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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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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Yimin Yang, Xuhui Deng, Zilong Wang and Lulu Yang
This paper aims to analyze the role and advantages of knowledge resources in the carbon emission reduction of the industrial chain, and how it can be used to promote the carbon…
Abstract
Purpose
This paper aims to analyze the role and advantages of knowledge resources in the carbon emission reduction of the industrial chain, and how it can be used to promote the carbon emission reduction of the industrial chain, so that the industry can better achieve the saving of energy and the reduction of emission.
Design/methodology/approach
This paper argues that the traditional resource-plundering industrial chain production method can no longer meet the needs of sustainable development of the green and low-carbon industrial chain, and builds the coupling and coordination of knowledge technology innovation drive and industrial chain carbon emission reduction mechanism, in the four dimensions of industrial chain organization, government support, internet support and staff brainstorming, put forward suggestions for knowledge resources to drive carbon emission reduction in the industrial chain.
Findings
This paper holds that the use of knowledge resource advantages can better help industrial chain enterprises to carry out technological innovation, knowledge resource digital platform construction, knowledge resource overflow and transfer, application and management of network information technology, so as to reduce carbon emission in industrial chain.
Originality/value
This paper contributes to the discussion about the high-quality implementation of the revitalization strategy of the industrial chain and also deepens research on the knowledge resource-driven carbon emission reduction of the industrial chain. Further, this paper enriches the role of knowledge resources in the industrial industry, and the theoretical results support the advantages of knowledge resource in the field of chain carbon emission reduction.
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Jie Yang, Mingchao Chang, Zhihong Chen, Lulu Zhou and Jiangjiang Zhang
Based on the intrinsic motivation theory and spiritual leadership theory, the current study proposes a chain mediation model for testing the linkage between spiritual leadership…
Abstract
Purpose
Based on the intrinsic motivation theory and spiritual leadership theory, the current study proposes a chain mediation model for testing the linkage between spiritual leadership and employees' innovative behavior through individual values and role identity.
Design/methodology/approach
In this study, 309 valid leader–subordinate matching questionnaires from 10 Internet enterprises and 21 manufacturing enterprises in China were collected through a field study. The hypotheses were tested using structural equation modeling and bootstrapping.
Findings
The results show that spiritual leadership has a positive impact on employees' innovative behavior. Uncertainty avoidance and creative role identity not only respectively play a mediating role but also play a chain mediating role in the process of spiritual leadership influencing employees' innovative behavior.
Originality/value
This study explores the influence of leadership style on employees' individual values, which has rarely been done in previous studies. Furthermore, the research explores the impact of personal values (uncertainty avoidance) on employee self-perception (creative role identity). And it enriches the relationship between spiritual leadership and employees' innovative behavior and reveals the deeper influence mechanism between them.
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Ruipeng Tong, Lulu Wang, Lanxin Cao, Boling Zhang and Xiaoyi Yang
Psychosocial factors have received increasing attention regarding significantly influencing safety in the construction industry. This research attempts to comprehensively…
Abstract
Purpose
Psychosocial factors have received increasing attention regarding significantly influencing safety in the construction industry. This research attempts to comprehensively summarize psychosocial factors related to safety performance of construction workers. In the context of coronavirus disease 2019, some typical psychosocial factors are selected to further analyze their influence mechanism of safety performance.
Design/methodology/approach
First, a literature review process was conducted to identify and summarize relevant psychosocial factors. Then, considering the impact of the epidemic, hypotheses on the relationship between six selected psychosocial factors (i.e. work stress, role ambiguity, work–family conflict, autonomy, social support and interpersonal conflict) and safety performance were proposed, and a hypothetical model was developed based on job demands-resources theory. Finally, a meta-analysis was used to examine these hypotheses and the model.
Findings
The results showed these psychosocial factors indirectly influenced workers’ safety performance by impacting on their occupational psychology condition (i.e. burnout and engagement). Work stress, role ambiguity, work–family conflict and interpersonal conflict were negatively related to safety performance by promoting burnout and affecting engagement. Autonomy and social support were positively related to safety performance by improving work engagement and reducing burnout.
Originality/value
This research is the pioneer systematically describing the overall picture of psychosocial factors related to the safety performance of construction workers. Through deeply discussed the mechanism of psychosocial factors and safety performance, it could provide a reference for the theory and application of psychosocial factors in the field of construction safety management.
