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Corruption perception is essential to study because it can shape people’s attitudes toward the government. Thus, the purpose of this paper is to address this key question: what factors are associated with a non-expert’s judgment of whether Canada is corrupt?

This study uses the World Value Survey conducted in Canada in October 2020. This survey is based on a nationally representative sample of a cross-section of adult Canadian residents, including Canadian citizens and permanent residents and those who are neither Canadian citizens nor permanent residents.

Based on this study, some conclusions can be made. First, people accessing corruption news from the traditional news media are less likely than those receiving information from the new media to perceive the state (in this case, Canada) as corrupt. Second, people who have less confidence in public institutions are more likely to perceive a country as corrupt. Third, people who participate in electoral and non-electoral forms of political participation are more likely to perceive the state and its public officials as corrupt. Fourth, regardless of which political party is in power, individuals who lean right politically are more likely than those on the left to perceive the state as corrupt. Finally, immigrants are less likely than those born in Canada to perceive the state as corrupt. This work enriches the literature on the substantive understanding of the factors associated with corruption perception.

Studies investigating factors associated with public perception of corruption tend to focus on developing countries. The current study contributes to filling this gap in knowledge by examining correlates of corruption perception in Canada. As a result, this study contributes to the literature on factors associated with corruption perception, especially in the developed country context.

The purpose of this paper is to assess the government efforts in criminalising and combating bank fraud and corruption in China and their policy implications.

An integrated method is used to gather the data for this study, including government documents, statutes, congressional reports, legal cases, news reports, online survey and interviews with key policy‐makers, investigators and prosecutors.

This research finds that a major problem of bank fraud and corruption in China is the gigantic web of government officials, bank insiders and criminal businesses in committing fraud. The harshness of the Chinese law has not automatically resulted in making the struggle against bank fraud more effective. Law, enforcement and punishment are not certain, predictable, and applied consistently in order to deter fraud. Political, ideological and legal differences have hindered China's pursuit of escaped criminals in foreign countries.

This paper indicates that a three‐pronged approach – deterrence, prevention and education – is needed to address bank fraud and corruption. The industry's preventive efforts are of far greater importance than any extreme penalty. There is a need for a reconstruction of business ethics to ensure willing compliance with the law by individuals and organizations.

The paper is of value to law enforcement policy‐makers, banking regulators, financial institutions and academic researchers with interests in bank fraud and corruption issues.

The purpose of this paper is to examine the effectiveness of illegal insider trading enforcement in China by focusing, among other things, on the Chinese Securities Regulatory Commission's (CSRC) enforcement actions in the period 1993‐2006.

This paper discusses the CSRC's enforcement policies and practices of insider trading regulation, based upon administrative and judicial cases, face‐to‐face interviews with regulators, and policy documents.

A major finding of the study is the paucity of insider trading cases and the lack of convictions for insider trading offences in China. The campaign against securities offences did not actually come with the stricter enforcement of insider trading laws. A primary challenge in the insider trading regulation comes from the fact that most insider trading cases involve high‐ranking government and party officials. The CSRC lacks the power to directly administer discipline and penalties on government officials and party cadres for insider trading offences.

It is recommended that the CSRC be given more power, more resources and more trained regulators to detect and address insider trading activities. It is also recommended that the CSRC improve its surveillance capabilities by fully utilizing sophisticated computer surveillance software systems, by improving inter‐agency and inter‐market information‐sharing, and by cooperating with other countries' regulators and participating in the ISG's database to detect possible international insider trading.

The paper will be of interest to researchers in the field of financial crime and securities regulation. Regulators, the private sector and government departments will also benefit from an analysis of Chinese insider trading enforcement cases. This paper also suggests better strategies for dealing with insider trading offences in China. A fair and orderly market is crucial for investors in the Chinese market.

The purpose of this paper is to explore determining factors that account for variation in public satisfaction with the local police in Saskatoon, Saskatchewan, Canada.

An integrated method was used to gather the data for this study, including official survey data conducted by Insightrix, and interviews with citizens in Saskatoon.

