scholarly journals Level of Financial Performance of Selected Construction Companies in South Africa

2021 ◽  
Vol 14 (11) ◽  
pp. 518
Author(s):  
Emmanuel Dele Omopariola ◽  
Abimbola Windapo ◽  
David John Edwards ◽  
Hatem El-Gohary
Keyword(s):  
South Africa ◽  
Financial Performance ◽  
Performance Indicators ◽  
Management Skills ◽  
Staff Members ◽  
Construction Companies ◽  
Construction Organizations ◽  
Significant Difference ◽  
Positive Cash Flow ◽  
Performance Projects

Purpose—There is no consensus on the indicators that assess a construction company’s financial performance projects undertaken. There is also a dearth of concepts on the financial performance indicators for construction companies in South Africa and indeed, the wider continent of Africa. This paper proposes novel financial performance indicators for assessing construction organizations and tests these on selected construction companies in the South African construction industry. Design/methodology/approach—This research employed a pragmatic approach. Contractors with financial credibility and capacity of ≥R 40 million, annual turnover of ≥R 20 million, and available capital of ≥R 40 million were purposively selected for this study. Parameters such as total revenue, direct cost of work, total indirect cost and total income were elicited from the sample contractors to assess their financial performance. The assessment was undertaken using formulas that were formulated based on the descriptions provided under the research methodology. Further analysis was conducted using post hoc Tukey’s honest significant difference (HSD). Findings—The study finds that construction companies with a strong structure, multiple areas of specialization, creative and efficient staff members, and access to funding, have a greater chance of experiencing higher: income; positive leverage; positive liquidity; and positive cash flow. Moreover, companies with specialization in civil engineering construction and project management skills experienced higher positive liquidity and profitability. Originality/value—This research is unique through its investigation and formulation of indicators for assessing the financial performance of construction companies. This research is consequently representing the first attempt to analyze financial data using the approaches prescribed and adopted.

scholarly journals The Level of Academic Leaders’ Mastery of the Intangibles Management Skills and its Role in Achieving the Competitive Advantage of Saudi Universities: A Field Study

2021 ◽  
Vol 45 (1) ◽  
pp. 235-265
Keyword(s):  
Competitive Advantage ◽  
Academic Rank ◽  
Teaching Staff ◽  
Management Skills ◽  
Academic Leaders ◽  
Staff Members ◽  
Significant Difference ◽  
Mastery Level ◽  
College Type ◽  
The Relationship

This study aimed to examine the academic leaders' mastery level in emerging Saudi universities of intangibles management skills and explore the relationship between mastery levels and achieving a competitive advantage. A total of 330 randomly selected teaching staff members at Prince Sattam Bin Abdulaziz University responded to a questionnaire developed by the researcher. Findings showed that (a) the academic leaders' mastery level of intangibles knowledge management skills at university was high, (b) there was a positive relationship between mastery level and achieving a competitive advantage, and (c) there was no statistically significant difference about mastery level due to college type or academic rank or the nature of work while there was a statistically significant difference due to gender in favor of males. Regarding achieving a competitive advantage, the study revealed that there were no statistically significant differences due to college type and academic rank while there was a statistically significant difference due to gender in favor of males and the nature of work in favor of expatriates. The researcher recommended providing the current and the second class of leaders with intangibles management skills and enacting a clear law to protect intellectual capital from strict restrictions by toxic, dictatorial, or bureaucratic leaderships and from the misuse of rigid systems of accountability or traditional censorship.

The competitive edge of construction

2017 ◽  
Vol 33 (3) ◽  
pp. 31-33
Keyword(s):  
South Africa ◽  
Management Style ◽  
Market Place ◽  
Content Type ◽  
Construction Companies ◽  
Competitive Edge ◽  
Construction Organizations ◽  
Pertinent Information ◽  
And Performance ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings The construction industry is arguably one of the most competitive, no more so than in South Africa. Understanding how organizational characteristics can mediate between competitive strategy and performance allows for the potential of improving how construction organizations form themselves, to gain a competitive advantage. Oynekunle et al. (2016) have looked at 72 large construction companies in South Africa, looking to identify what aspects have the greatest influence on performance, and how to make construction organizations more robust in such a turbulent market place. While much is dependent on individual approaches to management style and structuring in an organization, it is possible to identify ways in which any organization can boost performance and beat the competition. Practical implications The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

An empirical analysis of the exit of SMEs tendering for public works in the Japanese construction industry

