Customer-Based Brand Equity (CBBE) Model

Two questions often arise regarding brands: ‘What makes a brand strong?’ and ‘How do you build a strong brand?’ To answer these questions, this section introduces the customer-based brand equity (CBBE) model. This model incorporates theoretical advances and managerial practices in understanding and influencing consumer behaviour. Although useful perspectives concerning brand equity have been put forth, the CBBE model provides a unique point of view as to what brand equity is and how it should be built, measured and managed. The Customer-Based Brand Equity model approaches brand equity from the perspective of the consumer — whether this be an individual or an organization. Understanding the needs and wants of consumers and organizations and devising products and campaigns to satisfy them Continue reading

Case Study: L’Oreal Marketing Strategies in India

Before the facial cosmetics, L’Oreal was known as a hair-color formula developed by French chemist Eugene Schueller in 1907. It was then known as”Aureole”. Schueller formulated and manufactured his own productswhich were sold to Parisian hairdressers. It was only in 1909 that Schueller registered his company as “Societe Francaise de Teintures Inoffensives pour Cheveus,”the future L’Oreal. Scheuller began exporting his products, which was then limited to hair-coloring products. There were 3 chemists employed in 1920. In 1950, the research teams increased to 100 and reached 1,000 by 1984. Today, research teams are numbered to 2,000 and are still expected to increase in the near future. Through agents and consignments, Scheuller further distributed his products in the United States of America, Continue reading

Research Variables – Dependent and Independent Variables

Research is the foundation of any science, including both hard sciences such as physics, chemistry and the social sciences such as psychology, management and education. The steps and process involved in the research can vary depending on the type of research being done and the hypothesis being tested. Research methods such as Naturalistic observation and surveys are often less structured, where as experimental methods are more structured. Depending upon what is observed or experienced, new theories are developed. There are aspects of a theory or aspects of a study that can change or vary as part of interaction within the theory, defined as variables. Variables are anything that can change of effect the results of a study. In an experimental Continue reading

Scope of Grid Computing

EXPLOITING UNDERUTILIZED RESOURCES The easiest use of grid computing is to run an existing application on a different machine. The machine on which the application is normally run might be unusually busy due to an unusual peak in activity. The job in question could be run on an idle machine elsewhere on the grid. There are at least two prerequisites for this scenario. First, the application must be executable remotely and without undue overhead. Second, the remote machine must meet any special hardware, software, or resource requirements imposed by the application. In most organizations, there are large amounts of underutilized computing resources. Most desktop machines are busy less than 5 percent of the time. In some organizations, even the server Continue reading

Grid Computing: Levels of Deployment

Grid computing is the application of several computers to a single problem at the same time – usually to a scientific or technical problem that requires a great number of computer processing cycles or access to large amounts of data. Computational grids that couple geographically distributed resources are becoming the effective computing platform for solving large-scale problems in science, engineering, and commerce. Grid computing can be divided into three logical levels of deployment: Cluster Grids, Enterprise Grids, and Global Grids. Cluster Grids The simplest form of a grid, a Cluster Grid consists of multiple systems interconnected through a network. Cluster Grids may contain distributed workstations and servers, as well as centralized resources in a datacenter environment. Typically owned and used Continue reading

Introduction to Grid Computing

The popularity of the Internet as well as the availability of powerful computers and high-speed network technologies as low-cost commodity components is changing the way we use computers today. These technology opportunities have led to the possibility of using distributed computers as a single, unified computing resource, leading to what is popularly known as Grid computing. Grid computing is a term referring to the combination of computer resources from multiple administrative domains to reach a common goal. The grid can be thought of as a distributed system with non-interactive workloads that involve a large number of files. What distinguishes grid computing from conventional high performance computing systems such as cluster computing is that grids tend to be more loosely coupled, Continue reading

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