<p>As China’s automotive industry accelerates the adoption of robotics, workers’ attitudes have become a pivotal factor shaping the outcomes of automation initiatives. Leveraging survey data from 1622 autoworkers in Guangzhou, a major automobile manufacturing hub in China, this study examines the relationship between robotics training and autoworkers’ support for robot adoption in the workplace, with a particular focus on the moderating roles of techno-insecurity and techno-uncertainty. Ordered logistic regression analysis reveals that robotics training is positively associated with workers’ support for robot adoption. However, this positive relationship is weaker among those experiencing high levels of techno-uncertainty. In contrast, workers with greater job insecurity demonstrated a stronger positive response to robotics training, a pattern that runs counter to common assumptions. These findings underscore the importance of firms investing in technical skill development while also recognizing and addressing the psychological challenges—such as robot-related insecurity and uncertainty—that may shape workers’ engagement with workplace automation.</p>

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Robotics training and workers’ attitudes toward robot adoption in China’s automotive industry: the moderating roles of techno-insecurity and techno-uncertainty

  • Yunxue Deng,
  • Xini Chen,
  • Xin Yong

摘要

As China’s automotive industry accelerates the adoption of robotics, workers’ attitudes have become a pivotal factor shaping the outcomes of automation initiatives. Leveraging survey data from 1622 autoworkers in Guangzhou, a major automobile manufacturing hub in China, this study examines the relationship between robotics training and autoworkers’ support for robot adoption in the workplace, with a particular focus on the moderating roles of techno-insecurity and techno-uncertainty. Ordered logistic regression analysis reveals that robotics training is positively associated with workers’ support for robot adoption. However, this positive relationship is weaker among those experiencing high levels of techno-uncertainty. In contrast, workers with greater job insecurity demonstrated a stronger positive response to robotics training, a pattern that runs counter to common assumptions. These findings underscore the importance of firms investing in technical skill development while also recognizing and addressing the psychological challenges—such as robot-related insecurity and uncertainty—that may shape workers’ engagement with workplace automation.