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Identifying and structuring service functions of mobile applications in Google’s Android Market

Author

Listed:
  • Yongyoon Suh

    (Pukyong National University)

  • Yongtae Park

    (Seoul National University)

Abstract

Recently, mobile applications are considered one of the most opportune issues in mobile industry since the explosive growth of mobile applications has generated the myriad of service functions. In response, it is needed to extract useful information on dominant service functions and structural relationship among the service functions. However, there have been few methods for encapsulating information on major service functions and their relationships. Thus, this study aims at identifying dominant service functions and their structural relationships of mobile applications in Google’s Android Market using frequent pattern (FP)-tree algorithm which retrieves and summarizes frequently used items according to association rules. In this study, the FP-tree algorithm is used for extracting information on service functions in terms of three factors: frequency, association, and hierarchical structure. Using the information of service function tree, the developers refer the systematic and mash-up combinations of service functions to design new mobile applications.

Suggested Citation

  • Yongyoon Suh & Yongtae Park, 2018. "Identifying and structuring service functions of mobile applications in Google’s Android Market," Information Systems and e-Business Management, Springer, vol. 16(2), pages 383-406, May.
    • Handle: RePEc:spr:infsem:v:16:y:2018:i:2:d:10.1007_s10257-017-0366-7
    DOI: 10.1007/s10257-017-0366-7
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    References listed on IDEAS

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    1. Jieun Kim & Yongtae Park & Chulhyun Kim & Hakyeon Lee, 2014. "Mobile application service networks: Apple’s App Store," Service Business, Springer;Pan-Pacific Business Association, vol. 8(1), pages 1-27, March.
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    3. Wang, Juite & Lai, Jung-Yu & Chang, Chih-Hsin, 2016. "Modeling and analysis for mobile application services: The perspective of mobile network operators," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 146-163.
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    5. Grażyna Suchacka & Grzegorz Chodak, 2017. "Using association rules to assess purchase probability in online stores," Information Systems and e-Business Management, Springer, vol. 15(3), pages 751-780, August.
    6. Giachetti, Claudio & Marchi, Gianluca, 2017. "Successive changes in leadership in the worldwide mobile phone industry: The role of windows of opportunity and firms’ competitive action," Research Policy, Elsevier, vol. 46(2), pages 352-364.
    7. Mi Jin Noh & Kyung Tag Lee, 2016. "An analysis of the relationship between quality and user acceptance in smartphone apps," Information Systems and e-Business Management, Springer, vol. 14(2), pages 273-291, May.
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