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Article
Publication date: 20 August 2021

Mohamed El-Sayed Mousa and Mahmoud Abdelrahman Kamel

This study aims to develop and test a framework for integration between data envelopment analysis (DEA) and artificial neural networks (ANN) to predict the best financial…

424

Abstract

Purpose

This study aims to develop and test a framework for integration between data envelopment analysis (DEA) and artificial neural networks (ANN) to predict the best financial performance concerning return on assets and return on equity for banks listed on the Egyptian Exchange, to help managers generate what-if scenarios? For performance improvement and benchmarking.

Design/methodology/approach

The study empirically tested the three-stage DEA-ANN framework. First, DEA was used as a preprocessor of the banks’ efficiency scores. Second, a back-propagation neural network as a multi-layer perceptron-ANN’s model was designed using expected data sets from DEA to learn optimal performance patterns. Third, the superior performance of banks was forecasted.

Findings

The results indicated that banks are not operating under their most productive operations, and there is room for potential improvements to reach outperformance. Moreover, the neural networks’ empirical test results showed high correlations between the actual and expected values, with low prediction errors in both the test and prediction phases.

Practical implications

Based on best performance prediction, banks can generate alternative scenarios for future performance improvement and enabling managers to develop effective strategies for performance control under uncertainty and limited data. Besides, supporting the decision-making process and proactive management of performance.

Originality/value

Despite the growing research stream supporting DEA-ANN integration applications, these are still limited and scarce, especially in the Middle East and North Africa region. Therefore, the study trying to fill this gap to help bank managers predict the best financial performance.

Details

Journal of Modelling in Management, vol. 17 no. 3
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 28 May 2021

Mahmoud Abdelrahman Kamel, Mohamed El-Sayed Mousa and Randa Mohamed Hamdy

This study used data envelopment analysis (DEA) models to measure financial efficiency of twelve commercial banks listed in the Egyptian stock exchange (CBLSE), along with…

817

Abstract

Purpose

This study used data envelopment analysis (DEA) models to measure financial efficiency of twelve commercial banks listed in the Egyptian stock exchange (CBLSE), along with evaluating changes to the financial efficiency during the period 2017–2019.

Design/methodology/approach

The study used BCC-I, cross-efficiency, super-efficiency models, and Malmquist productivity index (MPI) to assess financial efficiency of the examined banks. The available data from both inputs and outputs were analyzed using R. studio V.I.3. 1056 software.

Findings

Out of twelve banks examined, only four banks were efficient under BCC-I model over different years of the study period; however, only one bank (CIB) appeared to be the most efficient compared to other peers in the study sample. Moreover, MPI results revealed decreased financial efficiency during the study period, due to the decreased technological innovation, except for HDB. Tobit regression results confirmed that total assets and total equity are significant factors impacted financial efficiency of CBLSE.

Practical implications

This study sheds light on the importance of evaluating financial efficiency of CBLSE to all stakeholders, to pinpoint weaknesses in banks' performance, and for evaluating financial policies and investment decisions.

Originality/value

Several studies sought to implement different models of DEA to assess banking performance in different regions of the world, but very few studies examined financial efficiency of banks. To the best of authors’ knowledge, this study is one of those few that addressed financial efficiency of banks in Egypt.

Details

International Journal of Productivity and Performance Management, vol. 71 no. 8
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 30 September 2024

Abd-Elrahman Hassanein Abd-Elrahman, Mahmoud Abdelrahman Kamel and Sameh Mohamed Said

The purpose of this paper is to develop and test empirically a new holistic performance measurement model that integrates the best of current performance measurement frameworks…

105

Abstract

Purpose

The purpose of this paper is to develop and test empirically a new holistic performance measurement model that integrates the best of current performance measurement frameworks and methodologies and builds upon the resource-based view to strategic management.

Design/methodology/approach

A survey collected responses from 379 top-, middle- and supervisory-level managers from 3 telecommunications service providers in Egypt. The hypothesized direct relationships were tested through multiple linear regression (using SPSS software), and the mediating effect was tested using the structural equation modeling technique (using AMOS software).

Findings

The results reveal that the proposed model is a reliable and valid instrument for measuring and managing holistic organizational performance. The results also reveal that Egyptian telecommunications companies have primarily emphasized the use of structural and relational capital to enhance their service quality (SQ) and performance outcomes (POs). Moreover, SQ was found to significantly and partially mediate the effect of organizational capitals (OCs) on POs.

