Tourism and Hospitality Prospects ›› 2026, Vol. 10 ›› Issue (1): 26-49.DOI: 10.12054/lydk.bisu.310
• Research Paper • Previous Articles Next Articles
GUAN Xinhua, ZHENG Yingchen, MA Xujing(
)
Received:2025-05-13
Revised:2025-10-31
Online:2026-02-28
Published:2026-03-20
通讯作者:
马许静(1998— ),女,河南平顶山人,广东财经大学文化旅游学院硕士研究生,研究方向为旅游服务营销和旅游企业管理,E-mail:3403146792@qq.com。作者简介:关新华(1985— ),女,山西离石人,博士,广东财经大学文化旅游学院教授,研究方向为旅游服务营销和旅游企业管理;基金资助:CLC Number:
GUAN Xinhua, ZHENG Yingchen, MA Xujing. Will Robots Make Me More Innovative? —Research on the Influence of Human-Robot Co-Production on Hotel Employees’ Innovation Performance[J]. Tourism and Hospitality Prospects, 2026, 10(1): 26-49.
关新华, 郑颖琛, 马许静. 机器人让我更具创新性吗?——人机合作生产对酒店员工创新绩效的影响研究[J]. 旅游导刊, 2026, 10(1): 26-49.
| 构念和测量题项 Construct and item | 因子载荷 Standard loading | t |
|---|---|---|
| 人机合作生产(SEC,Cronbach’s α=0.883,CR=0.886,AVE=0.811) | ||
| SEC1在服务过程中,我与机器人合作 | 0.893 | 36.110 |
| SEC2在服务过程中,我和机器人都作出了一定的贡献 | 0.925 | 61.648 |
| SEC3我和机器人都参与了服务的创造和传递过程 | 0.883 | 40.150 |
| 挑战性评估(RAC,Cronbach’s α=0.900,CR=0.900,AVE=0.771) | ||
| RAC1智能技术和机器人带来的变化会帮助我学到很多东西 | 0.882 | 49.232 |
| RAC2智能技术和机器人带来的变化使工作经历有教育意义 | 0.901 | 58.220 |
| RAC3智能技术和机器人带来的变化让我可以做一些新事情 | 0.908 | 74.934 |
| RAC4智能技术和机器人带来的变化让我专注于做好工作 | 0.819 | 35.482 |
| 发展型人力资源实践(DHRP,Cronbach’s α=0.940,CR=0.942,AVE=0.807) | ||
| DHRP1我的公司真的很关心我的职业发展机会 | 0.904 | 68.579 |
| DHRP2公司对员工的职业发展投入了大量的精力 | 0.921 | 88.781 |
| DHRP3就所做的工作而言,我所接受的培训开发是足够的 | 0.887 | 40.254 |
| DHRP4公司给予我的工作反馈和指导是非常有帮助的 | 0.897 | 52.516 |
| DHRP5公司致力于为良好的员工表现提供积极的反馈,而不是批评糟糕的工作表现 | 0.882 | 45.548 |
| 工作投入(WE,Cronbach’s α=0.942,CR=0.948,AVE=0.689) | ||
| WE1在工作中,我感到自己充满活力 | 0.840 | 42.794 |
| WE2在工作中,我觉得自己精力旺盛 | 0.848 | 49.842 |
| WE3早晨一起床,我就想去工作 | 0.767 | 30.204 |
| WE4我对工作充满了热情 | 0.894 | 66.981 |
| WE5我的工作鼓舞着我 | 0.924 | 112.679 |
| WE6我为自己所从事的工作感到自豪 | 0.868 | 52.011 |
| WE7当工作节奏紧张的时候,我会感到快乐 | 0.841 | 39.091 |
| WE8我沉浸于我的工作之中 | 0.793 | 23.108 |
| WE9我会在工作时达到忘我的境界 | 0.663 | 14.701 |
| 创新绩效(IP,Cronbach’s α=0.952,CR=0.953,AVE=0.725) | ||
| IP1我为改进工作提出具有创造性的新思路 | 0.839 | 35.915 |
| IP2我寻找一些新的工作方法、技术或工具 | 0.846 | 33.870 |
| IP3我为一些问题提出具有原创性的解决方案 | 0.848 | 34.694 |
| IP4我为创造性的构想提供支持 | 0.879 | 51.230 |
