3 - Jacobs University
3 - Jacobs University
3 - Jacobs University
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Audit data collected during the on-site evaluation can be divided according to four main categories:<br />
physical evidence, sensory observation, comparisons and trends, and interviews and questioning<br />
(Parsowith, 1995). Generally speaking recorded data could be qualitative or quantitative<br />
as both types have their advantages. The main advantage of qualitative data is that it allows for<br />
the in-depth study of selected issues without the necessity to fit data into certain predetermined<br />
categories (Patton, 1987). On the other hand, quantitative data is very useful when great amounts<br />
of data have to be processed. This type of evidence offers ”statistical aggregation of the data” and<br />
”gives a broad, generalizable set of findings” (Patton, 1987, p. 9).<br />
5.3 Reporting and Closure<br />
The information gathered during the on-site evaluation is used as a basis for shaping an opinion<br />
about supplier’s capability to meet the particular quality and commercial requirements of the<br />
outsourcing organization. Once the on-site evaluation has come to an end, the audit team has to<br />
prepare an official report based on the factual observations gathered during the audit. All identified<br />
problems have to be supported with substantial evidence. The report should be submitted to the<br />
supplier shortly after the completion of the on-site evaluation. Based on the report the auditing<br />
organization may assign follow-up audits in order to revisit areas which need improvement. The<br />
supplier, on the other hand, should prepare a corrective action plan which describes the measures<br />
that will be taken to remove the observed problems together with the respective deadlines and perform<br />
the necessary quality improvements. The important aspects of the discussion presented in<br />
this section are summarized in Figure 11.<br />
6 Empirical Data<br />
The preceding sections treated the conceptual and general aspects of quality auditing. Section 4<br />
elaborated on the broad context of this discussion and derived the consequences for quality auditing<br />
resulting from the specifics of the automotive industry, while Section 5 presented in detail the<br />
technical structure of the second-party quality audit. Now that the general framework has been<br />
introduced, the remaining part of the paper deals with the analysis of Volkswagen specific empirical<br />
data and concentrates on the research questions defined in Section 2. The aim of the current section<br />
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