Search results
1 – 10 of 14Nasser Zaky, Mohamed Zaky Ahmed, Ali Alarjani and El-Awady Attia
This study aims to improve the market competitiveness of iron and steel manufacturers in developing countries by reducing their production costs.
Abstract
Purpose
This study aims to improve the market competitiveness of iron and steel manufacturers in developing countries by reducing their production costs.
Design/methodology/approach
The research methodology relies on a case study-based approach. The study relies on six steps. The first is the preparation, then the five steps of the six-sigma – define, measure, analyze, improve, control. The qualitative and quantitative data were considered. The qualitative analysis relies on the experts’ judgment of internal status. The quantitative analysis uses the job floor data from three iron and steel manufacturers. After collecting, screening and analyzing the data, the root causes of the different wastes were identified that increase production costs. Consequently, lean manufacturing principles and tools are identified and prioritized using the decision-making trial and evaluation laboratory method, and then implemented to reduce the different types of waste.
Findings
The main wastes are related to inventory, time, quality and workforce. The lean tools were proposed with the implementation plan for the discovered root causes. The performance was monitored during and after the implementation of the lean initiatives in one of the three companies. The obtained results showed an increase in some performance indicators such as throughput (70.6%), revenue from by-products (459%), inventory turnover (54%), operation availability (45%), and plant availability (41%). On the other hand, results showed a decrease of time delay (78%), man-hour/ton (52.4%) and downgraded products (63.3%).
Practical implications
The current case study findings can be utilized by Iron and Steel factories at the developing countries. In addition, the proposed lean implementation methodology can be adopted for any other industries.
Social implications
The current work introduces an original and practical road map to implement the lean six-sigma body of knowledge in the iron and steel manufacturers.
Originality/value
This work introduces an effective and practical case study-based approach to implementing the lean six-sigma body of knowledge in the iron and steel manufacturers in one of the underdevelopment countries. The consideration of the opinion of the different engineers from different sectors shows significant identification of the major problems in the manufacturing and utility sectors that lead to significant performance improvement after solving them.
Details
Keywords
Mohamed Zaki Balboula and Eman Elsayed Elfar
This paper aims to investigate the relationship between audit partner perfectionism traits and audit quality in Egypt, emphasizing the mediating role of professional skepticism.
Abstract
Purpose
This paper aims to investigate the relationship between audit partner perfectionism traits and audit quality in Egypt, emphasizing the mediating role of professional skepticism.
Design/methodology/approach
A mixed-methods approach was used, combining a questionnaire and scenario-based questions for audit partners with secondary data from audited financial statements. The relationships between study variables were tested using structural equation modeling.
Findings
Results denote a significant indirect effect between partner perfectionism traits and audit quality through their professional skepticism. Perfectionism has a significant positive impact on partner professional skepticism, and skepticism influences audit quality.
Practical implications
This study offers opportunities to enhance financial reporting quality, allowing investors to confidently allocate financial market resources. Audit firms can consider the personality traits of auditors in the selection process, team formation and designing training programs. Regulators can use these findings to consider the role of personality traits and attitudes in audit quality when developing regulations and quality assurance systems in Egypt.
Originality/value
To the best of the authors’ knowledge, no studies have examined the effect of partners’ perfectionism traits on professional skepticism and audit quality, especially in Egypt. By examining audit partners, who shape the tone at the top and are accountable for reputation, this study adds a novel dimension to understanding the impact of their qualities on audit outcomes. Moreover, combining survey and secondary data allows us to link these qualities with audit quality, objectively testing our hypotheses.
Details
Keywords
Anilkumar Chandrashekhar Korishetti and Virendra S. Malemath
High-efficiency video coding (HEVC) is the latest video coding standard that has better coding efficiency than the H.264/advanced video coding (AVC) standard. The purpose of this…
Abstract
Purpose
High-efficiency video coding (HEVC) is the latest video coding standard that has better coding efficiency than the H.264/advanced video coding (AVC) standard. The purpose of this paper is to design and develop an effective block search mechanism for the video compression-HEVC standard such that the developed compression standard is applied for the communication applications.
Design/methodology/approach
In the proposed method, an rate-distortion (RD) trade-off, named regressive RD trade-off is used based on the conditional autoregressive value at risk (CaViar) model. The motion estimation (ME) is based on the new block search mechanism, which is developed with the modification in the Ordered Tree-based Hex-Octagon (OrTHO)-search algorithm along with the chronological Salp swarm algorithm (SSA) based on deep recurrent neural network (deepRNN) for optimally deciding the shape of search, search length of the tree and dimension. The chronological SSA is developed by integrating the chronological concept in SSA, which is used for training the deep RNN for ME.
