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The Dynamic Update of Mobile Apps: A Research Design with HMM Method

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HCI in Business, Government and Organizations (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14038))

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Abstract

The essential attribute of mobile apps is their dynamic update reflected by the weekly new versions. To gain a competitive advantage in the fierce competition, developers optimize their update strategy to improve app performance. However, the impact of the dynamic update on app performance is still unknown. This study proposes an approach to capture the sequential update of mobile apps in digital platform. Specifically, Hidden Markov Models (HMM) are established to estimate the influence of sequential updates on mobile app performance. As a theoretical paper, this research proposes that the update strategy determines the transmission among different levels of user satisfaction, which is the hidden states in HMM. Then, the transmission of user satisfaction influences app performance. The critical contribution of our study is that the process of mobile apps update is depicted by a dynamic approach. In this study, we propose the research design and discuss the implications.

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Acknowledgement

This research is funded by the National Natural Science Foundation of China (NSFC 72072087) and Laboratory of Data Intelligence and Interdisciplinary Innovation.

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Authors and Affiliations

  1. Laboratory of Data Intelligence and Interdisciplinary Innovation, School of Information Management, Nanjing University, Nanjing, 210023, Jiangsu, China

    Xinhui Liu, Kaiwen Bao, Lele Kang & Jianjun Sun

  2. Nanjing Agricultural University, Nanjing, 210023, Jiangsu, China

    Yanqing Shi

Authors
  1. Xinhui Liu
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  2. Kaiwen Bao
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  3. Lele Kang
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  4. Jianjun Sun
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  5. Yanqing Shi
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Correspondence to Lele Kang .

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Editors and Affiliations

  1. City University of Hong Kong, Kowloon, Hong Kong

    Fiona Nah

  2. City University of Hong Kong, Kowloon, Hong Kong

    Keng Siau

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Liu, X., Bao, K., Kang, L., Sun, J., Shi, Y. (2023). The Dynamic Update of Mobile Apps: A Research Design with HMM Method. In: Nah, F., Siau, K. (eds) HCI in Business, Government and Organizations. HCII 2023. Lecture Notes in Computer Science, vol 14038. Springer, Cham. https://doi.org/10.1007/978-3-031-35969-9_18

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  • DOI: https://doi.org/10.1007/978-3-031-35969-9_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35968-2

  • Online ISBN: 978-3-031-35969-9

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