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indicators

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Statistics are not always what they seem

22 September 2005 Written by: Michèle Laliberté

Everyone – those in the industry, government bodies, academics, journalists and more – uses statistics from the World Tourism Organization and Statistics Canada, thereby contributing to the dissemination of this data. However, a closer look at these statistics reveals that things are not always what they seem. Methodological considerations aside, here are a few examples [...]

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Understanding performance evaluation

17 February 2005 Written by: Chantal Neault

In tourism, performance evaluation involves objectively assessing projects completed to date according to a predefined plan, whether this relates to a policy, a program or a strategy. Such an evaluation relies on clearly defined goals, pertinent indicators and a number of information sources that are too often incomplete. Various information sources Databases of strategic information [...]

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Front-line ambassadors: a valuable resource

20 December 2004 Written by: Claude Péloquin

The tourism industry is one sector in which the human element is absolutely vital to delivering the promised brand “experience” the customer expects. This is particularly true in the hotel industry. Employees – who really should be called “front-line ambassadors” – usually handle the initial contact between customers and the organization; these individuals make the [...]

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Travel intentions vs. actual travel

15 July 2004 Written by: Claude Péloquin

The increased number of polls used to determine travel intentions has contributed to the tools used by industry decision-makers. Unfortunately, the existence of more surveys has not necessarily translated into a more accurate portrait of the future. In fact, a look back uncovers major discrepancies between Canadian travel intentions and actual travel. It is common [...]

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The challenge of staff scheduling

30 June 2004 Written by: Claude Péloquin

In the travel industry, the most challenging aspect of staff planning is adjusting the number of available workers to meet tourism demand, which fluctuates widely, depending on the time of year. Managers must therefore be able to predict this demand and use the information to determine the number of employees needed. Cornell University recently examined [...]

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