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Logistics capability is an important enabler of supply chain resilience (SCR). However, few studies have analyzed the underlying influence mechanism of logistics capability on SCR in extreme conditions, such as those of the COVID-19 pandemic. The purpose of this study is to increase understanding of the role of logistics capabilities in constituting a resilient supply chain.

Drawing upon the dynamic capability perspective and contingency theory, the proposed conceptual framework aims to demonstrate the relationship between a firm's logistics capabilities and SCR. Furthermore, the conceptual framework is illustrated by empirical evidence from a case study of a Chinese manufacturing company, which focuses on extracting practical lessons from the COVID-19 pandemic.

The findings suggest that digitalization, innovativeness, and modularization comprise potential mediating pathways for firm logistics capability to affect SCR and government policies, risk management culture, trust and cooperation moderate the effect positively. The potential associations are identified and elucidated by detecting the corresponding strategies and practices of a Chinese manufacturer that performed well amid the COVID-19 pandemic.

This study provides specific guidelines for logistics managers to enhance SCR during the COVID-19 pandemic. Seeing SCR as a dynamic capability, the framework is also instructive for manufacturers, supply chain members, and policymakers to achieve the sustained competitive advantage of supply chains.

The findings expand the understanding of enhancing SCR in a logistics approach. The empirical validation of propositions in the case study reveals a new vista for research on SCR.

The purpose of this paper is to analyze the impact of the off-office audit of natural resource assets on the prevention and control of water pollution against a background of big data using a differences-in-differences model.

This study constructs a differences-in-differences model to evaluate the policy effects of off-office audit based on panel data from 11 cities in Anhui Province, China, from 2011 to 2017, and analyzes the dynamic effect of the audit and intermediary effect of industrial structure.

The implementation of the audit system can effectively reduce water pollution. Dynamic effect analysis showed that the audit policy can not only improve the quality of water resources but can also have a cumulative effect over time. That is, the prevention and control effect on water pollution is getting stronger and stronger. The results of the robustness test verified the effectiveness of water pollution prevention and control. However, the results of the influence mechanism analysis showed that the mediating effect of the industrial structure was not obvious in the short term.

These findings shed light on the effect of the off-office audit of natural resource assets on the prevention and control of water pollution, and provide a theoretical basis for the formulation of relevant environmental policies. Furthermore, these findings show that the implementation of the audit system can effectively reduce water pollution, which has practical significance for the sustainable development of China's economy against the background of big data.

This study quantitatively analyzes the policy effect of off-office auditing from the perspective of water resources based on a big data background, which differs from the existing research that mainly focuses on basic theoretical analysis.

This study aims to replace petroleum-based lubricating oils with sustainable biomaterials, addressing issues associated with existing alternatives, such as poor performance, high cost and limited availability.

The transformation of agricultural waste cardanol, a nonedible vegetable oil that is abundantly available, into green cardanyl acetate (CA) biolubricating ester oil. The potential of CA as a base stock for lubricants is validated by assessing its lubrication performance.

CA exhibited a higher viscosity index, flash point and thermal stability than commercially available mineral-based (CTL3, coal-to-liquid) and synthetic (PAO2, poly-alpha-olefin) lubricant base stocks. Moreover, CA exhibits excellent anticorrosivity properties as well as PAO2 and CTL3. The tribological properties of CA were evaluated, and the results show that CA exhibits a smaller average wear scar diameter (WSD) of 0.54 mm than that of PAO2 (0.85 mm) and CTL3 (0.90 mm). In extreme pressure tests, acylated CA demonstrated the highest last nonseizure load capacity at 510 N, outperforming commercial CTL3 (491 N) and PAO2 (412 N). All results demonstrate that CA displays an excellent series of base stock properties.

The novelty of this work lies in the utilization of renewable agricultural waste, cashew nut shell liquid, to produce a high-value biolubricant as an alternative to commercial fossil-based lubricants. The renewable nature, low cost, and large-scale availability of raw materials pave a new path for the production and application of biolubricants, showcasing the immense potential of converting agricultural waste into high-value products.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2024-0064/

The purpose of this paper is to compare women entrepreneurship in China and Vietnam by examining the motivations, success factors and problems related to establishing women-owned businesses.