Findings
The competing methods used for the comparative analysis of the proposed OrTHO-search based RD + chronological-salp swarm algorithm (RD + C-SSA) based deep RNN are support vector machine (SVM), fast encoding framework, wavefront-based high parallel (WHP) and OrTHO-search based RD method. The proposed video compression method obtained a maximum peak signal-to-noise ratio (PSNR) of 42.9180 dB and a maximum structural similarity index measure (SSIM) of 0.9827.
Originality/value
In this research, an effective block search mechanism was developed with the modification in the OrTHO-search algorithm along with the chronological SSA based on deepRNN for the video compression-HEVC standard.
Details
Keywords
Enas Hendawy, David G. McMillan, Zaki M. Sakr and Tamer Mohamed Shahwan
This paper aims to introduce a new perspective on long-term stock return predictability by focusing on the relative (individual and hybrid) informative power of a wide range of…
Abstract
Purpose
This paper aims to introduce a new perspective on long-term stock return predictability by focusing on the relative (individual and hybrid) informative power of a wide range of accounting (firm-related), technical and macroeconomic factors while considering the past performance of the stocks using machine learning algorithms.
Design/methodology/approach
The sample includes a panel data set of 94 non-financial firms listed in Egyptian Exchange 100 index from 2014: Q1 to 2019: Q4. Relativity has been investigated by comparing relevant factors’ individual and combined informative power and differentiating between losers and winners based on historical stock returns. To predict the quarterly stock returns, Gaussian process regression (GPR) has been used. The robustness of the results is examined through the out-of-sample test. This study also uses linear regression (LR) as a benchmark model.
Findings
The past performance and the presence of other predictors influence the informative power of relevant factors and hence their predictive ability. The out-of-sample results show a trade-off between GPR and LR with proven superiority to GPR in limited experiments. The individual informative power outperforms the hybrid power, in which macroeconomic indicators outperform the remaining sets of indicators for losers, while winners show mixed results in terms of various performance evaluation metrics. Prediction accuracy is generally higher for losers than for winners.
Practical implications
This study provides interesting insight into the dynamic nature of the predictor variables in terms of stock return predictability. Hence, this study also deepens the understanding of asset pricing in a way that directly contributes to practitioners’ portfolio diversification strategies.
Originality/value
In concern of the chaos of factors in the literature and its accompanying misleading conclusions, this study takes another look at the approach that studies stock return predictability. To the best of the authors’ knowledge, this is the first study in the Egyptian context that re-examines the predictive power of the previously discovered factors from a different perspective that highlights their relative nature.
Details
Keywords
Moustafa Mohamed Nazief Haggag Kotb Kholaif, Bushra Sarwar, Ming Xiao, Milos Poliak and Guido Giovando
This study aims to explore the pandemic's opportunities for enhancing the environmental practices of the food and beverages green supply chains and its effect on the supply…
Abstract
Purpose
This study aims to explore the pandemic's opportunities for enhancing the environmental practices of the food and beverages green supply chains and its effect on the supply chains' viability by exploring the relationship between fear and uncertainty of COVID-19, food and beverages green supply chain management (F&B-GSCM) and supply chains’ viability based on the two dimensions (robustness and resilience) and examine the moderating effect of innovative technology adoption like big data analysis (BDA) capabilities and blockchain technologies (BCT) on this relationship.
Design/methodology/approach
This study adopted partial least squares structural equation modeling (PLS-SEM) on a sample of 362 F&B small and medium enterprises (SMEs)’ managers in the Egyptian market for data analysis and hypothesis testing.
Findings
The empirical results show that the fear and uncertainty of the pandemic have a significant positive effect on green supply chain management (GSCM). Also, BDA moderates the relationship between fear and uncertainty of COVID-19 and GSCM. However, BCT do not moderate that relationship. Similarly, GSCM positively affects supply chain viability dimensions (robustness and resilience). In addition, F&B-GSCM significantly mediates the relationship between fear and uncertainty of COVID-19 and supply chain viability dimensions (robustness and resilience).
Practical implications
Food and beverages (F&B) managers could develop a consistent strategy for applying BCT and BDA to provide clear information and focus on their procedures to meet their stakeholders' needs during COVID-19. Governments and managers should develop a consistent strategy to apply food and beverages supply chains (F&B SCs)' green practices to achieve F&B SCs' resilience and robustness, especially during the pandemic.
Originality/value
The Egyptian F&B SCs have been linked directly with many European countries as a main source of many basic food and agriculture products, which have been affected lately by the pandemic. Based on the “social-cognitive,” “stakeholder” and “resource-based view” theories, this study sheds light on the optimistic side of the COVID-19 pandemic, as it also brings the concepts of F&B-GSCM, SC resilience, SC robustness and innovative technologies back into the light, which helps in solving F&B SC issues and helps to achieve their viability.
