The relationship between cultural intelligence and cross-cultural psychological capital amongst expatriates
- Authors: Lamont, Mia Adri
- Date: 2019
- Subjects: Cultural intelligence , Business anthropology Management -- Cross-cultural studies Corporate culture Work environment
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/40467 , vital:36168
- Description: This study explored the relationship between Cross-cultural (CC) PsyCap and Cultural Intelligence (CQ) amongst expatriates. The literature review revealed preliminary relationships between the two constructs and illuminated the need to broaden and extend current research to expatriates specifically. The study followed a quantitative research design in the form of non-experimental, cross-sectional research using convenience and snowball sampling. A composite questionnaire comprising the CC PsyCap scale and Cultural Intelligence Scale (CQS) was used to measure CC PsyCap and CQ levels. This self-report measure was distributed via various social media platforms (N=102). Overall, the measurement models revealed high reliability in the present study. Although the modified hope subscale did not appear to be suited to the expatriate sample in the present study, confirmatory factor analysis revealed acceptable validity for both instruments overall. Significant differences were found in the means of CC PsyCap and CQ between demographic groups. Relationships between the constructs were tested through correlation-and regression analyses and several significant positive relationships were found between the constructs and their dimensions. Two of the strongest relationships found were between CC self-efficacy and CQ and between motivational CQ and CC PsyCap. Further, CC PsyCap was shown to account for a part of the variance in CQ and vice versa. This research adds to insights gained from the previously validated cross-cultural PsyCap measure and studies on the relationships between the two constructs.
- Full Text:
- Date Issued: 2019
- Authors: Lamont, Mia Adri
- Date: 2019
- Subjects: Cultural intelligence , Business anthropology Management -- Cross-cultural studies Corporate culture Work environment
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/40467 , vital:36168
- Description: This study explored the relationship between Cross-cultural (CC) PsyCap and Cultural Intelligence (CQ) amongst expatriates. The literature review revealed preliminary relationships between the two constructs and illuminated the need to broaden and extend current research to expatriates specifically. The study followed a quantitative research design in the form of non-experimental, cross-sectional research using convenience and snowball sampling. A composite questionnaire comprising the CC PsyCap scale and Cultural Intelligence Scale (CQS) was used to measure CC PsyCap and CQ levels. This self-report measure was distributed via various social media platforms (N=102). Overall, the measurement models revealed high reliability in the present study. Although the modified hope subscale did not appear to be suited to the expatriate sample in the present study, confirmatory factor analysis revealed acceptable validity for both instruments overall. Significant differences were found in the means of CC PsyCap and CQ between demographic groups. Relationships between the constructs were tested through correlation-and regression analyses and several significant positive relationships were found between the constructs and their dimensions. Two of the strongest relationships found were between CC self-efficacy and CQ and between motivational CQ and CC PsyCap. Further, CC PsyCap was shown to account for a part of the variance in CQ and vice versa. This research adds to insights gained from the previously validated cross-cultural PsyCap measure and studies on the relationships between the two constructs.
- Full Text:
- Date Issued: 2019
Fiscal, deficit, inflation, money supply and exchange rate in South Africa
- Authors: Tala, Lavisa
- Date: 2017
- Subjects: nflation (Finance) -- South Africa Foreign exchange rates -- South Africa , Money supply -- South Africa
- Language: English
- Type: Thesis , Masters , MPhil
- Identifier: http://hdl.handle.net/10948/23261 , vital:30502
- Description: This study empirically investigates the relationship between fiscal deficit, inflation, M3 money supply and the exchange rate in South Africa. The study makes use of quarterly macroeconomic time-series data sets comprising 84 observations, covering the period from 1994Q1 to 2015Q4. The unit root tests conducted employed the Augmented Dickey Fuller (ADF) and Phillips-Perron (PP) tests. The results reveal that the variables become stationary at first difference. The Johansen co-integration technique suggests that there is at least one co-integrating equation among the variables. The results of the Engle-Granger approach, which is residual based, show that the residuals are stationary, thus validating the existence of a long-run relationship between the model variables. The study carried out a Granger causality test. The results indicate that there is a strong Granger causal relationship between the variables (IF) and (FD). Another strong causal relationship emerges between inflation and money supply. The ECM model was employed to identify the speed of adjustment as a response to the departures from the long-run equilibrium path. The estimated coefficient of the ECM error term has the required sign and is statistically significant at the five per cent level of significance. The error term indicates a quick convergence to equilibrium. The study concludes that the dependent variable (FD) is jointly caused by all the independent variables in the long-run. The results of the variance decomposition of the variable (FD) to innovations resulting from IF, MS and RER indicate that own shocks remain the dominant source of total fluctuations in the forecast error of the variables. The findings of the study are efficient and reliable as the estimated model passed all the major diagnostic tests. By implication the findings suggest that the estimated model show high goodness of fit and is thus reliable for policy making. The study recommends a fiscal adjustment that will enhance economic growth. Additionally, a fiscal policy that will aim at identifying and mitigating other possible leakages that narrow the tax base should be considered.