The sample in this study consisted of 170 women entrepreneurs in Vietnam and 180 women entrepreneurs in China. The authors used the survey instrument developed by H.M. Chu (Chu and Katsioloudes 2001), which has been adopted in a number of small business studies since 2002. To determine whether there is a significant difference between the two countries regarding each factor of motivations, success factors and problems, the authors use the non-parametric Wilcoxon rank-sum test.

Women entrepreneurs are motived to earn more income in both China and Vietnam. Vietnamese businesswomen value intrinsic rewards such as gaining personal satisfaction and freedom. They also take business ownership as a way to reduce work–family conflict. Demonstrating the ability and gaining public recognition play a more important role when Chinese women entrepreneurs decide to establish their businesses. Both Chinese and Vietnamese women agree that good management skills are essential to achieve their goals. Women entrepreneurs in both countries share similar challenges, such as the inability to recruit and retain employees, severe competition, a weak economy and limited access to financial capital.

Given the nature of transitional economies in both countries, the government is required to improve the regulatory environment for protecting private sector employment and private property rights. Policies such as subsidies and tax incentives may assist the development of women enterprises. To support the sustainable growth of women businesses, it is suggested that the government should design effective programs that direct women entrepreneurs to move into high-growth or high-technology sectors. Training programs are also required to improve the knowledge and skills of women entrepreneurs. Making capital accessible to women is also important to stimulate entrepreneurial growth. As a further stimulus, governments should coordinate with financial institutions to provide low-cost loans or even venture capital to facilitate this process.

This study is among one of the first attempts to compare women entrepreneurship in the two transitional economies of Vietnam and China. It provides insight into motivations, success factors and problems that women entrepreneurs experienced by examining small business owners in Vietnam and China.

This study aims to examine the effect of education for sustainable development (ESD) on students’ sustainability behaviors in Chinese higher education institutions (HEIs), aiming to identify the educational enhancement pathways and influencing factors based on students’ perspectives.

Data were collected from students in Chinese HEIs using an online survey. Structural equation modeling is used to analyze the data and verify the pathways for enhancing students’ sustainability behaviors through ESD in HEIs. The effects of students’ demographic characteristics, majors, and other factors are also examined.

ESD in Chinese HEIs promotes students’ sustainability cognition and behaviors. Students’ sustainability cognition plays a mediating role and has a positive effect on enhancing sustainability behaviors through education. In the influence pathway, the behavioral attitudes of students majoring in humanities and social sciences with high monthly expenditures are more significant for promoting sustainable social participation. Meanwhile, gender and educational level are not significant moderating factors.

Factors such as cognition are subjective and difficult to measure. The sample’s representativeness warrants further consideration, and there is a lack of time-series change data. Nevertheless, this attempt to examine the mechanism of ESD from students’ perspectives can help assess ESD in HEIs more rationally and make the improvement paths more efficient.

This study offers evidence to support ESD-related decision-making in Chinese HEIs. It is suggested that HEIs continue to strengthen ESD, focusing on influencing behavior by enhancing students’ sustainability cognition. Pedagogical approaches should be adjusted based on students’ spending habits and majors to maximize educational outcomes and support China’s sustainability ambitions.

Based on the perspective of Chinese HEI students, this study makes observations about ESD in Chinese HEIs, focuses on the interaction between the sustainability cognition and behaviors of students, and expands the discussion of pathways for HEIs to promote students’ sustainability cognition and behaviors.

Owing to the limitations of traditional infectious disease dynamic systems in accurately encapsulating the nuances of China’s dynamic epidemic prevention policies and considering the varying sensitivity of local governments to the unfolding of public health emergencies (PHEs), this paper introduces a novel infectious disease dynamic system.