Details
Keywords
Abdul Rahman Al Natour, Hamzah Al-Mawali, Hala Zaidan and Yasmeen Hany Zaky Said
This paper aims to investigate the role of forensic accounting skills in enhancing auditor’s self-efficacy towards fraud detection in Egypt. Additionally, it explores the…
Abstract
Purpose
This paper aims to investigate the role of forensic accounting skills in enhancing auditor’s self-efficacy towards fraud detection in Egypt. Additionally, it explores the moderating effect of computer-assisted audit techniques and tools (CAATTs) application on the relationship between accounting and auditing skills and auditor’s self-efficacy, as well as its role in enhancing fraud detection.
Design/methodology/approach
A cross-sectional survey was developed and distributed to 117 external auditors working in Egypt. Partial least square structural equation modelling is used to examine the study hypotheses.
Findings
The results show a significant direct relationship between effective communication skills, psycho-social skills, accounting and auditing skills and an auditor’s self-efficacy. Additionally, the results show a significant direct relationship between auditor’s self-efficacy and fraud detection. It is revealed that CAATTs application moderate the relationship between auditor’s self-efficacy and fraud detection. In contrast, the results do not show a significant relationship between technical and analytical skills and auditor’s self-efficacy.
Originality/value
The originality of this research paper lies in its exploration of the role of forensic accounting skills in enhancing auditor’s self-efficacy towards fraud detection in Egypt. It sheds light on the role of improved auditor’s self-efficacy in detecting fraud. Additionally, this study further enhances the understanding of the potential benefits of using technological advancements in the audit process. It provides insights for accounting professionals and regulatory bodies in Egypt, highlighting the importance of leveraging forensic accounting skills and using CAATTs to enhance fraud detection efforts.
Details
Keywords
Fatma Ehab Ahmed and Ahmed Gamal Mohamed
This paper aims to contribute to the political connection literature by investigating the impact of political connection on banks’ profitability in Bahrain.
Abstract
Purpose
This paper aims to contribute to the political connection literature by investigating the impact of political connection on banks’ profitability in Bahrain.
Design/methodology/approach
Exploiting the unique natural experiment of the 2017 Qatar blockade crisis, this study uses primary data of political connection. The study uses the difference-in-difference (DID) methodology to investigate the effect of political connections on banks’ profitability.
Findings
The main finding is that political connections have a positive effect on bank profitability in Bahrain. The paper finds that the ongoing GCC crisis has had a negative effect on the banking sector of Bahrain. During the Qatar blockade crisis, politically connected banks suffered more than their non-connected counterparts.
Practical implications
The result suggests that the Qatar blockade crisis has had a notable effect on the banking system throughout the region, including both the boycotting countries as well as Qatar. In the banking sector, politically connected banks are the most harmed by the crisis. Investors can enhance their hedging and investment decisions by exploiting knowledge of how political connections affected bank profitability during the Qatar diplomatic crisis and how that effect can be transmitted from one market to another. In addition, regulators could use insights about the association between political connections and profitability in Bahrain to undertake strategies to increase banks’ profitability and mitigate the transmission effect of a crisis by ensuring adequate regulation and supervision.
Originality/value
This paper offers four novel contributions to political connection literature as follows: Firstly, the study fills in an important gap in the literature as it is the first attempt to quantify the impact of political connections on bank performance in Bahrain. To the best of the authors’ knowledge, the role of political factors in Bahrain has not been studied about the banking system. Secondly, the study depends on primary data about political connections collected manually from various sources. Thirdly, this is the first study to investigate the effect of the Qatar blockade on the banking sector. Lastly, the evidence suggests that politically connected banks are more profitable than banks that lack political connections. However, the Qatar blockade crisis resulted in a sharp decrease in bank profitability, suggesting that the crisis significantly harmed the banking sector in Bahrain.
Details
Keywords
Christine Wan Shean Liew and Noorliza Karia
Globally, the halal cosmetics market is experiencing rapid growth and is considered a key economic driver in shaping economy development and growth. However, the extant research…
Abstract
Purpose
Globally, the halal cosmetics market is experiencing rapid growth and is considered a key economic driver in shaping economy development and growth. However, the extant research on halal cosmetics is fragmented, potentially impeding the field’s advancement when challenged with conflicting viewpoints and limited replications. Therefore, this paper aims to address the knowledge gap by conducting a rigorous and technology-enabled systematic review by leveraging appropriate software to comprehensively evaluate the state of the halal cosmetics literature.
Design/methodology/approach
A domain-based review using a hybrid approach that incorporates both bibliometric and interpretive analyses are used to comprehensively assess the current progress of halal cosmetics, identify research gaps and suggest potential directions for future research.
