我校擦边直播 王飞老师在T2级别期刊——《 Industrial Management & Data Systems》上发表题为“Configuring mobile app update strategy for growth: An empirical analysis of a landscape search model ”。论文第一作者王飞为擦边直播 副教授。

Abstract / 摘要：

PurposeThis study attempts to discover effective strategies for mobile commerce applications (apps) to grow their consumer base by releasing app strategic updates. Drawing on the landscape search model from strategy research, this study conceptualizes mobile app update strategy as three interdependent decisions, i.e. what business elements are changed in an app strategic update, how substantial the changes are and when strategic updates are released relative to the competitive environment.Design/methodology/approachUsing a field data set of 1,500 strategic updates of seven rival apps in the mobile travel market, this study integrated fuzzy set qualitative comparative analysis (fsQCA) with econometric analysis to analyze how app strategic update decisions interdependently influence app performance.FindingsThis study identified three effective and one ineffective mobile app update strategies from the mixed-method analysis, which verified the complex interdependency of app strategic update decisions. A general takeaway from these strategies is that a complex strategy problem on the mobile platform must be solved with respect to the constraints and capabilities of mobile technology.Originality/valueThis study moves beyond a linear view of the relationship between app update frequency and app performance and provides a holistic view of how and why app strategic update decisions mutually influence one another in their impact on app performance. This work makes contributions by identifying interdependency as a conceptual bridge between strategy and mobile app literature and developing an empirically testable version of the landscape search model.

论文信息;

Title/题目:

Configuring mobile app update strategy for growth: An empirical analysis of a landscape search model

Authors/作者:

Wang, Fei; Nan, Ning; Zhao, Jing

Keyword / 关键词

research-article; Research paper; cat-IKM; Information & knowledge management; Information systems; Data management systems; Knowledge management; Knowledge sharing; Management science & operations; Supply chain management

Indexed by / 核心评价

AHCI;EI;SCI;Scopus;WAJCI

DOI： 10.1108/IMDS-03-2023-0181

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