Author:
Orduña-Malea Enrique,Delgado López-Cózar Emilio,Serrano-Cobos Jorge,Romero Nuria Lloret
Abstract
Purpose
– It is common for an international company to have different brands, products or services, information for investors, a corporate blog, affiliates, branches in different countries, etc. If all these contents appear as independent additional web domains (AWDs), the company should be represented on the web by all these web domains, since many of these AWDs may acquire remarkable performance that could mask or distort the real web performance of the company, affecting therefore on the understanding of web metrics. The purpose of this paper is to determine the amount, type, web impact and topology of the AWDs in commercial companies in order to get a better understanding on their complete web impact and structure.
Design/methodology/approach
– The set of companies belonging to the Spanish IBEX-35 stock index has been analysed as testing bench. The authors proceeded to identify and categorise all AWDs belonging to these companies, and to apply both web impact (web presence and visibility) and network metrics.
Findings
– The results show that AWDs get a high web presence but relatively low web visibility, due to certain opacity or less dissemination of some AWDs favoring its isolation. This is verified by the low network density values obtained, that occur because AWDs are strongly connected with the corporate domain (although asymmetrically), but very weakly linked each other.
Research limitations/implications
– The categories used to classify the various AWD, although they are clearly distinguishable conceptually, have certain limitations in practice, since they depend on the form adopted by companies to publish certain content or to provide certain services or products. Otherwise, the use of web indicators presents certain problems of accuracy that could be softened if applied with caution and in a relational basis.
Originality/value
– Although the processes of AWDs creation and categorisation are complex (web policy seems not to be driven by a defined or conscious plan), their influence on the web performance of IBEX 35 companies is meaningful. This research measures the AWDs influence on companies under webometric terms for the first time.
Subject
Library and Information Sciences,Computer Science Applications,Information Systems
Reference31 articles.
1. Aguillo, I.F.
,
Granadino, B.
,
Ortega, J.L.
and
Prieto, J.A.
(2006), “Scientific research activity and communication measured with cybermetrics indicators”,
Journal of the American Society for Information Science and Technology
, Vol. 57 No. 10, pp. 1296-1302.
2. Estudio de Comunicación
(2013), “Presencia de las empresas del IBEX 35 en la Web 2.0”, available at: www.estudiodecomunicacion.com/extranet/wp-content/uploads/2013/09/ESTUDIO%20IBEX%2035%20EN%20LA%20WEB%202.0.pdf (accessed 2 April 2015).
3. Guillamón-Saorín, E.
and
Martínez-López, F.J.
(2013), “Corporate financial communication and the internet: manipulating investor audiences?”,
Online Information Review
, Vol. 37 No. 4, pp. 518-537.
4. Orduña-Malea, E.
,
Torres-Salinas, D.
and
Delgado López-Cózar, E.
(in press), “Hyperlinks embedded in Twitter as a proxy for total external inlinks to international university websites”,
Journal of the Association for Information Science and Technology
.
5. Reid, E.
(2003), “Using web link analysis to detect and analyze hidden web communities”, in
Vriens, D.
(Ed.),
Information and Communications Technology for Competitive Intelligence
, Ideal Group, Hilliard, OH, pp. 57-84.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Web Domain as a Proxy for Intangibles in Measuring the MNEs’ Internationalization;The Dynamics of Intellectual Capital in Current Era;2021
2. Hit count estimate variability for website-specific queries in search engines;Aslib Journal of Information Management;2018-03-13
3. The web impact scattering problem;Cybermetric Techniques to Evaluate Organizations Using Web-Based Data;2018
4. Measuring (private company activity) on the web;Cybermetric Techniques to Evaluate Organizations Using Web-Based Data;2018
5. From Universities to Private Companies;Advances in Educational Marketing, Administration, and Leadership;2017