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The purpose of this paper is to analyze the effects of corruption on investment and growth in 15 Middle East and North African (MENA) countries during the period 1985-2013. The authors used the International Country Risk Guide (ICRG) corruption index and conducted a panel cointegration analysis and Granger causality procedure to detect the dynamic relationships between the variables. Results indicate that corruption is a serious hurdle to economic growth in MENA countries since it affects investment activities and foreign direct investment inflows. In this case, policymakers have to implement effective anti-corruption strategies to avoid the epidemic of corruption.

The authors used the ICRG corruption index and conducted a panel cointegration analysis and Granger causality procedure to detect the dynamic relationships between the variables.

The main findings of this paper show that corruption is a serious hurdle to economic growth in MENA countries since it affects investment activities and foreign direct investment inflows. In this case, policymakers have to implement effective anti-corruption strategies to avoid the epidemic of corruption.

Unfortunately, in this study the authors did not use institutional variables to see their role and to judge whether governments should enhance the quality of institution and improve the corporate governance. This would be an opportunity to expand the sample and to conduct a new research in the near future to assess the real costs of corruption in the MENA region.

Governments and policymakers need to apprehend and admit that corruption is an important issue that deters foreign direct investment and threats the economic development and growth. Corruption can also deteriorate the infrastructure and increase the cost of doing business for both government and private sector which in turn will lower the growth (Tanzi and Doovi, 1997). It is worth recalling that during the past five years, a large part of the MENA region has witnessed multiple social upheavals. Hence, corruption must be tackled effectively and coherently to avoid further social tensions. It is the proper time to take serious steps and strict policy actions within a zero-tolerance framework to fight corruption and its widespread. New rules, laws, and anti-corruption procedures are among the most important initiatives that governments should implement. The governments should also increase the public awareness of the multiple drawbacks of corruption by publishing official reports and data on the most corrupted sector in the country. In this case, media will have a key role to diffuse the necessary information.

While most of the previous studies have employed GMM and OLS techniques, the authors opt a panel vector error correction model and cointegration technique to detect causality between the variables used in the model for the present study.

This study aims to offer an effective nanocomposite for potential use to consolidate and protect deteriorated archaeological pottery.

Three nanocomposites were used in the experimental study. This study used nano Primal AC33, silicon dioxide (SiO₂) and montmorillonite (MMT) nanoparticles to protect and consolidate pottery specimens. Pottery specimens were made at 800°C for this investigation. Consolidation materials were applied with a brush. The properties of the treated pottery specimens were assessed using several methods such as digital and scanning electron microscopes, static water contact angle, color alteration, physical properties and compressive strength.

Microscopic examination indicated the ability of the nano Primal AC33/MMT nanocomposites to cover the outer surface well and bind the inner granules. Concerning specimens with code F treated with nano Primal AC33 5%/MMT 3% nanocomposites, it achieved an increase in contact angle (120°), density (1.23 g/cm³) and compressive strength (561 kg/cm²), as well as a decrease in color change (ΔE = 2.62), water absorption (4.45%) and porosity (5.46%). The novelty of the results is due to the characteristics of nano Primal AC33 5%/MMT 3% nanocomposites used in the current study.

This study describes the significant results of the analytical methods used for evaluating consolidation materials used in this study. The findings offer useful information for the protection of archaeological pottery. The investigation indicated that nano Primal AC33 5%/MMT 3% nanocomposites gave the best results. Therefore, it is recommended to use this nanocomposite to consolidate archaeological pottery. As a result, the current work provides a promising first step in conserving archaeological pottery for future studies.

The purpose of this study is to provide a comprehensive analysis on the economic relationship between trade openness and economic growth and to identify current developments, potential research area and future directions. The emphasis is on the identification of annual growth of publications, country-wise distribution, publication pattern, intellectual structure and cluster analysis of scientific production in this field.

This study used evaluative techniques, text mining approach and performance analysis to identify possible patterns and correlation and to measure the impact of authors/citations/scientific production. Further, this study used the bibliometric mapping to represent the structural features of scientific production. This study emphasized on identification of the research hotspots based on occurrence of indexed keywords, productive researchers and journals during 2000–2022. Further, cluster analysis is performed using VOS viewer to analyze the current dynamics and future direction of the association between trade openness and economic growth (Eck and Waltman, 2011). Also, co-citation analysis is used in this study to identify the relations among authors or journals or documents using citation data, whereas the bibliographic coupling/mapping is intended to analyze the citing documents. Similarly, co-word analysis is used to study the article keywords that are mainly used to assess the conceptual structure of a concerning subject.

