Yufu Xu, Kequn Sun, Quan Zheng, Lulu Yao, Yinghui Dong and Ruhong Song
This paper aims to offeri novel nano-additives polymer microgels to precisely improve the lubrication properties of titanium alloy under different temperatures.
Abstract
Purpose
This paper aims to offeri novel nano-additives polymer microgels to precisely improve the lubrication properties of titanium alloy under different temperatures.
Design/methodology/approach
The surfactant-free emulsion polymerization method was used to prepare Poly(N-isoprolylacrylamide) (PNIPAM) microgels. A ball-on-disk tribometer was applied to investigated the temperature-sensitive lubrication behavior of PNIPAM microgels.
Findings
The results show that the as-prepared microgels are ball-like nanoparticles with the size of 50–900 nm. In addition, potassium persulfate as initiator, complete mixing technic and high sodium dodecyl sulfate (SDS) concentration contribute to the formation of microgels with small size. The tribosystem shows a lower friction coefficient with the lubrication of PNIPAM microgels as aqueous solution additives when the temperature exceeding the critical temperature.
Originality/value
This work reports the temperature-sensitive lubrication of PNIPAM microgels. The critical temperature of PNIPAM microgels could be regulated by the addition of SDS in the solutions. This offers an effective and facile strategy for regulation of the critical temperature of smart microgels, which is helpful for the smart lubrication in the future.
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Daoyi Wu, Yufu Xu, Lulu Yao, Tao You and Xianguo Hu
This paper aims to study the upgradation of the lubricating performance of the renewable base oil , and to study the tribological behavior of graphene oxide (GO) sheets used as…
Abstract
Purpose
This paper aims to study the upgradation of the lubricating performance of the renewable base oil , and to study the tribological behavior of graphene oxide (GO) sheets used as lubricating additives in bio-oil for iron/steel contact.
Design/methodology/approach
A multifunctional end-face tribometer was used to characterize the friction coefficient and wear loss of the tribosystem under different lubricants.
Findings
The experimental results show that GO sheets with small size benefit lubricating effects and the optimal concentration of GO sheets in bio-oil is 0.4-0.6 per cent, which can form a complete lubricating film on the frictional interfaces and obtain a low friction coefficient and wear loss. Higher concentration of GO sheets can result in a significant aggregation of the sheets, reducing the content of the lubricating components in the bio-oil, which results in the increase in friction and wear; at this stage, the main wear pattern was ascribed to adhesive wear.
Practical implications
These results show a promising prospect of improving the tribological performance of renewable base oil with the introduction of GO sheets as additives.
Originality/value
No literature has covered the tribological behaviour of GO sheets in bio-oil. This study contributes to accelerating the application of bio-oil.
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Yanhua Xie, Yimin Yang and Lulu Yang
By exploring the impact of digital knowledge resources (DKR) on the carbon emission intensity of the pig industry (PCEI), this study aims to reveal the role of DKR in reducing…
Abstract
Purpose
By exploring the impact of digital knowledge resources (DKR) on the carbon emission intensity of the pig industry (PCEI), this study aims to reveal the role of DKR in reducing PCEI.
Design/methodology/approach
Based on provincial panel data in China from 2011 to 2021, this study uses the entropy and Intergovernmental Panel on Climate Change coefficient methods to calculate the evaluation index system of DKR and PCEI, respectively. Empirical analysis using a panel fixed-effects model examines the influence of DKR on PCEI and its underlying mechanisms.
Findings
DKR can significantly reduce PCEI. This conclusion still holds even after undergoing endogeneity treatment and a series of robustness tests. Mechanism test results indicate that DKR can operate indirectly through the mediation mechanism of rural human capital (RHC) and pig breeding technology innovation (PTI), while environmental regulation intensity (ERI) plays a positive moderating role in the relationship between DKR and PCEI. The magnitude of the impact of DKR on PCEI depends on ERI. Further studies found that the impact of DKR on PCEI has obvious heterogeneity characteristics, and the promotion effect is more obvious in regions with good integration degrees and high development potential.
Practical implications
This paper divides DKR into three dimensions: digital technology knowledge (DTK), digital management knowledge (DMK) and digital application knowledge (DAK), providing a new framework for research and enriching the understanding of the relationship between DKR and PCEI. Furthermore, the research results reveal the application potential of DKR in the pig industry, particularly in terms of resource allocation efficiency. This is of great significance for promoting low-carbon development in the pig industry and provides insights for the low-carbon transformation of other industries. In addition, the study emphasizes the moderating effect of ERI on the mechanism of carbon reduction in the pig industry through DKR. This offers a new perspective for understanding the relationship between knowledge management and environmental governance, providing a reference basis for policy formulation in related fields.
