Do Development Strategies Influence the Performance of Mobile Apps? Market Status Matters

Bei Luo, Xiaoke Zhang, Lele Kang, Qiqi Jiang

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

There is substantial academic interest in modeling the determinants of mobile apps’ success. However, few relative researches explored the impact of development strategies and market status of mobile apps on their market performance. This paper adopted text mining technique and Boston Consulting Group (BCG) Matrix to measure the divergence of a development strategy and market status, respectively. Furthermore, we construct a multivariable linear regression model of performance of apps using data from five mobile platforms: Mumayi, Baidu mobile assistant, 360 mobile assistant, Eoemarket, and App China. The result shows that apps of Stars require convergent development strategies to attract potential consumers while more generally, the divergent development strategies benefit apps in other quadrants of the BCG Matrix, namely Cash Cows, Problem Children and Dogs.

Original languageEnglish
Title of host publicationHCI in Business, Government and Organizations. Information Systems and Analytics - 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsFiona Fui-Hoon Nah, Keng Siau
Number of pages12
Place of PublicationCham
PublisherSpringer
Publication date14 Jun 2019
Pages83-94
ISBN (Print)9783030223373
DOIs
Publication statusPublished - 14 Jun 2019
Event6th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 26 Jul 201931 Jul 2019

Conference

Conference6th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period26/07/201931/07/2019
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11589
ISSN0302-9743

Keywords

  • BCG Matrix
  • Development strategy
  • Mobile app performance

Cite this

Luo, B., Zhang, X., Kang, L., & Jiang, Q. (2019). Do Development Strategies Influence the Performance of Mobile Apps? Market Status Matters. In F. F-H. Nah, & K. Siau (Eds.), HCI in Business, Government and Organizations. Information Systems and Analytics - 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 83-94). Cham: Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.. 11589 https://doi.org/10.1007/978-3-030-22338-0_7
Luo, Bei ; Zhang, Xiaoke ; Kang, Lele ; Jiang, Qiqi. / Do Development Strategies Influence the Performance of Mobile Apps? Market Status Matters. HCI in Business, Government and Organizations. Information Systems and Analytics - 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. editor / Fiona Fui-Hoon Nah ; Keng Siau. Cham : Springer, 2019. pp. 83-94 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11589).
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abstract = "There is substantial academic interest in modeling the determinants of mobile apps’ success. However, few relative researches explored the impact of development strategies and market status of mobile apps on their market performance. This paper adopted text mining technique and Boston Consulting Group (BCG) Matrix to measure the divergence of a development strategy and market status, respectively. Furthermore, we construct a multivariable linear regression model of performance of apps using data from five mobile platforms: Mumayi, Baidu mobile assistant, 360 mobile assistant, Eoemarket, and App China. The result shows that apps of Stars require convergent development strategies to attract potential consumers while more generally, the divergent development strategies benefit apps in other quadrants of the BCG Matrix, namely Cash Cows, Problem Children and Dogs.",
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Luo, B, Zhang, X, Kang, L & Jiang, Q 2019, Do Development Strategies Influence the Performance of Mobile Apps? Market Status Matters. in FF-H Nah & K Siau (eds), HCI in Business, Government and Organizations. Information Systems and Analytics - 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Springer, Cham, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11589, pp. 83-94, 6th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019, Orlando, United States, 26/07/2019. https://doi.org/10.1007/978-3-030-22338-0_7

Do Development Strategies Influence the Performance of Mobile Apps? Market Status Matters. / Luo, Bei; Zhang, Xiaoke; Kang, Lele; Jiang, Qiqi.

HCI in Business, Government and Organizations. Information Systems and Analytics - 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. ed. / Fiona Fui-Hoon Nah; Keng Siau. Cham : Springer, 2019. p. 83-94 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11589).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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AB - There is substantial academic interest in modeling the determinants of mobile apps’ success. However, few relative researches explored the impact of development strategies and market status of mobile apps on their market performance. This paper adopted text mining technique and Boston Consulting Group (BCG) Matrix to measure the divergence of a development strategy and market status, respectively. Furthermore, we construct a multivariable linear regression model of performance of apps using data from five mobile platforms: Mumayi, Baidu mobile assistant, 360 mobile assistant, Eoemarket, and App China. The result shows that apps of Stars require convergent development strategies to attract potential consumers while more generally, the divergent development strategies benefit apps in other quadrants of the BCG Matrix, namely Cash Cows, Problem Children and Dogs.

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Luo B, Zhang X, Kang L, Jiang Q. Do Development Strategies Influence the Performance of Mobile Apps? Market Status Matters. In Nah FF-H, Siau K, editors, HCI in Business, Government and Organizations. Information Systems and Analytics - 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Cham: Springer. 2019. p. 83-94. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11589). https://doi.org/10.1007/978-3-030-22338-0_7