This system, rooted in the distinct characteristics of infectious diseases and nuanced prevention and control measures, leverages a learning model for enhanced precision. It intricately incorporates factors such as the infectivity in sealed and controlled areas and the role of asymptomatic patients, thereby refining the dynamics of isolation, sealing, control and the transition from asymptomatic to confirmed cases. Employing the Markov Chain Monte Carlo (MCMC) parameter estimation approach significantly augments the accuracy in pinpointing the valid parameters of disease spread. Empirical analysis was meticulously carried out, using data from the Shanghai epidemic from 1 Mar 2022 to 1 Jul 2022.

This analysis not only illuminates the profound impact of control efforts on the trajectory of the epidemic but also underscores the pivotal role of social distancing in curbing the rapid transmission of infectious diseases. Furthermore, it reveals that an accelerated detection rate during the swift spread and peak of the epidemic paradoxically leads to a surge in confirmed cases and a consequent strain on medical resources, thereby impeding the pace of medical intervention.

A stage-wise dissection of the Shanghai epidemic and comparative analyses against the evolution profiles in ASEAN countries elucidates the five stages of PHE risk evolution in alignment with the crisis lifecycle theory. These stages encompass hidden transmission, multi-point dissemination, multi-chain parallelism, rapid spread, fluctuation rebound and multi-community spread, each presenting unique challenges and dynamics in the control and management of the epidemic.

In China, engineering insurance has been questioned as not being beneficial as expected. This paper seeks to further understand how China's engineering insurance industry functions and to provide a macro perspective explanation for engineering insurance's underdevelopment.

Three industrial organization hypotheses were extended to the engineering insurance context: structure conduct performance (SCP), relative market power (RMP) and efficiency structure (ES) hypotheses. This paper employed the Generalized Method of Moments (GMM) and Data Envelopment Analysis (DEA) bootstrap to test the hypotheses using panel data from 2008 to 2017.

The results suggest that the SCP paradigm is validated in China's engineering insurance market, indicating a concentrated market where the welfare of consumers (e.g. owners, contractors and designers) may be eroded. Several factors are identified to have significant impacts on engineering insurers' performance, such as the investment return, percentage of engineering business, the ratio of outstanding claims, the number of large contractors, market rivalry and entry barriers.

Despite the sheer size of China's construction industry and the urgent need to improve risk management, the insurance industry that serves construction firms engineering insurance is underdeveloped. Engineering insurance is yet to be understood from a macro perspective, which may reveal the underlying reasons for engineering insurance's underdevelopment. The industrial organization theories provided a theoretical framework to test the functioning of this specific industry. The disaggregated data (engineering line specific) is employed to ensure effective regulation and policymaking.

With the continuous change of research contents and methods of intelligence science, its integration with other disciplines is also deepening. The purpose of this paper is to further explore the interdisciplinary research characteristics of intelligence science in theoretical depth and application value.

This paper summarizes and explores in two aspects. The first is a large number of literature review, mainly combined with the historical characteristics of the development of intelligence science researches in China and international comparison. The second is to refine the discipline construction ideas suitable for the development of contemporary intelligence science.

From the perspective of the historical development of discipline relevance, the development characteristics and positioning of intelligence science in China are introduced, with the comparison of many disciplines including information technology, library science, information science, data science, management science and other disciplines. In order to better meet the practical needs of intelligence service in the new era, this paper mainly analyzes the construction method of intelligence science research system and the relocation of intelligence science research content.

This paper summarizes the historical characteristics and international comparison of the development of intelligence science in China. It proposes the development characteristics and orientation of intelligence science in China from the perspective of historical development of discipline relevance. It also proposes the discipline construction ideas suitable for the development of contemporary intelligence science.

Corrosion of carbon steel and copper is a troublesome problem in low hardness cooling water systems. A new kind of water stabiliser containing hydroxy phosphonocarboxylic acid, zinc salts and molybdate has been developed. Its performance has been proved by means of weight loss tests and a static state scale‐inhibiting test method. The mechanism was also studied using polarisation tests, scanning electron microscope examination and XPS analysis. The test results showed that the corrosion rate of carbon steel and copper could be reduced to 0.0136 and 0.0010 mm/a, respectively. A compact film containing P, Mo and Zn was formed on the surface of carbon steel, by means of which the steel was protected.