Search results

The study aims to map the intellectual structure of business ethics studies by analyzing 17,246 citations of 225 papers published in Business Ethics Quarterly (BEQ) in the year between 2005 and 2014. Specifically, the purpose of the study is to describe the current state of BEQ, identify the most influential journals and works, identify the key themes of business ethics studies during 2005-2014 and, at the same time, report the changes in themes by making a comparison between two time periods – 2005-2009 and 2010-2014.

First, the study presents the information of the authors, institutions and countries that contribute to BEQ with a statistical analysis. Second, the study identifies the most cited journals and works in BEQ during 2005-2014 with a citation analysis. Third, the study identifies the key research themes in business ethics studies with a co-citation analysis. With the help of factor and social network analysis (NA), the study groups the research themes and maps their links.

First, the statistical results show that many well-known researchers from famous US institutions publishing in BEQ. Second, the citation analysis results show that quite a few journals become mature gradually in business ethics domain. Besides, most of the influential works are normative and theoretical. Third, the co-citation results indicate that “stakeholder management” and “corporate social responsibility” (CSR) are two main themes in business ethics studies in the past decade. Specifically, “stakeholder management” attracts the most research interests in both two sub-time periods. In addition, compared with the pure studies on CSR during 2005-2009, increasing researchers are keen on the theme of “political CSR under globalization” in the second five years. Meanwhile, other focus like “society, state and business ethics” earns a certain degree of attention in the time window 2005-2009. And “accountability in MNCs” and “political philosophy” are the new concerns in the year between 2010 and 2014.

The study confirms BEQ’s leadership role in business ethics domain. And, it further proves that business ethics has evolved as an independent discipline. It also helps the researchers to have a concise knowledge of the main contents and key points of business ethics research. Methodologically, co-citation analysis combined with factor and NA provides clear results and visualized figures which can be understood easily by the researchers and practitioners.

The current paper's goal is to examine the productivity of the closed banking sector evidenced from Ethiopia. In addition, the inclusion of intangibles on productivity was examined in the current paper.

First, the standard Malmquist Productivity Index (MPI) was employed for 13 commercial banks for both stages. Second, by excluding the state-owned commercial bank, the analysis employed a bootstrapped MPI for the robust and comprehensive conclusion. Furthermore, from 2010 to 2019, the fixed effect Ordinary Least Square (OLS) regression with balanced panel data was used.

The standard MPI in both stages shows that the productivity of Ethiopian commercial banks is declining. The technological shock was the main reason for the loss. The catch-up in both stages scored above unity, mainly due to the pure efficiency change. Besides, when combined with tangible resources, the inclusion of resource-based view (RBV) proxy variables reduces technological shock regress and ultimately improves productivity change. The bootstrapped MPI also reveals that technological shock is the primary source of the productivity decline. However, efficiency change also contributes to the productivity decline based on this estimation.

Future research could examine the more extensive productivity analysis by considering the primary sources of data collections for resource-based variables.

According to the study's results, banking regulatory authorities and bank management, including the shareholders, should continue to invest in cutting-edge technology to improve the productivity of the banking sector.

This is the first comprehensive study of productivity for Ethiopian commercial banks based on the standard MPI, bootstrapped MPI, and OLS by incorporating all resources into the analysis.

Can Chinese social media data (SMD) be used as an alternative to traditional surveys used to understand tourists' visitation of attractions in Chinese cities? The purpose of this paper is to explore this question.

Popular tourism SMD sources in China, such as Ctrip, Weibo and Dazhong Dianping (DZDP), were used as data source, and the relationships between these sources and traditional data sources were studied with statistical methods. Data from Shanghai were used in this study since it is rich in tourism resources and developed in information.

A systematic research method was followed and led to the following conclusions: There were positive correlations for attraction visitation between Chinese SMD and traditional survey data; Chinese SMD source could temporally indicate visits to Shanghai tourist attractions; Ctrip SMD generally performed less well than Weibo or DZDP, and different SMD performed differently depending on the specific attractions and time units in the visitation calculation process; and factors including visitation, distance from the city center and the grade of attractions might affect the prediction performance based on data from the SMD. The findings suggest that Chinese SMD could be used as a cost-efficient and reliable proxy for traditional survey data to predict Chinese attraction visitation.

This study applies and improves the methods of SMD reliability in attraction use studies, supplies the gap for premise, basis and foundation for the large amounts of tourism researches using SMD in China and could promote and inspire more efficient and advanced measures in tourism management and urban development.

Accurately evaluating fluid flow behaviors and determining permeability for deforming porous media is time-consuming and remains challenging. This paper aims to propose a novel machine-learning method for the rapid estimation of permeability of porous media at different deformation stages constrained by hydro-mechanical coupling analysis.

