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![loading](/sites/all/modules/hf_eds/images/loading.gif)
EL ÍNDICE GAFAM: MIDIENDO EL PODER DE LAS PLATAFORMAS. (Spanish)
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- Author(s): O'Gorman, Patricio
- Source:
Palermo Business Review; oct2022, Issue 25, p11-22, 12p- Subject Terms:
- Source:
- Additional Information
- Alternate Title: GAFAM INDEX: MEASURING THE POWER OF PLATFORMS. (English)
- Abstract: For over three decades technology, understood as a combination of consumer devices connected to the internet, have gathered increasing importance in our personal and professional lives. The five companies known as GAFAM (Google, Apple, Facebook, Amazon and Microsoft) represent several business domains like advertising, hardware, social networks, e-commerce and software, which represent an excellent indicator to understand the impact on our lives. At times like today, when their legitimacy in strongly questioned with anti-trust accusations and lawsuits based on potential anti-competitive behavior in several industries, it is critical to better understand the source of their enormous power. The GAFAM Index in a statistical construct invented by the author to measure the evolution of the power of the 5 most representative technological platforms of our times and offers a relative score based on economic, market and organizational dimensions. The value of the index is an average of five sub-variables, and its evolution over time is probably the single most important insight it offers. The dimensions include revenue, operating revenue and market capitalization, both in absolute and relative terms and with relation to the amount of employees. A higher value represents better performance (economic, market and/or organizational). A lower value represents lower performance. The index is measured both as a group (GAFAM) and individually to understand the power of each company and compare it to its peers and to past values. The GAFAM Index is a proxy to measure the power of platforms for the five companies together and individually over time. It helps us understand if the GAFAM increase or reduce their power and how each company performed within the group. [ABSTRACT FROM AUTHOR]
- Abstract: Hace ya más de tres décadas que la tecnología, entendida como una combinación entre dispositivos y conectividad a internet, toma cada vez mayor importancia en nuestras vidas personales y profesionales. Las GAFAM (por las iniciales de Google, Apple, Facebook, Amazon y Microsoft) representan dimensiones de publicidad, dispositivos, redes sociales, comercio electrónico y venta de software, que son un excelente indicador para entender su impacto en nuestras vidas. En estos momentos en que se cuestiona fuertemente su legitimidad de con acusaciones anti-monopolio y litigios alrededor de prácticas anticompetitivas en diversos mercados, es muy bueno entender de donde surge su poder en términos más puntuales. El Índice GAFAM es una construcción estadística de autoría propia para medir la evolución del poder de las 5 plataformas tecnológicas más representativas de nuestros tiempos, y provee un puntaje relativo basado en dimensiones económicas, bursátiles y organizacionales. El valor en sí es un promedio de distintas sub-variables, y lo que importa mayormente es su evolución en el tiempo. Las variables analizadas tienen que ver principalmente con su facturación, rentabilidad y valor de capitalización bursátil; y tanto de manera absoluta como relativa, en relación con su cantidad de empleados. Un valor más alto, significa un mejor rendimiento (económico, bursátil y/u organizacional). Un valor más bajo, significa un peor rendimiento. Se miden las empresas en forma grupal e individual para entender el nivel de su poder, tanto comparada contra sí misma en años anteriores como frente a sus pares. El Índice GAFAM representa una aproximación a medir el poder de las plataformas, tanto grupal, como de cada empresa y a lo largo del tiempo. Nos ayuda a entender si las GAFAM incrementan o reducen su poder, y como se comportó cada una. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Palermo Business Review is the property of Universidad de Palermo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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