| IP5我让创造性的构想得到认可 | 0.870 | 54.613 |
| IP6我激发重要团队成员对创造性构想的热情 | 0.853 | 36.706 |
| IP7我将创新构想转变为有用的工作成果 | 0.871 | 43.422 |
| IP8我以系统化的方式引入创新方案 | 0.872 | 47.663 |
| IP9我会评估创新方案的实用性 | 0.779 | 24.768 |
Tab. 1 Analysis results of measurement model
| 构念和测量题项 Construct and item | 因子载荷 Standard loading | t |
|---|---|---|
| 人机合作生产(SEC,Cronbach’s α=0.883,CR=0.886,AVE=0.811) | ||
| SEC1在服务过程中,我与机器人合作 | 0.893 | 36.110 |
| SEC2在服务过程中,我和机器人都作出了一定的贡献 | 0.925 | 61.648 |
| SEC3我和机器人都参与了服务的创造和传递过程 | 0.883 | 40.150 |
| 挑战性评估(RAC,Cronbach’s α=0.900,CR=0.900,AVE=0.771) | ||
| RAC1智能技术和机器人带来的变化会帮助我学到很多东西 | 0.882 | 49.232 |
| RAC2智能技术和机器人带来的变化使工作经历有教育意义 | 0.901 | 58.220 |
| RAC3智能技术和机器人带来的变化让我可以做一些新事情 | 0.908 | 74.934 |
| RAC4智能技术和机器人带来的变化让我专注于做好工作 | 0.819 | 35.482 |
| 发展型人力资源实践(DHRP,Cronbach’s α=0.940,CR=0.942,AVE=0.807) | ||
| DHRP1我的公司真的很关心我的职业发展机会 | 0.904 | 68.579 |
| DHRP2公司对员工的职业发展投入了大量的精力 | 0.921 | 88.781 |
| DHRP3就所做的工作而言,我所接受的培训开发是足够的 | 0.887 | 40.254 |
| DHRP4公司给予我的工作反馈和指导是非常有帮助的 | 0.897 | 52.516 |
| DHRP5公司致力于为良好的员工表现提供积极的反馈,而不是批评糟糕的工作表现 | 0.882 | 45.548 |
| 工作投入(WE,Cronbach’s α=0.942,CR=0.948,AVE=0.689) | ||
| WE1在工作中,我感到自己充满活力 | 0.840 | 42.794 |
| WE2在工作中,我觉得自己精力旺盛 | 0.848 | 49.842 |
| WE3早晨一起床,我就想去工作 | 0.767 | 30.204 |
| WE4我对工作充满了热情 | 0.894 | 66.981 |
| WE5我的工作鼓舞着我 | 0.924 | 112.679 |
| WE6我为自己所从事的工作感到自豪 | 0.868 | 52.011 |
| WE7当工作节奏紧张的时候,我会感到快乐 | 0.841 | 39.091 |
| WE8我沉浸于我的工作之中 | 0.793 | 23.108 |
| WE9我会在工作时达到忘我的境界 | 0.663 | 14.701 |
| 创新绩效(IP,Cronbach’s α=0.952,CR=0.953,AVE=0.725) | ||
| IP1我为改进工作提出具有创造性的新思路 | 0.839 | 35.915 |
| IP2我寻找一些新的工作方法、技术或工具 | 0.846 | 33.870 |
| IP3我为一些问题提出具有原创性的解决方案 | 0.848 | 34.694 |
| IP4我为创造性的构想提供支持 | 0.879 | 51.230 |
| IP5我让创造性的构想得到认可 | 0.870 | 54.613 |
| IP6我激发重要团队成员对创造性构想的热情 | 0.853 | 36.706 |
| IP7我将创新构想转变为有用的工作成果 | 0.871 | 43.422 |
| IP8我以系统化的方式引入创新方案 | 0.872 | 47.663 |
| IP9我会评估创新方案的实用性 | 0.779 | 24.768 |
| 构念 Construct | 均值 Mean | 标准差 S. D. | SEC | RAC | DHRP | WE | IP |
|---|---|---|---|---|---|---|---|
| SEC | 5.258 | 1.032 | {0.900} | 0.402 | 0.425 | 0.251 | 0.387 |
| RAC | 5.164 | 1.021 | 0.361** | {0.878} | 0.535 | 0.469 | 0.502 |
| DHRP | 4.961 | 1.237 | 0.388** | 0.493** | {0.898} | 0.488 | 0.575 |
