Publicado

2015-04-01

El empleo de la Webmetría para el análisis de los indicadores de desempeño y posición financiera de la empresa: un análisis exploratorio en diversos sectores económicos de los Estados Unidos

The use of Webometrics for Financial Performance Analysis and Financial Position Indicators: Exploratory Study of Different Economic Sectors in the United States.

O emprego da webometria para a análise dos indicadores de desempenho e posição financeira da empresa: uma análise exploratória em diversos setores económicos dos Estados Unidos

Palabras clave:

Webmetría, desempeño financiero, minería de datos, nuevas tecnologías, análisis económico. (es)
Webometrics, financial performance, data mining, new technologies, economic analysis (en)
Webometria, desempenho financeiro, mineração de dados, novas tecnologias, análise econômica (pt)

Descargas

Autores/as

  • Esteban Romero-Frías Universidad de Granada
  • Limen Vaughan University of Western Ontario (UWO)
  • Lázaro Rodríguez Ariza Universidad de Granada

El desarrollo de Internet a lo largo de las dos últimas décadas ha dado lugar a una nueva disciplina que permite estudiar la Web desde un punto de vista cuantitativo: la webmetría. La aplicación de técnicas webmétricas al estudio de empresas apunta a la posible existencia de relaciones entre el número de enlaces que recibe un sitio web corporativo y determinadas variables económico-financieras. La incipiente evidencia encontrada se limita, en todo caso, a empresas pertenecientes a sectores tecnológicos que, por su propia naturaleza, cuentan con una fuerte presencia en la Red. El presente trabajo, de carácter exploratorio, extiende el análisis a diversos sectores económicos de los Estados Unidos, confirmando la existencia de una relación significativa entre las variables expuestas. Esto abre nuevas posibilidades de investigación en el ámbito empresarial a partir del empleo de la información extraída de la estructura de enlaces de la Web.

Through the development of the Internet over the past two decades, a new discipline that allows the study of the Web from a quantitative point of view has arisen: webometrics. Applying webometrics techniques to management studies, points to the possible existence of a relationship between the number of inlinks that a corporate website receives, and certain economic and financial variables. Bearing in mind that the emerging evidence found is limited to companies from the technological sector, that indeed by its own nature has a strong presence on the Web, this exploratory study provides an extension in the analysis of webometrics to various economic sectors in the United states, confirming the existence of a significant relationship between the exposed variables, and thus opening new possibilities for research in the field of management by using Web-link information.
O desenvolvimento da internet ao longo das duas últimas décadas deu lugar a uma nova disciplina que permite estudar a web a partir de um ponto de vista quantitativo: a webometria. A aplicação de técnicas webométricas ao estudo de empresas aponta para a possível existência de relações entre o número de links que recebe um site corporativo e determinadas variáveis econômico-financeiras. A incipiente evidência encontrada limita-se, em todo caso, a empresas pertencentes a setores tecnológicos que, por sua própria natureza, contam com uma forte presença na Rede. O presente trabalho, de carácter exploratório, estende a análise a diversos setores econômicos dos Estados Unidos, confirmando a existência de uma relação significativa entre as variáveis expostas. Isso abre novas possibilidades de pesquisa no âmbito empresarial a partir do emprego da informação extraída da estrutura de links da web.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Aguillo, I.F., Granadino, B., Ortega, J.L., & Prieto, J.A. (2006). Scientific research activity and communication measured with Cybermetrics indicators. Journal of the American Society for Information Science and Technology, 57(10), 1296-1302.

Aguillo, I.F., Ortega, J. L., Prieto, J. A., & Granadino, B. (2007). Indicadores Web de actividad cientifica formal e informal en Latinoamérica. Revista Española de Documentación Científica, 30(1): 49-60.

Arroyo, N., Ortega, J.L., Pareja, V. Prieto, J.A., & Aguillo, I. (2005). "Ci-bermetria. Estado de la cuestión". En: Novenas Jornadas Españolas de Documentación. Madrid: FESABID 2005. 14-15 de abril de 2005.

Bar-Ilan, J. (2001). Data collection methods on the Web for informetric purposes–A review and analysis. Scientometrics, 50(1), 7-32.

Battelle, J. (2005). The Search: How Google and Its Rivals Rewrote the Rules of Business and Transformed Our Culture. London: Portfolio.

Berners, T. (1999). Weaving the Web. San Francisco: Harper.

Bjõrneborn, L. (2004). Small-world link structures across an academic Web space: A library and information science approach. Doctoral dissertation. Royal School of Library and Information Science, Copenhagen, Denmark. Disponible en: http://vip.db.dk/lb/phd/phd-thesis.pdf [consultado el 21 de julio de 2008].

Bjõrneborn, L., & Ingwersen, P. (2004). Toward a basic framework for webometrics. Journal of the American Society for Information Science and Technology, 55(14), 1216-1227.

Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems, 30, 1-7.

Chau, M., Shiu, B., Chan, I., & Chen, H. (2007). Redips: Backlink search and analysis on the Web for business intelligence analysis. Journal of the American Society for Information Science and Technology, 58(3), 351-365.

Chen, D., Hu, N., & Liu, L., (2007). Corporate blogging and firm performance: An empirical study. Proceedings of the International Conference on Wireless Communications, Networking and Mobile Computing (WiCom 2007) (pp. 6158-6161). Washington, DC: IEEE.

Choi, H., & Varian, H. (2009). Predicting the Present with Google Trends. Disponible en: http://google.com/googleblogs/pdfs/google_predicting_the_present.pdf [consultado el 10 de mayo de 2009].

Choi, H., & Varian, H. (2012). Predicting the Present with Google Trends. Economic Record, 88, 2-9.

Chu, H., He, S., & Thelwall, M. (2002). Library and information science schools in Canada and USA: A Webometric perspective. Journal of Education for Library and Information Science, 43, 110-125.

Da, Z., Engelberg, J., & Gao, P. (2011). In Search of Attention. Journal of Finance, 66(5), 1461-1499.

Das, S.R., & Sisk, J. (2005). Financial communities. Journal of Portfolio Management, 31(4), 112-123.

Faba, C., Guerrero, V., & Moya, F. (2004). Fundamentosy técnicas cibermé-tricas. Mérida: Junta de Extremadura. Disponible en: http://www.juntaex.es/consejenas/economia-comercio-innovacion/dg-tele-comunicaciones-sociedad-informacion/Publicaciones/common/tecnicascibermetricas.pdf [consultado el 21 de julio de 2008].

Garfield, E. (1979). Citation indexing: Its theory and applications in science, technology and the humanities. New York: Wiley, Interscience.

Ginsberg, J., Mohebbi, M.H., Patel, R.S., Brammer, L., Smolinski, M.S., & Brilliant, L. (2009). Detecting influenza epidemics using search engine query data. Nature, 457, 1012-1014 (February 19, 2009).

Google blog (2008). We knew the web was big... Disponible en: http://googleblog.blogspot.com/2008/07/we-knew-web-was-big.html. [consultado el 14 de enero de 2009].

Holmberg, K. (2009). Webometric Network Analysis. Mapping Cooperation and Geopolitical Connections between Local Government Administration on the Web. Doctoral dissertation. Ábo: Ábo Aka-demi University Press. Disponible en: http://kimholmberg.fi/phd/ThesisFinal.pdf [consultado el 30 de noviembre de 2009].

Huang, H., & Penna, N.D. (2009). Constructing Consumer Sentiment Index for U.S. Using Google Searches. Technical report, University of Alberta. Disponible en: http://econpapers.repec.org/paper/risalbaec/2009_5f026.htm [consultado el 17 de enero de 2013].

Ingwersen, P. (1998). The calculation of Web Impact factors. Journal of Documentation, 54(2), 236-243.

Kholodilin, K. A., Podstawski, M., & Siliverstovs, B. (2010). Do Google searches help in nowcasting private consumption?: a real-time evidence for the US. KOF Working Papers. Disponible en: http://www.econbiz.de/en/search/detailed-view/doc/all/do-google-searches-help-in-nowcasting-private-consumption-a-real-time-evidence-for-the-us-kholodilin-konstantin/10008729133 [consultado el 21 de enero de 2013].

Kirkpatrick, D., Roth, D., & Ryan, O. (2005) (10 de enero). Why there's no escaping the blog: Freewheeling bloggers can boost your pro-duct–Or destroy it. Fortune, 44.

Lambert, F. (2008). Rewriting the "Rules" of Online Networked Community Information Services: A Case Study of the mycommunityinfo.ca Model. Canada : PhD dissertation, University of Western Ontario.

Li, X. (2003). A review of the development and application of the Web impact factor. Online Information Review, 27(6), 407-417.

Liu, B., Ma, Y., & Yu, P.S. (2001). Discovering unexpected information from your competitors'Web sites. Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 144-153). NewYork: ACM Press.

Machill, M., Beiler, M., & Zenker, M. (2008). Search-engine research: a European-American overview and systematization of an interdisciplinary and international research field. Media, Culture & Society, 30(5), 591-608.

O'Reilly, T. (2005). What is Web 2.0. Design Patterns and Business Models for the Next Generation of Software. Disponible en: http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html [consultado el 17 de enero de 2009].

Preis, T., Reith, D., & Eugene, H. (2010). Complex Dynamics of Our Economic Life on Different Scales: Insights from Search Engine Query Data. Philosophical Transactions of the Royal Society of London, 368, 5707-5719. Disponible en: http://rsta.royalsocietypublis-hing.org/content/368/1933/5707 [consultado el 17 de enero de 2013].

