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schedule business meetings without wasting valuable<br />

time. Service failures, such as late arrivals or<br />

cancellations, can result in significant costs, or<br />

worse, passengers may miss important meetings<br />

altogether.<br />

Although leisure tourists may be less time<br />

sensitive than their business counterparts, service<br />

failures also lead to a lower service quality since<br />

holiday trips may be shortened or impossible to<br />

complete. Thus, transportation providers who offer<br />

high quality, dependable service can expect to<br />

enjoy a competitive advantage over lower quality<br />

service providers. Shippers of freight frequently<br />

want their shipments delivered to a particular place<br />

at a specific time, such as for a restaurant that<br />

uses `just-in-time' purchasing.<br />

Communication is yet another significant dimension<br />

of transportation service quality. A<br />

carrier's ability and willingness to communicate<br />

with tourists or shippers may be extremely<br />

important in terms of the customer's perception<br />

of service quality. Even though a service failure<br />

may occur, if the customer is made aware of the<br />

problem in advance, alternate arrangements can<br />

be made. When no advance notice of problems is<br />

given, they or freight may be stranded for long<br />

periods of time. This may cause serious problems<br />

leading to substantial costs beyond the transportation<br />

expenses, including the possible loss of future<br />

business from the customer.<br />

The carrier's ability and willingness to communicate<br />

with its customers may mean that a tourist<br />

or shipper can avoid surprises, reducing the<br />

potential for having to deal with unexpected<br />

problems. Generally, the more information that<br />

the carrier can communicate to the customer, the<br />

more effective and satisfactory the service becomes.<br />

Thus, transportation service is a multifaceted<br />

concept, and in order to ensure that the service<br />

quality meets the needs of customers, managers<br />

must carefully measure and control all dimensions.<br />

See also: transportation pricing<br />

Further reading<br />

Parasuraman, A., Zeithaml, V. and Berry, L.L.<br />

�1985) À conceptual model of service quality<br />

and its implications for future research', Journal<br />

of Marketing 49�Fall): 41±50. �Suggests that service<br />

quality is best defined in terms of gaps that exist<br />

between customer expectations of service and<br />

their perceptions of the actual service provided.)<br />

Gourdin, K.N. and Kloppenborg, T.J. �1991)<br />

`Identifying service gaps in commercial air<br />

travel: the first step toward quality improvement',<br />

Transportation Journal 31�1): 22±30. �Discusses<br />

commercial airline service and identifies<br />

opportunities for managers to improve service<br />

quality.)<br />

quantitative method<br />

quantitative method 483<br />

JOHN OZMENT, USA<br />

Historically, the sciences and the business fields<br />

have tended to favour quantitative methods. In<br />

statistical analysis, the researcher gathers data and<br />

evaluates it in order to locate trends or correlations.<br />

The researcher begins with a `null hypothesis'<br />

which presupposes no patterns exist; thus, a<br />

flipped coin is assumed to have an equal chance of<br />

turning up `heads' or tails'. By flipping the coin a<br />

number of times the researcher gets a sample of<br />

observed phenomena which is used to determine<br />

the odds that the observed behaviour actually<br />

resulted from chances. The researcher then applies<br />

a `decision rule' to the observed data and uses it to<br />

either accept or reject the null hypothesis; the<br />

decision rule takes the form of stating the odds that<br />

the observed phenomena could be the result of<br />

chance. Although somewhat dictated by research<br />

traditions in specific disciplines, the researcher is<br />

free to choose a specific decision rule.<br />

A variety of statistical tools have been developed<br />

for a wide number of research situations which are<br />

supported by computer programs. In a simplistic<br />

example, the researcher may want to know if<br />

having live entertainment in a hotel or beach bar<br />

leads to higher profit. The researcher could<br />

compare the profits from a random sample of<br />

nights when there was entertainment and when no<br />

entertainment was available. All variables except<br />

entertainment should be held constant. Using<br />

statistical analysis, the researcher could point to a<br />

possible relationship between entertainment and<br />

profits. Still, the researcher would have to demon

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