Findings
Through a comprehensive review of 66 articles, this review provides a holistic and comprehensive overview of halal cosmetics that both academic scholars and market practitioners can rely upon in strategizing and positioning for future development of halal cosmetics. The study provides a holistic and comprehensive overview of halal cosmetics that both academic scholars and market practitioners can reply upon in strategizing and positioning for future development of halal cosmetics.
Originality/value
The fragmented knowledge of extant research on halal cosmetics across various disciplines limits a comprehensive understanding of the field. It is opportune to conduct a comprehensive and systematic review of the field, providing insight into both its current and future progress. In this regard, this review serves as a “one-stop reference” in providing a state-of-the-art understanding of the field, and enables industry practitioners to reveal the full potential and bridge the theory-practice gap in the halal cosmetics industry.
Details
Keywords
Ola Al Sayed, Noha Sami Omar and Abdelmoneam Khaled
This paper aims to discuss the main characteristics of the Middle East North Africa (MENA) region's capital inflows volatility. It also examines the effect of institutional…
Abstract
Purpose
This paper aims to discuss the main characteristics of the Middle East North Africa (MENA) region's capital inflows volatility. It also examines the effect of institutional quality and information availability on capital inflows volatility in selected MENA countries (Bahrain, Egypt, Israel, Jordan, Kuwait, Libya, Morocco, Oman, Saudi Arabia and Tunisia) in the period 1996–2017.
Design/methodology/approach
The study's assessments are based on the International Country Risk Guide (ICRG) and globalization indices. It also employs an updated data set of balance of payments indicators released by the International Monetary Fund. Moreover, the study uses econometric panel modeling of random effect model, with Driscoll-Kraay robust standard error, to analyze the relationship between capital inflows volatility, institutional quality and information availability.
Findings
The paper finds that both institutional quality and information availability are in an inverse relationship with the total capital inflows volatility in the MENA region. However, the findings vary across the different components of total capital inflows. For example, the volatility of foreign direct investment (FDI) declines, like total capital flows, as the two factors improve. However, the volatility of foreign portfolio investment (FPI) is negatively related to institutional quality but does not have any significant relationship with information availability. While the volatility of foreign other investments (FOI) decreases with the availability of information, but does not have any significant relationship with institutional quality.
Originality/value
This paper expands the limited literature regarding the determinants of capital inflows volatility. Furthermore, it is the first study that investigates the effect of institutional quality and information availability on capital inflows volatility in the MENA region.
Details
Keywords
Niveen Badra, Hosam Hegazy, Mohamed Mousa, Jiansong Zhang, Sharifah Akmam Syed Zakaria, Said Aboul Haggag and Ibrahim Abdul-Rashied
This research aims to create a methodology that integrates optimization techniques into preliminary cost estimates and predicts the impacts of design alternatives of steel…
Abstract
Purpose
This research aims to create a methodology that integrates optimization techniques into preliminary cost estimates and predicts the impacts of design alternatives of steel pedestrian bridges (SPBs). The cost estimation process uses two main parameters, but the main goal is to create a cost estimation model.
Design/methodology/approach
This study explores a flexible model design that uses computing capabilities for decision-making. Using cost optimization techniques, the model can select an optimal pedestrian bridge system based on multiple criteria that may change independently. This research focuses on four types of SPB systems prevalent in Egypt and worldwide. The study also suggests developing a computerized cost and weight optimization model that enables decision-makers to select the optimal system for SPBs in keeping up with the criteria established for that system.
Findings
In this paper, the authors developed an optimization model for cost estimates of SPBs. The model considers two main parameters: weight and cost. The main contribution of this study based on a parametric study is to propose an approach that enables structural engineers and designers to select the optimum system for SPBs.
Practical implications
The implications of this research from a practical perspective are that the study outlines a feasible approach to develop a computerized model that utilizes the capabilities of computing for quick cost optimization that enables decision-makers to select the optimal system for four common SPBs based on multiple criteria that may change independently and in concert with cost optimization during the preliminary design stage.
Social implications
The model can choose an optimal system for SPBs based on multiple criteria that may change independently and in concert with cost optimization. The resulting optimization model can forecast the optimum cost of the SPBs for different structural spans and road spans based on local unit costs of materials cost of steel structures, fabrication, erection and painting works.
Originality/value
The authors developed a computerized model that uses spreadsheet software's capabilities for cost optimization, enabling decision-makers to select the optimal system for SPBs meeting the criteria established for such a system. Based on structural characteristics and material unit costs, this study shows that using the optimization model for estimating the total direct cost of SPB systems, the project cost can be accurately predicted based on the conceptual design status, and positive prediction outcomes are achieved.
Details