Identification of significant financial performance indicators for the Indian construction companies

2020 ◽  
pp. 1-11
Author(s):  
Neelu Nandan Vibhakar ◽  
Kamalendra Kumar Tripathi ◽  
Sparsh Johari ◽  
Kumar Neeraj Jha
Keyword(s):  
Financial Performance ◽  
Performance Indicators ◽  
Construction Companies

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 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.

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%.

ALOKASI ANGGARAN, INTELLECTUAL CAPITAL, KINERJA KEUANGAN, DAN INDIKATOR KINERJA UTAMA BADAN LAYANAN UMUM

2021 ◽  
Vol 07 (01) ◽  
Author(s):  
Setyo Budi Hartono ◽  
◽  
Wahab Zaenuri ◽  
Fania Mutiara Savitri ◽  
Dessy Noor Farida ◽  
...  
Keyword(s):  
Human Resources ◽  
Financial Performance ◽  
Path Analysis ◽  
Intellectual Capital ◽  
Performance Indicators ◽  
Intangible Assets ◽  
Budget Allocation ◽  
Intangible Asset ◽  
Tangible Assets ◽  
Tangible Asset

Abstrak: Penelitian ini ditujukan pada anggaran dalam bentuk intangible asset (sumber daya manusia) dan tangible asset (aset tetap dan persediaan) yang diprediksi dapat mempengaruhi intellectual capital, kinerja keuangan sekarang dan mendatang, serta indikator kinerja utama. Alokasi anggaran sebagai baromater prioritas dalam mengembangkan intellectual capital ditujukan untuk memenuhi performa keuangan bagi indikator kinerja utama organisasi. Populasi yang juga menjadi sampel yaitu unit dan fakultas pada UIN Walisongo Semarang sebanyak 30 unit. Metode pengambilan sampling menggunakan teknik sampel jenuh yang mengambil seluruh populasi. Data yang digunakan adalah data sekunder berupa laporan tahunan dan laporan pencapaian indikator kinerja utama tahun 2019-2020. Analisis data menggunakan path analysis. Hasil penelitian ini adalah alokasi APBN tahun 2019 UIN Walisongo hanya terfokus pada tangible asset sebesar 82%, sementara 18% dialokasikan untuk intangible asset. Intangible asset tidak berpengaruh secara terhadap semua hubungan, hanya tangible asset saja yang dapat mempengaruhi intellectual capital secara langsung dan kinerja keuangan sekarang secara tidak langsung. Berdasarkan hasil penelitian ini menunjukkan perlu dilakukan audit sumber daya manusia sehingga dapat ditetapkan alokasi kebutuhan anggaran bagi intangible asset-nya. Abstract: This research is aimed at the budget in the form of intangible assets (human resources) and fixed assets and inventories that are predicted to affect intellectual capital, current and future financial performance, as well as key performance indicators. Budget allocation as a priority barometer in developing intellectual capital is aimed at meeting financial performance for the organization's main performance indicators. The population that is also a sample is 30 units and architecture at UIN Walisongo Semarang. The sampling method uses a saturated sample technique that takes the entire population. The data used is secondary data in the form of annual reports and performance indicator reports for 2019-2020. Data analysis using path analysis. The results of this study were that the 2019 State Budget allocation of UIN Walisongo only focused on tangible assets by 82%, while 18% was allocated for intangible assets. Intangible assets do not affect all relationships, only tangible assets can directly affect intellectual capital and current financial performance indirectly. Results Based on this research, it is necessary to conduct an audit of human resources so that they can determine the allocation of budget requirements for intangible assets.

scholarly journals KINERJA PENGELOLAAN KEUANGAN DAERAH DALAM MENINGKATKAN ANGGARAN PENDAPATAN DAN BELANJA DAERAH KOTA PALEMBANG PROVINSI SUMATERA SELATAN

2018 ◽  
Vol 3 (2) ◽  
pp. 383
Author(s):  
Krisnawati Arum Kusuma Wardhani
Keyword(s):  
Local Government ◽  
Financial Performance ◽  
Performance Management ◽  
Performance Indicators ◽  
Financial Management ◽  
High Rate ◽  
Regional Income ◽  
Regional Finance ◽  
Fact Finding ◽  
Personnel Expenditure