- Full Text:
- Date Issued: 2017
- Authors: Tala, Lavisa
- Date: 2017
- Subjects: nflation (Finance) -- South Africa Foreign exchange rates -- South Africa , Money supply -- South Africa
- Language: English
- Type: Thesis , Masters , MPhil
- Identifier: http://hdl.handle.net/10948/23261 , vital:30502
- Description: This study empirically investigates the relationship between fiscal deficit, inflation, M3 money supply and the exchange rate in South Africa. The study makes use of quarterly macroeconomic time-series data sets comprising 84 observations, covering the period from 1994Q1 to 2015Q4. The unit root tests conducted employed the Augmented Dickey Fuller (ADF) and Phillips-Perron (PP) tests. The results reveal that the variables become stationary at first difference. The Johansen co-integration technique suggests that there is at least one co-integrating equation among the variables. The results of the Engle-Granger approach, which is residual based, show that the residuals are stationary, thus validating the existence of a long-run relationship between the model variables. The study carried out a Granger causality test. The results indicate that there is a strong Granger causal relationship between the variables (IF) and (FD). Another strong causal relationship emerges between inflation and money supply. The ECM model was employed to identify the speed of adjustment as a response to the departures from the long-run equilibrium path. The estimated coefficient of the ECM error term has the required sign and is statistically significant at the five per cent level of significance. The error term indicates a quick convergence to equilibrium. The study concludes that the dependent variable (FD) is jointly caused by all the independent variables in the long-run. The results of the variance decomposition of the variable (FD) to innovations resulting from IF, MS and RER indicate that own shocks remain the dominant source of total fluctuations in the forecast error of the variables. The findings of the study are efficient and reliable as the estimated model passed all the major diagnostic tests. By implication the findings suggest that the estimated model show high goodness of fit and is thus reliable for policy making. The study recommends a fiscal adjustment that will enhance economic growth. Additionally, a fiscal policy that will aim at identifying and mitigating other possible leakages that narrow the tax base should be considered.
- Full Text:
- Date Issued: 2017
The relationship between authentic leadership, cultural intelligence and employee behaviour
- Authors: Barrass, Deon Brian
- Date: 2014
- Subjects: Leadership , Cultural intelligence , Employees -- Attitudes , Work environment
- Language: English
- Type: Thesis , Masters , MBA
- Identifier: vital:8872 , http://hdl.handle.net/10948/d1020336
- Description: Employee performance is a constant concern for any manager in a company or organisation. Managers have the unenviable task of balancing the meeting of organisational targets through the resources at their disposal. They must also manage their own responsibilities and personal targets which could be different to targets of the employees. These differences could create divergent priorities and affect the manager-employee relationship. Managers, in an effort to create a healthy work environment, need to show leadership qualities that encourage cooperation from their employees. These qualities must enable employees to form trustworthy relationships with their colleagues and the organisation thereby encouraging employee engagement and improved performance. A specific leadership quality that can create this type of positive and productive environment is authenticity. Authentic leadership can engender employee trust and organisational commitment and improve performance. Authentic leadership encourages improved relationships in the organisational environment by allowing employees and managers to communicate effectively. This encourages understanding of individual and organisational limitations in a non-threatening manner. Cultural intelligence is another quality that can enhance the employee manager relationship and affect the organisational climate. In South Africa’s culturally diverse environment managers from various cultural backgrounds will need to form healthy working relationships with employees and colleagues to encourage cooperation. These challenges and opportunities form the basis for this research study in the hope of informing managers of the relevance of the research topic and encouraging a change of behaviour and further study within the South African work environment.
- Full Text:
- Date Issued: 2014
- Authors: Barrass, Deon Brian
- Date: 2014
- Subjects: Leadership , Cultural intelligence , Employees -- Attitudes , Work environment
- Language: English
- Type: Thesis , Masters , MBA
- Identifier: vital:8872 , http://hdl.handle.net/10948/d1020336
- Description: Employee performance is a constant concern for any manager in a company or organisation. Managers have the unenviable task of balancing the meeting of organisational targets through the resources at their disposal. They must also manage their own responsibilities and personal targets which could be different to targets of the employees. These differences could create divergent priorities and affect the manager-employee relationship. Managers, in an effort to create a healthy work environment, need to show leadership qualities that encourage cooperation from their employees. These qualities must enable employees to form trustworthy relationships with their colleagues and the organisation thereby encouraging employee engagement and improved performance. A specific leadership quality that can create this type of positive and productive environment is authenticity. Authentic leadership can engender employee trust and organisational commitment and improve performance. Authentic leadership encourages improved relationships in the organisational environment by allowing employees and managers to communicate effectively. This encourages understanding of individual and organisational limitations in a non-threatening manner. Cultural intelligence is another quality that can enhance the employee manager relationship and affect the organisational climate. In South Africa’s culturally diverse environment managers from various cultural backgrounds will need to form healthy working relationships with employees and colleagues to encourage cooperation. These challenges and opportunities form the basis for this research study in the hope of informing managers of the relevance of the research topic and encouraging a change of behaviour and further study within the South African work environment.