Radinsky, K., Davidovich, S., & Markovitch, S. (2009). Predicting the News of Tomorrow Using Patterns in Web Search Queries. Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI08). Disponible en: http://portal.acm.org/citation.cfm?id=1487070 [consultado el 23 de enero de 2013].

Ravid, G., Bar, J., Rafaeli, S., & Baruchson, S. (2007). Popularity and fin-dability through log analysis of search terms and queries: The case of a multilingual public service Web site. Journal of Information Science, 33(5), 567-583.

Reid, E. (2003). Using Web link analysis to detect and analyze hidden Web communities, en: D. Vriens (Ed.). Information and communications technology for competitive intelligence, Hilliard, OH: Ideal Group, 57-84.

Romero, E. (2010). Una perspectiva webmétrica del estudio de empresas. Aplicación al estudio de variables financieras en empresas con presencia en la Web. Tesis doctoral. Universidad de Granada.

Smith, A., & Thelwall, M. (2002). Web Impact Factors for Australasian universities. Scientometrics, 54, 363-380.

Tang, R., & Thelwall, M. (2003). U.S. Academic departmental web-site interlinking in the United States: Disciplinary differences. Library & Information Science Research, 25(4), 437-458.

Tang, R., & Thelwall, M. (2004). Patterns of national and international Web inlinks to US academic departments: An analysis of disciplinary variations. Scientometrics, 60(3), 475-485.

Thelwall, M. (2000). Web impact factors and search engine coverage. Journal of Documentation, 56(2), 185-189.

Thelwall, M. (2001). Extracting macroscopic information from Web links. Journal of the American Society for Information Science and Technology, 52(13), 1157-1168.

Thelwall, M. (2002). Evidence for the existence of geographic trends in university Web site interlinking. Journal of Documentation, 58(5), 563-574.

Thelwall, M. (2008). Bibliometrics to webometrics. Journal of Information Science, 34(4), 605-621.

Thelwall, M. (2009). Introduction to Webometrics. Quantitative Web Research for the Social Sciences. Morgan & Claypool.

Thelwall, M., Vaughan, L., & Bjõrneborn, L. (2005). Webometrics, en: B. Cronin, (Ed.) Annual review of information science and technology, Medford, NJ: Information Today, 81-135.

Thelwall, M., Vaughan, L., Cothey, V., Li, X., & Smith, A.G. (2003). Which academic subjects have most online impact? A pilot study and a new classification process. Online Information Review, 27(5), 333-343.

Vaughan, L. (2004a). Web hyperlinks reflect business performance–A study of US and Chinese IT companies. Cañadian Journal of Information and Library Science, 28(1), 17-31.

Vaughan, L. (2004b). Exploring website features for business information. Scientometrics, 61 (3), 467-477.

Vaughan, L. (2004c). New measurements for search engine evaluation proposed and tested. Information Processing & Management, 40(4), 677-691.

Vaughan, L. (2009). Statistical Methods for the Information Professional. Information Today. Medford, New Jersey.

Vaughan, L., & Hysen, K. (2002). Relationship between links to journal web sites and Impact Factors. ASLIB Proceedings: New Information Perspectives, 54, 356-361.

Vaughan, L., & Romero, E. (2010). Web hyperlink patterns and the financial variables of the global banking industry. Journal of Information Science, 36(4), 530-541.

Vaughan, L., & Thelwall, M. (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, 54, 29-38.

Vaughan, L., & Wu, G.Z. (2004). Links to commercial websites as a source of business information. Scientometrics, 60(3), 487-496.

Vaughan, L., & You, J. (2009). Keyword enhanced Web structure mining for business intelligence. Lecture Notes in Computer Science, 4879, 161-168.

Vaughan, L., Tang, J., & Du, J. (2010). Constructing Business Profiles Based on Keyword Patterns on Web Sites. Journal of American Society for Information Science, 61(6), 1120-1129.

Vosen, S., & Schmidt, T. (2011). Forecasting private consumption: survey-based indicators vs. Google trends. Journal of Forecasting, 30(6), 565-578.

Vreeland, R.C. (2000). Law libraries in hyperspace: A citation analysis of World Wide Web sites. Law Library Journal, 92(1), 9-25.

Wilkinson, D., Harries, G., Thelwall, M., & Price, E. (2003). Motivations for academic web site interlinking: evidence for the web as a novel source of information on informal scholarly communication. Journal of Information Science, 29(1), 59-66.

Wormell, I. (2001). Informetrics and Webometrics for measuring impact, visibility, and connectivity in science, politics, and business. Competitive Intelligence Review, 12(1), 12-23.

Wu, L., & Brynjolfsson, E. (2010). The Future of Prediction: How Google Searches Foreshadow Housing Prices and Sales. Technical report, MIT. Disponible en: http://www.nber.org/confer/2009/PRf09/Wu_Brynjolfsson.pdf [consultado el 17 de enero de 2013].