A convolutional neural network (CNN) is proposed in this paper, which is guided by the results of finite element coupling analysis of equilibrium equation for mechanical deformation and Boltzmann equation for fluid dynamics during the hydro-mechanical coupling process [denoted as Finite element lattice Boltzmann model (FELBM) in this paper]. The FELBM ensures the Lattice Boltzmann analysis of coupled fluid flow with an unstructured mesh, which varies with the corresponding nodal displacement resulting from mechanical deformation. It provides reliable label data for permeability estimation at different stages using CNN.

The proposed CNN can rapidly and accurately estimate the permeability of deformable porous media, significantly reducing processing time. The application studies demonstrate high accuracy in predicting the permeability of deformable porous media for both the test and validation sets. The corresponding correlation coefficients (R²) is 0.93 for the validation set, and the R² for the test set A and test set B are 0.93 and 0.94, respectively.

This study proposes an innovative approach with the CNN to rapidly estimate permeability in porous media under dynamic deformations, guided by FELBM coupling analysis. The fast and accurate performance of CNN underscores its promising potential for future applications.

In an attempt to satisfy the desire to become a global economic leader, China is working on a series of ambitious deals with several countries. As a major country in a region considered as an emerging market, the immense infrastructure gap that is curtailing trade and accessibility for economic growth has led to major changes in economic policy. The past few decades have seen China invest billions of dollars not only in the developing countries of Africa and Asia but also in other world economic giants of Europe and the USA. China has embarked on a rigorous global effort to close the infrastructure gap through the Belt and Road Initiative (BRI) in partnership with multilateral development banks. China’s BRI brings together several countries in East Asia and the Eurasian mainland into close proximity with China, thereby promoting inland trade between the countries. The investments in this project are estimated to reach US$1tn over a span of ten years. However, the volume of outward foreign direct investments (OFDI) from China to the host countries is determined by several factors. Several previous researchers have studied various issues affecting the business activities of China and the given countries. First, the cultural organization, policy approaches and objectives of China as a country create trade barriers with countries involved in the BRI plan. This paper aims to provide a comparative overview of how the institutional distance of the Belt and Road countries from China affects their sustainable development.

Data on the nature, success and challenges of the BRI (such as the volume of bilateral trade and OFDIs and its financial implications) were extracted from various published studies. The impact of cultural distance and internationalization of the BRI enterprise was analyzed through a comparative research methodology.

A significant relationship exists between institutional distance and sustainable development of the Belt and Road countries. However, the barriers – for example, inhospitable culture and regulations for organizations in participating countries – could become pillars of success once resolved.

Previous studies lacked a standard framework to investigate how institutional distance is related to China’s outbound trade with the Belt and Road countries. The comparative analysis methodology adopted in this study fills this gap.

With the rapid development of materials informatics and the Semantic Web, the semantic-driven solution has emerged to improve traditional query technology, which is hard to discover implicit knowledge from materials data. However, it is a nontrivial thing for materials scientists to construct a semantic query, and the query results are usually presented in RDF/XML format which is not convenient for users to understand. This paper aims to propose an approach to construct semantic query and visualize the query results for metallic materials domain.

The authors design a query builder to generate SPARQL query statements automatically based on domain ontology and query conditions inputted by users. Moreover, a semantic visualization model is defined based on the materials science tetrahedron to support the visualization of query results in an intuitive, dynamic and interactive way.

Based on the Semantic Web technology, the authors design an automatic semantic query builder to help domain experts write the normative semantic query statements quickly and simply, as well as a prototype (named MatViz) is developed to visually show query results, which could help experts discover implicit knowledge from materials data. Moreover, the experiments demonstrate that the proposed system in this paper can rapidly and effectively return visualized query results over the metallic materials data set.

This paper mainly discusses an approach to support semantic query and visualization of metallic materials data. The implementation of MatViz will be a meaningful work for the research of metal materials data integration.

In the wake of the ongoing financial crisis, US managerialism has been denounced as a professional caste that has slowly served to erode the competitiveness of the US economy. In light of this, there is an increasing search for possible alternatives to US managerialism, with some authorities putting forward that one enviable alternative is “Confucian management”, which they claim is a means of organising in Chinese institutions that gets things done by pulling on the rich heritage of Ancient Chinese philosophy. The purpose of this paper is to interrogate “Confucian management”.

This paper questions the common view of “Confucian management” through an ethnography of Baiyun University (a pseudonym) in South China, where the author worked as a “foreign” English lecturer for one academic year, and in order to do this the author draws on participant-observation and semi-structured interviews. Ethnography has long been associated with colonialism and has more recently been connected with post-colonialism, so in an attempt to decolonise the methodology, the author analyses the generated research data through a Chinese sensitive cultural framework.

