 Total rewards : a study of artisan attraction and retention within a South African context Authors: Schlechter, Anton , Faught, Charl , Bussin, Mark Date: 0000 Subjects: Incentives in industry - South Africa , Employee retention , Employee competitive behavior - South Africa Language: English Type: Articles Identifier: http://hdl.handle.net/00000/000000 , uj:00000 , Citation: Schlechter, A., Faught, C. & Bussin, M. 0000. Total rewards : a study of artisan attraction and retention within a South African context. SA Journal of Human Resource Management, 00(0):0-00. DOI: http://dx.doi.org/00.0000/sajhrm.v00i0.000. , ISSN: 0000-000X (online) , ISSN: 0000-0000 (print) Description: Abstract: The shortage of artisan skills remains a serious challenge in South Africa and is forcing employers to investigate which total reward factors contribute to the attraction and retention of this critical skills segment, as undifferentiated retention strategies are no longer useful or even appropriate. Research purpose: The aim of this study was to further develop understanding of the total reward factors and the ideal combination and relative amount of total rewards that attract and retain artisans, including artisans from various race groups and age cohorts, using a novel approach. Motivation for the study: Limited research is available on the total reward factors and the ideal combination and relative amount of total rewards that attract and retain artisans. Further knowledge in this area will allow organisations to develop reward models that better attract and retain artisans. Method: The study followed both a quantitative and qualitative research approach, whilst adopting a descriptive research design. Using this mixed method, primary data were collected from individuals by means of two focus groups discussions: (0) a group of human resource and remuneration managers (n = 0) and (0) a group of artisans (n = 0). These results were used to develop two questionnaires that were distributed to artisans (n = 000). Data from Questionnaire 0 were analysed using descriptive statistics and factor analysis. Conjoint analysis was employed to identify an ideal total rewards composition based on responses from Questionnaire 0... Full Text: 