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Competitiveness of pharmaceutical companies hugely depends on new knowledge because of ever-changing technologies and forefront of knowledge. Leadership styles appear to influence knowledge management behavior, but there has been little empirical research on employees' knowledge creation behavior as an outcome of leadership. The study examines how task-oriented leadership affects subordinates' knowledge creation behavior. Based on organismic integration theory (OIT), the study proposes that perception of competitive climate and achievement motivation can conduct as mediators.

Data were collected from 877 full-time working employees in five pharmaceutical companies in China. Participants answered demographic questions and completed the task-oriented leadership, perception of competitive climate, achievement motivation, as well as knowledge creation behavior scale. Structural equation modeling was used to test the hypothesized relationships.

The results review that task-oriented leadership will significantly promote subordinates' knowledge creation behavior. Perception of competitive climate and achievement motivation play mediator roles between task-oriented leadership and subordinates knowledge creation behavior. Perception of competitive climate and achievement motivation have a serial mediating effect between task-oriented leadership and subordinates knowledge creation behavior.

By adopting a task-oriented leadership style through training and development, leaders may stimulate employees more knowledge creation behaviors by transmitting the organization's vision, clarifying their work tasks and setting relatively high-performance standards. Then, organizations should establish a competition mechanism to promote competition among employees, while also preventing malicious competition. Finally, organizations should arouse employees' achievement motivation to stimulate their internal pursuit of success and needs.

Because of the improvement of information technology and the acceleration of knowledge dissemination, the need for new knowledge is becoming more and more urgent in organizations. Knowledge, as a resource that needs to be managed in an organizational environment, has regained researchers' attention. However, a flourishing number of studies explain the organizational knowledge management from the macro level, there is a need to explore how leaders influence their subordinates to create knowledge. From the perspective of extrinsic motivation internalization, this study’s findings contribute to the literature on task-oriented leadership and knowledge creation behavior and expand our understanding of why task-oriented leadership promotes subordinates' knowledge creation behavior.

Mitigating agricultural greenhouse gas (GHG) emissions is an essential part of China's effort to achieve net-zero emissions. This study assesses the cost-effectiveness of China's agricultural GHG reduction under diverse carbon policies.

The study employs a parametric non-radial distance function approach and estimates the technical abatement potential and marginal abatement cost (MAC) of GHG in China's agricultural sector for the 2008–2017 period.

Agriculture is expected to make a great contribution to China's net-zero emissions progress. This study empirically analyses the cost-effectiveness of China's agricultural GHG reduction under diverse carbon policies. A parametric non-radial distance function approach is used to derive technical abatement potential and MAC of GHG for the 2008–2017 period. The results indicate that no significant improvement had been achieved in terms of agricultural GHG reduction in China during 2008–2017. The country's agricultural sector could reduce 20–40% GHG emissions with a mean value of 31%. In general, western provinces have larger reduction potential than eastern ones. The average MAC for the whole country is 4,656 yuan/ton CO₂e during 2008–2017. For most western provinces, their MAC values are considerably higher than those for most eastern provinces. Compared with previous sectoral estimates of GHG mitigation cost, this study’s estimates indicate that reducing agricultural GHG emissions in some provinces is likely to be cost-effective. The Chinese government should consider expanding its national carbon market to cover agricultural sector.

The Chinese government should consider expanding its national carbon market to cover agricultural sector.

Existing studies in the field mostly ignore input constraints, which is inconsistent with carbon mitigation policy practice, especially in the agricultural sector. This study’s approach integrates both input and output constraints reflecting differing policy practice.

With the development of small towns in China, the country pays more and more attention to the protection of landscape resources. It is an urgent problem that is how to protect landscape resources and ecological environment while developing economic industry in small towns. Establishing an ecotourism evaluation model can provide valuable reference for ecotourism planning, development protection and sustainable development of small towns.