Economic growth is a function of trade openness, and it is important to analyze the relationship between trade openness and economic growth. Trade openness tends to become more liberalized over time, to contribute more to economic growth. Empirical evidence suggested that there exists a strong association between trade openness and economic growth. Further, keyword timeline analysis illustrated that the linkage between trade openness and economic growth is current area of interest among researchers. As per bibliometric analysis, China, Pakistan and Malaysia are the three most prolific countries in the terms of published articles on this theme. However, the most influential publications based on h-index and citation on trade openness–economic growth relationship is produced by Turkey. Based on cluster analysis, this study suggests that researchers are currently working on trade openness–economic growth relationship with other variables such as FDI, financial development, labor force, environment degradation and carbon emission, while in future, researchers could work on variables such as technology and sustainable development.

There are some limitations of this study. The first limitation is the authors have used Scopus database, leaving the possibility for future research to use Web of Science, Google Scholar or other similar sources. The second limitation is that the authors have used search terms “trade openness “and “economic growth,” although research could be performed using synonyms or even relevant terms in other languages.

Cluster analysis suggested that researchers are currently working on trade openness–economic growth relationship with other variables such as FDI, financial development, labor force, environment degradation and carbon emission, while in future, researchers could work on variables such as technology and sustainable development. Therefore, this study identified the potential research area in this research domain.

To confirm the originality of this study, to the best of the authors’ knowledge, this is the first study to combine bibliometric analysis and cluster analysis on trade openness–economic growth relationship. This study makes a comparison with phenomena/processes/events in contemporary economic and social reality in the field of trade openness and economic growth relationship.

This paper aims to synthesize, analyze and categorize the empirical literature on country-specific factors that affect foreign direct investment (FDI) inflows to the Middle East and North Africa (MENA) region. Identifying gaps and methodological challenges in the reviewed articles, recommendations are made to guide future research.

Applying the systematic review methodology, content analysis is conducted of 42 relevant empirical studies that explore country-specific FDI determinants in the MENA region during the period 1998–2018.

This review study identifies four main research gaps in the extant literature: a lack of consensus on a common definition of the MENA region and a weak understanding of the specificities of its investment environment; a limited set of FDI theories used and a lack of other theoretical perspectives; a recurrent focus on the direct relationship between host country–specific determinants and FDI, thus ignoring the moderating and mediating effects of some variables; and the absence of certain country-specific factors pertaining to the MENA countries.

This study contributes to the international business field by enhancing our understanding of the FDI determinants in emerging and developing markets, especially the MENA countries. It develops a typology of FDI country-specific factors in the MENA region based on four main categories: macroeconomic and financial, institutional and regulatory, natural resource endowment and socio-cultural. Paths for future research are suggested.

This study aims to detect the main factors impeding the anti-female genital mutilation (FGM) efforts in Egypt post the January 25 revolution, with a special focus on the era of president El-Sisi. The purpose of this paper is to explain the reasons behind the continuation of violence against women in Egypt, namely, FGM, in light of the patriarchal structures and the state willingness to address that challenge.

The study utilizes a qualitative methodology. The study embarks on in-depth semi-structured interviews with 23 participants who experienced FGM and nine key informants from medical, religious, political and civil society backgrounds, including a professor of pathology, a gynecologist, a diplomatic researcher in Al-Azhar, three members of parliament, a representative of the Ministry of Population, the reporter of the National Council for Women and a representative of Nazra non-governmental organization for feminist studies in Egypt.

The findings reveal that FGM remains prevalent not only due to the persisting socio-cultural context that continues to embrace and reproduces gender inequalities, but also because of the insufficient political will to combat FGM and enforce the required laws.

FGM is considered one form of gender inequality perpetuated by social, cultural and economic structures. It is recognized internationally as a crime and a violation against women’s rights as per the Universal Declaration of Human Rights, the Convention on the Elimination of All Forms of Discrimination against Women, the Convention on the Rights of the Child, etc. Although the Egyptian Government passed laws banning the practice of FGM, it continues to form a challenging problem to social workers, women activists, human rights groups and public health officials.

Little work has been done to investigate FGM post the January 25 revolution in Egypt and identify the main factors impeding the anti-FGM efforts in Egypt. This work fills this gap and concludes with some lessons learnt to fight FGM and improve the anti-FGM efforts.

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.

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.

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).

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.

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.

