A study of job stress, job satisfaction and turnover intentions among employees of the Eastern Cape Provincial Legislature in Bisho
- Authors: Tom, Zoliswa Mavis
- Date: 2015
- Subjects: Job stress Job satisfaction Labor turnover -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/1948 , vital:27587
- Description: According to Greenberg (2011) stress is an inevitable fact of organizational life today, and has an effect on both the employer and employee. The main aim of this study was on finding out the effect of job stress on job satisfaction and employee turnover in the Eastern Cape Provincial Legislature department. This study was conducted employing logical positivism as the philosophical paradigm; and this logical positivism derives from only two sources of knowledge which are logical reasoning and empirical experience. The researcher employed a non-experimental exploratory quantitative approach, employing the questionnaire as a data collection instrument. A sample size of 238 participants was used to collect data. Data analysis was done using the Pearson correlation coefficient and multi regressions. Job stress was found to have substantial influence to increase turnover intentions and to decrease job satisfaction. In addition, job stress and job satisfaction combine to have a collective influence on turnover intentions. The study recommends managers to implement motivational strategies to enhance job satisfaction and retain employees as long as possible.
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- Authors: Tom, Zoliswa Mavis
- Date: 2015
- Subjects: Job stress Job satisfaction Labor turnover -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/1948 , vital:27587
- Description: According to Greenberg (2011) stress is an inevitable fact of organizational life today, and has an effect on both the employer and employee. The main aim of this study was on finding out the effect of job stress on job satisfaction and employee turnover in the Eastern Cape Provincial Legislature department. This study was conducted employing logical positivism as the philosophical paradigm; and this logical positivism derives from only two sources of knowledge which are logical reasoning and empirical experience. The researcher employed a non-experimental exploratory quantitative approach, employing the questionnaire as a data collection instrument. A sample size of 238 participants was used to collect data. Data analysis was done using the Pearson correlation coefficient and multi regressions. Job stress was found to have substantial influence to increase turnover intentions and to decrease job satisfaction. In addition, job stress and job satisfaction combine to have a collective influence on turnover intentions. The study recommends managers to implement motivational strategies to enhance job satisfaction and retain employees as long as possible.
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Text data analysis for a smart city project in a developing nation
- Authors: Currin, Aubrey Jason
- Date: 2015
- Subjects: Natural language processing (Computer science) Human computation Human-computer interaction
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/2227 , vital:27709
- Description: Increased urbanisation against the backdrop of limited resources is complicating city planning and management of functions including public safety. The smart city concept can help, but most previous smart city systems have focused on utilising automated sensors and analysing quantitative data. In developing nations, using the ubiquitous mobile phone as an enabler for crowdsourcing of qualitative public safety reports, from the public, is a more viable option due to limited resources and infrastructure limitations. However, there is no specific best method for the analysis of qualitative text reports for a smart city in a developing nation. The aim of this study, therefore, is the development of a model for enabling the analysis of unstructured natural language text for use in a public safety smart city project. Following the guidelines of the design science paradigm, the resulting model was developed through the inductive review of related literature, assessed and refined by observations of a crowdsourcing prototype and conversational analysis with industry experts and academics. The content analysis technique was applied to the public safety reports obtained from the prototype via computer assisted qualitative data analysis software. This has resulted in the development of a hierarchical ontology which forms an additional output of this research project. Thus, this study has shown how municipalities or local government can use CAQDAS and content analysis techniques to prepare large quantities of text data for use in a smart city.
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- Authors: Currin, Aubrey Jason
- Date: 2015
- Subjects: Natural language processing (Computer science) Human computation Human-computer interaction
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/2227 , vital:27709
- Description: Increased urbanisation against the backdrop of limited resources is complicating city planning and management of functions including public safety. The smart city concept can help, but most previous smart city systems have focused on utilising automated sensors and analysing quantitative data. In developing nations, using the ubiquitous mobile phone as an enabler for crowdsourcing of qualitative public safety reports, from the public, is a more viable option due to limited resources and infrastructure limitations. However, there is no specific best method for the analysis of qualitative text reports for a smart city in a developing nation. The aim of this study, therefore, is the development of a model for enabling the analysis of unstructured natural language text for use in a public safety smart city project. Following the guidelines of the design science paradigm, the resulting model was developed through the inductive review of related literature, assessed and refined by observations of a crowdsourcing prototype and conversational analysis with industry experts and academics. The content analysis technique was applied to the public safety reports obtained from the prototype via computer assisted qualitative data analysis software. This has resulted in the development of a hierarchical ontology which forms an additional output of this research project. Thus, this study has shown how municipalities or local government can use CAQDAS and content analysis techniques to prepare large quantities of text data for use in a smart city.
