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旅游导刊 ›› 2019, Vol. 3 ›› Issue (3): 28-44.DOI: 10.12054/lydk.bisu.112
收稿日期:
2018-08-16
修回日期:
2019-03-10
出版日期:
2019-06-30
发布日期:
2019-07-11
作者简介:
高凌江(1974— ),男,河北承德人,博士,北京第二外国语学院教授、硕士生导师,研究方向:财税理论与政策、旅游与会展经济。E-mail:基金资助:
Lingjia GAO(), Qianqian LIU, Yujun TANG
Received:
2018-08-16
Revised:
2019-03-10
Online:
2019-06-30
Published:
2019-07-11
摘要:
展览会赞助作为一个新的营销平台,已经成为赞助营销领域的新增长点,越来越受到企业关注。为了对展览会赞助效果进行有效评估,本文以上海国际酒店用品博览会为例,对展览会中355位专业观众做问卷调查,并采用结构方程模型对展览会赞助匹配与赞助商品牌资产各维度之间的关系进行分析和检验。研究结果表明:展览会赞助匹配度对赞助商品牌资产存在影响;形象匹配对赞助商品牌资产的影响均大于功能匹配;功能匹配对品牌意识影响最大,对品牌联想的影响次之,对品牌忠诚度的影响最小;形象匹配对品牌忠诚度的影响最大,对感知质量的影响次之,对品牌意识的影响最小。
中图分类号:
高凌江, 刘倩倩, 汤宇军. 展览会赞助匹配对赞助商品牌资产的影响研究——以上海国际酒店用品博览会为例[J]. 旅游导刊, 2019, 3(3): 28-44.
Lingjia GAO, Qianqian LIU, Yujun TANG. An Empirical Study on the Impact of Exposition-Sponsor Fit on Sponsor Brand Equity : A Case Study of Shanghai HOTELEX[J]. Tourism and Hospitality Prospects, 2019, 3(3): 28-44.
量表 | 题目代码 | 量表题项 | 来源 |
---|---|---|---|
功能匹配 | FM1 | ×××企业产品很有可能被使用 | 卢长宝(2009) |
FM2 | 会看到×××企业产品被使用 | ||
FM3 | ×××企业可以提供高品质的物料支持 | ||
形象匹配 | IM1 | ×××企业形象与活动相似 | 卢长宝(2009) |
IM2 | ×××企业与活动品质在同一水平上 | ||
IM3 | ×××企业产品或服务完全可以被使用 | ||
品牌意识 | BR1 | ×××品牌很出名 | 王海忠、于春玲 和赵平(2006) |
BR2 | ×××品牌家喻户晓 | ||
BR3 | ×××品牌给您印象深刻 | ||
品牌联想 | BA1 | 很容易想起×××品牌的一些特征 | Yoo、Donthu和Lee(2000) 王海忠、于春玲 和赵平(2006) |
BA2 | 很容易想起×××品牌的符号与标识 | ||
BA3 | 很容易想起×××品牌的代表性品牌形象及个性 | ||
BA4 | 很快想起×××公司的一些情况 | ||
感知质量 | PQ1 | 认为×××品牌产品工艺非常好 | Dodds、Monroe 和Grewal(1991) |
PQ2 | 感觉×××品牌产品质量非常好 | ||
PQ3 | 认为×××品牌产品可以信赖 | ||
PQ4 | 对×××品牌产品质量感到放心 | ||
品牌忠诚 | BL1 | ×××品牌成为您的第一选择 | 王海忠、于春玲 和赵平(2006) |
BL2 | 更愿意购买×××品牌 | ||
BL3 | 更愿意向他人推荐×××品牌 | ||
BL4 | 一直坚持购买×××品牌产品 | ||
BL5 | 愿意增加在×××品牌的支出 |
表1 展览会赞助匹配对品牌资产影响研究量表项目
Tab.1 The gauge of research on influence of exposition-sponsor fit on brand equity
量表 | 题目代码 | 量表题项 | 来源 |
---|---|---|---|
功能匹配 | FM1 | ×××企业产品很有可能被使用 | 卢长宝(2009) |
FM2 | 会看到×××企业产品被使用 | ||
FM3 | ×××企业可以提供高品质的物料支持 | ||
形象匹配 | IM1 | ×××企业形象与活动相似 | 卢长宝(2009) |
IM2 | ×××企业与活动品质在同一水平上 | ||
IM3 | ×××企业产品或服务完全可以被使用 | ||
品牌意识 | BR1 | ×××品牌很出名 | 王海忠、于春玲 和赵平(2006) |
BR2 | ×××品牌家喻户晓 | ||
BR3 | ×××品牌给您印象深刻 | ||
品牌联想 | BA1 | 很容易想起×××品牌的一些特征 | Yoo、Donthu和Lee(2000) 王海忠、于春玲 和赵平(2006) |
BA2 | 很容易想起×××品牌的符号与标识 | ||
BA3 | 很容易想起×××品牌的代表性品牌形象及个性 | ||
BA4 | 很快想起×××公司的一些情况 | ||
感知质量 | PQ1 | 认为×××品牌产品工艺非常好 | Dodds、Monroe 和Grewal(1991) |
PQ2 | 感觉×××品牌产品质量非常好 | ||
