An Empirical Analysis on Comparing Market Share with Concerns on Companies Measured Through Search Engine Suggests

Takehito Utsuro (), Chen Zhao, Linghan Xu, Jiaqi Li and Yasuhide Kawada
Additional contact information
Takehito Utsuro: University of Tsukuba
Chen Zhao: University of Tsukuba
Linghan Xu: University of Tsukuba
Jiaqi Li: University of Tsukuba
Yasuhide Kawada: Logworks Co., Ltd.

Global Journal of Flexible Systems Management, 2017, vol. 18, issue 1, No 2, 3-19

Abstract: Abstract In this study, we present a method of predicting market share values using search engine data. Given a product-specific domain, we compare the rates of Web searches for different companies supplying similar products and consider them as concerns of those who search for Web pages. In the proposed method, concerns of those who search for Web pages are measured through search engine suggests. We then analyze whether rates of concerns of those who search for Web pages are correlated with the actual market shares. Next, we examine the page view statistics at the kakaku.com site as intermediate statistics and determine their correlation with the rates of concerns of those who search for Web pages and the market shares. The results of the analysis indicate significant correlation. Furthermore, we conduct an empirical study on determining the optimal correlation between the rates of concerns of those who search for Web pages and the market shares, as well as that between the rates of concerns of those who search for Web pages and the page view statistics at the kakaku.com site.

Keywords: Aggregation; Market share; Products genre; Search engine suggest; Topic model (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40171-016-0147-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:gjofsm:v:18:y:2017:i:1:d:10.1007_s40171-016-0147-z

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/40171

DOI: 10.1007/s40171-016-0147-z

Access Statistics for this article

Global Journal of Flexible Systems Management is currently edited by Sushil

More articles in Global Journal of Flexible Systems Management from Springer, Global Institute of Flexible Systems Management
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().