model for assessing industrial worker behavior regarding energy saving considering the theory of planned behavior, norm activation model and human reliability

A questionnaire was applied to collect data in a chemical industry. The respondents included a population of managers, operational and administrative support workers. The following research questions arise: • How do you predict the energy saving behavior in an industrial installation, considering not only the intention to act? • Which latent variables could predict behavior toward energy saving using structural equation modeling better? • Which external factors such as stress, ergonomics, and complexity could influence energy saving behavior?本研究通过发放问卷的方式在化工行业采集数据，受访对象涵盖管理人员、一线作业人员与行政支持人员。据此提出如下研究问题： • 如何在不局限于行动意向的前提下，预测工业设施中的节能行为？ • 借助结构方程模型（Structural Equation Modeling），哪些潜变量能够更精准地预测节能行为？ • 压力、人机工程学（Ergonomics）与任务复杂度等外部因素，会对节能行为产生何种影响？