Originality/value
This paper further enriches the role of DKR in the livestock industry. Integrating DKR with traditional industries promotes knowledge innovation, information distribution and utilization and scientific decision-making. This has significant value in promoting the development and application of carbon reduction technologies, enhancing industrial competitive advantages, and other aspects.
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Yujia Ge, Caiyun Cui, Chunqing Zhang, Yongjian Ke and Yong Liu
To test a social-psychological model of public acceptance of highway infrastructure projects in the Chinese architecture/engineering/construction industry.
Abstract
Purpose
To test a social-psychological model of public acceptance of highway infrastructure projects in the Chinese architecture/engineering/construction industry.
Design/methodology/approach
Through a comprehensive literature review, we established a social-psychological model of public acceptance related to benefit perception, risk perception and public trust. We empirically validated our model by using structural equation model analysis based on a questionnaire survey in the S35 Yongjin Highway Infrastructure Project in Yunnan Province, China.
Findings
Benefit, trust and risk perception had a significant influence on local residents' public acceptance of highway infrastructure projects; benefit perception and trust perception had a greater influence than risk perception. Public acceptance among local male residents over the age of 35 or those with higher education levels was more likely to be determined by the relative dominance of risk and benefit perceived.
Research limitations/implications
This study contributes empirical evidence to the theoretical literature related to locally unwanted land use (LULU) siting and stakeholders in the field of project management from the public perspective. This study also suggests valuable practical implications to authorities, project managers and the public in decision-making and risk communication.
Originality/value
Although previous studies addressed factors affecting public acceptance towards potentially hazardous facilities, understanding of the implications of these social-psychological factors and their effects are still far from sufficient. This study bridges this gap by exploring the determinants of public acceptance towards highway infrastructure projects based on a selected case in China.
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Yimin Yang, Yuefeng Su, Lulu Yang and Xiongwang Zeng
This paper aims to establish a systematic cognition to alleviate the supply–demand contradiction in rural financial markets from an integrated perspective of knowledge management…
Abstract
Purpose
This paper aims to establish a systematic cognition to alleviate the supply–demand contradiction in rural financial markets from an integrated perspective of knowledge management and proposes the concept of rural financial knowledge ecosystem (RFKE) to encourage multifaceted solutions.
Design/methodology/approach
The authors qualitatively describe the process that the knowledge management dilemmas cause the supply–demand contradiction in the rural finance and further summarize a systematic methodology from three dimensions: the knowledge subject, the knowledge environment and the knowledge ecology.
Findings
The authors list four types of knowledge management dilemmas leading to the supply–demand contradiction in the rural finance, i.e. the weak knowledge sharing, the poor knowledge flow, the slow knowledge updating and the imperfect knowledge environment. Meanwhile, the RFKE model consisting of the ecological subject, the ecological environment and the ecological regulation is also presented.
Research limitations/implications
The role of knowledge management in improving the allocation of financial resources to various rural financial market participants (government, rural financial institutions, farmers, agricultural enterprises, etc.).
Originality/value
The authors creatively give the RFKE model, which complements and enriches the theory of knowledge management. Meanwhile, relevant management practices are urgently needed under the macro circumstance of the COVID-19 pandemic and the rural revitalization in China.
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Abstract
Purpose
This study aims to provide supplements to the research on digital human avatar (DHA) and suggestions for brands to use DHA appropriately to build brand fans effect.
Design/methodology/approach
On the basis of integrating Avatar theory and Stimulus-organism-response theory, this study obtains data from 733 Chinese respondents aged 18–25 and uses regression analysis and bootstrap analysis to verify the relationships among the variables: DHA characteristics (form realism, behavioral realism and brand alignment) as the independent variables, brand fans effect as the dependent variable, consumer positive emotion as the mediating variable and product type (experience vs search) as the moderating variable.
Findings
The results show that DHA characteristics positively influence brand fans effect and consumer positive emotion, consumer positive emotion positively influences brand fans effect and consumer positive emotion plays a mediating role. Meanwhile, for experience products, the impact of DHA’s form realism and behavioral realism on consumer positive emotion is higher than that of brand alignment; for search products, the impact of DHA’s brand alignment on consumer positive emotion is higher than that of form realism and behavioral realism.
Originality/value
This study enriches and expands the empirical research perspectives and conclusions in the DHA field, improves its research framework and provides suggestions for brands to appropriately use DHA to build brand fans effect.
