Experiencing justice is one of the most central (de)motivators for workers. Job satisfaction, health, dysfunctional and proactive behavior are significantly influenced by the extent to which decisions in organizations are perceived as fair. In connection with the implementation of Industry 4.0, employees are confronted with a whole series of decisions, ranging from the planning of the new world of work to the flexible allocation of individual tasks. In this field of work, the aim is to examine how fairly employed people perceive working conditions under Industry 4.0 in comparison with conventional working conditions. In doing so, the contributions of the entire organisation, those of the managers and, if necessary, the involved "intelligent" machines to these assessments are to be identified. These findings are to be applied to the implementation of Industry 4.0 in companies, in order to achieve a fair change in working conditions.
New concepts aimed at competence development must also be developed for the area of individual and in-company continuing training. A possible methodological approach to the description of non-formal learning consists in constructing competence measurement methods especially for non-formal learning processes and testing them empirically. On the other hand, it is possible to follow the progress of informal learning processes more systematically by identifying factors influencing the setting and successful pursuit of personal vocational learning goals. A better, empirically supported description of non-formal and informal learning opens up the possibility for organisations to create conditions that stimulate and support the continuing and further training of employees in a sustainable way.
Contact: Prof. Dr. Günter Maier, Faculty of Psychology and Sports Science, ao-psychology[at]uni-bielefeld. de, University of Bielefeld