Tourism and Hospitality Prospects ›› 2017, Vol. 1 ›› Issue (6): 48-65.DOI: 10.12054/lydk.bisu.49
• Orginal Article • Previous Articles Next Articles
Shanshan CHENG
Received:
2017-04-22
Online:
2017-11-15
Published:
2017-11-15
作者简介:
程珊珊(1993— ),女,山东滨州人,湖南师范大学旅游学院硕士研究生,研究方向:旅游企业管理等。
基金资助:
CLC Number:
Shanshan CHENG. Leadership Social Responsibility Orientation,Corporate Culture and Front Line Employee Service Performance:A Study of Travel Agency[J]. Tourism and Hospitality Prospects, 2017, 1(6): 48-65.
程珊珊. 领导社会责任取向、企业文化与一线员工服务绩效的关系研究——以旅行社为例[J]. 旅游导刊, 2017, 1(6): 48-65.
项目 | 类别 | 次数 | 百分比(%) | 累积百分比(%) |
---|---|---|---|---|
性别 | 男 | 85 | 41.9 | 41.9 |
女 | 118 | 58.1 | 100.0 | |
年龄 | 18~29岁 | 157 | 77.3 | 77.3 |
30~39岁 | 30 | 14.8 | 92.1 | |
40~49岁 | 16 | 7.9 | 100.0 | |
学历程度 | 本科 | 52 | 25.6 | 25.6 |
大专 | 86 | 42.4 | 68.0 | |
高中(或中专及以下) | 65 | 32.0 | 100.0 | |
工作年限 | 1年及以下 | 99 | 48.8 | 48.8 |
1~3年 | 27 | 13.3 | 62.1 | |
3~5年 | 22 | 10.8 | 72.9 | |
5年以上 | 55 | 27.1 | 100.0 | |
项目 | 类别 | 次数 | 百分比(%) | 累积百分比(%) |
所在岗位 | 导游 | 83 | 40.9 | 40.9 |
计调 | 25 | 12.3 | 53.2 | |
接待 | 81 | 39.9 | 93.1 | |
其他 | 14 | 6.9 | 100.0 |
Tab.1 Demographic characteristics table
项目 | 类别 | 次数 | 百分比(%) | 累积百分比(%) |
---|---|---|---|---|
性别 | 男 | 85 | 41.9 | 41.9 |
女 | 118 | 58.1 | 100.0 | |
年龄 | 18~29岁 | 157 | 77.3 | 77.3 |
30~39岁 | 30 | 14.8 | 92.1 | |
40~49岁 | 16 | 7.9 | 100.0 | |
学历程度 | 本科 | 52 | 25.6 | 25.6 |
大专 | 86 | 42.4 | 68.0 | |
高中(或中专及以下) | 65 | 32.0 | 100.0 | |
工作年限 | 1年及以下 | 99 | 48.8 | 48.8 |
1~3年 | 27 | 13.3 | 62.1 | |
3~5年 | 22 | 10.8 | 72.9 | |
5年以上 | 55 | 27.1 | 100.0 | |
项目 | 类别 | 次数 | 百分比(%) | 累积百分比(%) |
所在岗位 | 导游 | 83 | 40.9 | 40.9 |
计调 | 25 | 12.3 | 53.2 | |
接待 | 81 | 39.9 | 93.1 | |
其他 | 14 | 6.9 | 100.0 |
维度 | 潜在变量 | 信度、效度分析 | 验证性因子分析 | |||||
---|---|---|---|---|---|---|---|---|
Cronhach’s α | KMO | KMO因子载荷 | T值 | AVE | CR | |||
领导社会 责任取向 | 经济责任取向 | 0.831 | 0.974 | 0.852 | 0.953*** | — | 0.812 | 0.893 |
法律责任取向 | 0.904 | 1.026*** | 18.341 | |||||
道德责任取向 | 0.941 | 0.979*** | 10.112 | |||||
慈善责任取向 | 0.957 | 0.921*** | 11.213 | |||||
企业文化 | 官僚型 | 0.896 | 0.945 | 0.818 | 0.983*** | — | 0.783 | 0.728 |
支持型 | 0.843 | 0.986*** | 9.216 | |||||
创新型 | 0.883 | 1.006*** | 10.528 | |||||
服务绩效 | 任务绩效 | 0.873 | 0.931 | 0.850 | 0.911*** | — | 0.669 | 0.635 |
情景绩效 | 0.891 | 0.904*** | 13.736 |
Tab.2 Reliability,validity and confirmatory factor analysis
维度 | 潜在变量 | 信度、效度分析 | 验证性因子分析 | |||||
---|---|---|---|---|---|---|---|---|
Cronhach’s α | KMO | KMO因子载荷 | T值 | AVE | CR | |||
领导社会 责任取向 | 经济责任取向 | 0.831 | 0.974 | 0.852 | 0.953*** | — | 0.812 | 0.893 |
法律责任取向 | 0.904 | 1.026*** | 18.341 | |||||