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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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Lulu Ge, Zheming Yang and Wen Ji
The evolution of crowd intelligence is a mainly concerns issue in the field of crowd science. It is a kind of group behavior that is superior to the individual’s ability to…
Abstract
Purpose
The evolution of crowd intelligence is a mainly concerns issue in the field of crowd science. It is a kind of group behavior that is superior to the individual’s ability to complete tasks through the cooperation of many agents. In this study, the evolution of crowd intelligence is studied through the clustering method and the particle swarm optimization (PSO) algorithm.
Design/methodology/approach
This study proposes a crowd evolution method based on intelligence level clustering. Based on clustering, this method uses the agents’ intelligence level as the metric to cluster agents. Then, the agents evolve within the cluster on the basis of the PSO algorithm.
Findings
Two main simulation experiments are designed for the proposed method. First, agents are classified based on their intelligence level. Then, when evolving the agents, two different evolution centers are set. Besides, this paper uses different numbers of clusters to conduct experiments.
Practical implications
The experimental results show that the proposed method can effectively improve the crowd intelligence level and the cooperation ability between agents.
Originality/value
This paper proposes a crowd evolution method based on intelligence level clustering, which is based on the clustering method and the PSO algorithm to analyze the evolution.
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Abstract
Purpose
This study aims to examine the spatial spillover effect and its mechanism of the impact of China–US relations on Chinese enterprises’ OFDI.
Design/methodology/approach
This study takes the relations between China and the United States (China–US relations), one of the most important great power relations in the 21st century, as the research object, employing a spatial spillover perspective informed by bilateral and multilateral theory, information transfer theory and realism and institutionalism. This study utilizes micro-level data on Chinese firms’ outward foreign direct investment (OFDI) for 2008–2023 to study the spatial spillover effects and mechanism involved in the impact of China–US relations on Chinese firms’ OFDI.
Findings
Results show that China–US relations increase Chinese enterprises’ OFDI in countries other than the US, demonstrating spatial spillovers in the impact of China–US relations on Chinese firms’ OFDI. This spatial spillover effect is characterized by a full cycle, time variation and imbalance. The mechanism analysis shows that this spatial spillover is realized through the neighboring country effects and great power demonstration effects. Heterogeneity analysis shows that firms’ independent research and development (R&D) capabilities, China’s economic power and the cultural distance between China and the host country can buffer the impact of changes in China–US relations on Chinese firms’ OFDI.
Practical implications
This study provides a comprehensive understanding of the role of international relations in influencing OFDI and offers useful insights for developing countries to promote high-level opening-up.
Originality/value
First, this study examines the spatial spillover effects of China–US relations on Chinese firms’ OFDI, expanding the perspective of the impact of diplomatic relations on cross-border economic activities. Second, this study enriches the research on the mechanism by which diplomatic relations affect OFDI by arguing that this spatial spillover is realized through the neighboring country effect and the great power demonstration effect. Third, this study confirms the role of enhancing the competitiveness of multinational corporations (MNCs), upgrading the country’s comprehensive national strength, and promoting cultural exchanges in buffering exogenous shocks of changes in China–US relations.
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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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Bo Yang, Lulu Wang and Bayan Omar Mohammed
Social technologies can offer a strong means for organizations to manage their information flows and thus make changes on the organizational knowledge sharing, which may then be…
Abstract
Purpose
Social technologies can offer a strong means for organizations to manage their information flows and thus make changes on the organizational knowledge sharing, which may then be linked to employees’ productivity and performance enhancements. The purpose of this paper is to predict the impact of using the online social network on employee motivation and employee motivation effects on organizational knowledge sharing.
Design/methodology/approach
From employees of tax affairs organization, data are collected. For evaluating the model’s elements, a questionnaire was designed. It was revised by experts with significant experiences. For statistical analysis, SMART-PLS 3.2 is used.
Findings
Findings have confirmed the validity of the proposed model. The results also have indicated that online social networks, social trust and social goals have a positive and important impact on employee motivation. Furthermore, obtained results have revealed that organizational knowledge sharing is significantly influenced by employee motivation and organizational commitment.
Research limitations/implications
The study contributes to the literature on organizational knowledge sharing and employee motivation in online social networking sites. Organizations could benefit from this knowledge by accepting that social networking sites must be considered as a critical component of the knowledge sharing, and precise targeting efforts could be directed for those users. Also, it could be exciting to study further factors affecting the development of organizational knowledge sharing in larger organizations.
Originality/value
The paper rises the understanding of what online social networking encompasses and how it can be utilized for the organization. The ideas and discussion are similarly applicable to libraries and may give them new visions into the delivery of social networking applications as part of their facilities to users.