The role of dynamic capabilities and enterprise risk management on SMMEs business continuity in Nelson Mandela Bay Metropolitan Municipality
- Authors: Sishuba, Hlumela
- Date: 2023-12
- Subjects: Risk management , Crisis management -- South Africa , Small business -- Management -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/65979 , vital:74293
- Description: Business continuity does not happen by chance, it is rather enabled or propelled by various activities in business operations. This study examines the role of dynamic capabilities and enterprise risk management and their role in the continuity of Small, Micro and Medium Enterprises (SMMEs) in the Nelson Mandela Bay Metropolitan Municipality. Fixated in the positivist paradigm, this study adopted a quantitative research approach to collect data from 105 SMMEs registered with the Nelson Mandela Bay Business Chamber, who were sampled using stratified and convenience sampling. Data was collected via an online survey on Google Forms and analysed using SPSS version 23. Descriptive statistics and statistical analysis methods were applied using SPSS version 23. The analysis was done in three phases. Firstly, the researcher conducted a reliability analysis of the questionnaire, and secondly, a descriptive statistical analysis to examine the research questions. The third phase was a statistical analysis to test the hypothesis. A Pearson‟s correlation test was performed to test the relationship between dynamic capabilities and enterprise risk management. The findings showed that, as enterprise risk is managed, dynamic capabilities increase, and thus there is a significant relationship between dynamic capabilities and enterprise risk management. The correlation between the variables which measured the dynamic capabilities and those which measured enterprise risk management seemed to be significant as they were all above 0.05. Therefore, it can be concluded that dynamic capabilities and enterprise risk management contribute to business continuity. This means that dynamic capabilities enhance business continuity, dynamic capabilities enhance enterprise risk management and enterprise risk management enhances business continuity. To leverage these positive relations, SMMEs ought to employ ERM experts or engage ERM consultants who will design Enterprise Risk management (ERM) strategies that are compatible with their enterprises. It is also recommended for SMMEs to have quarterly evaluations of the Enterprise Risk Management strategies and Dynamic Capabilities that enhance their business continuity planning , Thesis (MBA) -- Faculty of Business and Economic Sciences, Business School, 2023
- Full Text:
- Date Issued: 2023-12
- Authors: Sishuba, Hlumela
- Date: 2023-12
- Subjects: Risk management , Crisis management -- South Africa , Small business -- Management -- South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/65979 , vital:74293
- Description: Business continuity does not happen by chance, it is rather enabled or propelled by various activities in business operations. This study examines the role of dynamic capabilities and enterprise risk management and their role in the continuity of Small, Micro and Medium Enterprises (SMMEs) in the Nelson Mandela Bay Metropolitan Municipality. Fixated in the positivist paradigm, this study adopted a quantitative research approach to collect data from 105 SMMEs registered with the Nelson Mandela Bay Business Chamber, who were sampled using stratified and convenience sampling. Data was collected via an online survey on Google Forms and analysed using SPSS version 23. Descriptive statistics and statistical analysis methods were applied using SPSS version 23. The analysis was done in three phases. Firstly, the researcher conducted a reliability analysis of the questionnaire, and secondly, a descriptive statistical analysis to examine the research questions. The third phase was a statistical analysis to test the hypothesis. A Pearson‟s correlation test was performed to test the relationship between dynamic capabilities and enterprise risk management. The findings showed that, as enterprise risk is managed, dynamic capabilities increase, and thus there is a significant relationship between dynamic capabilities and enterprise risk management. The correlation between the variables which measured the dynamic capabilities and those which measured enterprise risk management seemed to be significant as they were all above 0.05. Therefore, it can be concluded that dynamic capabilities and enterprise risk management contribute to business continuity. This means that dynamic capabilities enhance business continuity, dynamic capabilities enhance enterprise risk management and enterprise risk management enhances business continuity. To leverage these positive relations, SMMEs ought to employ ERM experts or engage ERM consultants who will design Enterprise Risk management (ERM) strategies that are compatible with their enterprises. It is also recommended for SMMEs to have quarterly evaluations of the Enterprise Risk Management strategies and Dynamic Capabilities that enhance their business continuity planning , Thesis (MBA) -- Faculty of Business and Economic Sciences, Business School, 2023
- Full Text:
- Date Issued: 2023-12
Sibling partnerships in South African small and medium-sized family businesses
- Authors: Farrington, Shelley Maeva
- Date: 2009
