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The purpose of this paper is to evaluate the efficiency of Algerian banks and examine the effects of explanatory factors on their performance.

In this paper, a methodology of two-stage network data envelopment analysis (DEA) is used to explore the efficiency of a sample of 13 Algerian banks during the 2013–2017 period. In the first stage, the network DEA is used to assess the overall and stages efficiencies. In the second stage, the partial least squares (PLS) regression is conducted to determine the potential effects of explanatory factors on stages efficiency.

The main empirical results indicate that Algerian banks need an efficiency improvement in both stages. The overall efficiency of the Algerian banking system improves over the study period. The deposit producing efficiency is positively affected by bank size and bank age. The revenue earning efficiency is negatively associated with bank size and bank age. The domestic banks are more efficient than foreign banks in the deposit producing stage and the foreign banks are more efficient than domestic banks in the revenue earning stage.

The results might be used as guidelines for both managers and policymakers in order to improve banks and banking system performance.

To the best of our knowledge, this study is the first that uses the DEA in investigating the efficiency of Algerian banks by dividing the overall efficiency into deposit producing and revenue earning efficiencies. Unlike most studies that have usually used OLS regression, Tobit regression and bootstrapped truncated regression, this study is the first in the bank efficiency literature that uses PLS regression to investigate the potential effect of explanatory variables on deposit producing and revenue earning efficiencies.

In this study, the authors examine the push and pull effects of extreme weather events on migration among governorates in Egypt.

To estimate the effect of extreme weather events on internal migration, the authors use migration gravity models and data from the 1996 and 2006 Population and Housing Censuses. The authors measure weather extremes by the number of months in the past 36 months with temperatures or precipitation of a governorate below the 5th percentile and above the 95th percentile of the distribution of monthly temperatures or precipitation of the corresponding governorate during the period 1900–2006.

This study’s results suggest that high temperatures in the origin area act as a push factor. High-temperature extremes have a positive effect on out-migration. A 1% increase in the number of months with high-temperature extremes in the original governorate results in a 0.1% increase in the number of out-migrants.

The study suggests that people may respond to weather extremes through migration. However, climate migrants in Egypt may encounter several significant risks that authorities must address.

This study is one of the first attempts to measure the push and pull effect of weather extremes on migration in Egypt.

Organizations increasingly rely on cross-functional teams to deal with supply chain (SC) disruptions. These teams may use their broad range of connections and expertise to gather or scout relevant information, enabling them to develop integrative countermeasures and increase their organization’s resilience. Despite their potential, cross-functional teams often struggle to attain information scouting’s prospective benefits for effectively resolving disruptions. By drawing from group information-processing theory, this study aims to explore when and how cross-functional teams can realize information scouting’s full potential for ensuring their organization’s resilience.

Multisource, multi-informant data were collected from 80 cross-functional teams exposed to SC disruptions in a realistic SC management simulation.

The results show that a cross-functional team’s ability to effectively use information scouting for ensuring its organization’s resilience is contingent upon the degree to which the team’s members share information and align decisions internally (i.e. internal integration). The findings further reveal that this moderating role of internal integration is strengthened when the cross-functional team faces a volatile environment in which multiple SC disruptions are likely to occur (i.e. higher SC vulnerability).

This study contributes by advancing a more complete perspective on how a cross-functional team may contribute to its organization’s resilience. Specifically, the present research reveals how the benefits of a cross-functional team’s information scouting for dealing with SC disruptions are critically dependent upon internal conditions within the team, as well as external conditions related to its organization’s overall SC (i.e. beyond individual dyadic relationships).

Industry 5.0 is referred to the subsequent industrialization. The ultimate goal of this transformation is to enable manufacturing solutions through collaboration with man and machine which are more user-friendly and increase work quality in comparison to Industry 4.0. This will be accomplished through the consumption of the creative potential of human specialists in the creation of an industry with more efficient, clever, and precise machines. It is predicted that several exciting breakthroughs and apps will help Industry 5.0 in its plan to gain more productivity and supply personalized goods in an open system. On the other hand, Industry 5.0 has had a greater global and international renown from the very beginning of its existence. Machine learning (ML) technology, the Internet of Things (IoT), and big data will create a collaboration with people, robots, and other intelligent devices. Industry 5.0 continues to serve as an attractive driver for our society's workforce skills and young talent in search of purposeful professional lives. There are some challenges as well, such as working with advanced robots requires people to develop skills. People need to gain proper knowledge about collaboration with smart machines and the robot manufacturers industry. However, this ultimate overhaul is necessary for the industry to certify its reason as a solution provider for our society. These things will unquestionably ensure the long-term sustained development (SD) of any nation's economy.