道德责任取向 | 0.941 | 0.979*** | 10.112 | |||||
慈善责任取向 | 0.957 | 0.921*** | 11.213 | |||||
企业文化 | 官僚型 | 0.896 | 0.945 | 0.818 | 0.983*** | — | 0.783 | 0.728 |
支持型 | 0.843 | 0.986*** | 9.216 | |||||
创新型 | 0.883 | 1.006*** | 10.528 | |||||
服务绩效 | 任务绩效 | 0.873 | 0.931 | 0.850 | 0.911*** | — | 0.669 | 0.635 |
情景绩效 | 0.891 | 0.904*** | 13.736 |
潜在变量 | 经济责任取向 | 法律责任取向 | 道德责任取向 | 慈善责任取向 | 官僚型 | 支持型 | 创新型 | 任务 绩效 | 情景 绩效 |
---|---|---|---|---|---|---|---|---|---|
经济责任取向 | 0.678 | ||||||||
法律责任取向 | 0.500 | 0.609 | |||||||
道德责任取向 | 0.474 | 0.563 | 0.885 | ||||||
慈善责任取向 | 0.587 | 0.598 | 0.661 | 0.989 | |||||
官僚型 | 0.347 | 0.412 | 0.390 | 0.576 | 0.722 | ||||
支持型 | 0.468 | 0.557 | 0.527 | 0.484 | 0.483 | 0.781 | |||
创新型 | 0.413 | 0.491 | 0.465 | 0.654 | 0.652 | 0.672 | 0.861 | ||
任务绩效 | 0.279 | 0.332 | 0.314 | 0.389 | 0.416 | 0.549 | 0.548 | 0.550 | |
情景绩效 | 0.210 | 0.249 | 0.236 | 0.293 | 0.313 | 0.689 | 0.598 | 0.458 | 0..521 |
Tab.3 Identify the discriminant validity of variables
潜在变量 | 经济责任取向 | 法律责任取向 | 道德责任取向 | 慈善责任取向 | 官僚型 | 支持型 | 创新型 | 任务 绩效 | 情景 绩效 |
---|---|---|---|---|---|---|---|---|---|
经济责任取向 | 0.678 | ||||||||
法律责任取向 | 0.500 | 0.609 | |||||||
道德责任取向 | 0.474 | 0.563 | 0.885 | ||||||
慈善责任取向 | 0.587 | 0.598 | 0.661 | 0.989 | |||||
官僚型 | 0.347 | 0.412 | 0.390 | 0.576 | 0.722 | ||||
支持型 | 0.468 | 0.557 | 0.527 | 0.484 | 0.483 | 0.781 | |||
创新型 | 0.413 | 0.491 | 0.465 | 0.654 | 0.652 | 0.672 | 0.861 | ||
任务绩效 | 0.279 | 0.332 | 0.314 | 0.389 | 0.416 | 0.549 | 0.548 | 0.550 | |
情景绩效 | 0.210 | 0.249 | 0.236 | 0.293 | 0.313 | 0.689 | 0.598 | 0.458 | 0..521 |
CMIN/DF | CFI | GFI | AGFI | NFI | RFI | TLI | RMSEA | RMR | |
---|---|---|---|---|---|---|---|---|---|
模型1 | 3.231 | 0.955 | 0.901 | 0.958 | 0.971 | 0.965 | 0.966 | 0.066 | 0.025 |
模型2 | 2.145 | 0.918 | 0.921 | 0.981 | 0.958 | 0.984 | 0.991 | 0.071 | 0.034 |
模型3 | 2.357 | 0.923 | 0.985 | 0.948 | 0.971 | 0.967 | 0.982 | 0.067 | 0.045 |
模型4 | 1.814 | 0.994 | 0.970 | 0.923 | 0.986 | 0.916 | 0.968 | 0.063 | 0.036 |
参考标准 | 1<CMIN/DF<5 | >0.90 | >0.90 | >0.90 | >0.90 | >0.90 | >0.90 | <0.08 | <0.05 |
Tab.4 Model fitting test results
CMIN/DF | CFI | GFI | AGFI | NFI | RFI | TLI | RMSEA | RMR | |
---|---|---|---|---|---|---|---|---|---|
模型1 | 3.231 | 0.955 | 0.901 | 0.958 | 0.971 | 0.965 | 0.966 | 0.066 | 0.025 |
模型2 | 2.145 | 0.918 | 0.921 | 0.981 | 0.958 | 0.984 | 0.991 | 0.071 | 0.034 |
模型3 | 2.357 | 0.923 | 0.985 | 0.948 | 0.971 | 0.967 | 0.982 | 0.067 | 0.045 |
模型4 | 1.814 | 0.994 | 0.970 | 0.923 | 0.986 | 0.916 | 0.968 | 0.063 | 0.036 |
参考标准 | 1<CMIN/DF<5 | >0.90 | >0.90 | >0.90 | >0.90 | >0.90 | >0.90 | <0.08 | <0.05 |
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