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This paper aims to study how brand owners and users enhance brand bond with three objectives. First, brand owners’ effort (BOE) to exercise care, innovate frequently and differentiate their brands enhances users’ bond with the brand. Second, brand users’ competence (BUC) in their knowledge and experience with the brand’s reputation, value and service quality improves brand bond. Third, BOE significantly enhances BUC.

This study proposed an integrative model with new concepts and tested it with 2,135 young Chinese consumers using global smartphone brands. Results are drawn from structural equation modeling and comparisons between stakeholders and among smartphone brands.

The results show that BOE and BUC are significant and equally effective at enhancing brand bond. BOE also shows a significantly stronger effect on BUC than on brand bond. The temporal comparison between 2015 and 2018 confirms the changing reality of the smartphone world. As for brand comparison, young consumers perceive that iPhone differentiates itself from Huawei and Samsung rivals in terms of BOE and BUC on brand bond. However, none of these brands show significant differences in terms of BOE effect on BUC.

Please see detail in the Conclusion and Discussions.

Please see detail in the Conclusion and Discussions.

Please see detail in the Conclusion and Discussions.

This study introduced a validated model with new concepts based on the global smartphone industry, perceived by young Chinese consumers. The results prove that it takes both the owners and users together to contribute to the brand bond, but brand owners’ role on BUC is more significant.

This study aims to feature the application of the artificial compressibility method (ACM) for the numerical prediction of two-dimensional (2D) axisymmetric swirling flows.

The respective academic numerical solver, named IGal2D, is based on the axisymmetric Reynolds-averaged Navier–Stokes (RANS) equations, arranged in a pseudo-Cartesian form, enhanced by the addition of the circumferential momentum equation. Discretization of spatial derivative terms within the governing equations is performed via unstructured 2D grid layouts, with a node-centered finite-volume scheme. For the evaluation of inviscid fluxes, the upwind Roe’s approximate Riemann solver is applied, coupled with a higher-order accurate spatial reconstruction, whereas an element-based approach is used for the calculation of gradients required for the viscous ones. Time integration is succeeded through a second-order accurate four-stage Runge-Kutta method, adopting additionally a local time-stepping technique. Further acceleration, in terms of computational time, is achieved by using an agglomeration multigrid scheme, incorporating the full approximation scheme in a V-cycle process, within an efficient edge-based data structure.

A detailed validation of the proposed numerical methodology is performed by encountering both inviscid and viscous (laminar and turbulent) swirling flows with axial symmetry. IGal2D is compared against the commercial software ANSYS fluent – by using appropriate metrics and characteristic flow quantities – but also against experimental measurements, confirming the proposed methodology’s potential to predict such flows in terms of accuracy.

This study provides a robust methodology for the accurate prediction of swirling flows by combining the axisymmetric RANS equations with ACM. In addition, a detailed description of the convective flux Jacobian is provided, filling a respective gap in research literature.

The article investigates whether variety of democracy affects the probability to employ public subsidies for credit support by small- and medium-sized enterprises (SMEs) led by female entrepreneurs.

Building on the literature on democracy and on gender differences, it leverages a large firm- and country-level dataset (SAFE) of 31 democracies in Europe (EU and non-EU) over the 2009–2014 period by using probit models and instrumental variable approaches.

Results from the different econometric techniques and samples suggest that variety of democracy affects female-led SMEs in using public subsidies for credit support. The evidence is robust to endogeneity concerns.

The empirical evidence presents a time frame limitation. At the same time, SAFE is the only database that supplies information about the gender of firms and public subsidies for credit support, rendering it the only resource that allows the test of the hypothesis proposed. The article therefore offers insights for scholars to revisit our results in future studies that make use of datasets with a longer time span – when they will become available.

To the best of the authors' knowledge, the article is the first to study the effect of democracy on female entrepreneurial behavior in the use of public subsidies for credit support.

The Chinese believe that “man will conquer the sky” and “fighting with the sky brings endless joy”. Considering that disaster assessment can be regarded as a two-person, zero-sum game problem between nature and human beings, this paper proposes a multi-attribute decision-making method based on game theory and grey theory in a single-value neutrosophic set environment. Due to the complexity and uncertainty of the decision-making environment, the method builds a decision matrix based on single-valued neutrosophic numbers.