PQ3 | 认为×××品牌产品可以信赖 | ||
PQ4 | 对×××品牌产品质量感到放心 | ||
品牌忠诚 | BL1 | ×××品牌成为您的第一选择 | 王海忠、于春玲 和赵平(2006) |
BL2 | 更愿意购买×××品牌 | ||
BL3 | 更愿意向他人推荐×××品牌 | ||
BL4 | 一直坚持购买×××品牌产品 | ||
BL5 | 愿意增加在×××品牌的支出 |
变量 | 选项 | 频数 | 百分比 | 变量 | 选项 | 频数 | 百分比 |
---|---|---|---|---|---|---|---|
性别 | 男 | 196 | 55.2% | 机构规模 | 100人以下 | 23 | 6.5% |
女 | 159 | 44.8% | 100~500人 | 159 | 44.8% | ||
学历 | 初中及以下 | 6 | 1.7% | 500~1000人 | 51 | 14.3% | |
高中、中专等 | 31 | 8.7% | 1000人以上 | 17 | 4.8% | ||
大专 | 101 | 28.5% | 不清楚 | 105 | 29.6% | ||
大学本科 | 134 | 37.7% | 职位 | 企业家、合伙人 | 34 | 9.6% | |
研究生及以上 | 83 | 23.4% | 高级管理者 | 106 | 29.9% | ||
年龄 | 25~34岁 | 77 | 21.7% | 中级管理者 | 151 | 42.5% | |
35~44岁 | 172 | 48.4% | 低级管理者 | 54 | 15.2% | ||
45~54岁 | 88 | 24.8% | 普通员工 | 10 | 2.8% | ||
55岁及以上 | 18 | 5.1% | 决策权 | 可全权决策 | 70 | 19.7% | |
有部分决策权 | 176 | 49.6% | |||||
经历 | 购买过 | 174 | 49.0% | 有建议权 | 89 | 25.1% | |
没有购买过 | 181 | 51.0% | 无权参与决策 | 20 | 5.6% |
表2 样本描述性统计分析结果(N=355)
Tab.2 The results of descriptive statistical analysis of samples(N=355)
变量 | 选项 | 频数 | 百分比 | 变量 | 选项 | 频数 | 百分比 |
---|---|---|---|---|---|---|---|
性别 | 男 | 196 | 55.2% | 机构规模 | 100人以下 | 23 | 6.5% |
女 | 159 | 44.8% | 100~500人 | 159 | 44.8% | ||
学历 | 初中及以下 | 6 | 1.7% | 500~1000人 | 51 | 14.3% | |
高中、中专等 | 31 | 8.7% | 1000人以上 | 17 | 4.8% | ||
大专 | 101 | 28.5% | 不清楚 | 105 | 29.6% | ||
大学本科 | 134 | 37.7% | 职位 | 企业家、合伙人 | 34 | 9.6% | |
研究生及以上 | 83 | 23.4% | 高级管理者 | 106 | 29.9% | ||
年龄 | 25~34岁 | 77 | 21.7% | 中级管理者 | 151 | 42.5% | |
35~44岁 | 172 | 48.4% | 低级管理者 | 54 | 15.2% | ||
45~54岁 | 88 | 24.8% | 普通员工 | 10 | 2.8% | ||
55岁及以上 | 18 | 5.1% | 决策权 | 可全权决策 | 70 | 19.7% | |
有部分决策权 | 176 | 49.6% | |||||
经历 | 购买过 | 174 | 49.0% | 有建议权 | 89 | 25.1% | |
没有购买过 | 181 | 51.0% | 无权参与决策 | 20 | 5.6% |
FM | IM | BR | BA | PQ | BL | |
---|---|---|---|---|---|---|
FM | 0.506 | |||||
IM | 0.394 | 0.521 | ||||
BR | 0.407 | 0.395 | 0.548 | |||
BA | 0.409 | 0.404 | 0.483 | 0.580 | ||
PQ | 0.397 | 0.383 | 0.448 | 0.477 | 0.539 | |
BL | 0.382 | 0.396 | 0.459 | 0.485 | 0.480 | 0.564 |
表3 各变量之间的协方差矩阵
Tab.3 Inter-item covariance matrix
FM | IM | BR | BA | PQ | BL | |
---|---|---|---|---|---|---|
FM | 0.506 | |||||
IM | 0.394 | 0.521 | ||||
BR | 0.407 | 0.395 | 0.548 | |||
BA | 0.409 | 0.404 | 0.483 | 0.580 | ||
PQ | 0.397 | 0.383 | 0.448 | 0.477 | 0.539 | |
BL | 0.382 | 0.396 | 0.459 | 0.485 | 0.480 | 0.564 |
测量 指标 | Mean | 标准差 | 偏度 | 峰度 | SRW | S.E | p值 | R2 | 信度 系数 | 建构 信度 | AVE |
