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A Study on Temporal Effects of Different Types of Mobile Application Updates

Author

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  • Feiyan Lin

    (School of Economics and Management, China University of Geosciences, Wuhan 430078, China)

  • Jing Zhao

    (School of Economics and Management, China University of Geosciences, Wuhan 430078, China)

  • Maomao Chi

    (Institute of Digital Commerce, Wuhan Technology and Business University, Wuhan 430065, China)

Abstract

The sustainability of market performance of mobile applications (apps) updates is a vital goal for e-commerce firms to continuously innovate for products and functions. E-commerce firms must formulate effective app update strategies and tackle the temporal uncertainties associated with different types of app updates. However, the existing literature on app updates mainly focuses on the effects of update frequency. At the same time, scant attention has been paid to clarifying the temporal effects of different types of app updates. Accordingly, based on the framework of exploration vs. exploitation, we investigate the temporal effects of different kinds of app updates on market performance in the hypercompetitive context of online travel mobile applications. We collected data on release notes and downloads of seven Chinese online travel apps available from the Android Market from April 2013 to January 2015; conducted structured content analysis to identify different types of app updates; and adopted the feasible generalized least-squares (FGLS) estimation to test our model. We found that exploitative app updates have an instant and continuous positive impact on market performance, while explorative app updates have no significant effect in the short term but will have a positive effect on market performance in the long term. Moreover, competition intensity shortens the duration of the positive effect of exploitative app updates and delays the time that explorative app updates have to take effect. By studying the different impacts that two types of app updates have on market performance from a time dimension, this study helps resolve the mixed findings on the effects of app updates and guides e-commerce firms on how to effectively formulate app update strategies in a hypercompetitive context.

Suggested Citation

  • Feiyan Lin & Jing Zhao & Maomao Chi, 2022. "A Study on Temporal Effects of Different Types of Mobile Application Updates," Sustainability, MDPI, vol. 14(3), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1487-:d:735919
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    References listed on IDEAS

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    1. Anindya Ghose & Sang Pil Han, 2014. "Estimating Demand for Mobile Applications in the New Economy," Management Science, INFORMS, vol. 60(6), pages 1470-1488, June.
    2. Zi-Lin He & Poh-Kam Wong, 2004. "Exploration vs. Exploitation: An Empirical Test of the Ambidexterity Hypothesis," Organization Science, INFORMS, vol. 15(4), pages 481-494, August.
    3. Stefano Comino & Fabio M. Manenti & Franco Mariuzzo, 2019. "Updates management in mobile applications: iTunes versus Google Play," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(3), pages 392-419, June.
    4. Amrit Tiwana, 2015. "Evolutionary Competition in Platform Ecosystems," Information Systems Research, INFORMS, vol. 26(2), pages 266-281, June.
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    Cited by:

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