25.06.2014 Views

Quality service of ISO 9000 consultants - Universitat de Girona

Quality service of ISO 9000 consultants - Universitat de Girona

Quality service of ISO 9000 consultants - Universitat de Girona

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

On the other hand, similar results are found when the benefits from using a<br />

consultant are analysed according to the size <strong>of</strong> the consultant company. Small<br />

companies (between two and five <strong>consultants</strong>) provi<strong>de</strong> the fewest benefits for<br />

their clients, with an average rating <strong>of</strong> 2.88, whereas the large companies obtain<br />

an average rating <strong>of</strong> 3.13. Once again, it is noted that in<strong>de</strong>pen<strong>de</strong>nt pr<strong>of</strong>essional<br />

<strong>consultants</strong> follow a different pattern and obtain the highest ratings <strong>of</strong> all. All<br />

these relationships are statistically significant, as shown by the Kruskal-Wallis<br />

test carried out by grouping the variables according to the size <strong>of</strong> the<br />

consultant companies (Table VI).<br />

The perceived quality and the gap between expectations and perception<br />

both present significantly different averages with a significance level <strong>of</strong> 0.05.<br />

In a parallel manner, the performance <strong>of</strong> the variables <strong>of</strong> quality,<br />

expectations and benefits was analysed in relation to the size <strong>of</strong> the client<br />

company. In short, no statistically significant relationship was <strong>de</strong>tected<br />

between these variables and the size <strong>of</strong> the client company in terms <strong>of</strong> number<br />

<strong>of</strong> employees.<br />

<strong>Quality</strong> <strong>service</strong><br />

<strong>of</strong> <strong>ISO</strong> <strong>9000</strong><br />

<strong>consultants</strong><br />

1009<br />

Cost <strong>of</strong> consultant <strong>service</strong>s<br />

It is difficult to assess the benefits obtained from a consultant <strong>service</strong> without<br />

taking into consi<strong>de</strong>ration the cost <strong>of</strong> the same. For this reason it was<br />

consi<strong>de</strong>red appropriate to analyse the questionnaire data in terms <strong>of</strong> the costs<br />

involved. In brief, it can be conclu<strong>de</strong>d from an analysis <strong>of</strong> the data that these<br />

<strong>service</strong>s are not expensive. An assessment <strong>of</strong> the fees charged gives the<br />

lowest rating <strong>of</strong> the whole questionnaire data, i.e. 2.72. This value is lower<br />

than the average value <strong>of</strong> the scale, thus indicating a slight variance with the<br />

above statement.<br />

Companies invested few resources in the introduction <strong>of</strong> the ruling. It was<br />

found that 62 percent <strong>of</strong> the sample invested less than 15,000 Euro. Among the<br />

companies that engaged the <strong>service</strong>s <strong>of</strong> a consultant, the corresponding fees<br />

amounted to 48 percent <strong>of</strong> the total cost <strong>of</strong> introduction. In most cases (77<br />

percent), the consultant’s fees are stipulated right from the beginning. It can be<br />

assumed that the consultancies are so familiar with their <strong>service</strong> that they can<br />

make an initial estimate <strong>of</strong> the cost <strong>of</strong> introducing the ruling with a high <strong>de</strong>gree<br />

<strong>of</strong> precision. This type <strong>of</strong> <strong>service</strong> has been steadily growing ever since it was<br />

Mean perceived<br />

quality<br />

Mean<br />

expectations<br />

Non-weighted<br />

quality gap<br />

Arithmetic mean<br />

benefits 13 items<br />

Chi-square 14.65 1.913 14.11 1.890<br />

Freedom <strong>de</strong>gree 3 3 3 3<br />

Asymptotic sig. 0.002 0.591 0.003 0.596<br />

Notes: a Kruskal-Wallis test; b Grouping variable: number <strong>of</strong> <strong>consultants</strong><br />

Table VI.<br />

Kruskal-Wallis test<br />

statistics for the<br />

variables ``perceived<br />

quality’’, ``expectations’’,<br />

``gap between<br />

expectations and<br />

perceived quality’’ and<br />

``mean benefits’’ when<br />

grouped by ``number <strong>of</strong><br />

<strong>consultants</strong>’’

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!