---|---|---|---|---|---|---|---|---|---|---|---|
FM1 | 3.75 | 0.827 | —0.625 | 1.038 | 0.887 | 0.000 | 0.787 | 0.787 | 0.879 | 0.900 9 | |
FM2 | 3.74 | 0.789 | —0.340 | 0.339 | 0.900 | 0.041 | 0.000 | 0.810 | 0.810 | ||
FM3 | 3.75 | 0.759 | —0.173 | 0.108 | 0.774 | 0.044 | 0.000 | 0.600 | 0.600 | ||
IM1 | 3.59 | 0.792 | —0.088 | —0.064 | 0.879 | 0.000 | 0.772 | 0.772 | 0.863 | 0.873 4 | |
IM2 | 3.54 | 0.820 | —0.191 | 0.275 | 0.820 | 0.050 | 0.000 | 0.672 | 0.672 | ||
IM3 | 3.70 | 0.832 | —0.415 | 0.571 | 0.791 | 0.052 | 0.000 | 0.625 | 0.625 | ||
BR1 | 3.70 | 0.796 | —0.155 | —0.077 | 0.866 | 0.000 | 0.750 | 0.750 | 0.916 | 0.940 3 | |
BR2 | 3.57 | 0.818 | —0.133 | —0.014 | 0.878 | 0.046 | 0.000 | 0.770 | 0.770 | ||
BR3 | 3.66 | 0.788 | —0.118 | —0.048 | 0.905 | 0.043 | 0.000 | 0.818 | 0.818 | ||
BA1 | 3.68 | 0.801 | —0.282 | 0.190 | 0.908 | 0.000 | 0.824 | 0.824 | 0.953 | 0.968 2 | |
BA2 | 3.67 | 0.828 | —0.344 | 0.236 | 0.935 | 0.035 | 0.000 | 0.875 | 0.875 | ||
BA3 | 3.65 | 0.801 | —0.242 | 0.155 | 0.926 | 0.034 | 0.000 | 0.857 | 0.857 | ||
BA4 | 3.61 | 0.824 | —0.278 | 0.186 | 0.890 | 0.038 | 0.000 | 0.793 | 0.793 | ||
PQ1 | 3.67 | 0.774 | —0.096 | —0.004 | 0.912 | 0.000 | 0.831 | 0.831 | 0.962 | 0.978 3 | |
PQ2 | 3.71 | 0.750 | —0.034 | 0.027 | 0.957 | 0.030 | 0.000 | 0.917 | 0.917 | ||
PQ3 | 3.74 | 0.797 | —0.203 | 0.121 | 0.917 | 0.035 | 0.000 | 0.840 | 0.840 | ||
PQ4 | 3.72 | 0.780 | —0.078 | —0.094 | 0.935 | 0.033 | 0.000 | 0.874 | 0.874 | ||
BL1 | 3.62 | 0.809 | —0.112 | 0.023 | 0.913 | 0.000 | 0.834 | 0.834 | 0.953 | 0.953 7 | |
BL2 | 3.71 | 0.800 | —0.101 | —0.164 | 0.880 | 0.036 | 0.000 | 0.775 | 0.775 | ||
BL3 | 3.63 | 0.831 | —0.259 | 0.134 | 0.894 | 0.037 | 0.000 | 0.799 | 0.799 | ||
BL4 | 3.59 | 0.843 | —0.058 | —0.180 | 0.907 | 0.036 | 0.000 | 0.823 | 0.823 | ||
BL5 | 3.61 | 0.806 | —0.131 | —0.115 | 0.887 | 0.036 | 0.000 | 0.788 | 0.788 |
表4 描述性统计和验证性因子分析结果
Tab.3 The results of descriptive statistical analysis and confirmatory factor analysis
测量 指标 | Mean | 标准差 | 偏度 | 峰度 | SRW | S.E | p值 | R2 | 信度 系数 | 建构 信度 | AVE |
---|---|---|---|---|---|---|---|---|---|---|---|
FM1 | 3.75 | 0.827 | —0.625 | 1.038 | 0.887 | 0.000 | 0.787 | 0.787 | 0.879 | 0.900 9 | |
FM2 | 3.74 | 0.789 | —0.340 | 0.339 | 0.900 | 0.041 | 0.000 | 0.810 | 0.810 | ||
FM3 | 3.75 | 0.759 | —0.173 | 0.108 | 0.774 | 0.044 | 0.000 | 0.600 | 0.600 | ||
