Automated Competitor Analysis Using Big Data Analytics: Evidence from the Fitness Mobile App Business: Evidence from the Fitness Mobile App Business

Liang Guo; Ruchi Sharma; Lei Yin; Ruodan Lu; Ke Rong

doi:10.1108/BPMJ-05-2015-0065

Automated Competitor Analysis Using Big Data Analytics: Evidence from the Fitness Mobile App Business: Evidence from the Fitness Mobile App Business

Liang Guo, Ruchi Sharma, Lei Yin, Ruodan Lu, Ke Rong

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	735-762
Journal	Business Process Management Journal
Volume	23
Issue number	3
DOIs	https://doi.org/10.1108/BPMJ-05-2015-0065
Publication status	Published - 2017

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This article is currently in press. Full citation details including DOI will be uploaded when available.

The full text is currently unavailable on the repository.
This paper is a part of the on-going research study at the Center for Innovation and Entrepreneurship -NEOMA Business School, Rouen France. This paper has employed the technique of novel method of machine learning for big data analysis and hence for developing an automated competitor analysis tool.

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10.1108/BPMJ-05-2015-0065

http://www.emeraldinsight.com/journal/bpmj

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@article{05cc3252103b4a06a2168451d4c8a9b8,

title = "Automated Competitor Analysis Using Big Data Analytics: Evidence from the Fitness Mobile App Business: Evidence from the Fitness Mobile App Business",

author = "Liang Guo and Ruchi Sharma and Lei Yin and Ruodan Lu and Ke Rong",

note = "This article is currently in press. Full citation details including DOI will be uploaded when available. The full text is currently unavailable on the repository. This paper is a part of the on-going research study at the Center for Innovation and Entrepreneurship -NEOMA Business School, Rouen France. This paper has employed the technique of novel method of machine learning for big data analysis and hence for developing an automated competitor analysis tool.",

year = "2017",

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T1 - Automated Competitor Analysis Using Big Data Analytics: Evidence from the Fitness Mobile App Business

T2 - Evidence from the Fitness Mobile App Business

AU - Guo, Liang

AU - Sharma, Ruchi

AU - Yin, Lei

AU - Lu, Ruodan

AU - Rong, Ke

N1 - This article is currently in press. Full citation details including DOI will be uploaded when available. The full text is currently unavailable on the repository. This paper is a part of the on-going research study at the Center for Innovation and Entrepreneurship -NEOMA Business School, Rouen France. This paper has employed the technique of novel method of machine learning for big data analysis and hence for developing an automated competitor analysis tool.

PY - 2017

Y1 - 2017

UR - https://www.scopus.com/pages/publications/85021349194

U2 - 10.1108/BPMJ-05-2015-0065

DO - 10.1108/BPMJ-05-2015-0065

M3 - Article

VL - 23

SP - 735

EP - 762

JO - Business Process Management Journal

JF - Business Process Management Journal

IS - 3

ER -

Automated Competitor Analysis Using Big Data Analytics: Evidence from the Fitness Mobile App Business: Evidence from the Fitness Mobile App Business

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