This research found that demographic factors including age, race (in this study, Aboriginal status in particular), education, and income, perception of neighborhood safety, citizen-police interaction, and learning about crime from news media all have impact on public attitudes toward the police, to different degrees. The gap or distance between the police and the Aboriginal community was highlighted as a major factor.

Further research should be done to compare statistical patterns in other same-level cities in Canada.

This paper indicates that Saskatoon Police Service in the future should provide a more structured avenue for citizen participation in establishing safe neighborhoods, more structured cultural sensitivity training, and create a wider channel through which community residents with various social backgrounds can demand some measure of accountability for police work in their area.

The paper is of value to law enforcement policy-makers and academic researchers with interest in policing and police-community relationship.

This study aims to examine the impact of the supplier's coercive and cognitive pressures on a manufacturer's green purchasing decision-making process and the resultant implications in terms of operational and environmental performances.

Path analysis is performed to test the hypothesized linkages.

This study finds that the supplier's coercive pressure, environmental focus and socio-cultural responsibility will lead a firm to more successful implementations of green purchasing, which, in turn, results in improved operational and environmental performances. The study findings reveal that the commercial values of green purchasing in addition to social and political obligations will promote the adoption of green purchasing in supply chain management practice.

This study helps business managers understand the impacts of the supplier's coercive and cognitive pressures on green purchasing and the manufacturer's resultant performances. In particular, coercive pressure is operationalized by the supplier's coercive pressure and environmental regulatory pressure, while cognitive pressure is reflected in the supplier's environmental focus and socio-cultural responsibility. This study contributes to the extant theories and enriches the literature on green purchasing.

A good decision support system for credit scoring enables telecom operators to measure the subscribers' creditworthiness in a fine-grained manner. This paper aims to propose a robust credit scoring system by leveraging latent information embedded in the telecom subscriber relation network based on multi-source data sources, including telecom inner data, online app usage, and offline consumption footprint.

Rooting from network science, the relation network model and singular value decomposition are integrated to infer different subscriber subgroups. Employing the results of network inference, the paper proposed a network-aware credit scoring system to predict the continuous credit scores by implementing several state-of-art techniques, i.e. multivariate linear regression, random forest regression, support vector regression, multilayer perceptron, and a deep learning algorithm. The authors use a data set consisting of 926 users of a Chinese major telecom operator within one month of 2018 to verify the proposed approach.

The distribution of telecom subscriber relation network follows a power-law function instead of the Gaussian function previously thought. This network-aware inference divides the subscriber population into a connected subgroup and a discrete subgroup. Besides, the findings demonstrate that the network-aware decision support system achieves better and more accurate prediction performance. In particular, the results show that our approach considering stochastic equivalence reveals that the forecasting error of the connected-subgroup model is significantly reduced by 7.89–25.64% as compared to the benchmark. Deep learning performs the best which might indicate that a non-linear relationship exists between telecom subscribers' credit scores and their multi-channel behaviours.

This paper contributes to the existing literature on business intelligence analytics and continuous credit scoring by incorporating latent information of the relation network and external information from multi-source data (e.g. online app usage and offline consumption footprint). Also, the authors have proposed a power-law distribution-based network-aware decision support system to reinforce the prediction performance of individual telecom subscribers' credit scoring for the telecom marketing domain.

The purpose of this paper is to investigate whether responsible purchasing (relational commitment and supplier evaluation) and responsible supply (supplier firm information sharing and supplier performance) affect the two factors of supply chain responsiveness including process efficiency and customer knowledge management capability, which, in turn, affect other three factors of supply chain responsiveness, such as dyadic quality performance, innovation capability and buyer‒supplier relationship improvement.

This study used questionnaire survey and statistical analytical methods. Employing path analysis, this study tested hypothesized relationships using data collected from manufacturers.

The findings of this study support the theorized links. Responsible purchasing and supply enhance supply chain responsiveness, which is reflected through process efficiency, customer knowledge management capability, dyadic quality performance, innovation capability and buyer‒supplier relationship improvement.

Grounded in the goal interdependence theory, this study investigates the effects of responsible purchasing and supply on supply chain responsiveness in the context of Chinese manufacturers. This study offers managerial implications and theoretical contribution.

