产品(数学)
节奏
业务
营销
广告
稳健性(进化)
产品类别
市场细分
数字化战略
消费者行为
前因(行为心理学)
品牌管理
过程(计算)
产品创新
普通最小二乘法
控制(管理)
负二项分布
新产品开发
口头传述的
产品管理
下游(制造业)
产量(工程)
持续时间(音乐)
经济
全渠道
作者
Zhi Yang,Jiaxin Bao,Shengmei Wu,Min Huang
出处
期刊:Asia Pacific Journal of Marketing and Logistics
[Emerald Publishing Limited]
日期:2025-12-08
卷期号:: 1-26
标识
DOI:10.1108/apjml-05-2025-0881
摘要
Purpose Digital products often rely on continuous version updates as generational product innovation (GPI) to build and sustain consumer engagement. Unlike traditional settings that emphasize discrete, content-focused launches, digital contexts elevate the temporal structure of innovation. This study examines how the release rhythm influences engagement and explores the moderating roles of brand awareness and the pricing model. Design/methodology/approach We collected data on 416 mobile apps and analyzed 1,071 version updates. We employ negative binomial regressions as the primary estimation method to analyze consumer engagement and use ordinary least squares (OLS) regressions as robustness checks. To address endogeneity, we apply a two-stage control function approach using industry-level GPI rhythm irregularity as an instrumental variable. Findings The analysis reveals that irregular GPI rhythms enhance consumer engagement, while regular rhythms yield weaker effects. Moreover, the positive impact of irregular GPI rhythm is amplified when brand awareness is high and when products are free. Practical implications Managers can strategically use irregular innovation timing to enhance user engagement, especially for free products and strong brands in competitive digital markets. Originality/value The study reframes GPI in digital markets as a temporal signaling process that highlights the pattern of revealing innovation beyond its content or frequency. It identifies irregular rhythm as a novel antecedent of engagement and shows that brand awareness and pricing condition how temporal signals are interpreted, explaining firms’ use of aperiodic releases and informing decisions about when to reveal product generations.
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