This paper uses the analytic hierarchy process (AHP) to construct the ecotourism evaluation system that accords with the characteristics of small towns. A judgment matrix is constructed to determine specific indicators and factor values based on expert survey results. Based on the AHP theory and considering 4 aspects, construction conditions of featured small towns, ecological and environmental conditions, ecotourism resources endowment and development conditions and tourism capacity. In addition, 16 factor evaluations were selected, evaluation model of ecotourism resources were built and each evaluation index value was confirmed by adopting expert's advice.

Ecological environment, socioeconomic, uniqueness, esthetic ornamental value, small-scale industry scale, type and development level, type and scale, tourism talent level, therapeutic and leisure value were the indispensable components of evaluation of ecotourism resources in featured small towns.

The ideas of ecological environment development are rooted in the hearts of the people with the development of times. The model in this research is pertinent, typical and universal to some extent. Thus it is worth popularizing and applying.

This paper aims to assess the impact of research in the field of scientometrics by using the altmetrics (social media metrics) approach.

This is an applied study which uses scientometric and altmetrics methods. The research population consists of the studies and their citations published in the two core journals (Scientometrics and Journal of Informetrics) in a period of five years (included 1,738 papers and 11,504 citations). Collecting and extracting the studies directly was carried from Springer and ScienceDirect databases. The Altmetric Explorer, a service provided by Altmetric.com, was used to collect data on studies from various sources (www.altmetric.com/). The research studies with the altmetric scores were identified (included 830 papers). The altmetric scores represent the quantity and quality of attention that the study has received on social media. The association between altmetric scores and citation indicators was investigated by using correlation tests.

The findings indicated a significant, positive and weak statistical relationship between the number of citations of the studies published in the field of scientometrics and the altmetric scores of these studies, as well as the number of readers of these studies in the two social networks (Mendeley and Citeulike) with the number of their citations. In this study, there was no statistically significant relationship between the number of citations of the studies and the number of readers on Twitter. In sum, the above findings suggest that some social networks and their indices can be representations of the impact of scientific papers, similar citations. However, owing to the weakness of the correlation coefficients, the replacement of these two categories of indicators is not recommended, but it is possible to use the altmetrics indicators as complementary scientometrics indicators in evaluating the impact of research.

Investigating the impact of research on social media can reflect the social impact of research and can also be useful for libraries, universities, and research organizations in planning, budgeting, and resource allocation processes.

The purpose of this paper is to investigate the effect of doping element on the microwave absorption performance of hexagonal nano boron nitride (h-nBN)-reinforced basalt fabric (BF)/epoxy composites. A new type of hybrid composite that will be produced by the use of boron nitride as an additive that leads to increased radar absorption capability will be developed and a new material that can be used in aeronautical radar applications.

This study is focused on the microwave absorption properties of h-nBN doped basalt fabric-reinforced epoxy composites. Basalt fabric (BF)/epoxy composites (pure composites) and the BF/h-nBN (1 Wt.% h-nBN doped composites) hybrid composites were fabricated by vacuum infusion method. Phase identification of the composites were performed using X-ray diffraction (XRD), the 2θ scan range was from 10 to 60 with the scanning speed of 3°/min and surface morphologies of the composites were investigated using scanning electron microscopy (SEM). Microwave properties of samples were investigated through transmission/reflection measurements in Agilent brand 2-Port PNA-L Network Analyzer in the frequency range of 3–18 GHz. The prepared sample is positioned between two horn antennas with and without metal plate.

Experimental results show that h-nBN doped composite was synthesized successfully and the produced hexagonal nano boron nitride-added fiber laminated composite material has good absorption behavior when they are used with metallic sheets and good for isolation applications at many points in the 3–18 GHz band.

This paper will contribute to the literature on the use of basalt fabric, which are new types of fibers, and hexagonal nano boron nitride and the effects of boron nitride on radar absorption properties of composite material. It presents detail characterization of each composite by using XRD and scanning electron microscopy.