Research limitations/implications

The proposed model is a novel model that needs further investigation using various research designs and multiple research methods to assure its reliability and validity as a holistic performance measurement system.

Practical implications

The Egyptian telecommunications companies should efficiently manage and leverage all four components of OCs, especially the components of intellectual capital to improve their SQ and consequently enhance their POs.

Originality/value

To the best of the authors’ knowledge, this is the first research to study the relationships among OCs, SQ and POs, merge them in an integrated performance measurement model and test this model empirically in the Egyptian telecommunications setting.

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Article
Publication date: 27 August 2019

Yijiang Peng, Xiyun Chen, Liping Ying and Mahmoud M.A. Kamel

Based on the base force element method, a two-dimensional random circle aggregate model with Monte Carlo principle is proposed to carry out research on softening curve in…

117

Abstract

Purpose

Based on the base force element method, a two-dimensional random circle aggregate model with Monte Carlo principle is proposed to carry out research on softening curve in meso-level.

Design/methodology/approach

The meso-level structure of recycled concrete is considered as the five-phase materials composed of aggregate, old interfacial transition zone, old mortar, new interfacial transition zone and new mortar. A multi-polyline damage model is adopted to describe the nonlinear mechanical behavior of recycled concrete material. The destruction state of the element is determined by the first strength theory. The research studies on damage process of recycled concrete under the loading conditions of uniaxial tension were established using the base force element method.

Findings

The softening curves of recycled concrete are obtained, which are in good agreement with experiment results. Simulation results show that the macroscopic mechanical properties and failure mechanism can analyze more reasonably from mesoscopic structure. Besides that, it can be investigated from the numerical results of the size effect in recycled concrete through the mesoscopic heterogeneity. Furthermore, the form of aggregate distribution has influence on the crack path but little effect on the tensile strength of recycled concrete.

Originality/value

The results show that the base force element method has been successfully applied to the study of softening curve of recycled concrete under uniaxial tension.

Details

Engineering Computations, vol. 36 no. 7
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 13 February 2020

Liping Ying, Yijiang Peng and Mahmoud M.A. Kamel

Based on the random aggregate model of recycled aggregate concrete (RAC), this paper aims to focus on the effect of loading rate on the failure pattern and the macroscopic…

190

Abstract

Purpose

Based on the random aggregate model of recycled aggregate concrete (RAC), this paper aims to focus on the effect of loading rate on the failure pattern and the macroscopic mechanical properties.

Design/methodology/approach

RAC is regarded as a five-phase inhomogeneous composite material at the mesoscopic level. The number and position of the aggregates are modeled by the Walraven formula and Monte–Carlo stochastic method, respectively. The RAC specimen is divided by the finite-element mesh to establish the dynamic base force element model. In this model, the element mechanical parameters of each material phase satisfy Weibull distribution. To simulate and analyze the dynamic mechanical behavior of RAC under axial tension, flexural tension and shear tension, the dynamic tensile modes of the double-notched specimens, the simply supported beam and the L specimens are modeled, respectively. In addition, the different concrete samples are numerically investigated under different loading rates.

Findings

The failure strength and failure pattern of RAC have strong rate-dependent characteristics because of the inhomogeneity and the inertial effect of the material.

Originality/value

The dynamic base force element method has been successfully applied to the study of recycled concrete.

Details

Engineering Computations, vol. 37 no. 6
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 25 December 2024

Mostafa Mahmoud Kamel Saadeldin

The aim of this paper is to propose an integrated ethnographic approach (IEA) to explore familial consumption practices from an Islamic marketing perspective. It also offers a…

33

Abstract

Purpose

The aim of this paper is to propose an integrated ethnographic approach (IEA) to explore familial consumption practices from an Islamic marketing perspective. It also offers a critical reflection on the advantages of ethnographic approaches and provides guidance for future researchers.

Design/methodology/approach

This ethnographic study explores the consumption practices of eight families. Through interviews, observations and documentation, the study chronicles and analyses day-to-day activities to examine how consumption practices among followers of a certain religion are influenced by their religious beliefs.

