Psychological empowerment, job insecurity and wellness of employees in selected organisations

Abstract

South Africa, like the rest of the world, is undergoing major changes in the social, political, economic, technological and organisational environments. The ability of any organisation to compete internationally will depend to a large extent on the quality of its people. The biggest challenge that organisations are facing is to find, develop and retain talent. More than ever the ability of organisations to grow and develop will he determined by the level of competence and energy of their people. Challenging and meaningful work, development opportunities, leadership and empowerment are some of the most important reasons why talented people will stay on in a company. To increase speed, efficiency and to reduce costs, organisations have flattened their structures. From this it can be concluded that if companies want to be successful and retain talented people they have to create an environment where people feel empowered. The leader or manager plays an import role in the empowerment of people. The consequences of empowerment can include higher levels of job satisfaction, organisational commitment and work engagement. The objectives of the study were to determine the reliability and validity of the instruments, as well as the relationship between psychological empowerment, leader empowering behaviour, job insecurity, job satisfaction, organisational commitment and work engagement. Employees from selected organisation were targeted. The study population included employees from managerial and non-managerial categories. A cross-sectional survey design was used to obtain the research objectives. Six standardised questionnaires were used in the empirical study, namely Leader Empowering Behaviour Questionnaire, Job Insecurity Inventory, Measuring Empowerment Questionnaire, Job satisfaction, Organisational commitment and Work engagement. Descriptive statistics, factor analyses, Cronbach alpha coefficien@ correlations, MANOVAS and regression analyses were used to analyse the data.