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http://dx.doi.org/10.7838/jsebs.2020.25.3.015

Categorizing Sub-Categories of Mobile Application Services using Network Analysis: A Case of Healthcare Applications  

Ha, Sohee (Seoul National University of Science and Technology)
Geum, Youngjung (Dept. of Industrial & Systems Engineering, Seoul National University of Science and Technology)
Publication Information
The Journal of Society for e-Business Studies / v.25, no.3, 2020 , pp. 15-40 More about this Journal
Abstract
Due to the explosive growth of mobile application services, categorizing mobile application services is in need in practice from both customers' and developers' perspectives. Despite the fact, however, there have been limited studies regarding systematic categorization of mobile application services. In response, this study proposed a method for categorizing mobile application services, and suggested a service taxonomy based on the network clustering results. Total of 1,607 mobile healthcare services are collected through the Google Play store. The network analysis is conducted based on the similarity of descriptions in each application service. Modularity detection analysis is conducted to detects communities in the network, and service taxonomy is derived based on each cluster. This study is expected to provide a systematic approach to the service categorization, which is helpful to both customers who want to navigate mobile application service in a systematic manner and developers who desire to analyze the trend of mobile application services.
Keywords
Service Taxonomy; Text Mining; Service Categorization; Mobile Application Service; Network Analysis; Healthcare Service;
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Times Cited By KSCI : 2  (Citation Analysis)
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