- Subjects: Family-owned business enterprises -- South Africa -- Management , Family corporations -- South Africa -- Management , Families -- Economic aspects -- South Africa , Small business -- Management -- South Africa , Family-owned business enterprises -- Succession -- South Africa
- Language: English
- Type: Thesis , Doctoral , DCom
- Identifier: vital:9289 , http://hdl.handle.net/10948/952 , Family-owned business enterprises -- South Africa -- Management , Family corporations -- South Africa -- Management , Families -- Economic aspects -- South Africa , Small business -- Management -- South Africa , Family-owned business enterprises -- Succession -- South Africa
- Description: Given the predicted increase in the number of family businesses owned and/or managed by siblings (Sibling Partnerships), as well as the lack of understanding and research attention given to such sibling teams, the purpose of this study was to contribute to the more effective functioning of such family businesses in South Africa by identifying the factors that impact on their success. With this purpose in mind, the primary objective was to identify, investigate and empirically test the possible influences of, and relationships between, various factors and the Perceived success of Sibling Partnerships. This study sets out to integrate prior findings and theories on team effectiveness and family relationships, to find support for these theories in the family business literature, and to incorporate these findings into a comprehensive model. The literature study revealed 5 main categories (context, composition, structure, processes, and people) of constructs influencing the Perceived success of sibling teams. Within these 5 main constructs, 13 underlying independent variables were identified and hypothesised to influence measures of effectiveness of sibling teams, namely the dependent variable Perceived success, and the 2 intermediate variables Financial performance and Family harmony. Of the 13 underlying independent variables, 6 were categorised as task-based and 7 as relational-based factors. In addition, hypotheses were formulated for possible relationships between the various task-based constructs (context, composition and structure) and the processes and people constructs. Each construct was clearly defined and then operationalised. Operationalisation was done by using reliable and valid items sourced from tested measuring instruments used in previous studies, as well as several self-generated items based on secondary sources. A structured questionnaire was made available to respondents identified by means of the convenience snowball sampling technique, and the data collected from 371 usable questionnaires was subjected to various statistical analyses. An exploratory factor analysis was conducted, and Cronbach-alpha coefficients were calculated to confirm the validity and reliability of the measuring instrument. The 6 task-based latent variables were confirmed by the exploratory factor analysis. However, all the other latent variables, as originally intended in the theoretical model, could not be confirmed. Instead, 3 dependent variables were identified, namely Financial performance, Growth performance and Satisfaction with work and family relationships, and 6 relational-based constructs, with some changes, did emerge. Structural Equation Modelling (SEM) was the main statistical procedure used to test the significance of the relationships hypothesised between the various independent and dependent variables. Because of sample size restrictions the conceptual model could not be subjected to SEM as a whole; consequently 10 submodels were identified and subjected to further analysis. The following independent variables were identified as influencing the dependent variables in this study: • Internal context • Complementary skills • Leadership • Shared dream • Fairness • Sibling relationship • Non-family members • No other family members (spouses and non-active siblings) In addition, the factors Complementary skills, Leadership, Past parent involvement, No present parent involvement, and No other family members, were identified as significantly influencing the relationship between the siblings involved in the Sibling Partnership. Furthermore, an Analysis of Variance (ANOVA), Multiple Linear Regression analysis and t-tests were undertaken to determine the influence of demographic variables on the dependent variables. How ownership is shared in a family business involving siblings, the shareholding between the siblings themselves, and the nature of leadership between the siblings, has been found to influence the iv dependent variables in the present study. In addition, a Sibling Partnership is likely to perform most effectively when it is composed of a relatively young sibling team that has a small age gap between the members, and business performance will improve as the siblings gain work experience together, and as the number of employees increase. This study has added to the empirical body of family business research by investigating a particularly limited segment of the literature, namely Sibling Partnerships in family businesses. By identifying and developing various models that outline the most significant factors that influence the success of such family business partnerships, this study offers recommendations and suggestions for managing family businesses involving siblings, in such a way as to enrich their family relationships and to improve the financial performance of their businesses.