| WE | 4.628 | 1.196 | 0.230** | 0.434** | 0.464** | {0.830} | 0.550 |
| IP | 5.154 | 1.062 | 0.356** | 0.465** | 0.546** | 0.524** | {0.851} |
Tab. 2 Mean, standard deviation, correlation analysis and discriminant validity
| 构念 Construct | 均值 Mean | 标准差 S. D. | SEC | RAC | DHRP | WE | IP |
|---|---|---|---|---|---|---|---|
| SEC | 5.258 | 1.032 | {0.900} | 0.402 | 0.425 | 0.251 | 0.387 |
| RAC | 5.164 | 1.021 | 0.361** | {0.878} | 0.535 | 0.469 | 0.502 |
| DHRP | 4.961 | 1.237 | 0.388** | 0.493** | {0.898} | 0.488 | 0.575 |
| WE | 4.628 | 1.196 | 0.230** | 0.434** | 0.464** | {0.830} | 0.550 |
| IP | 5.154 | 1.062 | 0.356** | 0.465** | 0.546** | 0.524** | {0.851} |
| 类型 Type | 路径 Path | 效应值 Effect | 标准误 S.E. | 95%CI | |
|---|---|---|---|---|---|
| (Boot) LLCI | (Boot) ULCI | ||||
| 链式中介检验 The chain mediating effect test | 总效应:SEC→IP | 0.396 | 0.050 | 0.297 | 0.494 |
| 直接效应:SEC→IP | 0.229 | 0.048 | 0.135 | 0.332 | |
| 总间接效应:SEC→IP | 0.167 | 0.037 | 0.107 | 0.252 | |
| 间接效应1:SEC→RAC→IP | 0.071 | 0.028 | 0.023 | 0.133 | |
| 间接效应2:SEC→WE→IP | 0.052 | 0.027 | 0.007 | 0.113 | |
| 间接效应3:SEC→RAC→ WE→IP | 0.045 | 0.013 | 0.024 | 0.074 | |
| 被调节的中介模型检验 The moderated mediation effect test | 路径1:SEC→RAC→IP | 0.024 | 0.010 | 0.005 | 0.044 |
| 路径2:SEC→WE→IP | 0.029 | 0.014 | 0.004 | 0.061 | |
| 路径3:SEC→RAC→WE→IP | 0.008 | 0.005 | 0.001 | 0.019 | |
Tab. 3 The chain mediating effects and the moderated mediation effect test
| 类型 Type | 路径 Path | 效应值 Effect | 标准误 S.E. | 95%CI | |
|---|---|---|---|---|---|
| (Boot) LLCI | (Boot) ULCI | ||||
| 链式中介检验 The chain mediating effect test | 总效应:SEC→IP | 0.396 | 0.050 | 0.297 | 0.494 |
| 直接效应:SEC→IP | 0.229 | 0.048 | 0.135 | 0.332 | |
| 总间接效应:SEC→IP | 0.167 | 0.037 | 0.107 | 0.252 | |
| 间接效应1:SEC→RAC→IP | 0.071 | 0.028 | 0.023 | 0.133 | |
| 间接效应2:SEC→WE→IP | 0.052 | 0.027 | 0.007 | 0.113 | |
| 间接效应3:SEC→RAC→ WE→IP | 0.045 | 0.013 | 0.024 | 0.074 | |
| 被调节的中介模型检验 The moderated mediation effect test | 路径1:SEC→RAC→IP | 0.024 | 0.010 | 0.005 | 0.044 |
| 路径2:SEC→WE→IP | 0.029 | 0.014 | 0.004 | 0.061 | |
| 路径3:SEC→RAC→WE→IP | 0.008 | 0.005 | 0.001 | 0.019 | |
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