2014 ◽  
Vol 19 (2) ◽  
pp. 101-116 ◽  
Author(s):  
Yukiko Konno
Keyword(s):  
Financial Performance ◽  
Construction Industry ◽  
Empirical Analysis ◽  
Performance Indicators ◽  
Public Works ◽  
Content Type ◽  
Construction Companies ◽  
Binary Logit ◽  
Entry Qualifications ◽  
The Empirical Analysis

Purpose – The purpose of this study is to examine what factors affect the exit of small and medium-sized enterprises (SMEs) from tendering for public works in the Japanese construction industry using the Keiei Jikou Sinsa or Keisin (the database for evaluation of construction companies in Japan). Design/methodology/approach – This study empirically analyzes SMEs’ exit using the binary logit model. For the empirical analysis, it uses the scores as well as financial and non-financial performance indicators of Keisin data. Findings – The Keisin scores (the total score and W score), financial performance indicators (cash flow from operations and capital) and non-financial performance indicators (having unemployment insurance and operating years) significantly affect SME exits. Although the Keisin data are used for bid entry qualifications of public works, they can be applied to a factor analysis of the exit of SMEs in the construction industry. Originality/value – As there exists little empirical analysis of the exit of SMEs globally, this study contributes to the research on this phenomenon.

scholarly journals Does capital structure affect the differences in the financial performance of small enterprises?

2021 ◽  
Vol 26 (3) ◽  
pp. 72-80
Author(s):  
Aleksandra Stoiljković ◽  
Slavica Tomić ◽  
Ozren Uzelac
Keyword(s):  
Capital Structure ◽  
Financial Performance ◽  
Effect Size ◽  
Performance Indicators ◽  
Small Enterprises ◽  
Financial Leverage ◽  
Anova Analysis ◽  
Significant Difference ◽  
Small Effect Size ◽  
Common Problems

Capital structure refers to the combination of debt and equity that the company uses to finance overall operations and growth. One of the most common problems of small enterprises is difficult access to various sources of financing, which is certainly reflected in their capital structure. Deciding on capital structure is one of the most important activities in the company, given that it significantly determines the performance of the company, but also the competitiveness and sustainability of the business. The aim of the study was to investigate whether there is a significant difference in financial performance between enterprises belonging to different leverage levels. Financial leverage was calculated by dividing total debts to total assets and based on leverage the companies are divided into 3 groups. Using ANOVA analysis, we found that the only difference in financial performance indicators was observed with NPM (but with a small effect size: eta square = 0.0470), whereas no statistically significant difference was observed between the groups in the ROE and ROA indicators.

Modelling the financial performance of construction companies using neural network via genetic algorithm

2014 ◽  
Vol 41 (11) ◽  
pp. 945-954 ◽  
Author(s):  
H.H. Mohamad ◽  
A.H. Ibrahim ◽  
H.H. Massoud
Keyword(s):  
Neural Network ◽  
Financial Performance ◽  
Performance Indicators ◽  
Financial Statements ◽  
Financial Indicators ◽  
Working Capital ◽  
Predictive Capability ◽  
Construction Companies ◽  
Work Volume ◽  
Net Profit

Net profit, annual work volume, and working capital can be considered as the main financial performance indicators for any construction company. Sufficient liquidity must be properly assessed to ensure the survival of the business in both short-term and long-term bases. Large amount of working capital simply means idle funds in a form of current assets that does not gain any profit for the company. On other hand, small amount of working capital means that the company is unable to meet its liabilities and it faces complexity to participate in new project tenders, as a consequence its annual work volume might be decreased. Then, the excess or shortage of working capital affects badly the companies’ profitability. Hence, it is obvious that the construction companies’ working capital, net profit, and annual work volume constitute three interrelated financial performance indicators that have to be appropriately assessed. The present study aims to develop a model to help the construction companies’ managers to assess and forecast their companies’ financial performance indicators: working capital, net profit, and annual work volume. Through this research, the genetic algorithm technique (GA) will be integrated with the neural network technique (NN) to develop the proposed model. The developed model will be able to predict the three financial performance indicators: working capital, net profit, and annual work volume, for an upcoming year based on previously published financial statements data. A comprehensive literature review was conducted and 23 factors were identified as the most influencing factors on the construction companies’ financial indicators: working capital, net profit, and annual work volume. One hundred and sixty four Egyptian construction companies’ financial statements were gathered and analyzed to extract data regarding the identified 23 factors. The extracted data were used to develop a NN–GA hybrid and NN only models to assess the construction companies’ financial indicators. The two developed model outputs are compared to evaluate their predictive capability. This comparison showed that, the NN–GA hybrid model predictive capability is better than the NN only model predictive capability. Incorporating the GA enhances the predicting capability of the developed model by an average of 4.0%.