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Jie Yang, Mingchao Chang, Jian Li, Lulu Zhou, Feng Tian and JiangJiang Zhang
Based on the social information processing theory, the purpose of this study is to propose a conceptualized moderated mediation model for testing the linkage between leader…
Abstract
Purpose
Based on the social information processing theory, the purpose of this study is to propose a conceptualized moderated mediation model for testing the linkage between leader narcissism and employees’ innovative behavior through the mediating effect of employees’ cognitive dependency and the moderating effect of environmental uncertainty between employees’ cognitive dependency and their innovative behavior.
Design/methodology/approach
In this study, multisource data from 266 employees and their supervisors in 11 large high-tech Chinese companies were collected through a field study and an online survey. The hypotheses were tested using structural equation modeling and bootstrapping.
Findings
The results of this study show that leader narcissism has a negative impact on employees’ innovative behavior and that employees’ cognitive dependency plays a mediating role between leader narcissism and employees’ innovative behavior. Cognitive dependency and environmental uncertainty play moderated mediation roles between leader narcissism and employees’ innovative behavior.
Research limitations/implications
In the future, longitudinal research and experimental methods can be used to avoid common method bias. Further studies could allow leaders to evaluate environmental uncertainty and explore the emotional path by which leader narcissism has negative effects on followers’ innovation from social information processing theory. In addition, future studies can explore cognitive dependency more deeply from the perspectives of forced obedience and active worship.
Practical implications
Organizations should warn leaders to control the dark side of narcissism and minimize environmental uncertainty to reduce barriers to innovation.
Originality/value
This study constructs the path of the effect of leader narcissism on employees’ innovation through employees’ cognitive dependency in a specific context, which enriches theoretical research on the link between leaders’ traits and employees’ innovative behavior. Along with the finding of leader narcissism’s negative effect on employees’ innovative behavior, this study explores the dark side of leader narcissism in the context of China’s high-tech firms and environmental uncertainty.
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Hemant Kumar, Saradindu Bhaduri, Abhinandan Saikia, Mohd Ali and Gautam Sharma
Agriculture innovation systems (AIS) examine the complex socio-technical and institutional aspects affecting sustainable agriculture. However, it is predominantly constrained to…
Abstract
Purpose
Agriculture innovation systems (AIS) examine the complex socio-technical and institutional aspects affecting sustainable agriculture. However, it is predominantly constrained to the formal sector activities in the high-income countries (HICs). The informal sector actors play a major role in the agricultural sector of low- and middle-income countries (LMICs), such as India, by innovating and disseminating grassroots innovations (GI). This study aims to explore the role of different GI, both by the informal and formal sectors, within an emerging AIS focused on seabuckthorn in Ladakh, India.
Design/methodology/approach
This study used a qualitative methodology, using semi-structured interviews and focused group discussions to gather data from the stakeholders involved in seabuckthorn value chain. The data was analysed using the AIS framework’sa priori themes and was validated through data triangulation with secondary sources.
Findings
This study reveals the existence of GI, by both the formal and informal sector actors, and their complex interaction within the seabuckthorn value chain. It highlights the importance of co-existence of these GI to make it a sustainable seabuckthorn AIS.
Practical implications
This study offers noteworthy perspectives for governments, policymakers and agricultural practitioners with respect to the assimilation of GI into AIS. These insights could help improve agricultural sustainability and viability, particularly in LMICs where the informal sector plays a significant role.
Originality/value
To the best of the authors’ knowledge, this study is one of the first to explore the role of GI within AIS and opens up research avenues for further inquiry in both LMICs and HICs.
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Lulu Peng, Jianchang Li, Tianhui Ren, Hua Wu and Chenyan Ma
The purpose of the research was to test whether the novel synthesized additive TEAT can be a substitution for the traditional additive ZDDP partly or entirely in mineral oil.
Abstract
Purpose
The purpose of the research was to test whether the novel synthesized additive TEAT can be a substitution for the traditional additive ZDDP partly or entirely in mineral oil.
Design/methodology/approach
The extreme pressure, antiwear (AW) and friction reducing property of TEAT was examined, the tribological property of the combination of TEAT and ZDDP was also examined. The worn surfaces of the steel balls were observed using a polarizing optical microscope and x‐ray absorption near edge structure spectroscopy.
Findings
The results show that: TEAT can enhance the PB value of the base oil obviously; TEAT shows better AW performance than ZDDP in high load and a wide range of concentration, it shows better friction‐reducing performance than ZDDP in high load and all the concentration tested; TEAT alone can provide a better AW and friction reducing property than ZDDP and the combination of TEAT and ZDDP; and the tribochemical reaction occurs between novel compound and metallic surface, generating sulfur containing layer mainly exists in the form of FeS.
Originality/value
These findings indicate that TEAT presents better tribological properties than ZDDP in a wide range of practical conditions. TEAT may be a substitute for ZDDP in the future.