IM1 | 3.59 | 0.792 | —0.088 | —0.064 | 0.879 | 0.000 | 0.772 | 0.772 | 0.863 | 0.873 4 | |
IM2 | 3.54 | 0.820 | —0.191 | 0.275 | 0.820 | 0.050 | 0.000 | 0.672 | 0.672 | ||
IM3 | 3.70 | 0.832 | —0.415 | 0.571 | 0.791 | 0.052 | 0.000 | 0.625 | 0.625 | ||
BR1 | 3.70 | 0.796 | —0.155 | —0.077 | 0.866 | 0.000 | 0.750 | 0.750 | 0.916 | 0.940 3 | |
BR2 | 3.57 | 0.818 | —0.133 | —0.014 | 0.878 | 0.046 | 0.000 | 0.770 | 0.770 | ||
BR3 | 3.66 | 0.788 | —0.118 | —0.048 | 0.905 | 0.043 | 0.000 | 0.818 | 0.818 | ||
BA1 | 3.68 | 0.801 | —0.282 | 0.190 | 0.908 | 0.000 | 0.824 | 0.824 | 0.953 | 0.968 2 | |
BA2 | 3.67 | 0.828 | —0.344 | 0.236 | 0.935 | 0.035 | 0.000 | 0.875 | 0.875 | ||
BA3 | 3.65 | 0.801 | —0.242 | 0.155 | 0.926 | 0.034 | 0.000 | 0.857 | 0.857 | ||
BA4 | 3.61 | 0.824 | —0.278 | 0.186 | 0.890 | 0.038 | 0.000 | 0.793 | 0.793 | ||
PQ1 | 3.67 | 0.774 | —0.096 | —0.004 | 0.912 | 0.000 | 0.831 | 0.831 | 0.962 | 0.978 3 | |
PQ2 | 3.71 | 0.750 | —0.034 | 0.027 | 0.957 | 0.030 | 0.000 | 0.917 | 0.917 | ||
PQ3 | 3.74 | 0.797 | —0.203 | 0.121 | 0.917 | 0.035 | 0.000 | 0.840 | 0.840 | ||
PQ4 | 3.72 | 0.780 | —0.078 | —0.094 | 0.935 | 0.033 | 0.000 | 0.874 | 0.874 | ||
BL1 | 3.62 | 0.809 | —0.112 | 0.023 | 0.913 | 0.000 | 0.834 | 0.834 | 0.953 | 0.953 7 | |
BL2 | 3.71 | 0.800 | —0.101 | —0.164 | 0.880 | 0.036 | 0.000 | 0.775 | 0.775 | ||
BL3 | 3.63 | 0.831 | —0.259 | 0.134 | 0.894 | 0.037 | 0.000 | 0.799 | 0.799 | ||
BL4 | 3.59 | 0.843 | —0.058 | —0.180 | 0.907 | 0.036 | 0.000 | 0.823 | 0.823 | ||
BL5 | 3.61 | 0.806 | —0.131 | —0.115 | 0.887 | 0.036 | 0.000 | 0.788 | 0.788 |
影响路径 | 假设 | 标准化估计值 | T值 | 是否支持假设 |
---|---|---|---|---|
FM→BR | H1a | 0.604 | 9.890*** | 是 |
FM→BA | H2a | 0.514 | 8.817*** | 是 |
FM→PQ | H3a | 0.459 | 7.922*** | 是 |
FM→BL | H4a | 0.416 | 6.930*** | 是 |
IM→BR | H1b | 0.745 | 9.767*** | 是 |
IM→BA | H2b | 0.758 | 9.937*** | 是 |
IM→PQ | H3b | 0.794 | 10.474*** | 是 |
IM→BL | H4b | 0.855 | 10.399*** | 是 |
表5 标准化系数估计值
Tab.5 Estimation of normalization coefficient
影响路径 | 假设 | 标准化估计值 | T值 | 是否支持假设 |
---|---|---|---|---|
FM→BR | H1a | 0.604 | 9.890*** | 是 |
FM→BA | H2a | 0.514 | 8.817*** | 是 |
FM→PQ | H3a | 0.459 | 7.922*** | 是 |
FM→BL | H4a | 0.416 | 6.930*** | 是 |
IM→BR | H1b | 0.745 | 9.767*** | 是 |
IM→BA | H2b | 0.758 | 9.937*** | 是 |
IM→PQ | H3b | 0.794 | 10.474*** | 是 |
IM→BL | H4b | 0.855 | 10.399*** | 是 |
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