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Research in the field of corporate social responsibility (CSR) has grown exponentially in the last few decades. Nevertheless, significant debate remains about the relationship between CSR performance and corporate financial performance (CFP). This is particularly true for the case of Chinese state-owned enterprises (SOEs). The purpose of the current study is to empirically test the relationship between CSR and CFP. We use data for 66 Chinese SOEs listed on the Shanghai and Shenzhen stock exchanges. The results are interesting in that they are not consistent with similar studies using US and other Western market data. We find a significant negative relationship between CSR performance and CFP. The results are discussed in light of the preferential government treatment afforded to Chinese SOEs, and social welfare requirements imposed on such entities. Implications for Chinese policy-makers are discussed.

The purpose of the work is to verify the offered hypothesis and to evaluate the potential of the modern Russian entrepreneurship in economy’s informatization.

A specially developed proprietary method of evaluation of entrepreneurship’s potential in economy’s informatization and the level of its opening is used, which is created on the basis of the classical method of effectiveness evaluation. The information and analytical basis of studying the entrepreneurship’s potential in economy’s informatization is the materials of the report “The Global Information Technology Report 2016. Innovating in the Digital Economy”, prepared and presented by INSEAD, JOHNSON (Cornell University) and World Economic Forum. The offered proprietary method envisages evaluation of entrepreneurship’s potential in economy’s informatization and the level of its opening on the basis of statistical data according to four criteria: business and innovational environment, business ICT infrastructure, usage of new ICT in business, and economic consequences of using new ICT in business.

The author evaluates the entrepreneurship’s potential in economy’s informatization in modern Russia in 2016 and concludes that entrepreneurship’s potential in modern Russia is rather high, due to which high value of the index of information economy’s formation in Russia is achieved. That is, large entrepreneurship’s potential in economy’s informatization should be viewed as a precondition for information economy’s formation in modern Russia.

The author proves that entrepreneurship’s potential in economy’s informatization is an important component of the process of information economy’s formation in the economic system and can stimulate successful and quick implementation of this process or, quite on the contrary, slow down it rated, based on which it should be paid more attention.

The aim of this chapter is to investigate the relationship between ethics, risks of compliance failure and strategic value of global responsibility for BRICS companies. The first part of the chapter adopts a theoretical approach: it introduces and analyzes the key role of compliance risk management for sustainable and successful development of companies. The second part of the chapter uses an empirical approach, based on the case study method. The chapter focuses on the BRICS. The chapter demonstrates that mere formal compliance with laws, recommendations, and internal codes is not sufficient for companies that want to be responsible and attract stakeholders’ consent and resources. A shared background of ethical principles is required for a proper understanding of the rules, in order to prevent the risk of compliance failure and limit the global risk exposure of a company. Due to the business perspective adopted in the research, this chapter leaves out the sociological aspects regarding how to create, spread, and strengthen the culture of compliance within a company. The chapter encourages companies to connect ethical principles and compliance with the rules. Indeed, a lack of ethics in business operations, obscured by formal compliance, often results in indirect negative impacts on stakeholder relationships, so it is only a futile attempt to act responsibly. The originality of the chapter consists in suggesting the adoption of a responsibility-oriented approach for compliance risk management.

Accelerating the green economy’s transition is a practical means of lowering emissions and conserving energy, and its effects on the greenhouse effect merit careful consideration. Growing environmental deterioration has compelled decision-makers to prioritize sustainability alongside economic growth. Policymakers and the business community are interested in green investment (GRE), but its effects on social and environmental sustainability are still unknown. Based on this, this study aims at looking into the time-frequency interplay between GRE and carbon dioxide emissions and assessing the impacts of economic growth, financial globalization and fossil fuel energy (FUE) usage on this nexus in Vietnam across different time and frequency domains.

The authors employ continuous wavelets, cross wavelet transforms, wavelet coherence, Rua’s wavelet correlation and wavelet-based Granger causality tests to capture how the domestic variance and covariance of two-time series co-vary as well as the co-movement interdependence between two variables in the time-frequency domain.

The results shed new light on the fact that GRE will increase the levels of environmental quality in Vietnam in the short and medium run and there is a bidirectional causality between the two indicators across different time and frequencies. In addition, when the authors observe the effect of economic growth, financial globalization and fossil fuel energy consumption on this interplay, the findings suggest that, in different time and frequencies, any joined positive change in these indicators will move the CO₂ emissions-GRE nexus.

Policymakers and governments can greatly benefit from this topic by utilizing the function of economic institutions in capital control of GRE and CO₂ emissions and modifying the impact of GRE on the greenhouse effect by accelerating the green growth of economic industries.

The current work contributes to the current literature on GRE and CO₂ emissions in several dimensions: (1) considering the sustainable development in Vietnam, by employing a new single-country dataset of GRE index, this paper aims to contribute to the growing body of research on the factors that influence CO₂ emissions, as well as to provide a detailed explanation for the relationship between GRE and CO₂ emissions; (2) localized oscillatory components in the time-domain region have been used to evaluate the interplay between GRE and CO₂ emission in the frequency domain, overcoming the limitations of the fundamental time-series analysis; (3) the mediation role of economic growth, financial globalization and FUE in affecting the GRE-CO₂ relationship is empirically explored in the study.

This theoretical paper aims to illustrate that tourism economies differ substantially with respect to market conditions, such as demand elasticity and industrial structure, which have a clear effect on the distribution of the tax burden.

