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                                                                             CHAPTER 4
                                        Individual and organisational predictors influencing ageing workersʼ employability  73





                 development is still important for low and higher educated mature workers as
                 abilities are not fixed and can be altered; schooling produces ability while
                 ability creates a demand for schooling (Heckman, 2000).
                   The study of Collins et  al. (2009) is relevant when bearing in mind
                 employeesʼ individual social exchange relationship with their supervisor
                 (LMX), and the ageing workforce. They found that older workers expect less
                 from their younger supervisors than younger workers. Older employees with
                 younger supervisors will probably show more severe participation deficits in
                 training and development activities than their peers with same-aged
                 supervisors. Since participation in these activities can be regarded as a
                 necessary means to improve employability, it can be expected that older
                 employees with younger supervisors will have the most serious shortcomings
                 in employability (Sopranos, 1999).


                 4.5.  Two studies on factors affecting ageing
                     workersʼ employability


                 Based on the above theory, Breukers (2010) and Wittpoth (2011), master
                 students at the University of Twente (NL), recently carried out two studies to
                 identify factors that could affect ageing workersʼ employability. Both students
                 selected a large industrial company in the Netherlands facing an ageing
                 workforce. The average age in Breukersʼ study was 47.2 years, and 40 years
                 in the Wittpoth study. Breukers collected data by means of a paper and pencil
                 questionnaire among a stratified random sample of 298 employees and
                 obtained a 76% response rate. Wittpoth gathered data using a paper and
                 pencil questionnaire among 332 employees and achieved a response rate of
                 nearly 40%.
                   Breukers focused on predictors that affect employability with emphasis on
                 personal factors, motivation and ability to learn, and organisational factors,
                 namely learning climate, job rotation, and supervisor support. She
                 hypothesised that both individual factors are positively related to employability,
                 with age having a negative moderating effect on the relationship between
                 motivation and ability to learn, on the one hand, and employability, on the
                 other. She also hypothesised that discerned organisational factors are
                 positively related to employability. Regarding age, she expected a positive
                 moderating effect on the relationship between job rotation and learning
                 climate, and all five dimensions of employability, but a negative moderating
                 effect in case supervisor support was the predictor variable.
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