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Given the instability and volatility of the labour market and the global talent scarcity, placing more attention on job employability is fundamental. In this context, the literature has already extensively examined employability as a crucial individual aspect, identifying some significant antecedents, including the applicability of training on the job. The present study aims to examine the impact that teaching employees to craft their job may have on the levels of applicability of training and if, in turn, this improves self-perceived employability.

The authors involved three private organizations that followed three workshops on job crafting behaviour. To empirically assess the intervention, the authors asked participants of the workshop to complete four quantitative diaries on a weekly basis, i.e. one per week, one before the intervention and three after the intervention. The diaries comprised measures of job crafting behaviours, applicability of training and self-perceived employability.

Multi-level analysis of data collected provided support to the positive associations between job crafting behaviour and self-perceived employability with the mediating effect of applicability of training. Notably, the applicability of training improves when individuals search for challenges, which indirectly affects perceived employability in terms of organizational sense.

In the present study, no control group was used with which the results of our intervention could be compared. However, this does not affect the overall results, given the amount of intraindividual variability.

The paper proposes initial avenues for promoting employability at work via the use of behavioural job crafting intervention.

Using a discrete choice experiment (DCE), this study aims to better understand the job preference of postgraduate students studying at the Kwame Nkrumah University of Science and Technology-Institute of Distance Learning, Ghana and also rank the attributes of a job they deem important.

The research adopted a positivist epistemological design contextualised within a deductive approach and case study strategy. Primary survey data was collected from a stratified random sample of 128 postgraduate students with multi-sectorial career prospects. Sample students were subjected to a DCE in which their stated preferences were collected using closed-ended questionnaires with 28 pairs of hypothetical job profiles. Respondents’ preferences from the DCE data were then modelled using the conditional logit.

The research reveals that: salary in the range GHC 2,800.00 to GHC 3,400.00 ($1 = GHS 5.3); supportive management; very challenging jobs; and jobs located in the city were the top attributes that were significant and had the most impact in increasing the utility of selecting a particular job. Interestingly, jobs with no extra hours workload were not significant hence, had a negative impact upon student preferences.

This novel research is the first to use a DCE to better elicit preference and trade-offs of postgraduate students in a developing country towards varying job characteristics that have an impact on their future employment decisions. Knowledge advancements made provide invaluable insight to employers and policymakers on the key criteria that should be implemented to retain the best candidate.