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

Bei Luo; Xiaoke Zhang; Lele Kang; Qiqi Jiang

doi:10.1007/978-3-030-22338-0_7

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

Bei Luo, Xiaoke Zhang^*, Lele Kang, Qiqi Jiang

^*Corresponding author for this work

Department of Digitalization

Nanjing University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	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
Editors	Fiona Fui-Hoon Nah, Keng Siau
Number of pages	12
Place of Publication	Cham
Publisher	Springer
Publication date	14 Jun 2019
Pages	83-94
ISBN (Print)	9783030223373
DOIs	https://doi.org/10.1007/978-3-030-22338-0_7
Publication status	Published - 14 Jun 2019
Event	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 Duration: 26 Jul 2019 → 31 Jul 2019 Conference number: 6

Conference

Conference	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
Number	6
Country/Territory	United States
City	Orlando
Period	26/07/2019 → 31/07/2019
Other	Held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11589
ISSN	0302-9743

Keywords

BCG Matrix
Development strategy
Mobile app performance

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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). 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 et al. / 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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title = "Do Development Strategies Influence the Performance of Mobile Apps?: Market Status Matters",

abstract = "There is substantial academic interest in modeling the determinants of mobile apps{\textquoteright} 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 et al.

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 proceeding › Article in proceedings › Research › peer-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). doi: 10.1007/978-3-030-22338-0_7