Identifying intangible resources to enhance profitability strategies of Small-Medium Scale Construction Firms (SMSCFs) in developing countries

Asamoah, Richard Oduro; Baiden, Bernard Kofi; Nani, Gabriel; Kissi, Ernest

doi:10.1080/15623599.2020.1774835

Cited by 6 publications

(3 citation statements)

References 34 publications

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“…The results of previous research conducted by (Inkinen, 2015;Still, Huhtamäki, & Russell, 2013) and (Inkinen, 2015) state that capital adequacy has a positive and significant effect on profitability. The results of this study are reinforced by the results of research by (Rachim et al, 2021) and (Ali, 2021), research by (Asamoah, Baiden, Nani, & Kissi, 2020) which states that Capital Adequacy Ratio give a positive influence on the profitability of the company. Based on this description, the first hypothesis used in this study can be arranged as follows: H1: CAR has a significant positive effect on ROA…”

Section: Relationship Between Variables and Hypotheses Effect Of Car ...supporting

confidence: 53%

“…The higher the CAR, the stronger the bank's ability to bear the risk of any risky loans or earning assets or in other words, the higher its capital adequacy to bear the risk of bad loans, so that the bank's performance is better, and can increase public confidence in banks that which results in increased profits. The results of previous research conducted by (Asamoah et al, 2020) and (Rachim et al, 2021) state that capital adequacy has a positive and significant effect on profitability, which means that the higher the capital adequacy of a company, the higher the chance for the company to generate profits. (Kadioglu, Telceken, & Ocal, 2017) states that company size is able to moderate the relationship between capital adequacy and company profitability.…”

Section: Company Size Moderates the Effect Of Car On Roamentioning

confidence: 99%

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The Moderation Role of Company Size in Increasing Profitability in the Sector Banking

Resmawan¹,

Kawiana²,

Wijaya³

2023

JEFMS

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Profitability has an important meaning in an effort to maintain the continuity of the company, because profitability shows whether the business entity has good prospects in the future. Based on data obtained in the annual reports of Rural Banks (BPR) throughout Denpasar City, the profitability of BPRs over the last six years has decreased significantly. The formulation of the research problem is how is the effect of the Capital Adequacy Ratio and Loan to Deposit Ratio moderated by Company Size on Profitability in BPRs throughout the City of Denpasar? This study uses a quantitative descriptive approach with secondary data sources. The research population is all BPRs in Denpasar City, totaling 22 units. Determination of the sample using purposive sampling in order to obtain 20 BPR units as a sample and 120 observational data. The research instrument uses documentation techniques or non-participant observation. Methods of data analysis using descriptive analysis and inferential analysis with moderation or moderated regression analysis The results of the study show that the Capital Adequacy Ratio has no effect on Return on Assets. Loan to Deposit Ratio has a positive and significant effect on Return on Assets. Company size is not able to moderate the effect of Capital Adequacy Ratio on Return on Assets. Company size is able to moderate the effect of Loan to Deposit Ratio on Return on Assets. The implication of the research is that this research provides information for BPRs throughout Denpasar City regarding the effect of Capital Adequacy Ratio and Loan to Deposit Ratio on Return on Assets which is moderated by Firm Size so that BPR management throughout Denpasar City can determine future policy directions in order to increase profitability and progress BPR in Denpasar City.

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Section: Relationship Between Variables and Hypotheses Effect Of Car ...supporting

confidence: 53%

Section: Company Size Moderates the Effect Of Car On Roamentioning

confidence: 99%

The Moderation Role of Company Size in Increasing Profitability in the Sector Banking

Resmawan¹,

Kawiana²,

Wijaya³

2023

JEFMS

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“…Efficient project resource management and accurate risk prediction are pivotal for ensuring smooth project execution and attaining desired outcomes. Asamoah et al elucidated that scientific research projects necessitate both tangible and intangible resources 23 , encompassing materials, equipment, personnel, funding, and time. The judicious allocation and optimal utilization of these resources significantly influence project progress and outcomes.…”

Section: Related Workmentioning

confidence: 99%

A method for managing scientific research project resource conflicts and predicting risks using BP neural networks

Dong,

Qiu

2024

Sci Rep

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This study begins by considering the resource-sharing characteristics of scientific research projects to address the issues of resource misalignment and conflict in scientific research project management. It comprehensively evaluates the tangible and intangible resources required during project execution and establishes a resource conflict risk index system. Subsequently, a resource conflict risk management model for scientific research projects is developed using Back Propagation (BP) neural networks. This model incorporates the Dropout regularization technique to enhance the generalization capacity of the BP neural network. Leveraging the BP neural network’s non-linear fitting capabilities, it captures the intricate relationship between project resource demand and supply. Additionally, the model employs self-learning to continuously adapt to new scenarios based on historical data, enabling more precise resource conflict risk assessments. Finally, the model’s performance is analyzed. The results reveal that risks in scientific research project management primarily fall into six categories: material, equipment, personnel, financial, time, and organizational factors. This study’s model algorithm exhibits the highest accuracy in predicting time-related risks, achieving 97.21%, surpassing convolutional neural network algorithms. Furthermore, the Root Mean Squared Error of the model algorithm remains stable at approximately 0.03, regardless of the number of hidden layer neurons, demonstrating excellent fitting capabilities. The developed BP neural network risk prediction framework in this study, while not directly influencing resource utilization efficiency or mitigating resource conflicts, aims to offer robust data support for research project managers when making decisions on resource allocation. The framework provides valuable insights through sensitivity analysis of organizational risks and other factors, with their relative importance reaching up to 20%. Further research should focus on defining specific strategies for various risk factors to effectively enhance resource utilization efficiency and manage resource conflicts.

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Predicting Corporate Financial Failure Using Sigmoidal Opposition-Based Arithmetic Optimization Algorithm

Khaldi,

Manita,

Chhabra

et al. 2024

Comput Econ

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Identifying intangible resources to enhance profitability strategies of Small-Medium Scale Construction Firms (SMSCFs) in developing countries

Cited by 6 publications

References 34 publications

The Moderation Role of Company Size in Increasing Profitability in the Sector Banking

The Moderation Role of Company Size in Increasing Profitability in the Sector Banking

A method for managing scientific research project resource conflicts and predicting risks using BP neural networks

Predicting Corporate Financial Failure Using Sigmoidal Opposition-Based Arithmetic Optimization Algorithm

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