The credit crunch of 2008 and recent COVID-19 influences underscored the importance of liquidity and credit risk management in businesses and financial institutions. The purpose of this study is to investigate the impact of liquidity risk and credit risk management on accounting and market performances of banks operating in the Middle East and North Africa (MENA) region.

This study uses a panel data regression analysis on a sample of 51 listed commercial banks operating in 10 MENA countries during the period 2010–2018.

The results show that credit risk management does not affect the accounting performance of banks, while it has a non-linear, convex relationship with market performance. Surprisingly, liquidity risk management is not a significant driver for either performance measure in studied banks. However, when a bank combines credit risk management with liquidity risk management efforts, liquidity risk management actions return significant results on both performances, illustrated by an inverted U-shaped relationship. In addition, this study examines the joint impact of both risks on bank performance. This study reveals that accounting and market performances are differently affected by joint risk management efforts. Their impact depends on the combination of risk management ratios upon which banks choose to focus their efforts.

The findings help bankers and regulators further consider non-linearities and offer them new tools for managing the impact of credit and liquidity risk interactions towards achieving more financial stability.

These results contribute to traditional banking in offering bankers and regulators new tools for managing the impact of credit and liquidity risk interactions on bank performance.

The purpose of this paper is to propose a distributed protocol to build a logical coordinate system based on the hop counts of each node to four selected landmarks, and the real location information is not needed.

The designed protocol uses the sink node as one of the landmarks and then selects three other sensor nodes near the corners of the sensor network as landmarks.

The simulation results show that the proposed protocol has the superior performance in packet delivery ratio, average hop counts among nodes, and communication overhead to previous works.

This paper presents a distributed protocol to build a logical coordinate system based on hop counts to landmarks.

As public health professionals strive to promote vaccines for inoculation efforts, fervent anti-vaccination movements are marshaling against it. This study is motived by a need to better understand the online discussion around vaccination. The authors identified the sentiments, emotions and topics of pro- and anti-vaxxers’ tweets, investigated their change since the pandemic started and further examined the associations between these content features and audiences’ engagement.

Utilizing a snowball sampling method, data were collected from the Twitter accounts of 100 pro-vaxxers (266,680 tweets) and 100 anti-vaxxers (248,425 tweets). The authors are adopting a zero-shot machine learning algorithm with a pre-trained transformer-based model for sentiment analysis and structural topic modeling to extract the topics. And the authors use the hurdle negative binomial model to test the relationships among sentiment/emotion, topics and engagement.

In general, pro-vaxxers used more positive tones and more emotions of joy in their tweets, while anti-vaxxers utilized more negative terms. The cues of sadness predominantly encourage retweets across the pro- and anti-vaccine corpus, while tweets amplifying the emotion of surprise are more attention-grabbing and getting more likes. Topic modeling of tweets yields the top 15 topics for pro- and anti-vaxxers separately. Among the pro-vaxxers’ tweets, the topics of “Child protection” and “COVID-19 situation” are positively predicting audiences’ engagement. For anti-vaxxers, the topics of “Supporting Trump,” “Injured children,” “COVID-19 situation,” “Media propaganda” and “Community building” are more appealing to audiences.

This study utilizes social media data and a state-of-art machine learning algorithm to generate insights into the development of emotionally appealing content and effective vaccine promotion strategies while combating coronavirus disease 2019 and moving toward a global recovery.

The peer review history for this article is available at https://publons.com/publon/10.1108/OIR-03-2022-0186

Motivated by recent financial liberalization policies in emerging markets, this study investigates whether bank competition and regulatory capital affect bank risk taking in an international banking context.

Bank competition is regressed, using GLS regression, on various measures of bank risk, to reflect regulatory, accounting and market-based risk-taking. The authors use a sample of publicly traded banks operating in Africa during 2004–2019.

Results show that higher level of bank competition increases bank risk taking and results in greater financial fragility in the absence of banking capital regulations. Furthermore, larger capital adequacy ratios control the risk-taking incentives of managers and guard banks against the risk of default. Further tests confirm the significance of market-based risk measures over accounting and regulatory measures.

Findings are relevant to bank managers and regulators in their sustained effort of finding an optimal balance between bank competition and financial stability. Increased competition should be balanced with capital regulations to curtail bank excessive risky behavior and derive the social benefits of greater competition in the market while sustaining overall economic growth.

This study provides novel evidence in an international context. First, it uses regulatory, accounting and market-based measures of bank risk taking to reflect regulators', management and market participants' emphasis. Another original contribution is the investigation of bank competition across African economies characterized by financial liberalization, stringent banking system and interesting socio-economic challenges.