Search results

The purpose of this paper is to cluster and analyse the level of agricultural science and technology in China’s provinces by using grey clustering model, to have an overall understanding of the current situation of agricultural science and technology development in these provinces, and to offer a reference for decision-making departments to draw up agricultural science and technology development plans.

First of all, the grey clustering assessment is used to evaluate the clustering of agricultural science and technology level in China’s provinces in 2011, 2013 and 2015. Also a comparative static analysis is made. Then, based on the prediction data of GM (1,1) model, the provincial agricultural science and technology levels in 2017 and 2019 are analysed by grey clustering. Finally, some suggestions are put forward, such as adjusting the allocation of agricultural science and technology resources and providing policy preferences to backward areas, so as to promote the coordinated development of agricultural science and technology in China.

The development of agricultural science and technology in various provinces and regions of the authors’ country is unbalanced, with a big gap of agricultural and technology level between different provinces. What’s more, the level of agricultural science and technology in remote areas has been developing slowly, but it has been lagging behind. Through the grey clustering analysis of the provincial agricultural science and technology level in 2017 and 2019, it is concluded that the level of agricultural science and technology will be promoted as a whole, but the gap of agricultural science and technology level between different provinces and cities will be enlarged.

This paper comprehensively studies the current situation and future development trends of agricultural science and technology in China’s provinces in recent years, and preliminarily analyses the reasons for the transformation of agricultural science and technology level, however, with no further inspection. Related research should be made for further study.

This paper will provide overall understanding of the current situation of agricultural science and technology development in China’s provinces and cities, and put forward relevant suggestions for the future development of agricultural science and technology in China’s provinces and cities, and provide references for decision-making departments to draw up agricultural science and technology development plans.

For the first time, the grey clustering method is used to the research of agricultural science and technology level in the province. It analyses and evaluates the past and present situation and predicts the future development trend of provincial agricultural science and technology level by the grey clustering analysis method, which is a complete research.

The purpose of this paper is to develop an application software interpolation system based on Taylor Kriging (TK) metamodeling, and apply the developed software system to addressing some engineering interpolation problems.

TK is a novel Kriging model where Taylor expansion is used to identify the base functions of drift function in Kriging. The paper explains the methodology of TK, illustrates the development of software, and reports the results of two case studies by comparing TK with several regression methods.

TK has the advantage of interpolation accuracy, and the developed Kriging software system is useful and can be conveniently manipulated by users.

The developed software system can benefit practical engineering applications that need accurate interpolations under limited observations.

This paper develops an application software interpolation system based on a novel TK metamodel, and the practical engineering applications show that it can provide accurate interpolations under limited observations.

The purpose of this paper is to examine perceived supervisory support (PSS) and the impact of the antecedents of sharing knowledge, namely, clan culture (CC) as well as trust in innovative work behavior (IWB).

This research focuses on small and medium-sized enterprise (SME) employees, especially SMEs located around tourist attractions in Indonesia. Data collection was carried out by distributing questionnaires. The distribution of the questionnaire was carried out in two ways, namely, the offline and online systems via the Google form. Data analysis tool using structural equation modeling.

The findings reveal that PSS, knowledge sharing (KS), CC as well as trust are positively related to IWB. In addition, it was also found that KS was proven to mediate CC relationships as well as the trust which had a positive relationship with IWB.

The research design uses cross-sectional data. This means that the measurement of variables is based on self-reports and is carried out at one time, which can lead to method bias that can affect the results of the study. Thus, further research is recommended to collect data longitudinally, which will make the findings stronger.

Theoretically, this study extends previous research by outlining a set of organizational elements that tend to influence KS behavior and their impact on IWB in the SMEs context.

Managers and owners of SMEs need to create a CC because the creation of a family or CC will more easily foster a culture of sharing knowledge within the organization, which will ultimately increase IWB.

This study emphasizes that it is not only internal factors within employees that can foster IWB but there are external factors that play an important role in increasing IWB, such as CC, PSS, trust and KS. And to the best of the authors’ knowledge, this is the first study to include all the constructs in one model and the context of SMEs.

This paper explores the potential competitive advantages from the development of an internal network of subsidiaries and external network of alliances. Given the broad scope and lack of systematic investigation in prior research, clinical field research was conducted in eleven Japanese subsidiaries in China. Our in‐depth interviews revealed that there are benefits and costs associated with the development of both subsidiary networks and alliance networks. While there are exploitation and exploration benefits from subsidiary network development, internationalizing firms (especially smaller firms) are subject to the liability of foreignness. Alliance network development is an effective way to mitigate this liability if internationalizing firms choose the right alliance strategy.

