Four different recruitment strategies
So far the recruitment channels have been considered singly. In reality, companies use several recruitment channels simultaneously to gain the attention of training-place applicants. Differences can still be found between companies as to which recruitment channels they favour and which ones they use but consider to be of secondary importance. In other words, there is variation in how the use of the individual channels fits in to an overall recruitment strategy.
A possible means of identifying such recruitment strategies consists in the use of cluster analysis techniques (see "Cluster anayses"). Using this method, four clusters could be identified among the companies surveyed, each of which is characterised by a specific approach to finding applicants.
Cluster analyses
Cluster analysis techniques make it possible to determine whether the respondents can be split up into groups (= clusters). Usually clustering is done in such a way that respondents within a group show strong similarities on the attributes of interest, while clear differentiations exist between the groups.
In the present case, cluster analysis was used to explore whether the companies could be divided into groups on the basis of similarities between the recruitment strategies they used. The number of clusters was obtained by hierarchical cluster analysis according to Ward's method. The companies were assigned to clusters by means of a cluster centre analysis applying the k-means algorithm (cf. inter alia BACHER 2002).
The first cluster encompasses almost a quarter of all companies (cf. Table 2). This group's recruitment strategy is dominated by channels which enable indirect, non-personal contact to be initiated with the potential apprentices, predominantly mediated via the Internet, the press and the employment office (cf. Figure 3).
Ways of introducing themselves to young people as a training company - such as presentations in schools and at apprenticeship fairs - are distinctly under-represented in this group. To that extent, the Cluster I companies pursue an indirect-distanced recruitment strategy. The companies of Cluster II, which is the largest cluster by far, accounting for a good 50%, are rather defensive overall in their recruitment behaviour. With the exception of work placements (Betriebspraktikum), they make less intense use of all other recruitment channels than the "average company" (the zero line in Figure 3). At the same time, the data indicate that - unlike Cluster I - they tend to favour direct and personal communication over indirect contact. Against this background, the recruitment strategy of Cluster II can be characterised as defensive-personal. The third cluster unites one-sixth of companies. Overall, the companies in this cluster invest rather more effort in acquiring applicants than the average. Only the use of newspaper advertising is under-represented in this cluster. Its recruitment strategy can thus be characterised as moderate-proactive. Cluster IV, accounting for a good 7% of companies, is the smallest. It comprises companies which go even further than the Cluster III companies in their efforts to gain the attention of applicants. Particularly with regard to the direct approaches - presentations as part of school events, apprenticeship fairs and open days - their efforts go considerably beyond those of the other companies. Thus, these companies are pursuing a proactive-engaged recruitment strategy.
Table 2: Cluster affiliation according to selected structural attributes
(figures as row percentages)
|
Distributions
|
2-dimensional
Chi2 test*
|
|
|
Cluster I
indirect-
distanced
|
Cluster II
defensive-
personal
|
Cluster III
moderate-
proactive
|
Cluster IV
proactive-
engaged
|
X2
|
p
|
| All companies |
|
24.3
|
51.6
|
16.8
|
7.2
|
|
|
| Company size |
under 50 employees |
24.1
|
55.0
|
16.1
|
4.8
|
2.58
|
.462
|
|
50 employees or more |
25.7
|
30.4
|
21.6
|
22.3
|
279.10
|
.000
|
| Economic sector |
Secondary sector |
18.4
|
55.0
|
20.2
|
6.3
|
18.92
|
.000
|
|
Tertiary sector |
32.7
|
45.2
|
15.4
|
6.6
|
9.77
|
.021
|
|
Public sector |
9.0
|
66.3
|
14.6
|
10.1
|
54.83
|
.000
|
| Region |
West |
21.2
|
54.6
|
17.5
|
6.6
|
10.30
|
.016
|
|
East (incl. Berlin) |
38.3
|
38.3
|
13.5
|
9.8
|
25.58
|
.000
|
* Explanatory note: The method adopted was one-dimensional chi square testing under the assumption of non-equal distribution. This is indicated if, on the basis of existing knowledge, a certain distribution can be expected. In the present case, this is the distribution of the total sample. One-dimensional chi2 tests examine whether the actual distribution within a group - for instance, secondary sector companies - matches or deviates from the expected distribution. Significance levels (p) of .05 or lower indicate a statistically significant deviation in the actual from the expected distribution.