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The purpose of this paper is to study the tribological properties of Cu nanoparticles (NPs) as lubricant additives in three kinds of commercially available lubricants.

A four-ball machine is used to estimate the tribological properties of Cu NPs as lubricant additives in three kinds of commercially available lubricants. Three-dimensional optical profiler and electrical contact resistance are evaluated to investigate the morphology of the worn surfaces and the influence of Cu NPs on tribofilms.

Wear tests show that the addition of Cu NPs as lubricant additives could reduce wear and increase load-carrying capacity of commercially available lubricants remarkably, indicating that Cu NPs have a good compatibility with the existing lubricant additives in commercially available lubricants.

The tribological properties of Cu NPs as lubricant additives in three kinds of commercially available lubricants were investigated in this paper. These results are reliable and can be very helpful for application of Cu NPs as lubricant additives in industry.

The purpose of this paper is to synthesize oil-soluble copper (Cu) nanoparticles modified with free phosphorus and sulfur modifier and investigate its tribological properties as environment-friendly lubricating oil additives.

To improve the anti-oxidation properties of these nanoparticles, two kinds of surface modifiers, oleic acid and oleylamine were used simultaneously. The morphology, composition, structure and thermal properties of as-synthesized Cu nanoparticles were investigated by means of transmission electron microscopy, X-ray powder diffraction, Fourier transform infrared spectrometry and differential thermal and thermogravimetric analysis. The tribological properties of as-synthesized Cu nanoparticles as an additive in liquid paraffin were evaluated with a four-ball friction and wear tester.

It has been found that an as-synthesized Cu nanoparticle has a size of 2-5 nm and can be well dispersed in organic solvents. Tribological properties evaluation results show that as-synthesized Cu nanoparticles possess excellent anti-wear properties as an additive in liquid paraffin. The reason lies in that as-synthesized surface-capped Cu nanoparticles are able to deposit on sliding steel surface and form a low-shearing-strength protective layer thereon, showing promising application as an environmentally acceptable lubricating oil additive, owing to its free phosphorus and sulfur elements characteristics.

Oil-soluble surface-modified Cu nanoparticles without phosphorus and sulfur were synthesized and its tribological properties as lubricating oil additives were also investigated in this paper. These results could be very helpful for application of Cu nanoparticles as environment-friendly lubricating oil additives.

The purpose of this paper is synthesis of oil-soluble non-spherical nanoparticles modified with free phosphorus and sulphur modifier and investigation of their tribological properties as environment-friendly lubricating oil additives.

To study the effect of morphology of nanoparticles on their tribological properties, rice-like CuO nanoparticles were synthesized. To improve the solubility of CuO nanoparticles in organic media, the in-situ surface modification method was used to synthesize these products. The morphology, composition and structure of as-synthesized CuO nanoparticles were investigated by means of transmission electron microscopy, X-ray powder diffraction, thermogravimetric analysis and Fourier transform infrared spectrometry. The tribological properties of as-synthesized CuO nanoparticles as an additive in liquid paraffin (LP) were evaluated with a four-ball tribometer. The morphology and elemental composition of worn steel ball surfaces were analysed by X-ray photoelectron spectroscopy.

It has been found that as-synthesized CuO nanoparticles with rice-like morphology have an average size of 7 and 15 nm along the shorter axle and longer axle, respectively, and can be well-dispersed in LP. Tribological properties evaluation results show that as-synthesized CuO nanoparticles as additives in LP show good friction-reducing, anti-wear and load-carrying capacities, especially under a higher normal load.

Oil-soluble rice-like CuO nanoparticles without phosphorus and sulphur were synthesized and their tribological properties as lubricating oil additives were also investigated in this paper. These results could be very helpful for application of CuO nanoparticles as environment-friendly lubricating oil additives, owing to their free phosphorus and sulphur elements characteristics.

This study aims to explore the mutual relation of corporate accidents, stock market responses, and media coverage.

This paper empirically investigated 119 listed firms' accidents during the 2005-2012 period using the methods of event study, correlation analysis, and multiple regressions.

The stock market response and media response are independent with each other in the following 30 days after accidents. Corporate accidents have significant negative effects on the stock market responses. As time goes by, the market reaction tapers off. In a mediate term period, accident onset has significantly positive effect and firm's ownership has weakly positive effect in addition to factors of asset and number of shareholders.

This paper first examines the interrelationships among accidents, media coverage, and stock market responses. It is part of the corporate social responsibility to avoid or reduce the stakeholders' nervous behaviors in times of accident. Hence, accident-stricken firms should release sufficient and transparent information to shareholders so that they can trade the share more rationally.

The papers in this issue make a significant original contribution which will result in the better understanding of Chinese corporate finance management challenges from both theoretical and practical perspective. The paper aims to discuss these issues.

The papers of this issue have a wide range of coverage related to corporate finance, such as CSR disclosure, organizational structure, earnings management, ownership structure, media impact, corporate accidents, and institution background. Those papers selected are all based on empirical researches with the original designs of their modeling, by the real and fundamental data from the latest Chinese market and enterprises.

The author believes that such in-depth analysis and discussion will enhance the understanding for both researches and practitioners on the behavior of managing corporate finance in China. Those findings will contribute to the establishment of Chinese management theories and to the building of a wide range of Chinese management practices.

Although the angle of each paper varies, they are all trying to have a deep analysis which may unveil the behavior of corporate finance decision. Some of such behaviors will be beneficial to the long-term sustainable growth of the company, while others, though, may have the negative impact on the corporate value creation.

