Author:
Smit Wilmien,Stanz Karel,Bussin Mark
Abstract
Orientation: Currently there is much debate whether modifying traditional reward packages to focus on the preferences of multi-generations would be essential in attracting, motivating and retaining talent. Total reward factors, perceived organisational support and perceived supervisor support are distinct but related concepts, all of which appear to influence an employee’s decision to stay at an organisation.Research purpose: The objective of this study was to identify the different total reward components that multi-generations prefer as most important for retention. In essence, the study aims to establish possible relationships between multi-generations’ total reward components, perceived organisational support, and perceived supervisor support.Motivation for the study: This study is useful as it conducts a contemporary retention exploration that considers both the emerging demographic workforce shift and the new paradigm shift towards talent management.Research methodology: A quantitative, cross-sectional research design was applied to gather data from employees (N = 303) from different industry sectors in South African organisations.Main findings: The results showed that performance management and remuneration are considered to be the most important retention factors amongst multi-generation groups. Differences between total reward preferences and demographical variables, which include age, gender, race, industry and job level, were found.Practical/managerial implications: Organisations should design their reward packages by taking employees preferences into account. More specifically, organisations should focus on remuneration, performance management and development opportunities in order to retain scarce skills.Contribution/value additions: The results of the study can assist managers to design effective retention strategies, whilst also providing crucial information for the retention and motivation of employees.
Subject
Organizational Behavior and Human Resource Management,Demography
Cited by
22 articles.
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