- Full Text:
- Date Issued: 2014
A data warehouse structure design methodology to support the efficient and effective analysis of online resource usage data
- Authors: Ferreira, Cornél
- Date: 2012
- Subjects: Data warehousing , Electronic information resources
- Language: English
- Type: Thesis , Masters , MA
- Identifier: vital:10486 , http://hdl.handle.net/10948/d1016072
- Description: The use of electronic services results in the generation of vast amounts of Online Resource Usage (ORU) data. ORU data typically consists of user login, printing and executed process information. The structure of this type of data restricts the ability of decision makers to effectively and efficiently analyse ORU data. A data warehouse (DW) structure is required which satisfies an organisation’s information requirements. In order to design a DW structure a methodology is needed to provide a design template according to acknowledged practices. The aim of this research was to primarily propose a methodology specifically for the design of a DW structure to support the efficient and effective analysis of ORU data. A variety of relevant DW structure design methodologies were investigated and a number of limitations were identified. These methodologies do not provide methodological support for metadata documentation, physical design and implementation. The most comprehensive methodology identified in the investigation was modified and the Adapted Triple-Driven DW Structure Design Methodology (ATDM) was proposed. The ATDM was successfully applied to the information and communication technology services (ICTS) department of the Nelson Mandela Metropolitan University as the case study for this research. The proposed ATDM consists of different phases which include a requirements analysis phase that was adapted from the identified comprehensive methodology. A physical design and an implementation phase were included in the ATDM. The ATDM was successfully applied to the ICTS case study as a proof of concept. The application of the ATDM to ICTS resulted in the generation and documentation of semantic and technical metadata which describes the DW structure derived from the application of the ATDM at a logical and physical level respectively. The implementation phase was applied using the Microsoft SQL Server integrated tool to obtain an implemented DW structure for ICTS that is described by technical metadata at an implementation level. This research has shown that the ATDM can be successfully applied to obtain an effective and efficient DW structure for analysing ORU data. The ATDM provides guidelines to develop a DW structure for ORU data and future research includes the generalisation of the ATDM to accommodate various domains and different data types.
- Full Text:
- Date Issued: 2012
- Authors: Ferreira, Cornél
- Date: 2012
- Subjects: Data warehousing , Electronic information resources
- Language: English
- Type: Thesis , Masters , MA
- Identifier: vital:10486 , http://hdl.handle.net/10948/d1016072
- Description: The use of electronic services results in the generation of vast amounts of Online Resource Usage (ORU) data. ORU data typically consists of user login, printing and executed process information. The structure of this type of data restricts the ability of decision makers to effectively and efficiently analyse ORU data. A data warehouse (DW) structure is required which satisfies an organisation’s information requirements. In order to design a DW structure a methodology is needed to provide a design template according to acknowledged practices. The aim of this research was to primarily propose a methodology specifically for the design of a DW structure to support the efficient and effective analysis of ORU data. A variety of relevant DW structure design methodologies were investigated and a number of limitations were identified. These methodologies do not provide methodological support for metadata documentation, physical design and implementation. The most comprehensive methodology identified in the investigation was modified and the Adapted Triple-Driven DW Structure Design Methodology (ATDM) was proposed. The ATDM was successfully applied to the information and communication technology services (ICTS) department of the Nelson Mandela Metropolitan University as the case study for this research. The proposed ATDM consists of different phases which include a requirements analysis phase that was adapted from the identified comprehensive methodology. A physical design and an implementation phase were included in the ATDM. The ATDM was successfully applied to the ICTS case study as a proof of concept. The application of the ATDM to ICTS resulted in the generation and documentation of semantic and technical metadata which describes the DW structure derived from the application of the ATDM at a logical and physical level respectively. The implementation phase was applied using the Microsoft SQL Server integrated tool to obtain an implemented DW structure for ICTS that is described by technical metadata at an implementation level. This research has shown that the ATDM can be successfully applied to obtain an effective and efficient DW structure for analysing ORU data. The ATDM provides guidelines to develop a DW structure for ORU data and future research includes the generalisation of the ATDM to accommodate various domains and different data types.
- Full Text:
- Date Issued: 2012
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