Links to commercial websites as a source of business information

Liwen Vaughan () and Guozhu Wu
Additional contact information
Liwen Vaughan: University of Western Ontario
Guozhu Wu: Shanghai Library/ISTIS

Scientometrics, 2004, vol. 60, issue 3, No 19, 487-496

Abstract: Abstract Websites of China's top 100 information technology (IT) companies were examined. Link count to a company's website was found to correlate with the company's revenue, profit, and research and development expenses. This suggests that Web hyperlinks to commercial sites can be a business performance indicator and thus a source of business information. This information is useful for Web business intelligence and Web data mining. As a comparison to IT companies, China's top 100 privately owned companies were also studied. No relationship between link count and the business performance measure was found for these companies due probably to the heterogeneous nature of this group. Data collection issues for webometrics research were also explored in the study.

Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://link.springer.com/10.1023/B:SCIE.0000034389.14825.bc 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:scient:v:60:y:2004:i:3:d:10.1023_b:scie.0000034389.14825.bc

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1023/B:SCIE.0000034389.14825.bc

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().