Evidence-based HRM: Volume 5 Issue 1

Strapline:

A Global Forum for Empirical Scholarship
Subject:

Table of contents - Special Issue: Personnel economics and vocational education & training

Guest Editors: Samuel Muehlemann, Stefan C. Wolter

Comparative advantages of school and workplace environment in skill acquisition: Empirical evidence from a survey among professional tertiary education and training students in Switzerland

Thomas Bolli, Ursula Renold

The purpose of this paper is to shed light on the questions as to how important skills are; which skills can best be learned at school, and which skills can be acquired better in…

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The relative importance of type of education and subject area: empirical evidence for educational decisions

Curdin Pfister, Simone N. Tuor Sartore, Uschi Backes-Gellner

The purpose of this paper is to provide empirical evidence for individual educational investment decisions and to investigate the relative importance of two factors, the type of…

Pre-training competencies and the productivity of apprentices

Anika Jansen, Harald Ulrich Pfeifer

The purpose of this paper is to investigate the relationship between pre-training competencies of apprentices and their productivity at the workplace.

Reverse educational spillovers at the firm level

Uschi Backes-Gellner, Christian Rupietta, Simone N. Tuor Sartore

The purpose of this paper is to examine spillover effects across differently educated workers. For the first time, the authors consider “reverse” spillover effects, i.e. spillover…

Can Spanish firms offer dual apprenticeships without making a net investment? Empirical evidence based on ex ante simulations of different training scenarios

Samuel Muehlemann, Stefan C. Wolter

The purpose of this paper is to simulate the potential costs and benefits for Spanish firms providing dual apprenticeship training.

Cover of Evidence-based HRM

ISSN:

2049-3983

Online date, start – end:

2013

Copyright Holder:

Emerald Publishing Limited

Open Access:

hybrid

Editor:

  • Prof Thomas Lange