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Dissertation_Paula Aleksandrowicz_12 ... - Jacobs University

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I had originally intended to focus on labour-intense (rather than skill-intense)<br />

manufacturing firms as research shows that the push towards early exit in such surroundings<br />

is especially pronounced due to hard working conditions and health impairments caused<br />

thereby, technological change and the related obsolescence of (old) knowledge, and the<br />

decline of the industrial sector (EC 2004a: 117-<strong>12</strong>0; BmFSFJ 2005: 79, 85). Thus, I<br />

assumed that firms with a higher percentage of blue-collar workers performing hard<br />

physical work (e.g. working at assembly lines, in the cold, lifting heavy burdens) would be<br />

more pressed to develop strategies which cushion the negative effects of an ageing<br />

workforce.<br />

In the course of the research, I broadened the range of sectors and included a few firms<br />

from the services as well in line with heterogeneity sampling. The rationale behind it was<br />

the striving for greater generalisability, and the knowledge that the employment risk of older<br />

workers differs by branches and production regimes (Frerichs 2002; Rosenow/Naschold<br />

1994: 42ff).<br />

I aimed at least 10, preferably 15 firms per country.<br />

The firms in my sample are no ´matched pairs´ in the meaning of Dore (1973; quoted<br />

after Jürgens 1991: 195). The reason is that in Poland, large firms above 500/1.000<br />

employees are seldom; only 0.13 per cent of companies employ 250 persons or more (MG<br />

2006: 29). The firms I have in my sample are more typical of the segment of large firms in<br />

Poland. Therefore, by choosing even larger firms, to match the German ones in size, I would<br />

obstruct the idea of comparing firms which are typical for the given country (comp.<br />

Heidenreich 1991: 52).<br />

I collected empirical data in expert interviews based on an interview guideline. Expert<br />

interviews are recommended in situations when concrete data on a given subject is afforded<br />

(instead of the personal opinions and feelings of the interviewee; Trinczek 2002: 209). I<br />

developed an interview guideline designed for a partially structurised 1-2 hours talk. The<br />

guideline was based on academic literature, my own considerations and discussions within<br />

the ActivAge group (see Annex A). It contained a part which was similar for all countries<br />

participating in a project and a part which had to be adapted to individual country cases. I<br />

also developed the guideline inductively, out of data: As I realised that my interviewees<br />

understood the term ´older worker´ differently, I included the question “What constitutes in<br />

your view an older worker?” into the Polish questionnaire guideline and into the guideline<br />

for the second interview wave in German companies. The latter questionnaire was also<br />

36

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