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The impact of biofuels on food prices, lessons from the experiences of Brazil and U.S. (1995-2013)
- Authors: Ncube, Free P
- Date: 2015
- Subjects: Biomass energy -- Economic aspects Food prices -- Brazil Food prices -- United States , Energy crops -- Economic aspects|zBrazil
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/2150 , vital:27616
- Description: Using crops for fuel generates concerns over competition with food uses. As Rajagopal et al (2009) asserts, “In 2008 the world entered a food crisis amid record-high commodity and energy prices that induced hunger and political unrest in developing countries, by export restrictions in top grain-producing countries”. This took place at the same time when biofuel production, reached its pinnacle in developed countries. This paper examines the effect that biofuel prices and or production has had on food prices in Brazil and U.S. by employing the panel cointegration and Dynamic Ordinary Least Squares (DOLS) method of analysis. In regressing food prices as a function of demand and supply factors, such as oil prices, biofuel prices, interest rates and biofuel production, the study found that the increase in biofuels production over the past eighteen years has had a significant impact on food prices. Over the period January 1995- December 2013, the study estimates that a one hundred percent increase in biofuels production across time and between countries results in the increase of food prices by 21,9%. The study therefore rejects the null hypothesis that states, biofuel production does not have a statistically significant negative impact on food prices in U.S. and Brazil. , and accepts the alternative that biofuel production does have a statistically significant negative impact on food prices in U.S. and Brazil. Other predictors of food prices that the study revealed as significant were oil and interest rates. Policy recommendations for other countries like South Africa are therefore, made based on the results obtained.
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- Authors: Ncube, Free P
- Date: 2015
- Subjects: Biomass energy -- Economic aspects Food prices -- Brazil Food prices -- United States , Energy crops -- Economic aspects|zBrazil
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/2150 , vital:27616
- Description: Using crops for fuel generates concerns over competition with food uses. As Rajagopal et al (2009) asserts, “In 2008 the world entered a food crisis amid record-high commodity and energy prices that induced hunger and political unrest in developing countries, by export restrictions in top grain-producing countries”. This took place at the same time when biofuel production, reached its pinnacle in developed countries. This paper examines the effect that biofuel prices and or production has had on food prices in Brazil and U.S. by employing the panel cointegration and Dynamic Ordinary Least Squares (DOLS) method of analysis. In regressing food prices as a function of demand and supply factors, such as oil prices, biofuel prices, interest rates and biofuel production, the study found that the increase in biofuels production over the past eighteen years has had a significant impact on food prices. Over the period January 1995- December 2013, the study estimates that a one hundred percent increase in biofuels production across time and between countries results in the increase of food prices by 21,9%. The study therefore rejects the null hypothesis that states, biofuel production does not have a statistically significant negative impact on food prices in U.S. and Brazil. , and accepts the alternative that biofuel production does have a statistically significant negative impact on food prices in U.S. and Brazil. Other predictors of food prices that the study revealed as significant were oil and interest rates. Policy recommendations for other countries like South Africa are therefore, made based on the results obtained.
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The impact of transport infrastructure investment on unemployment in South Africa
- Authors: Mayekiso, Sipokazi
- Date: 2015
- Subjects: Transportation -- South Africa Infrastructure (Economics) -- South Africa Economic development -- South Africa
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/2260 , vital:27720
- Description: The transport infrastructure investment has been a subject of many studies for some time, mainly in improving and predicting the economic growth of the country and improving employment in South Africa. Given this, the study examines the impact of transport infrastructure investment on unemployment in South Africa by using time series econometric analysis over the period 1982-2012. Some key variables considered include unemployment, real GDP, real exchange rate, real interest rate, and trade openness total infrastructure investment exclude transport infrastructure investment. To separate the long and short run effect, VECM was employed after ensuring stationarity of the series. The study found that a long run relationship exist between the unemployment, transport infrastructure investment, real GDP, real exchange rate , real interest rate, trade openness and total infrastructure investment exclude transport infrastructure investment. The Results of this thesis have implications for policy and academic work.
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- Authors: Mayekiso, Sipokazi
- Date: 2015
- Subjects: Transportation -- South Africa Infrastructure (Economics) -- South Africa Economic development -- South Africa
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10353/2260 , vital:27720
- Description: The transport infrastructure investment has been a subject of many studies for some time, mainly in improving and predicting the economic growth of the country and improving employment in South Africa. Given this, the study examines the impact of transport infrastructure investment on unemployment in South Africa by using time series econometric analysis over the period 1982-2012. Some key variables considered include unemployment, real GDP, real exchange rate, real interest rate, and trade openness total infrastructure investment exclude transport infrastructure investment. To separate the long and short run effect, VECM was employed after ensuring stationarity of the series. The study found that a long run relationship exist between the unemployment, transport infrastructure investment, real GDP, real exchange rate , real interest rate, trade openness and total infrastructure investment exclude transport infrastructure investment. The Results of this thesis have implications for policy and academic work.
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