Findings

Ethnographies are applicable for studying sensitive topics such as religious adherence and its influence on consumption choices. Their flexibility provides researchers with the agility to continue the study despite unexpected circumstances, such as pandemics. Through this approach, the researcher was able to discover the struggles of family members between balancing their religious practices with their consumption experiences.

Practical implications

The implications of this study suggest that researchers immerse themselves in participants’ worlds if they want to generate insights about sensitive topics. The procedures explained in this study could guide future researchers.

Originality/value

This study had the privilege of adapting an IEA during the COVID-19 pandemic, which allowed the author to obtain novel insights in such unusual circumstances and to discover the agility of ethnographic methodology in exploring religion and consumption.

Details

Qualitative Research Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1443-9883

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Article
Publication date: 27 June 2022

Mohamed El-Sayed Mousa and Mahmoud Abdelrahman Kamel

This study aims to examine performance assessment of organizational units through psychological empowerment (PE) and employee engagement (EE) approach and whether this…

489

Abstract

Purpose

This study aims to examine performance assessment of organizational units through psychological empowerment (PE) and employee engagement (EE) approach and whether this relationship differs among efficient and inefficient organization units.

Design/methodology/approach

This study drew on merging the principal component analysis (PCA), data envelopment analysis (DEA) and partial least square-multigroup analysis (PLS-MGA) to benchmark the performance of organizational units affiliated with Zagazig University in Egypt using PE dimensions as inputs and EE as output. Besides investigating whether PE inputs have the same effect among efficient and inefficient units.

Findings

Performance assessment based on independent data showed that all the investigated organizational units are not at the same efficiency level. The results revealed that there are eight efficient units versus seven inefficient ones. Moreover, PLS-MGA results demonstrated that no significant differences concerning the impact of PE inputs on EE between efficient and inefficient units groups. Nevertheless, the effect of these inputs was slightly higher in the former.

Originality/value

Studies on EE performance in the service sector are scarce in the literature, this study is a novel contribution of exploring EE efficiency in Egypt as a developing economy. Specifically, using the PCA-DEA-structural equation modeling approach.

Details

Journal of Modelling in Management, vol. 18 no. 5
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 1 November 2023

Mahmoud Abdelrahman Kamel

Big data analytics (BDA) plays a crucial role in understanding customer behavior through Customer Relationship Management (CRM), especially in a rapidly changing business…

1002

Abstract

Purpose

Big data analytics (BDA) plays a crucial role in understanding customer behavior through Customer Relationship Management (CRM), especially in a rapidly changing business environment. This paper investigates the direct effect of BDA use on market performance, besides the mediating effect through Big Data-enabled CRM strategies adoption (e.g. customization and personalization). The paper also examines the moderating role of competitive intensity in these effects.

Design/methodology/approach

Drawing from a knowledge-based view (KBV) and Organizational Information Processing Theory (OIPT), the authors formulated the research model. Subsequently, the measurement model and hypotheses were tested through PLS-SEM on online survey data of 229 managers from 167 companies out of Egypt's top 500.

Findings

The results indicated that BDA use does not directly affect the market performance, but this effect was significant through customization and personalization strategies adoption. The results also revealed a positive association between BDA use and the adoption of these strategies. Furthermore, competitive intensity only moderates the relationship between BDA use and personalization strategy adoption.

Research limitations/implications

Companies can use BDA to improve customer knowledge and experience through customization and personalization, leading to better market performance and moving towards becoming a Big Data-driven organization. This study is limited to companies in the Egyptian context, which restricts the generalizability of the results.

Originality/value

This study conceptually and empirically explores how BDA usage, customization and personalization strategies impact market performance under competitive intensity situations, especially in the context of emerging markets.

Details

Journal of Enterprise Information Management, vol. 36 no. 6
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 2 February 2021

Mahmoud Abdelrahman Kamel and Mohamed El-Sayed Mousa

This study used Data Envelopment Analysis (DEA) to measure and evaluate the operational efficiency of 26 isolation hospitals in Egypt during the COVID-19 pandemic, as well as…

1315

Abstract

Purpose

This study used Data Envelopment Analysis (DEA) to measure and evaluate the operational efficiency of 26 isolation hospitals in Egypt during the COVID-19 pandemic, as well as identifying the most important inputs affecting their efficiency.

