2009
DOI: 10.1177/147078530905100110
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Using Statistical Design Experiment Methodologies to Identify Customers’ Needs

Abstract: Customer satisfaction has become one of the main objectives in all areas of business, especially the tourist trade. One of the most difficult problems is to know how to obtain this satisfaction, which involves identifying customers’ needs and desires, and transferring them to our product or service specifications. In order to ascertain the consumer voice, we can ask consumers directly, or try to deduce their requirements by indirect methods. Statistical design of experiments (SDE) is considered to be a powerfu… Show more

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Cited by 5 publications
(3 citation statements)
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“…It is a simple procedure that can be implemented in any spread sheet. A description of Yates' algorithm and the use of the normal probability plot can be found in Box et al (2005) and an example in Huertas‐Garcia and Consolación (2009). Tables V and VI show the estimated effects for Spanish and US students, while Figures 1 and 2 show the normal probability plot for selecting a web site's most important effects.…”
Section: Resultsmentioning
confidence: 99%
“…It is a simple procedure that can be implemented in any spread sheet. A description of Yates' algorithm and the use of the normal probability plot can be found in Box et al (2005) and an example in Huertas‐Garcia and Consolación (2009). Tables V and VI show the estimated effects for Spanish and US students, while Figures 1 and 2 show the normal probability plot for selecting a web site's most important effects.…”
Section: Resultsmentioning
confidence: 99%
“…A statistical design of the experiment (SDE) is commonly used in engineering studies and medical analysis, although its origin is in agricultural research (Box et al 1999). However, SDE can also be used outside the scope of engineering and manufacturing production -for example, in service operations (Starkey et al 1997) or marketing and sales (Chevalier 1975;Starkey et al 1997;Huertas-García & Consolación-Segura 2009).…”
Section: Statistical Design Of the Experiments (Sde)mentioning
confidence: 99%
“…Several methods are available for calculating the effects -for example, the Yates algorithm, an example of the use of which can be found in Huertas-García and Consolación-Segura (2009). However, in this work we use the contrasting table of coefficients in which only the eight vector columns are considered -one for the average and the other seven for attributes.…”
Section: The Experimental Designmentioning
confidence: 99%