This research is aimed to find out how the performance of regional financial management of Palembang City in increasing APBD of Palembang City, and how to proportion of revenue and expenditure target of APBD Kota Palembang. The theory used in this study is the concept of performance analysis of regional finances according to Mahmudi (2010), which examines the performance of management of regional keunagan based on the financial performance indicators of regional income and financial performance of Regional Expenditure during the period of 2010 to 2015. In accordance with the focus, Qualitative design, to describe the state of subject / object of research based on facts that appear or as it is (fact finding). Data collection was done by observation, interview, and documentation technique. The result of research shows that the growth of APBD from the side of regional income shows that there is a trend of revenue increase from PAD post, but in general the balancing fund positions still dominate the regional income, so that the high rate of regional dependency is balanced fund. While from the side of regional expenditure, it is envisaged that every year the Local Government of Palembang City always allocates a larger budget to the indirect spending group. This indicates that the Local Government of Palembang City still allocates more budget for things that are not directly related to the implementation of the program such as personnel expenditure in the form of salaries and allowances regulated in law, interest expenditure, grant expenditure, social assistance expenditure, Results to provinces / districts / municipalities and village governments, unexpected financial aid and shopping expenditures.Keywords: Performance, Management, Regional Finance.

scholarly journals EXAMINATION OF MOBILE COMMUNICATION SERVICE PROVIDERS IN LATVIA

2020 ◽  
Vol 1 (12) ◽  
pp. 118
Author(s):  
Viktorija Maļkeviča ◽  
Anda Zvaigzne ◽  
Sandra Murinska
Keyword(s):  
Information Retrieval ◽  
Financial Performance ◽  
Communication Technology ◽  
Mobile Communication ◽  
Performance Indicators ◽  
Essential Role ◽  
Service Providers ◽  
Communication Service ◽  
Key Factors ◽  
Third Place

The development of telecommunications plays an essential role in the economy, as it affects the opportunities for communication between economic actors at both the national and global levels. Today mobile communication companies, which provide quality communication and information retrieval opportunities through the variety of their services, technological features and tariff plans, are important telecommunication providers. The aim of the present research is to examine the leading mobile communication service providers in Latvia by employing the theoretical findings of communication technology and telecommunications.The research used the following methods: monographic, induction and deduction, graphic, comparison, as well as competitiveness assessment based on the competitiveness index.The research described the theoretical aspects of telecommunications, examined the leading mobile communication service providers in Latvia, their most important financial performance indicators, services and tariff plans offered as well as assessed their competitiveness.Examining the mobile tariff plans and the services included therein, it was found that they were quite similar. However, an examination of each offer in more detail revealed that there were many nuances that were important to the client and that should be paid attention to.After assessing the competitiveness of the leading mobile communication providers, it was concluded that Latvijas Mobilas Telefons scored the highest number of points, Bite Latvija was in second place and Tele 2 took third place. An assessment of the key factors of competitiveness for the providers revealed that the company Latvijas Mobilais Telefons needed to improve the positions where its competitors had higher ratings: its discount system, the prices of services and the supply of services.

scholarly journals EXAMINATION OF THE EFFECT OF LOGISTICS FUNCTIONS ON FINANCIAL PERFORMANCE OF ORGANIZATION

2021 ◽  
Vol 8 (3) ◽  
pp. 18-26
Author(s):  
Boye AYANTOYINBO ◽  
Adeolu GBADEGESIN
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Financial Performance ◽  
Performance Indicators ◽  
Secondary Data ◽  
Manufacturing Companies ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Subject ◽  
Logistic Functions

The contributions of logistics functions to the performance of an organization have been the subject of research over the years. Thus, this present study further examined the effect of outbound logistics functions on financial performance of quoted manufacturing companies in Nigeria. Panel data regression analysis was employed to test the effect of logistics functions on financial performance of the selected companies over a period of five years (2015-2019). Logistic functions costs and financial performance indicators were extracted from secondary data.  The findings of the study showed that logistics function has a positive and significant effect on financial performance of manufacturing companies in Nigeria. Therefore, the companies are implored to pay more attention to logistics functions when aiming at a better financial performance.

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