Optimal distinctiveness, strategic categorization, and product market entry on the Google Play app platform

分类 最佳显著性理论 产品类别 产品(数学) 相似性(几何) 点(几何) 计算机科学 营销 新产品开发 竞争优势 业务 职位(财务) 产业组织 人工智能 心理学 数学 心理治疗师 图像(数学) 财务 几何学
作者
Matthew A. Barlow,J. Cameron Verhaal,Ryan Angus
出处
期刊:Strategic Management Journal [Wiley]
卷期号:40 (8): 1219-1242 被引量:156
标识
DOI:10.1002/smj.3019
摘要

Research Summary New entrants often face uncertainty regarding how to optimally position themselves within product markets. We suggest that new entrants can use two important schemas to strategically categorize themselves to gain a competitive advantage in platform markets: category exemplars and category prototypes. Using a unique dataset of more than 83,000 new Google Play developers and more than 139,000 apps, we find that the optimally distinct entry point is at a high level of exemplar similarity and a low level of prototype similarity. We find that greater alignment of an entrant with the prototype corresponds to a weaker benefit of exemplar similarity. These findings have important implications for understanding competitive dynamics within product markets, strategic positioning at entry, and the interdependence of strategic categorization decisions. Managerial Summary Entrepreneurial startups often find it difficult to know how to optimally position their products among a large number of rivals in highly competitive platform markets. Our study suggests that these startups can draw on two reference points to help determine the optimal positioning for their products: category exemplars and category prototypes. Exemplars include the most successful products in a market category while prototypes represent the most common products in a category. Drawing on a large dataset obtained from the Google Play app store, we find that developers can substantially increase the installs of their first app by crafting an app text description that is as similar as possible to the description of a category exemplar and as different as possible from the category's prototypical description.
最长约 10秒,即可获得该文献文件

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
赘婿应助lele采纳,获得30
1秒前
Milesma发布了新的文献求助10
2秒前
落寞元绿完成签到,获得积分10
2秒前
星辰大海应助呆萌小兔子采纳,获得10
2秒前
久顾南川完成签到,获得积分10
2秒前
2秒前
3秒前
嘴儿i关注了科研通微信公众号
3秒前
3秒前
苗儿完成签到,获得积分10
3秒前
3秒前
3秒前
M87发布了新的文献求助10
3秒前
4秒前
lw777完成签到,获得积分20
4秒前
June完成签到,获得积分10
5秒前
八度浮完成签到,获得积分10
5秒前
顾矜应助susu采纳,获得10
5秒前
6秒前
6秒前
6秒前
6秒前
老的火龙果完成签到,获得积分10
6秒前
7秒前
7秒前
Hannah发布了新的文献求助10
7秒前
stt完成签到,获得积分20
7秒前
gao456789发布了新的文献求助10
7秒前
李爱国应助莫斯科技术派采纳,获得30
7秒前
香蕉觅云应助TTRO采纳,获得10
7秒前
WWW=WWW发布了新的文献求助10
8秒前
Kao应助yio采纳,获得20
8秒前
拼搏的小鱼完成签到 ,获得积分10
8秒前
ElbingX完成签到,获得积分10
8秒前
8秒前
大个应助感谢大家采纳,获得10
8秒前
yx147完成签到,获得积分20
8秒前
8秒前
Leoon发布了新的文献求助30
9秒前
9秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7239029
求助须知:如何正确求助?哪些是违规求助? 8864297
关于积分的说明 18698316
捐赠科研通 6909984
什么是DOI,文献DOI怎么找? 3194763
关于科研通互助平台的介绍 2366993
邀请新用户注册赠送积分活动 2169379