The proposed DHHFLOWLAD is used to design a recommendation system, which aims to provide the most appropriate treatment to the patient under a double hierarchy hesitant fuzzy linguistic environment.

Based on the ordered weighted distance measure and logarithmic aggregation, we first propose a double hierarchy hesitant fuzzy linguistic ordered weighted logarithmic averaging distance (DHHFLOWLAD) measure in this paper.

A case study is presented to illustrate the practicability and efficiency of the proposed approach. The results show that the recommendation system can prioritize TCM treatment plans effectively. Moreover, it can cope with pattern recognition problems efficiently under uncertain information environments.

An expert system is proposed to combat COVID-19 that is an emerging infectious disease causing disruptions globally. Traditional Chinese medicine (TCM) has been proved to relieve symptoms, improve the cure rate, and reduce the death rate in clinical cases of COVID-19.

In this paper, a combined TODIM-BSC method with the neutrosophical approach for evaluating the performance of a private insurance company has been proposed. In other words, first, using the BSC technique, and identify the performance evaluation indicators, then evaluate the performance of the insurance company's agencies and rank them with the TODIM decision-making method.

The insurance industry has a special prestige and importance in domestic and foreign trade. The evaluation of insurance companies, in addition to informing the stakeholders, increases competition, industry dynamism, sustainable and balanced development of society. The purpose of this paper is to establish a model for evaluating the performance of private insurance companies by adopting multiple-attribute decision-making and Balanced Scorecard (BSC) with single-values neutrosophic numbers (SVNNs) which will be applied by considering a set of indicators and alternatives deliberated with different viewpoints.

A case study of the private insurance agencies in one of the provinces of Iran based on 26 criteria of agencies is used to confirm the practicality and effectiveness of the proposed model. Finally, there was a discussion about why the results are logical, which shows the strength and robustness of the proposed framework.

To the best of our knowledge, no study has been performed to evaluate the performance of a real-world problem with the integrated TODIM-BSC method in a neutrophilic environment. Therefore, this paper can be effective in bridging the existing research gap and expanding our knowledge of the discussion of evaluating the performance of organizations or companies. Besides, by using these results, the authors can help the planners of these companies as well as similar organizations in attracting satisfaction and retaining target customers.

This study investigates the effects of using social media for customer service on firms' reputation building. In addition, this study explores the role of absorptive capacity, ISO (International Organization for Standardization) 9,000 implementation and periodic training for management and employees in the relationship between social media–based customer service and firm reputation.

This study sampled 115 US-listed firms and collected secondary data from five databases as follows: Factiva, Fortune's World's Most Admired Companies (WMAC), Standard & Poor's COMPUSTAT, American Customer Satisfaction Index (ACSI) and Thomson Reuters’ Environmental, Social and Governance (ESG). This study developed a panel dataset of these 115 firms from 2007 to 2016 and conducted dynamic panel data analyses to examine the hypotheses.

This study finds that a higher number of social media channels used for customer service is associated with a higher reputation score for a firm. In addition, the positive relationship is reinforced when a firm has a high absorptive capacity level, an ISO 9000 quality management system and offers periodic training for management and employees.

To the best of our knowledge, this is the first study to investigate the relationship between social media–based customer service and firm reputation. This study also explores the boundary factors in terms of firm absorptive capacity, ISO 9000 quality management systems and training for management and employees.

The purpose of this paper is to formulate and test a theoretical model to explain inter-organizational cooperation behaviors among suppliers in automotive new product development (NPD) projects. This study aims to investigate the effects of cost and benefit factors on trust and inter-organizational cooperative behaviors among suppliers in automotive NPD projects from the perspective of social exchange theory (SET).

The structural equation modeling method is applied to test the proposed model, which is based on the analysis of survey data from 272 product managers of automotive part suppliers.

Knowledge sharing and coordination effort influence inter-organizational cooperation indirectly through trust. Specially, trust is negatively influenced by coordination effort but positively affected by knowledge sharing. Requirement uncertainty moderates the relationship between cost–benefit factors and trust differently. Specifically, requirement uncertainty increases the negative influence of coordination effort on trust but also strengthens the positive effect of knowledge sharing on trust.

This study provides a relatively comprehensive cost–benefit framework for further understanding the formation mechanism of inter-organizational cooperation among suppliers. It also contributes to SET by incorporating the contextual factor to explain the moderating effect of requirement uncertainty on the relationships between cost–benefit factors and trust in the context of automotive NPD projects.

The purpose of this study was to research how the reassembly (remanufacturing assembly) achieves a quality that is not lower than original production with different precision remanufactured parts based on the integration of mechanics, mathematics (measurement uncertainty) and management (optional classification). Remanufactured product quality is the soul of the remanufacturing project.

First, this paper studies the recycled parts features and reassembly features. Then, we build the mathematical sub-model with remanufactured parts and dimensional precision, which is proven that optional classification can effectively improve the reassembly accuracy mathematically. The optimization model of optional classification for reassembly is proposed under the constraint of a dimensional chain, and the solutions are studied based on particle swarm optimization. Finally, this method is applied in a remanufacturing enterprise and achieves good results.

The method can reduce the cost of quality loss and improve the quality of remanufactured products.

It provides a new solution and idea for reassembly with different precision remanufactured parts and promotes the healthy development of reverse logistics with a high level of customer satisfaction. This method can maximize the use of different levels of quality remanufactured parts and improve reassembly accuracy by mathematical proofs and examples.