The antecedents and effects of app evolution: a co-evolutionary perspective

被引:0
作者
Tian, Hengqi [1 ]
Lin, Feiyan [1 ]
Guo, Bingchen [1 ]
Zhao, Jing [1 ]
机构
[1] China Univ Geosci, Sch Econ & Management, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
app evolution; app updates; platform envelopment; Red Queen competition; RED-QUEEN; MOBILE APPS; PLATFORM; INNOVATION; DEVELOPERS; SYSTEMS; MARKET; ECOSYSTEMS; STRATEGY;
D O I
10.1504/IJMC.2022.122618
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
B2C platforms have increasingly relied on applications (apps) to conduct business and compete fiercely with rivals and complementors in the contest of app evolution. The extant digital innovation and digital platform literature mainly study antecedents of app evolution from the platform perspective and with scant attention on how intra-platform competition affects app evolution. Based on Red Queen competition theory and the platform envelopment literature, we investigate how the coevolutionary competition with rival and complementor apps affects the evolution of the focal app and the subsequent effects on its market performance. Our empirical results unveil an inverted U-shaped relationship between app evolution and market performance and show that rival app evolution decreases the rate at which the B2C app evolves, while complementor app evolution escalates the evolution rate. Theoretical and practical implications are discussed.
引用
收藏
页码:285 / 308
页数:24
相关论文
共 50 条
  • [41] Cooperative Co-Evolutionary Dynamic Multiobjective Optimization for Burden Surface Profile Decision in Blast Furnace Ironmaking
    Li, Yanjiao
    Zhang, Yongjun
    Li, Qing
    Zhang, Jie
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2025, 74
  • [42] Environment Sensitivity-Based Cooperative Co-Evolutionary Algorithms for Dynamic Multi-Objective Optimization
    Xu, Biao
    Zhang, Yong
    Gong, Dunwei
    Guo, Yinan
    Rong, Miao
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2018, 15 (06) : 1877 - 1890
  • [43] A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center
    Lei, Hongtao
    Wang, Rui
    Zhang, Tao
    Liu, Yajie
    Zha, Yabing
    COMPUTERS & OPERATIONS RESEARCH, 2016, 75 : 103 - 117
  • [44] Solving optimal power flow problems via a constrained many-objective co-evolutionary algorithm
    Tian, Ye
    Shi, Zhangxiang
    Zhang, Yajie
    Zhang, Limiao
    Zhang, Haifeng
    Zhang, Xingyi
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [45] A STUDY OF A QUADRUPLE CO-EVOLUTIONARY MODEL AND ITS RECIPROCITY PHASE FOR VARIOUS PRISONER'S DILEMMA GAME
    Tanimoto, Jun
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2011, 22 (04): : 401 - 417
  • [46] A co-evolutionary approach to understanding construction industry innovation in renovation practices for low-carbon outcomes
    Killip, Gavin
    Owen, Alice
    Morgan, Elizabeth
    Topouzi, Marina
    INTERNATIONAL JOURNAL OF ENTREPRENEURSHIP AND INNOVATION, 2018, 19 (01) : 9 - 20
  • [47] Evolution of technology cooperation networks based on networked evolutionary games model: An industrial heterogeneity perspective
    Yang, Xiaomeng
    Kong, Lingkai
    Qu, Sen
    TECHNOLOGY IN SOCIETY, 2024, 78
  • [48] Bringing resilience together: On the co-evolutionary capacities of boundary organizations during the COVID-19 pandemic in Rotterdam
    Boonstra, Beitske
    Rommens, Naomi
    CITIES, 2023, 140
  • [49] A Co-evolutionary, Transdisciplinary Approach to Innovation in Complex Contexts: Improving University Well-Being, a Case Study
    Van der Bijl-Brouwer, Mieke
    Kligyte, Giedre
    Key, Tyler
    SHE JI-THE JOURNAL OF DESIGN ECONOMICS AND INNOVATION, 2021, 7 (04) : 565 - 588
  • [50] Hierarchical two-stage robust optimisation dispatch based on co-evolutionary theory for multiple CCHP microgrids
    Tan, Bifei
    Chen, Haoyong
    Zheng, Xiaodong
    IET RENEWABLE POWER GENERATION, 2020, 14 (19) : 4121 - 4131