Cranial crassicaudiasis in two coastal dolphin species from South Africa is predominantly a disease of immature individuals

2020 ◽  
Vol 139 ◽  
pp. 93-102 ◽  
Author(s):  
MF Van Bressem ◽  
P Duignan ◽  
JA Raga ◽  
K Van Waerebeek ◽  
N Fraijia-Fernández ◽  
...  
Keyword(s):  
South Africa ◽  
Bone Development ◽  
Bottlenose Dolphins ◽  
Fatal Outcome ◽  
Population Level ◽  
Cape Coast ◽  
Osteolytic Lesions ◽  
Immune Mediated ◽  
Significant Difference ◽  
The Difference

Crassicauda spp. (Nematoda) infest the cranial sinuses of several odontocetes, causing diagnostic trabecular osteolytic lesions. We examined skulls of 77 Indian Ocean humpback dolphins Sousa plumbea and 69 Indo-Pacific bottlenose dolphins Tursiops aduncus, caught in bather-protecting nets off KwaZulu-Natal (KZN) from 1970-2017, and skulls of 6 S. plumbea stranded along the southern Cape coast in South Africa from 1963-2002. Prevalence of cranial crassicaudiasis was evaluated according to sex and cranial maturity. Overall, prevalence in S. plumbea and T. aduncus taken off KZN was 13 and 31.9%, respectively. Parasitosis variably affected 1 or more cranial bones (frontal, pterygoid, maxillary and sphenoid). No significant difference was found by gender for either species, allowing sexes to be pooled. However, there was a significant difference in lesion prevalence by age, with immature T. aduncus 4.6 times more likely affected than adults, while for S. plumbea, the difference was 6.5-fold. As severe osteolytic lesions are unlikely to heal without trace, we propose that infection is more likely to have a fatal outcome for immature dolphins, possibly because of incomplete bone development, lower immune competence in clearing parasites or an over-exuberant inflammatory response in concert with parasitic enzymatic erosion. Cranial osteolysis was not observed in mature males (18 S. plumbea, 21 T. aduncus), suggesting potential cohort-linked immune-mediated resistance to infestation. Crassicauda spp. may play a role in the natural mortality of S. plumbea and T. aduncus, but the pathogenesis and population level impact remain unknown.

No Significant Difference in Service Learninng Online

2012 ◽  
Vol 16 (4) ◽  
Author(s):  
Sue Y. McGorry
Keyword(s):  
Higher Education ◽  
Service Learning ◽  
Institutions Of Higher Education ◽  
Management Skills ◽  
Program Outcomes ◽  
Online Delivery ◽  
Leadership And Management ◽  
Business Programs ◽  
Face To Face ◽  
Significant Difference

Institutions of higher education are realizing the importance of service learning initiatives in developing awareness of students’ civic responsibilities, leadership and management skills, and social responsibility. These skills and responsibilities are the foundation of program outcomes in accredited higher education business programs at undergraduate and graduate levels. In an attempt to meet the needs of the student market, these institutions of higher education are delivering more courses online. This study addresses a comparison of traditional and online delivery of service learning experiences. Results demonstrate no significant difference in outcomes between the online and face-to-face models.

PERBEDAAN FINANCIAL PERFORMANCE PASCA SECONDARY OFFERINGS

Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 41-49
Author(s):  
Djaja Perdana ◽  
Herbowo Herbowo
Keyword(s):  
Financial Performance ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Poor Performance ◽  
Rank Test ◽  
Growth Ratio ◽  
Significant Difference ◽  
Before And After ◽  
Signed Rank Test ◽  
Asset Turnover

This study aims to examine the differences in corporate financial performance before and after secondary offerings. The financial performance is proxied by WCR, DER, Solvency, ROA, ROE, Asset Turnover (ATO) and Growth ratio which representing the value of liquidity, financing, activity, performance and growth of the firm. The study involved 67 samples of the companies listed on the Indonesia Stock Exchange conducting secondary offerings during 2008-2013 period and selected through purposive random sampling method and using Financial Statement data from 2005-2016 period. Hypothesis test is performed using Wilcoxon Signed Rank test. The results of this study indicate that there is no significant difference in the ratio of Solvency, ROA and ROE between before and after secondary offerings, but there are significant differences in the ratio of WCR, DER, Asset Turnover and Growth. WCR ratio after secondary offerings increased, while DER ratio after secondary offerings decreased, the condition of both ratios showed better performance. While the indication of poor performance seen in decreasing asset turnover ratio and growth ratio.Keywords : agency theory, financial performance, secondary offerings

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