First, the authors use the single-value neutrosophic information entropy to calculate the attribute weights and the weighted decision matrix. Second, the optimal mixed strategy method based on linear programming solves the optimal mixed strategy for both sides of the game so that the expected payoff matrix can be obtained. Finally, grey correlation analysis is used to obtain the closeness coefficient of each alternative based on the expectation payoff matrix to identify the ranking result of the alternative.

An example is used to verify the effectiveness of the proposed method, and its rationality is verified through a comprehensive comparison and analysis of the various aspects.

The proposed decision-making method can be applied to typhoon disaster assessment. Such assessment results can provide intelligent decision support to the relevant disaster management departments, thereby reducing the negative impact of typhoon disasters on society, stabilizing society and improving people's happiness. Further, the method can be used for decision-making, recommendation and evaluation in other fields.

The proposed method uses single-value neutrosophic numbers to solve the information representation problem of decision-making in a complex environment. Under a new perspective, game theory is used to handle the decision matrix, while grey relational analysis converts inexact numbers to exact numbers for comparison and sorting. Thus, the proposed method can be used to make reasonable decisions while preserving information to the extent possible.

The aim of this paper is to document the effect of democracy on the financing constraints faced by private firms.

This paper uses the data from the World Bank's Enterprise Surveys to test the arguments presented in this paper in a large sample of private firms from 92 developing countries.

The results show that firms headquartered in more democratic countries have better access to finance than firms headquartered in less democratic countries. The findings are robust to the comprehensive inclusion of relevant controls and to a number of sensitivity tests. The authors' findings highlight an important channel through which democracy can affect the business environment of a country.

The authors believe that this paper is an initial attempt to document the effect of democracy on the financing constraints faced by private firms.

Explores the consumer behaviour patterns of urban Chinese children as a primary and an influence market. Examines, as primary customers, their income, spending and saving pattern. Finds that they have two different types of income, save over half of it, and spend the rest on snack items, and the largest portion on school‐related items. Analyses their influence on the spending behaviour of their parents and grandparents among 25 product categories and the results reveal that they influence around two‐thirds of parents' purchases. Also considers role of age and gender on children's consumer behaviour. Discusses some marketing implications.

The purpose of this paper is to investigate the risk-taking channel of monetary policy transmission in the Chinese banking industry. This study also investigates the role of various other factors in the risk-taking channel.

This study used panel data from 2000 to 2012, and a dynamic panel model (Difference GMM) was applied.

The empirical findings of this paper suggest that loose monetary policy rates increase bank risk-taking. Unlike previous studies, the results of this paper suggest that the bank-specific factors (size, liquidity and capitalization) do not significantly affect the risk-taking channel. However, the market structure does have a stabilizing effect on monetary policy transmission and the risk-taking channel. Higher market power weakens the risk-taking channel of monetary policy transmission.

Of significance to the policymakers' point of view is that loose monetary policy induces banks to take excessive risks. However, such effects can be mitigated by encouraging a proper level of market power in banking markets.

This study investigated the risk-taking channel of monetary policy transmission for the Chinese banking industry. Due to the unique features of the People's Bank of China (PBC, Central Bank of China) policy, this study also contributes to the literature by comparing price-based and quantity-based monetary policy tools and their effectiveness in financial stability and monetary policy transmission. Furthermore, the role of market structure is also investigated in the risk-taking channel.

The purpose of this paper is to report on the 2010 annual meeting of the American Association for the Advancement of Science (AAAS), its 176th meeting, held February 18‐22, 2010 in San Diego.

Provides an overview of nine presentations as well as internet links (or bibliographic citations) of pertinent research, on each topic covered, for further understanding of the subject matter.

There is plenty of research on which to report.

The paper provides information on the latest research on: current technological advances relating to connectivity to the internet; key questions relating to the voluminous amount of data generated annually; and, how computational science, and its enabling cyberinfrastructure, is tackling some of the “grand challenges” facing science and society today.

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.