Design/methodology/approach

To measure the operational efficiency of isolation hospitals, this paper combined three interrelated methodologies including DEA, sensitivity analysis and Tobit regression, as well as three inputs (number of physicians, number of nurses and number of beds) and three outputs (number of infections, number of recoveries and number of deaths). Available data were analyzed through R v.4.0.1 software to achieve the study purpose.

Findings

Based on DEA analysis, out of 26 isolation hospitals, only 4 were found efficient according to CCR model and 12 out of 26 hospitals achieved efficiency under the BCC model, Tobit regression results confirmed that the number of nurses and the number of beds are common factors impacted the operational efficiency of isolation hospitals, while the number of physicians had no significant effect on efficiency.

Research limitations/implications

The limits of this study related to measuring the operational efficiency of isolation hospitals in Egypt considering the available data for the period from February to August 2020. DEA analysis can also be an important benchmarking tool for measuring the operational efficiency of isolation hospitals, for identifying their ability to utilize and allocate their resources in an optimal manner (Demand vs Capacity Dilemma), which in turn, encountering this pandemic and protect citizens' health.

Originality/value

Despite the intensity of studies that dealt with measuring hospital efficiency, this study to the best of our knowledge is one of the first attempts to measure the efficiency of hospitals in Egypt in times of health' crisis, especially, during the COVID-19 pandemic, to identify the best allocation of resources to achieve the highest level of efficiency during this pandemic.

Details

Benchmarking: An International Journal, vol. 28 no. 7
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 19 December 2024

Mohammed Soliman Aly Khedr, Mona Foad Ali, Ahmed Nabil Emam, Abdullah Mahmoud Kamel and Manal Abdel-Monem Ghanam

This study aims to provide an efficient nanocomposite that might be used to protect deteriorated archaeological stucco.

28

Abstract

Purpose

This study aims to provide an efficient nanocomposite that might be used to protect deteriorated archaeological stucco.

Design/methodology/approach

The current experimental study evaluates the effectiveness of the hydroxyapatite nanoparticles (HA NPs) added to graphite carbon nitride (g-C3N4) and mixed with Paraloid (B-72) (B-44) in acetone in consolidating samples. The physicochemical properties of the as-prepared nanopowders have been investigated using Fourier transform infrared (FT-IR). This study involves monitoring the transmission electron microscope (TEM), X-ray diffraction (XRD) and Fourier transform changes in consolidated samples after exposure to various conditions by using the digital microscope and scanning electron microscopy to identify the appearance of the consolidated stucco samples after applying the selected nanocomposites and after their artificial aging procedures. Color change is measured using a colorimeter, and comparisons are made between samples before and after aging. Physical and mechanical properties are determined, and the contact angle is measured to measure hydrophobicity rate.

Findings

The obtained results indicate that HA/g-C3N4 hybrid nanocomposites with a composition of HA 0.5%/g-C3N4 1%/B-72 3% and HA 0.5%/g-C3N4 1%/B-44 3% achieved the best consolidating results among the proposed mixtures for stucco samples, where the percentage of weight loss was 0.77 with B-72, 0.53 with B-44. Surface identification and characterization of hydroxyapatite HA NPs/g-C3N4 hybrid nanocomposites embedded in B72/B44matrix were carried out using Scanning Electron Microscopy coupled with energy-dispersive x-ray spectroscopy (SEM–EDX).

Originality/value

This study provides important findings from the analytical procedures used to evaluate the consolidation materials used in this study. The findings are beneficial for the preservation of archaeological stucco. The investigation findings revealed that the most favorable outcomes were obtained from HA/g-C3N4 hybrid nanocomposites containing HA 0.5%, g-C3N4 1% and B-72 3%, as well as HA 0.5%, g-C3N4 1% and B-44 3%. Consequently, it is advised to use this nanocomposite to consolidate archaeological stucco, thus establishing a promising initial stride toward conserving archaeological stucco for future research endeavors. This study introduces a new nanocomposite material (HA NPs/G-C3N4) that can be used to protect and improve archaeological plaster. This is very important for preserving cultural heritage. The incorporation of nanotechnology improves the material’s physical and mechanical qualities. The research uses various characterization techniques (including TEM, XRD and FT-IR) to meticulously analyze the physicochemical properties of the nanocomposite material and assess its efficacy in practical applications through artificial aging experiments, offering novel insights and methodologies for future cultural relic preservation studies.

Details

Pigment & Resin Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0369-9420

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