The direct torque control (DTC) of induction motor (IM) drive is featured by high ripples in the electromagnetic torque and stator flux profiles because they are controlled by two hysteresis regulators. Furthermore, the machine flux is not directly measurable. Hence, it is better to reconstitute it from the instantaneous electrical equations of the machine. Once the stator flux is estimated, we can guarantee a reliable sensorless DTC control. Thus, the purpose of this research work is to ensure fast response and full reference tracking of the IM under sensorless DTC strategy with desired dynamic behavior and low ripple levels.

In this work, an improved DTC strategy, which is DTC_SVM_3L, is suggested. The first step of the designed approach is to substitute the conventional inverter feeding the motor with a three-level inverter because it guarantees reduced switching losses, improved quality of voltage waveform and low-current total harmonic distortion rate. The second aim of this paper is to make the IM operate at a constant switching frequency by using the nearest three vectors-based space vector modulation (SVM) technique rather than hysteresis controllers. The third objective of this study is to conceive a sliding-mode stator flux observer, which can improve the control performances by using a sensorless algorithm to get an accurate estimation, and consequently, increase the reliability of the system and decrease the cost of using sensors. The stability of the proposed observer is demonstrated based on the Lyapunov theory. To overcome the load change disturbance in the proposed DTC control strategy, this paper exhibits a comparative assessment of four speed regulation methods: classical proportional and integral (PI) regulator, fuzzy logic PI controller, particle swarm optimization PI controller and backstepping regulator. The entire control algorithm was tested under different disturbances such as stator resistance and load torque variations.

It was ascertained that the IM, controlled with three-level inverter, exhibits good performances under the proposed DTC-SVM strategy based on a sliding-mode observer. The robustness of the suggested approach against parameter variations is also proved.

The theoretical development of the proposed control strategy is thoroughly described. Then, simulations using Matlab/Simulink software are launched to investigate the merits of the sensorless DTC-SVM command of three-level inverter-fed IM drive with different speed regulators.

The purpose of this paper is to check the feasibility of using biomaterial such as of Phragmites-Australis (PA) in cement paste to achieve sustainable building materials.

In this study, cement pastes were prepared by adding locally produced PA fibers in four different volumes: 0%, 0.5%, 1% and 2% for a duration of 180 days. Bottles and prisms were subjected to chemical shrinkage (CS), drying shrinkage (DS), autogenous shrinkage (AS) and expansion tests. Besides, prism specimens were tested for flexural strength and compressive strength. Furthermore, a mathematical model was proposed to determine the variation length change as function of time.

The experimental findings showed that the mechanical properties of cement paste were significantly improved by the addition of 1% PA fiber compared to other PA mixes. The effect of increasing the % of PA fibers reduces the CS, AS, DS and expansion of cement paste. For example, the addition of 2% PA fibers reduces the CS, expansion, AS and DS at 180 days by 36%, 20%, 13% and 10%, respectively compared to the control mix. The proposed nonlinear model fit to the experimental data is appropriate with R2 values above 0.92. There seems to be a strong positive linear correlation between CS and AS/DS with R2 above 0.95. However, there exists a negative linear correlation between CS and expansion.

The PA used in this study was obtained from one specific location. This can exhibit a limitation as soil type may affect PA properties. Also, one method was used to treat the PA fibers.

The utilization of PA fibers in paste may well reduce the formation of cracks and limit its propagation, thus using a biomaterial such as PA in cementitious systems can be an environmentally friendly option as it will make good use of the waste generated and enhance local employment, thereby contributing toward sustainable development.

To the authors best knowledge, there is hardly any research on the effect of PA on the volume stability of cement paste. Therefore, the research outputs are considered to be original.

To empirically study the direct and mediating relationships between blockchain technology adoption strategy (BCTAS), electronic supply chain management diffusion (eSCMD), entrepreneurial orientation (EO) and human resources information system (HRIS) in Egyptian banks. This paper aims to connect the dots and show the relationships linking these related constructs after the emergence of this breakthrough blockchain technology.

