Background: Municipalities have come under fire for providing inferior services, which has sparked protests across the nation. Fraud, corruption, misappropriation of public funds and general incompetence on the part of municipal managers and their staff have been the problems that have crippled most municipalities.Aim: To investigate the association between the municipal credit management policy, responsiveness and service delivery, within a Sedibeng district municipality.Methods: This study applied quantitative analysis. The primary data were collected from residents through a self-administered questionnaire. Statistical Package for the Social Sciences (SPSS) (Version 28) was applied to perform the descriptive analysis and correlational analysis.Results: Key findings of this study revealed a significant positive correlation between credit management and service provision. The relationship between the credit management policy, responsiveness to credit management and service delivery is substantial. Therefore, the quality of service delivery increases with improved credit management.Conclusion: The study showed that there is a significant connection between credit management, credit management responsiveness and service delivery.Contribution: Based on the findings, it was advised that the municipality should implement rebates and discounts for paying customers, constantly review crucial credit policies and ensure the provision of high-quality services. The study concluded that there is an association between credit management, responsiveness and service delivery.
Investors consider both earnings and dividend information when analysing the performance of an entity (Koppeschaar Koppeschaar, Sturdy, Du Toit, Deysel, Rossouw, Van Wyk, Gaie-Booysen, Papageorgiou, Smith & Van der Merwe, 2015). The objective of the study was to determine whether the share price performance of the top 40 JSE listed companies depend more on BEPS or DPS. The study focused on the top 40 JSE listed firms as sample, while data were collected for the period 2012 to 2016. Information was gathered on EPS, DPS and share prices with aid of the INET BFA database. Collected data were analysed through application of SPSS, by measuring Pearson correlation coefficients and performing paired t-tests. Study limitations included that the sample size was limited to 40 observations, that a limited analytic period was used (2012-2016) and that the study relied on the accuracy of information provided by the INET BFA. Generalisation of research findings is therefore limited. Despite limitations, the study made a worthy contribution by indicating that investors of the top 40 JSE listed firms should rather rely on earnings measures (BEPS) than return measures (DPS) when making investment decisions, because it was statistically proven that BEPS delivers higher Pearson correlation coefficients than DPS when correlations modelling is performed for the selected analytic period.
Research aims: This study aimed to determine whether systematic risk and return are related to each other. It answered the research question: Is it realistic for investors to expect high returns when their investments are associated with more riskiness?Design/Methodology/Approach: Quantitative analysis was applied through a correlational research design. Secondary data were collected from the Integrated Real-time Equity System (IRESS). The Statistical Package for Social Sciences (SPSS) was utilised to measure a Pearson correlation coefficient and execute multiple regression analysis. This was done to test for the relationship between financial measurements of systematic risk and return, of sampled entities.Research findings: This research found that measures of systematic risk and return are not necessarily related when empirically analysed for sampled entities.Theoretical contribution/Originality: This paper indicated that the principle of the modern portfolio theory (MPT) should not be accepted as general truth. It should not be assumed that risk and return are linearly related in all financial markets under all economic circumstances. This premise is contrary to general financial management practice, where the MPT is universally accepted and even forms the basis of other financial theories.Research limitation: The use of the IRESS database posed a limitation in terms of sampling, as the database was frequently unable to present a complete set of data needed for statistical testing. Consequently, only 33 companies were sampled, as IRESS only made a complete set of required data available for these entities.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.