- Full Text:
- Date Issued: 2009
- Authors: Farrington, Shelley Maeva
- Date: 2009
- Subjects: Family-owned business enterprises -- South Africa -- Management , Family corporations -- South Africa -- Management , Families -- Economic aspects -- South Africa , Small business -- Management -- South Africa , Family-owned business enterprises -- Succession -- South Africa
- Language: English
- Type: Thesis , Doctoral , DCom
- Identifier: vital:9289 , http://hdl.handle.net/10948/952 , Family-owned business enterprises -- South Africa -- Management , Family corporations -- South Africa -- Management , Families -- Economic aspects -- South Africa , Small business -- Management -- South Africa , Family-owned business enterprises -- Succession -- South Africa
- Description: Given the predicted increase in the number of family businesses owned and/or managed by siblings (Sibling Partnerships), as well as the lack of understanding and research attention given to such sibling teams, the purpose of this study was to contribute to the more effective functioning of such family businesses in South Africa by identifying the factors that impact on their success. With this purpose in mind, the primary objective was to identify, investigate and empirically test the possible influences of, and relationships between, various factors and the Perceived success of Sibling Partnerships. This study sets out to integrate prior findings and theories on team effectiveness and family relationships, to find support for these theories in the family business literature, and to incorporate these findings into a comprehensive model. The literature study revealed 5 main categories (context, composition, structure, processes, and people) of constructs influencing the Perceived success of sibling teams. Within these 5 main constructs, 13 underlying independent variables were identified and hypothesised to influence measures of effectiveness of sibling teams, namely the dependent variable Perceived success, and the 2 intermediate variables Financial performance and Family harmony. Of the 13 underlying independent variables, 6 were categorised as task-based and 7 as relational-based factors. In addition, hypotheses were formulated for possible relationships between the various task-based constructs (context, composition and structure) and the processes and people constructs. Each construct was clearly defined and then operationalised. Operationalisation was done by using reliable and valid items sourced from tested measuring instruments used in previous studies, as well as several self-generated items based on secondary sources. A structured questionnaire was made available to respondents identified by means of the convenience snowball sampling technique, and the data collected from 371 usable questionnaires was subjected to various statistical analyses. An exploratory factor analysis was conducted, and Cronbach-alpha coefficients were calculated to confirm the validity and reliability of the measuring instrument. The 6 task-based latent variables were confirmed by the exploratory factor analysis. However, all the other latent variables, as originally intended in the theoretical model, could not be confirmed. Instead, 3 dependent variables were identified, namely Financial performance, Growth performance and Satisfaction with work and family relationships, and 6 relational-based constructs, with some changes, did emerge. Structural Equation Modelling (SEM) was the main statistical procedure used to test the significance of the relationships hypothesised between the various independent and dependent variables. Because of sample size restrictions the conceptual model could not be subjected to SEM as a whole; consequently 10 submodels were identified and subjected to further analysis. The following independent variables were identified as influencing the dependent variables in this study: • Internal context • Complementary skills • Leadership • Shared dream • Fairness • Sibling relationship • Non-family members • No other family members (spouses and non-active siblings) In addition, the factors Complementary skills, Leadership, Past parent involvement, No present parent involvement, and No other family members, were identified as significantly influencing the relationship between the siblings involved in the Sibling Partnership. Furthermore, an Analysis of Variance (ANOVA), Multiple Linear Regression analysis and t-tests were undertaken to determine the influence of demographic variables on the dependent variables. How ownership is shared in a family business involving siblings, the shareholding between the siblings themselves, and the nature of leadership between the siblings, has been found to influence the iv dependent variables in the present study. In addition, a Sibling Partnership is likely to perform most effectively when it is composed of a relatively young sibling team that has a small age gap between the members, and business performance will improve as the siblings gain work experience together, and as the number of employees increase. This study has added to the empirical body of family business research by investigating a particularly limited segment of the literature, namely Sibling Partnerships in family businesses. By identifying and developing various models that outline the most significant factors that influence the success of such family business partnerships, this study offers recommendations and suggestions for managing family businesses involving siblings, in such a way as to enrich their family relationships and to improve the financial performance of their businesses.