This study aims to examine the impact of supplier relationship quality on curtailing opportunism and promoting cooperation between the exchange partners. It also investigates the contingent impact of contract specificity on the relationships and assesses performance implications of relationship quality for both buyer and its major supplier in the exchange.

Confirmatory factor analysis and path analysis were performed based on data collected from manufacturers in a survey. The hypotheses were tested using path analysis.

The findings of this study indicate a pivotal role of supplier relationship quality in suppressing opportunism and enhancing cooperation between exchange parties, which lead to dyadic performance. Furthermore, the effect of supplier relationship quality is strengthened by contract specificity.

This study adds value to the existing streams of studies in several ways. First, informed by the nexus of relational capital theory and transaction cost economics, the authors emphasize the pivotal role of relationship quality in curtailing opportunism and fostering cooperation and the moderating effect of contract specificity on the above linkages. Second, this study provides empirical evidence of the mechanism of the effect of contract specificity on opportunism and cooperation.

The purpose of this paper is to seek an approach to study decision making and optimization analyzing of enterprises with multi‐factors.

In this paper, a new grey decision dynamic model was set up; it integrates with modified GM model, the transfer function and response characteristic of cybernetics, and other knowledge. The building steps of this integrated model and its application method in a certain enterprise were presented.

Until recently, there have been many references studying grey decision or grey relational analysis of factors, but it was found that dynamic affecting of multi‐factors for enterprise production and their affecting levels were not studied synthetically in these references, and by this new dynamic model, these useful conclusions can be gotten.

The built time response equation and dynamic model in this paper can be only used for whole regularity analysis and not suited to daily one‐to‐one analyzing; otherwise the error of the reductive values must be tested.

This new grey decision dynamic model can be used widely in decision making and optimization analyzing of enterprises with multi‐factors. Practical applying results show that the proposed method can instruct effectively actual production.

This paper offers a new grey decision dynamic model that can be used in decision making and optimization analyzing of enterprises with multi‐factors. By applying this new dynamic model in practice, some useful conclusions are drawn; some dynamic factors affecting production capacity of enterprises and their affecting levels can be found.

The purpose of this paper is to investigate whether audit committee characteristics, in particular audit committee size, audit committee activity and audit committee gender diversity, are associated with financial performance in Egyptian banks. The second purpose of this paper is to explore the moderating role of board gender diversity on the relationship between audit committee characteristics and financial performance.

A multiple regression analysis is used to estimate the moderating role of board gender diversity on the relationship between audit committee characteristics and financial performance of a sample of Egyptian banks during the period between 2018 and 2022.

The results indicate that audit committee size has a negative and insignificant effect impact on return on assets (ROA) and return on equity (ROE), respectively. The results also indicate that the audit committee gender diversity has a significant positive impact on ROA and ROE, respectively. Regarding audit committee activity, the number of board meetings has a negative and insignificant effect on ROA and ROE, respectively. Regarding gender diversity as a moderating variable, in general there is a positive effect of gender diversity on the relationship between audit committee characteristics and financial performance.

The study was limited to 20 banks in one country, but it sets the tone for future empirical research on this subject matter. The study also relied on one moderating variable, which is board gender diversity. This study provides an avenue for future research in the area of corporate governance and financial performance in other emerging countries, especially other African countries.

This study provides useful insights for managers and policymakers to better understand which audit committee characteristics can best encourage a company to improve financial performance. Furthermore, regulators should ensure that banks strictly adhere to corporate governance principles to build a strong banking industry capable of achieving economic development.

Banks will benefit equally from valuable qualities across demographic groupings in society by having females on the audit committee and appropriate audit committee meetings. Additionally, if audit committee members are correctly selected, banks with more females in audit committee and suitable audit committee meetings can successfully contribute to strengthening financial performance and social welfare of diverse segments of society. A culture of good banking governance must emerge to improve bank financial stability and, as a result, greater stability and economic growth.

To the best of the authors’ knowledge, the study is, perhaps, the first to examine the moderating role of board gender diversity on the relationship between audit committee characteristics and financial performance in Egyptian banks. This study adds to the literature by investigating such an issue in a developing economy that operates in a different context than those in developed countries.