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移动购物更快吗?决策场景与思维模式的相容性

本站小编 Free考研考试/2022-01-01

黄敏学, 王薇()
武汉大学 经济与管理学院 市场营销与旅游管理系, 武汉 430072
收稿日期:2018-01-24出版日期:2019-05-25发布日期:2019-03-20
通讯作者:王薇E-mail:497092314@qq.com

基金资助:国家自然科学基金(91746206);国家自然科学基金(71672132)

Does mobile shopping make fast decisions? The role of contextual factors and thinking style

HUANG Minxue, WANG Wei()
Department of Marketing and Tourism Management, Economics and Management School, Wuhan University, Wuhan 430072, China
Received:2018-01-24Online:2019-05-25Published:2019-03-20
Contact:WANG Wei E-mail:497092314@qq.com






摘要/Abstract


摘要: 既有文献对消费者延迟选择影响因素的研究, 主要集中于决策复杂度、决策者特质或情绪, 少有对决策场景进行深入探讨。互联网购物时代, PC端与手机端已成为重要的消费场景。针对手机端是否会加快消费者决策过程的问题目前也存在不一致的结论。本文引入决策双系统理论, 力图解释以往看似冲突的结论。消费者的购买决策模式, 不仅会受到决策任务(产品价格)的影响, 还会受到决策场景(购买终端)影响。当场景与决策任务使消费者启动的思维模式相一致时, 会提升决策流畅度, 降低延迟选择。本文发现, 移动端(PC端)与低(高)价格产品更容易激发相容的经验性(理性)思维, 降低延迟选择倾向。反之, 则会同时启动两种相左的决策思维, 增加延迟选择倾向。本文从场景启动与价格启动视角, 将以往消费者单一的决策思维模式, 拓展到多因素启动的思维模式相容性问题; 同时本文通过探究延迟选择问题, 对价格策略与场景化营销带来启示。



图1研究框架
图1研究框架


表1价格水平类型与购买终端订单数交叉表
购买终端 低价格 高价格 总计
手机端 1568 629 2197
PC端 1015 462 1477
总计 2583 1091 -

表1价格水平类型与购买终端订单数交叉表
购买终端 低价格 高价格 总计
手机端 1568 629 2197
PC端 1015 462 1477
总计 2583 1091 -


表2变量的描述性统计分析结果
变量 N 极小值 极大值 M SD
单价 3674 12 410 98.19 83.98
购买终端 3674 0 1 0.44 0.49
订单时长 3674 6 106899 2252.11 12048.19

表2变量的描述性统计分析结果
变量 N 极小值 极大值 M SD
单价 3674 12 410 98.19 83.98
购买终端 3674 0 1 0.44 0.49
订单时长 3674 6 106899 2252.11 12048.19


表3门限回归参数结果
参数 估计值 t p
μ 1.426 5.941 < 0.001
β1 0.001 0.312 0.757
β2 -0.01 -5.496 < 0.001

表3门限回归参数结果
参数 估计值 t p
μ 1.426 5.941 < 0.001
β1 0.001 0.312 0.757
β2 -0.01 -5.496 < 0.001



图2PC端与手机端订单时长差散点图
图2PC端与手机端订单时长差散点图



图3情境刺激图例
图3情境刺激图例



图4购买终端与价格水平的交互作用对延迟选择的影响
图4购买终端与价格水平的交互作用对延迟选择的影响


表4购买终端与价格水平的交互对延迟选择影响的方差分析表
来源 第三类平方和 df 平均值平方 F p
修正的模型 99.626 3 33.209 77.101 < 0.001
截距 2862.513 1 2862.513 6645.895 < 0.001
购买终端 2.957 1 2.957 6.865 0.010
价格水平 0.000 1 0.000 0.001 0.978
购买终端×价格水平 97.370 1 97.370 226.063 < 0.001
错误 57.716 134 0.431 - -
总计 3019.750 138 - - -
校正后系数 157.342 137 - - -

表4购买终端与价格水平的交互对延迟选择影响的方差分析表
来源 第三类平方和 df 平均值平方 F p
修正的模型 99.626 3 33.209 77.101 < 0.001
截距 2862.513 1 2862.513 6645.895 < 0.001
购买终端 2.957 1 2.957 6.865 0.010
价格水平 0.000 1 0.000 0.001 0.978
购买终端×价格水平 97.370 1 97.370 226.063 < 0.001
错误 57.716 134 0.431 - -
总计 3019.750 138 - - -
校正后系数 157.342 137 - - -


表5经验性思维的中介作用
变量 模型1延迟选择 模型2经验性思维 模型3理性思维 模型4延迟选择
β t β t β t β t
手机端 -0.04 -0.33 0.01 0.08 0.16 0.78 -0.03 -0.29
价格水平 -0.44 -0.95 1.04* 2.07 -0.43 -0.53 -0.21 -0.46
手机端×价格水平 1.28* 2.51 -1.79** -3.20 0.45 0.51 0.89 1.65
经验性思维 -0.22* -2.02
理性思维 -0.02 -0.25
调整后R2 0.67 0.61 0.01 0.68

表5经验性思维的中介作用
变量 模型1延迟选择 模型2经验性思维 模型3理性思维 模型4延迟选择
β t β t β t β t
手机端 -0.04 -0.33 0.01 0.08 0.16 0.78 -0.03 -0.29
价格水平 -0.44 -0.95 1.04* 2.07 -0.43 -0.53 -0.21 -0.46
手机端×价格水平 1.28* 2.51 -1.79** -3.20 0.45 0.51 0.89 1.65
经验性思维 -0.22* -2.02
理性思维 -0.02 -0.25
调整后R2 0.67 0.61 0.01 0.68



图5经验性思维中介作用路径分析图
图5经验性思维中介作用路径分析图



图6理性思维中介作用路径分析图
图6理性思维中介作用路径分析图


表6理性思维的中介作用
变量 模型1延迟选择 模型2经验性思维 模型3理性思维 模型4延迟选择
β t β t β t β t
PC端 0.33** 2.68 0.47* 2.59 0.28* 2.35 0.18 1.54
价格水平 0.28 0.58 -0.15 -0.21 0.48 1.00 0.05 0.11
PC端×价格水平 -1.11* -2.24 -0.04 -0.05 -1.31** -2.70 -0.45 -0.98
经验性思维 0.02 0.25
理性思维 0.50*** 4.23
调整后R2 0.64 0.21 0.65 0.67

表6理性思维的中介作用
变量 模型1延迟选择 模型2经验性思维 模型3理性思维 模型4延迟选择
β t β t β t β t
PC端 0.33** 2.68 0.47* 2.59 0.28* 2.35 0.18 1.54
价格水平 0.28 0.58 -0.15 -0.21 0.48 1.00 0.05 0.11
PC端×价格水平 -1.11* -2.24 -0.04 -0.05 -1.31** -2.70 -0.45 -0.98
经验性思维 0.02 0.25
理性思维 0.50*** 4.23
调整后R2 0.64 0.21 0.65 0.67







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