Resumen

MUTSONZIWA, K  y  SERUMAGA-ZAKE, P. Exploring employee satisfaction and leadership attributes within the research industries in Gauteng Province. JCMAN [online]. 2015, vol.12, n.1, pp.164-183. ISSN 1815-7440.

The purpose of this study was to identify the key attributes that affect employee satisfaction in the market and social research industries in Gauteng Province, South Africa. The data used for the analysis was collected face-to-face from employees using a quantitative questionnaire. An overall Cronbach alpha of 0.982 showed that the results are statistical reliable. The study found that a statistically significant relationship exists between employee satisfaction and leadership attributes within the market and social research industries in Gauteng Province. Issues of corporate climate and leadership were important determinants of overall employee satisfaction. The key drivers of employee satisfaction were identified to be job security, commitment or adherence to agreements, relative remuneration, company culture, conflict resolution and ethical considerations by management. Critical leadership factors that were identified included sharing vision of the company into the future, assisting and giving feedback to employees. Exploratory factor analysis results showed that the data was best explained by four factors. The data was also classified into four strategic quadrants derived from the standardised beta coefficients of the attributes derived from regression analysis. Leadership and management must put in place well thought systems that allow employees to effectively utilise their potential in order to perform at their level best to optimise labour productivity. The researcher recommends that leadership should be delineated across all the different levels within the companies to ensure that all employees understand the operations of the company in order to achieve their optimum operational levels.

Palabras clave : employee satisfaction; factor analysis; Gauteng Province; leadership; market and social research; regression analysis.

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