This paper has used partial and general equilibrium frameworks to study the effects of a production tax on the overall welfare of a tourism economy. The two frameworks are linked via the relative price of tourism based on the assumption that it is influenced by a typical tourism economy that is able to enjoy a certain degree of market power in its tourism exports.

We have discovered that the division of the tax burden is significantly affected by local market conditions, such as demand elasticity and industrial structure. Generally, tourism economies differ with respect to those characteristics, which can be crucial in determining the success of a tourism tax. This line of research has enabled us to determine why different tourism tax rates have been adopted in various markets and to provide a justification for government selection of a particular tax in a given market. The rational criterion for tax choices is to maximize the likelihood of enhancing welfare or to minimize the risk of reducing efficiency.

This paper argues that those conditions are crucial to determining the success or failure of a tourism tax and may thus be able to explain why each tourism economy has adopted a different tax.

Corporate social responsibility (CSR) is presented as a series of evolving stages characterized by shifting attitudes and behaviors by business firms, their stakeholders, and public policies. Five major phases of CSR are described: CSR-1: Corporate Social Trusteeship; CSR-2: Corporate Social Responsiveness; CSR-3 Corporate-Business Ethics; CSR-4: Corporate Global Citizenship; and CSR-5: Toward a Millennial Future. Accompanying the first four CSR phases are the principal drivers and policy instruments that have activated those four CSR stages. An evolving set of generational values and attitudes about CSR — from Silent Generation to Baby Boomers to Gen-Xers to today’s Millennials — reveal the continuing development and relevance of — and the major questions and challenges about — Corporate Social Responsibility in the Millennial future.

This paper aims to investigate the gear performance during meshing. The effects of line load, velocity and rough surfaces (kurtosis and skewness) on the lubrication characteristics and fatigue life of gears were analyzed.

In the mixed thermoelastohydrodynamic lubrication (TEHL) model, the distributions of pressure and film thickness are predicted using the Reynolds equation. The elastic–plastic rough contact model is used to calculate the contact force and area. To predict the fatigue life of the gears, the Dang–Van fatigue model is used to obtain the fatigue parameters under different line loads, velocities and rough surfaces.

The skewness of rough surfaces has a more significant effect on gear performance. In addition, according to fatigue parameters, it is found that when the load is too large, it leads to an increase in the probability of gear failure.

In this paper, a mixed TEHL model considering the effects of kurtosis and skewness is developed for the line contact to predict the mixed lubrication problem during gear meshing.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2024-0356/

This paper aims to focus on the rise and decline of the Qing dynasty in Chinese history, and tries to explain the evolutionary phenomenon that when a dynasty became strong, it replaced the former established but deteriorating one, and then at the end of its development, it disappeared eventually by using interest models developed herein.

Systemic interest models are introduced to the study of Chinese history quantitatively. First, by briefly going over the history of Qing, the reasons for its rise and fall are analyzed qualitatively. Second, the concept of interest is generalized under some proper assumptions so that several interest models are established. At the end, intriguing conclusions are drawn by analyzing the numerical solutions of these interest models.

Comparing this paper's results of numerical solutions with the Qing's history, we can see that the stability of a country was essentially an external appearance of the conflict of interests between the ruling and ruled classes. Usually, the eventual social turbulence happened when the balance of interests deteriorated and was tilted excessively to one social class, and ended when the imbalance reached another state of equilibrium. Moreover, the stability of a country always appeared to be a cycle of “turbulence→peace→turbulence→ċ” which is similar to the evolutionary characteristics of general systems indicated by the systemic yoyo model. Furthermore, the cycle can be found in all the feudal dynasties throughout Chinese history.

The interest models presented in this article can be applied to the study of other social problems, such as corporation governance, the analysis of the national economic relationships, and others.

The concept of interest is generalized in this paper, and the relevant interest models provide good conclusions in our analysis of social and historical phenomena.

The purpose of this paper is to examine, from management perspective, the nature of common sense, its application in decision‐making, and possibility of developing common sense more effectively.

To take typical dictionary definitions of common sense, understand, from management perspective, the different aspects of the nature of common sense, analyze how these properties affect different applications of common sense in decision making process. To cite available literature to support or explain points made, and make a parallel comparison to intuition and decision making where appropriate because of their similarity to certain extent.

The paper provides how to understand properties of common sense from managerial perspective, analyzes its value in aiding decision making, explains how mangers utilize common sense of target group or employees for decision making and creativity, and proposes some points for boosting development of common sense.

The paper points out possible different utilization of common sense for decision making. Common sense can be used for innovation. An effective strategy for innovation is not to launch sounds‐big innovation programs, but to respect and trust your employees to allow them freedom of expression of common sense and uncommon sense.

The paper suggests that common sense may involve tacit knowledge, often is a mix of personal experience and social communication, often comprises hard part and soft part, and can be used for creativity. The paper explains why there exist opposite opinions on common sense approach. These have not been seen in existing literature.

The purpose of this paper is to study the problem of clothing uniform assignment (CUA) and propose an immune co‐evolutionary algorithm to search optimal assignments of uniform garments to employees.

Multi‐size fitting measures are proposed based on multi‐attribute decision making. An immune co‐evolutionary algorithm incorporating immune inspired mechanisms is proposed to search optimal assignments.

The experimental results show promising performance. The model and the algorithm are aiming at a valuable problem and can be incorporated into the information systems for large‐scale industrial companies.

Uniform assignment problem is modeled with garment size fitting constraints. Multi‐size fitting measures are proposed based on multi‐attribute decision making and an immune co‐evolutionary algorithm is proposed to search optimal assignments.