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Article
Publication date: 17 August 2010

Jens Mohrenweiser and Uschi Backes‐Gellner

The purpose of this paper is to derive an empirical method to identify different types of training strategies of companies based on publicly available company data.

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Abstract

Purpose

The purpose of this paper is to derive an empirical method to identify different types of training strategies of companies based on publicly available company data.

Design/methodology/approach

Using a ten‐year panel, the within‐firm retention rate, defined as the average proportion of apprentices staying in a company in relation to all apprenticeship graduates of a company over several years, was analyzed. The within‐firm retention rate is used to identify these companies' training strategies.

Findings

It was shown that companies' motivation for apprenticeship training in Germany is not homogeneous: 19 percent of all companies follow a substitution strategy and 44 percent follow an investment strategy. The determinants of the substitution strategy were estimated and, for example, sizeable differences were found between sectors with different skill requirements and between firms' coverage of industrial relations.

Research limitations/implications

The method is well suited to classify substitution‐motivated training firms but it is less precise in identifying the investment motivation. Moreover, very small firms which train only one apprentice need longer panel duration for precise results and therefore the classification results are less precise for very small firms.

Practical implications

The classification can be used to identify determinants of company participation in apprenticeship training and to predict changes in demand for apprentices.

Originality/value

A simple and innovative method of identifying different types of training motivation with publicly available company data was derived, which has so far been possible only with very detailed company‐specific apprenticeship surveys.

Details

International Journal of Manpower, vol. 31 no. 5
Type: Research Article
ISSN: 0143-7720

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Article
Publication date: 1 August 2016

Patrick Kampkötter, Jens Mohrenweiser, Dirk Sliwka, Susanne Steffes and Stefanie Wolter

The purpose of this paper is to introduce a new data source available for researchers with interest in human resources management (HRM) and personnel economics, the Linked…

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Abstract

Purpose

The purpose of this paper is to introduce a new data source available for researchers with interest in human resources management (HRM) and personnel economics, the Linked Personnel Panel (LPP).

Design/methodology/approach

The LPP is a longitudinal and representative employer-employee data set covering establishments in Germany and a subset of their workforce and is designed for quantitative empirical human resource research.

Findings

The LPP employee survey applies a number of established scales to measure job characteristics and job perceptions, personal characteristics, employee attitudes towards the organization and employee behaviour. This paper gives an overview of both the employer and employee survey and outlines the definitions, origins, and statistical properties of the scales used in the individual questionnaire.

Practical implications

The paper describes how researchers can access the data.

Originality/value

First, the data set combines employer and employee surveys that can be matched to each other. Second, it can also be linked to a number of additional administrative data sets. Third, the LPP covers a wide range of firms and workers from different backgrounds. Finally, because of its longitudinal dimension, the LPP should facilitate the study of causal effects of HRM practices.

Details

Evidence-based HRM: a Global Forum for Empirical Scholarship, vol. 4 no. 2
Type: Research Article
ISSN: 2049-3983

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