When Is HILO Low? Price Image Formation Based on Frequency versus Depth Pricing Strategies

竞争对手分析 定价策略 经济 价格歧视 计量经济学 参考价格 营销 业务 微观经济学
作者
Daniel Sheehan,Ryan Hamilton,Ramnath K. Chellappa
出处
期刊:Journal of Consumer Research [Oxford University Press]
卷期号:49 (4): 543-560 被引量:2
标识
DOI:10.1093/jcr/ucac005
摘要

Abstract One of the prominent pricing decisions a retailer can make is its choice of pricing strategy. Previous research investigating consumers’ responses to stores with frequent, shallow price advantages relative to competitors (a frequency strategy) versus stores with infrequent, deep price advantages (a depth strategy) was all conducted by allowing people to simultaneously view prices from multiple stores, a setting that emphasized across-store comparisons. The present research finds that when a store’s prices are evaluated separately, as opposed to simultaneously across stores, many of the prominent findings of previous research are reversed. The authors demonstrate that without simultaneous comparisons across stores, consumers shift from using across-store prices as reference points to using within-category reference prices. As a result of this shift, deep price advantages are easier to evaluate than frequent price advantages, and therefore more influential on consumers’ formation of price image. When stores are evaluated separately, the result is most often a depth advantage, where stores with a HILO pricing strategy are evaluated as having a lower price image than EDLP stores, even when the average prices are the same. These results cannot be explained by prior work related to frequency and depth pricing strategies that relied on across-store comparisons.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
卢博成完成签到,获得积分10
1秒前
1秒前
糕手发布了新的文献求助30
3秒前
行者无疆完成签到,获得积分10
3秒前
温柔的香岚完成签到,获得积分10
4秒前
123发布了新的文献求助10
4秒前
5秒前
爆米花应助大刘采纳,获得10
6秒前
7秒前
8秒前
呆萌魏完成签到,获得积分10
9秒前
菜菜鱼发布了新的文献求助10
10秒前
科研通AI2S应助sirhai采纳,获得10
11秒前
Hello应助自由秋翠采纳,获得30
12秒前
王翎力发布了新的文献求助10
14秒前
Irislee完成签到,获得积分10
17秒前
19秒前
张欢馨应助结构小工采纳,获得10
21秒前
23秒前
Spark完成签到,获得积分10
24秒前
领导范儿应助123采纳,获得10
24秒前
cc完成签到 ,获得积分10
28秒前
30秒前
雾月完成签到,获得积分10
31秒前
smmy发布了新的文献求助10
34秒前
37秒前
37秒前
回复对方完成签到,获得积分10
38秒前
盼人怜完成签到,获得积分10
39秒前
华仔应助smmy采纳,获得10
39秒前
菜菜鱼发布了新的文献求助10
41秒前
张恩梅发布了新的文献求助10
44秒前
小蘑菇应助xiuuu采纳,获得10
51秒前
53秒前
57秒前
Bin_Liu发布了新的文献求助10
59秒前
1分钟前
1分钟前
小蘑菇应助科研通管家采纳,获得10
1分钟前
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7587484
求助须知:如何正确求助?哪些是违规求助? 9165845
关于积分的说明 19616964
捐赠科研通 7167862
什么是DOI,文献DOI怎么找? 3266917
关于科研通互助平台的介绍 2431831
邀请新用户注册赠送积分活动 2258781