Search results

This study aims to evaluate the protection performance of zinc as sacrificial anode for ABS A steel in the presence of H₂S under different temperatures, pH and salinities.

In this paper, weight loss measurements and electrochemical measurements are used to evaluate the corrosion degree of zinc and ABS A steel.

Under the conditions involved in this work, it is shown that zinc is a nice sacrificial anode with the reason of its stable potential and excellent anode current efficiency according to the relevant standard. And it is also found that the hydrogen evolution does not occur on ABS A steel specimens. The potential difference between cathode and anode is suitable; thus, it can be concluded that each steel is well protected.

To the best of the authors’ knowledge, no other study has analyzed the protection mechanism and effect of zinc as sacrificial anode in H₂S-containing environments under high temperature at present.

This paper presents insights on expatriates in Africa and sets out a research agenda for Africa’s expatriation. The objective of the paper is to provide background and context on expatriation in Africa and to stimulate and guide further research in this important area.

The reviewed papers were drawn from journals and other sources that reported on expatriation to/from African countries. It also incorporates an array of literature on contextual African issues, exploring conceptually how these relate to expatriation.

The review confirmed that there is little research on the topic, particularly with respect to outward expatriation and the studies that exist are one of a kind and stand alone. There has been no attempt to build systematic theory or develop a wholistic picture. This means that the field is wide open for more research. The data provide a picture of the current expatriate situation, including numbers, demographics, host/home locations, success rates and so on, and are provide a basis for further research developing and testing hypotheses regarding individual, organizational and country/national characteristics and how these influence and relate to expatriate experiences and outcomes. Researchers can also draw on the existing expatriation literature from around the world for replication studies to identify uniquely African issues as well as similarities with other locations. As Selmer (2016) noted, replication research is widely used in the sciences and is at the core of the scientific method and thus should be considered for expatriation research.

Limited previous research means there is a need for further research.

Expatriation is a critical aspect of companies operating internationally and companies are increasingly interested in doing business in African countries. Africa's economic growth and development are strong and foreign direct investment (FDI) into Africa is growing with consequent increases in the number of expatriates going to Africa. Understanding expatriation in the African context is thus very important to a variety of companies.

Management literature focusing on Africa is limited and this is true regarding expatriation. This means there is a need for researchers and practitioners to understand expatriation issues in this context, particularly considering economic growth on the continent, increasing interest in doing business there, along with increasing FDI and use of expatriates, as well as the expansion of African companies. This paper provides a research agenda as a guide on which researchers, including those in Africa, can build.

Moral consideration is significantly important as social responsibility of economic actions. This article aims to analyze the moral embeddedness of labor market using the typology of moral behavior in market exchange by Beckert (2005).

This study contributes to methodological novelty through a digital research design using Gephi and NVIVO software. Textual Network Analysis (TNA) is used to analyze the moral embeddedness of labor market transaction of Chinese migrant workers.

Overall, the results show that the presence of Chinese migrant workers in Indonesia is a form of Trojan altruism and harmful to local labor market. This study also provides a theoretical debate that morals are always embedded in markets.

The data and focus of this study are the Indonesian side, particularly the local labor market. In addition, access to interviews with the Chinese government and companies is very challenging and cannot be done because they cannot carelessly provide information to journalists and researchers.

In contrast to previous studies on Chinese migrant workers that tend to use the economic perspective, this study applies the moral perspective that is more sociological and discusses social responsibility of market actions.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0737

This study examines the impact of China's trade and foreign direct investment (FDI) on Africa's global value chain (GVC) participation and economic upgrading.

The study covered 48 African countries, cutting across the western, eastern, central, southern and northern subregions to cover the heterogeneity of the continent. The study adopted feasible generalized least squares panel VAR-Granger causality Wald test and system generalized methods of moments techniques for estimation.

Overall, China's FDI to Africa and US-Africa trade have a linear relationship with Africa's GVC involvement and economic upgrading. The findings suggest that although China-Africa trade has a positive impact on GVC engagement and upgrading, the marginal effect decreases in the face of US-Africa and EU-Africa trade.

This study provides new evidence on the impact of China's FDI and trade on African economies' GVC participation and economic upgrading. To the best of the authors’ knowledge, this is the first study to empirically explore the effects of China's FDI and trade on Africa's GVC integration and economic upgrading as well as from the perspectives of backward and forward GVC participation. Furthermore, the study empirically examines whether the effects of Africa's economic cooperation with China relative to its GVC engagement differ from those of Europe (EU) and the US via a comparative regression.

Drawing on the resource-based view (RBV) and structure–conduct–performance (SCP) paradigm perspectives, this study aims to investigate the influence of the innovation and technical capabilities of exporting organisations on their export performance moderate by competitive intensity.

Primary data were collected from 162 Chinese manufacturer–exporter companies operating across China. The conceptual framework of this study, which incorporated the impact of RBV and SCP paradigm determinants on export performance through the interaction effect of competitive intensity, was tested using structural equation modelling (Smart-PLS).

Results show that the technical and innovation capabilities can increase its export success in international markets. Furthermore, this research finds that competitive intensity moderates the positive relationship between technical capability and export performance but not the relationship between innovation capability and export performance.

This study presents a holistic assessment of the export performance of manufacturer–exporter enterprises by accounting for the overlooked effect of organisational capabilities through the moderating function of competitive intensity. This study has far-reaching consequences for export academics and practitioners, including the fundamental concept of an internationalizing small- and medium-sized enterprises, especially the manufacturers.

A stroke is a serious, life-threatening condition that occurs when the blood supply to a part of the brain is cut off. The earlier a stroke is treated, the less damage is likely to occur. One of the methods that can lead to faster treatment is timely and accurate prediction and diagnosis. This paper aims to compare the binary integer programming-data envelopment analysis (BIP-DEA) model and the logistic regression (LR) model for diagnosing and predicting the occurrence of stroke in Iran.

In this study, two algorithms of the BIP-DEA and LR methods were introduced and key risk factors leading to stroke were extracted.

The study population consisted of 2,100 samples (patients) divided into six subsamples of different sizes. The classification table of each algorithm showed that the BIP-DEA model had more reliable results than the LR for the small data size. After running each algorithm, the BIP-DEA and LR algorithms identified eight and five factors as more effective risk factors and causes of stroke, respectively. Finally, predictive models using the important risk factors were proposed.

The main objective of this study is to provide the integrated BIP-DEA algorithm as a fast, easy and suitable tool for evaluation and prediction. In fact, the BIP-DEA algorithm can be used as an alternative tool to the LR model when the sample size is small. These algorithms can be used in various fields, including the health-care industry, to predict and prevent various diseases before the patient’s condition becomes more dangerous.