60 research outputs found

    The illusion of choice: an exploratory study looking at the top 10 food companies in Australia and their brand connections

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    © 2018 The Authors. Objective: To identify the brands owned by each of the 10 top grossing food companies operating in Australia and visually represent them on an infographic. Methods: Desktop research was conducted to determine Australia's 10 largest food companies based on revenue. Brand ownership for each of the companies was traced through financial records and company publications. This information was then visually documented in the form of an infographic ‘food web’ to clearly illustrate company and brand ownership. Results: Fonterra, Coca-Cola Amatil, Lion, Murray Goulburn, George Weston Foods, Wilmar, Nestle, Mondelez, Parmalat and Asahi were determined as the top 10 food companies operating in Australia. The food web illustrated that brand ownership ranged from 75 (Nestle) to four (Fonterra) brands per company. Conclusions: The food web illustrates the dominance of each of these major companies within Australia and shows how their diverse brand ownership limits consumer choice. Implications for public health: This study expands on current knowledge and further defines the breadth of market influence that the top 10 food companies have within the Australian food context, and how they use their brand power to create an illusion of choice for consumers. The food web will assist in promoting transparency of brand ownership in the Australian food market, therefore allowing consumers to make an informed decision about the food they purchase, and will allow community and other organisations to make an informed decision about which companies they form partnerships with

    The future outlook for portuguese travel agents

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    This paper adopts a three-stage procedure to measure and test the productivity and efficiency standings of Portuguese travel agents during 2005–2007. In the first stage, the authors use a bootstrapped Malmquist index approach to obtain estimates of total productivity growth. In the second stage, they obtain year-by-year efficiency scores, using a bootstrapped DEA model. A bootstrapped truncated regression is then adopted in the third stage to identify the covariates that explain technical efficiency. Results from a sample of 25 agents indicate that, on average, Portuguese agents experienced an increase in productivity over the period of the study. On the efficiency side, however, most travel agents were found to be operating at a high degree of inefficiency. Differences in productivity and efficiency between individual travel agents appeared to be related to factors such as market share and management style. The results are discussed and policy implications are derived.info:eu-repo/semantics/publishedVersio

    The Future Outlook for Portuguese Travel Agents

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