The authors have undertaken a thematic review of relevant multidisciplinary business management literature and then developed a conceptual model. This model was examined through adopting a mixed-methods approach, through which 300 quantitative questionnaires were filled by information technology (IT) staff at 12 banks in Egypt utilising a snowball sample. Besides, 20 qualitative interviews were carried out with international and Egyptian blockchain experts for exploratory and explanatory purposes. The suggested hypotheses were tested using structural equation modelling.

The results revealed that EO affects positively and significantly BCTAS and HRIS. BCTAS affects positively and significantly both HRIS and eSCMD. Concerning the linkage between external/supply chain and internal/organisational information diffusion, HRIS has a positive and significant effect on eSCMD. The direct EO–eSCMD relationship is not supported. Yet, indirectly, BCTAS mediates significantly EO–eSCMD and EO–HRIS relationships. Further, HRIS mediates significantly the indirect BCTAS–eSCMD relationship.

The findings of this research shed light on the benefits and challenges of adopting BCTAS within emerging markets in general and Egyptian banking in specific, which can support an effective and efficient decision-making process undertaken by strategic and functional banking managers with EO in similar emerging economies.

Conceptually and empirically, it is the first article that investigated direct and mediating EO–BCTAS–HRIS–eSCMD relationships in a promising banking industry of an emerging market. It solved an interdisciplinary research puzzle by piecing together the relevant contemporary literature on production, operations and SC management, entrepreneurship, HR management and strategic technology adoption.

This study examines the effect of five price perception dimensions (price consciousness, price mavenism, sale proneness, price-quality schema, and prestige sensitivity) on consumer's perceived value (acquisition value, and transaction value), and how perceived value affects consumers' behavioral intentions (purchase intentions, and intentions to recommend). It also examines the moderation role of face consciousness.

A quantitative research methodology using online survey technique is employed to collect cross-cultural data from respondents from China (n = 371) and Egypt (n = 384). Structural equation model (SEM) via SmartPLS v.3.2.9 is conducted to analyze data.

The results show that consumers’ behavioral intentions toward suboptimal fresh produce are positively affected by both dimensions of perceived value. As well as, perceived value is influenced by different price perception dimensions. Moreover, face consciousness partially moderates the relationship between perceived value and behavioral intentions.

To best of the authors’ knowledge, it is the first study to associate price perception dimensions with purchase value dimensions in the context of suboptimal products. It also contributes to utility and purchase value theory by employing the distinct measures of both perceived acquisition value and transaction value, to enable us to obtain a better understanding of the whole picture of perceived value. In addition, it contributes to regulatory focus theory through the inclusion of face consciousness in the purchase value model. Moreover, up to the researchers' knowledge, prior investigation on these issues in Egypt and China as a cross-cultural research does not exist.

The purpose of this study is to check the impact of financial development on green technological innovation (GTI).

The sample size includes the 20-year (2001–2020) financial statistics of six Gulf Cooperation Council (GCC) region countries. To check the proposed relationship, this research uses a series of econometric models including fixed effect, fully modified ordinary least square and robust least square models.

The statistical results imply that financial sector development has a direct significant impact on GTI. A developed financial sector can uplift green technological development by offering more loans to industrial sectors and the import of modern technology. The statistical analysis further reveals the positive impact of gross domestic product (GDP), foreign direct investment inflow and trade volume while the negative impact of resources contribution on GTI.

The findings suggest key policy suggestions regarding the role of the financial sector in promoting GTI in the GCC region.

The novelty of this study lies in its examination of the relationship between FD and GTI in the GCC countries, a region with its unique economic and environmental dynamics.

This study aims to assess whether non-financial corporate social responsibility (CSR) information decreases audit risk and audit scope and enables speedier completion of audit reports. The study also investigates whether institutional investors’ ownership (IIO) has an influence on the association between CSR disclosures and audit report lag (ARL).

This study uses a sample of 154 Saudi firms over 2016–2021 (837 observations) and applies ordinary least square regression to examine the study hypotheses.

This study’s results show that ARL is significantly shorter for firms with higher CSR disclosures. Furthermore, the findings show that IIO has no significant impact on the association between CSR disclosures and ARL.

This study offers new insights into how auditors respond to CSR disclosures and whether institutional investor monitoring influences the audit process in an emerging economy.