This paper argues that “Confucian management” offers a confused and epistemologically questionable view on Chinese management. It points to some of the limitations of management and organisation studies brought about by claims being made without sufficient empirical evidence.

The focus is on “Confucian management” at Baiyun University so findings are specific to this empirical research site. It is also acknowledged that universities have a divergent form of management to other institutions. The paper’s intent is ideographic rather than nomothetic; therefore, no claims to generalisation are made.

The paper makes three substantive contributions. First, the empirical contribution is an ethnographic description of “Confucian management” at Baiyun University. Second, the methodological contribution attempts to decolonise methodology by analysing the generated research data through a Chinese sensitive cultural framework. Third, the epistemological contribution queries to what extent “Confucian management” as an idea that is enunciated from the Global North is able to effectively speak about a practice that is supposedly performed in the Global South.

This paper aims to present a novel approach for computing particle temperatures in simulations coupling computational fluid dynamics (CFD) and discrete element method (DEM) to predict flow and heat transfer in fluidized beds of thermally thick spherical particles.

An improved lumped formulation based on Hermite-type approximations for integrals to relate surface temperature to average temperature and surface heat flux is used to overcome the limitations of classical lumped models. The model is validated through comparisons with analytical solutions for a convectively cooled sphere and experimental data for a fixed particle bed. The coupled CFD-DEM model is then applied to simulate a Geldart D bubbling fluidized bed, comparing the results to those obtained using the classical lumped model.

The validation cases demonstrate that ignoring internal thermal resistance can significantly impact the temperature in cases where the Biot number is greater than 0.1. The results for the fixed bed case clearly demonstrate that the proposed method yields significantly improved outcomes compared to the classical model. The fluidized bed results show that surface temperature can deviate considerably from the average temperature, underscoring the importance of accurately accounting for surface temperature in convective heat transfer predictions and surface processes.

The proposed approach offers a physically more consistent simulation without imposing a significant increase in computational cost. The improved lumped formulation can be easily and inexpensively integrated into a typical DEM solver workflow to predict heat transfer for spherical particles, with important implications for various industrial applications.

The purpose of this paper is to present a computational fluid dynamic simulation for the investigation of the particles segregation phenomenon in the gas–solid fluidized beds.

These particles have the same size and different densities. The k–ε model and multiphase particle-in-cell method have been utilized for modeling the turbulent fluid flow and solid particles behaviors, respectively. The coupled equations of the velocity and pressure have been solved by using a combination of SIMPLE and PISO algorithms. After validating the simulation, different mixing indices, with different calculation bases, have been investigated, and it has been found that the Lacey mixing index, which was defined based on statistical concepts, is suitable to investigate the segregation/mixing phenomena of this bed in different conditions. Finally, the effects of parameters such as velocity, particle density ratio, jetsam concentration, and initial arrangement on the segregation/mixing behaviors of the bed have been studied.

The results show that the increase in the superficial gas velocity decreases the mixing index to a minimum value and then increases this index in the beds with mixed initial condition, unlike the beds with separated initial condition. Moreover, an increase in the particle density ratio increases the minimum fluidization velocity of the bed, and also the amount of segregation, and increase in the jetsam concentration increases the value of the mixing index.

A computational fluid dynamics simulation has been presented for the particles segregation phenomenon in the gas–solid fluidized beds.

The purpose of this paper is to investigate the influence of religious entrepreneurs on bank loans and further examine the moderating effect of entrepreneurial gender.

In 2010, the Chinese national survey reported the different religious beliefs of private entrepreneurs. Using this set of survey data, the authors obtain a sample of 4,330 Chinese family firms and employ the Tobit regression approach to examine the relationship between the amount of bank loans and the religious background of entrepreneurs. In addition, the authors use the propensity score matching approach to address the endogeneity issue.

Based on the data from the 2010 national survey, the authors document that the amount of bank loans is significantly higher for Chinese family firms with religious entrepreneurs than for their counterparts. This finding suggests that religious individuals are inclined to be more ethical and honest and Chinese family firms with religious entrepreneurs transfer soft information to banks, and eventually lenders favor religious entrepreneurs with more bank loans. Moreover, the authors reveal that the amount of bank loans is significantly larger for firms with female entrepreneurs than for those without female entrepreneurs. In addition, entrepreneurial gender attenuates the positive relationship between religious entrepreneurs and bank loans.

This study is one of few studies to examine the influence of an entrepreneur’s religious belief on bank credit decisions and adds to previous studies about religious influence on corporate behavior by revealing a positive association between religious entrepreneurs and bank loans. Moreover, this study validates that female entrepreneurs exert positive effects on the amount of bank loans and attenuate the positive influence of religious entrepreneurs on bank loans.