The relationship between workplace bullying, job satisfaction and the intention to quit in an IT company
Engelbrecht, Heiné Drydond
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Globally, workplace bullying is a growing phenomenon which affects millions of employees. It is characterised by frequency of incidence, duration and reaction on the side of both the perpetrator and victim, ultimately caused by power struggles in ineffective working environments. The impact on both the Company and employee is significant and there is a negative impact on the employment relationship. It may lead to reduced performance and productivity, individual health problems, impact on job satisfaction and foster intentions to quit. The primary objective of this research was to determine the prevalence of workplace bullying in a South African Information Technology (IT) company, and determine the impact of this construct on job satisfaction and intention to quit. A cross-sectional survey design was used. The constructs were measured by means of a biographical questionnaire, the Negative Acts Questionnaire Revised, a Job Satisfaction Questionnaire and an Intention to Quit Questionnaire. Cronbach’s Alpha coefficients were used to assess the validity and reliability of the measuring instruments. The phi-coefficient was used to determine effect size and power of the chi-square tests for independence (Aron, Elliot, & Aaron, 2011). The research method for the articles consisted of a literature review and an empirical study. The statistical analysis was carried out using the SPSS 20.0 programme (SPSS 2012). Article 1 focuses on the prevalence and measurement of workplace bullying in an IT company. Descriptive statistics (frequencies) and cross tabulations were used to describe the data. Significant relations were found in constructs within the negative acts, and also between the negative acts and biographical information. Article 2 focuses on the relation between workplace bullying, job satisfaction and the intention to quit in an IT company. Descriptive statistics (frequencies, means, standard deviations, skewness and kurtosis) were determined to describe the data, principal component analysis was used and an Oblimin rotation was performed to determine the constructs for analysis. Pearson’s correlation coefficients and multiple regression analysis were used to determine the relationship between these constructs. Significant relations and difference are found between the various individual constructs and the scores of the negatives acts, job satisfaction and intention to quit. Conclusions are made for the current research, limitations discussed and recommendations for future research are put forward.