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Exploring website features for business information

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  • Liwen Vaughan

    (University of Western Ontario London)

Abstract

Two previous webometrics studies found a relationship between the number of inlinks to a commercial site and the company's business performance measures. Thus inlink counts to commercial sites could be a potential source of business information. However, those studies examined top ranking information technology companies in the U.S. and China. Whether the above-mentioned relationship holds for all companies regardless of ranking and in other countries is unknown. The study reported in this paper investigated this question. The study includes all information technology companies in the U.S. and Canada and gathered both business performance data and website data for these companies. It found significant correlation between business performance measures and inlinks to the company websites. The correlation was still significant even after the size of the company and the website age were accounted for. The conclusion is robust to the search engine used for data collection. Data collection issues for webometrics research were also explored.

Suggested Citation

  • Liwen Vaughan, 2004. "Exploring website features for business information," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 467-477, November.
  • Handle: RePEc:spr:scient:v:61:y:2004:i:3:d:10.1023_b:scie.0000045122.93018.2a
    DOI: 10.1023/B:SCIE.0000045122.93018.2a
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    References listed on IDEAS

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    1. Liwen Vaughan & Mike Thelwall, 2003. "Scholarly use of the Web: What are the key inducers of links to journal Web sites?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(1), pages 29-38, January.
    2. Mike Thelwall & David Wilkinson, 2003. "Graph structure in three national academic Webs: Power laws with anomalies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(8), pages 706-712, June.
    3. Alastair Smith & Mike Thelwall, 2002. "Web Impact Factors for Australasian universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 363-380, July.
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    Cited by:

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    2. Enrique Orduna-Malea & Selenay Aytac, 2015. "Revealing the online network between university and industry: the case of Turkey," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1849-1866, December.
    3. Stine Labes & Nicolai Hanner & Ruediger Zarnekow, 2017. "Successful Business Model Types of Cloud Providers," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(4), pages 223-233, August.
    4. Tranos, Emmanouil & Incera, Andre Carrascal & Willis, George, 2022. "Using the web to predict regional trade flows: data extraction, modelling, and validation," OSF Preprints 9bu5z, Center for Open Science.
    5. Liwen Vaughan, 2016. "Uncovering information from social media hyperlinks: An investigation of twitter," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1105-1120, May.
    6. Heiko Thimm & Karsten Boye Rasmussen & Wolfgang Gohout, 2016. "Website quality and performance indicators including ratio numbers – A study of German and Danish SME companies," Journal of Business, LAR Center Press, vol. 1(3), pages 22-36, July.
    7. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
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    10. István Szûts & Gábor László, 2006. "Exploring the World Wide Web," Proceedings-4th International Conference on Management, Enterprise and Benchmarking (MEB 2006),, Óbuda University, Keleti Faculty of Business and Management.

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