- Full Text:
- Date Issued: 2009
Assessing quality management systems of SMME's in the manufacturing sector
- Authors: Prince, Shawn Noel
- Date: 2008
- Subjects: Production management -- Quality control , Quality control -- Manufactures , Small business -- Management -- South Africa , Quality management -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MBA
- Identifier: vital:8729 , http://hdl.handle.net/10948/870 , Production management -- Quality control , Quality control -- Manufactures , Small business -- Management -- South Africa , Quality management -- South Africa -- Eastern Cape
- Description: This dissertation summarises an analysis and assessment of the application of Quality Management Systems (QMS) by Small, Medium and Micro Enterprises (SMMEs), in the Engineering Manufacturing Sector of the greater Cape Town Metropolitan area. An outline of the existing hypothesis derived from previous international SMME studies related to the adoption of QMS by SMME’s, the management’s understanding of quality principles, the potential business benefits of QMS and the reasons for implementing Quality Management systems are given as background to the study. The dissertation includes a discussion of literature on the state of QMS in SMMEs, in particular, recent international research literature hypothesising that SMME management lack essential QMS knowledge and that, in general, most SMME’s do not have a QMS and that SMMEs only implement a QMS as a result of contractual pressures / requirements. Also reported are the results and findings of a survey conducted to test the validity of the existing hypotheses amongst a representative sample of Engineering Manufacturing SMMEs registered with the Cape Regional Chamber of Commerce and Industry in the Western Cape. Results of the survey indicate that almost 90 percent, of the companies surveyed had some type of Quality management System, the only two companies that reported not having a QMS, were companies classified as “Micro”, in terms of the National Small business Act. Analysis of the response to the survey concludes that, in general, more than 80 percent of Engineering SMMEs in the Manufacturing Sector have adopted a QMS based on ISO 9001 and that, on average, their management have a medium to high level of understanding of QMS and the associated business benefits. It is also apparent from survey responses, that companies classified as “Micro” in terms of the Small Business Act of 1996, do not see the need for a formal QM system as the owners of these companies consider them too small for a formal QMS. Instead they take direct ownership of their service and product quality in the face of the customer.
- Full Text:
- Date Issued: 2008
- Authors: Prince, Shawn Noel
- Date: 2008
- Subjects: Production management -- Quality control , Quality control -- Manufactures , Small business -- Management -- South Africa , Quality management -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MBA
- Identifier: vital:8729 , http://hdl.handle.net/10948/870 , Production management -- Quality control , Quality control -- Manufactures , Small business -- Management -- South Africa , Quality management -- South Africa -- Eastern Cape
- Description: This dissertation summarises an analysis and assessment of the application of Quality Management Systems (QMS) by Small, Medium and Micro Enterprises (SMMEs), in the Engineering Manufacturing Sector of the greater Cape Town Metropolitan area. An outline of the existing hypothesis derived from previous international SMME studies related to the adoption of QMS by SMME’s, the management’s understanding of quality principles, the potential business benefits of QMS and the reasons for implementing Quality Management systems are given as background to the study. The dissertation includes a discussion of literature on the state of QMS in SMMEs, in particular, recent international research literature hypothesising that SMME management lack essential QMS knowledge and that, in general, most SMME’s do not have a QMS and that SMMEs only implement a QMS as a result of contractual pressures / requirements. Also reported are the results and findings of a survey conducted to test the validity of the existing hypotheses amongst a representative sample of Engineering Manufacturing SMMEs registered with the Cape Regional Chamber of Commerce and Industry in the Western Cape. Results of the survey indicate that almost 90 percent, of the companies surveyed had some type of Quality management System, the only two companies that reported not having a QMS, were companies classified as “Micro”, in terms of the National Small business Act. Analysis of the response to the survey concludes that, in general, more than 80 percent of Engineering SMMEs in the Manufacturing Sector have adopted a QMS based on ISO 9001 and that, on average, their management have a medium to high level of understanding of QMS and the associated business benefits. It is also apparent from survey responses, that companies classified as “Micro” in terms of the Small Business Act of 1996, do not see the need for a formal QM system as the owners of these companies consider them too small for a formal QMS. Instead they take direct ownership of their service and product quality in the face of the customer.
- Full Text:
- Date Issued: 2008
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