The purpose of this paper is to present a low-cost, highly mobile system for performing street-level imaging. Street-level imaging and geo-location-based services are rapidly growing in both popularity and coverage. Google Street View and Bing StreetSide are two of the free, online services which allow users to search location-based information on interactive maps. In addition, these services also provide software developers and researchers a rich source of street-level images for different purposes – from identifying traffic routes to augmented reality applications. Currently, coverage for Street View and StreetSide is limited to more affluent Western countries with sparse coverage throughout south-east Asia and Africa. In this paper, we present a low-cost system to perform street-level imaging targeted towards the congested, motorcycle-dominant south-east Asian countries. The proposed system uses a catadioptric imaging system to capture 360-degree panoramic images which are geo-located using an on-board GPS. The system is mounted on the back of a motorcycle to provide maximum mobility and access to narrow roads. An innovative backwards remapping technique for flattening the images is discussed along with some results from the first 150 km which have been captured from Southern Vietnam.

The design was a low-cost prototype design using low-cost off-the-shelf hardware with custom software and assembly to facilitate functionality.

The system was shown to work well as a low-cost omnidirectional mapping solution targeted toward sea-of-motorbike road conditions.

Some of the pictures returned by the system were unclear. These could be improved by having artificial lighting (currently only ambient light is used), a gyroscope-stabilised imaging platform and a higher resolution camera.

This paper discusses a design which facilitates low-cost, street-level imaging for a sea-of-motorcycle environment. The system uses a catadioptric imaging approach to give a wide field of view without excessive image storage requirements using dozens of cameras.

The purpose of the present study was to examine the impact of a student teaching internship program on the self-efficacy of pre-service teachers in China.

With 1,367 participants, structural equation modelling was used to evaluate the fit of the hypothetical model and a latent path analysis was conducted to identify the relationship among various variables.

The results suggested that the program had a significant impact on efficacy in terms of personal skills, general teaching skills and personal qualities of the student interns concerned. Although this study was set in rural China, the findings of this study offered insights for teacher education in other places.

To the best of our knowledge, no research studies have been conducted on this in-service teacher training program in a systematic and comprehensive way using a large sample size and involving all major stakeholders. The aim of the present study is to fill this gap, by exploring the experience of a large cohort of pre-service teachers participating in this student teaching internship program. Studying the experiences of these student teachers will illuminate some of the key challenges faced and how they impacted their teaching and learning during their teaching practices in rural areas. The findings may help teacher education institutions to review and enhance their existing approaches to teaching practices and professional development initiatives not only in rural China but in similar contexts in other countries.

In the background of the post-financial crisis era and the transition of China’s economic development, the frequent occurrence of workplace deviant behavior in the economic field, such as stealing and bribery, caused a huge impact on the enterprise. In recent years, the deviant behavior of employees has been increased noticeably. The purpose of this study is to explore the influence of paternalistic leadership on employee deviant behavior in workplace. To have a deep understanding of the relationship between paternalistic leadership and employee deviant behavior, the author’s design rule-oriented ethical climate and self-interest-oriented ethical climate as two mediators in this research model.

Based on social learning theory and stressor-emotion model, this study conducts an investigation of influence mechanism between paternalistic leadership and workplace deviant behavior. Time-lagged data was collected from 226 employees from six cities in China. To test the hypothesis that the authors developed in this paper, the authors use empirical models from the existing literature about paternalistic leadership on employee deviant behavior. They establish multiple linear regressions to test the hypotheses.

This study reveals the direct effect of authoritarian leadership on employee deviant behavior and the moderated roles of benevolent leadership and moral leadership, also analysis the mediated mechanism of self-interest-oriented ethical climate and rule-oriented ethical climate. The results show that the higher the degree of authority leaders show in the organization, the easier to stimulate workplace deviance of employee, self-interest-oriented ethical climate and rule-oriented ethical climate play mediated role between authoritarian leadership and workplace deviant behavior. The interaction of benevolent leadership and moral leadership with authoritarian leadership can weaken the self-interest-oriented ethical climate but has nothing to do with rule-oriented ethical climate.

This study has three main contributions to the previous literature. First, this study explores the relationship between authoritarian leadership and employee workplace deviance, which could enrich the research on these negative behaviors in the Chinese context. Second, this study unpacks the “black box” in which authoritarian leadership influences employee workplace deviant behavior. Third, this study further examines the impacts of different combinations of the three factors of paternalistic leadership.

The purpose of this paper is to enhance control accuracy, energy efficiency and productivity of customized industrial robots by the proposed multi-objective trajectory optimization approach. To obtain accurate dynamic matching torques of the robot joints with optimal motion, an improved dynamic model built by a novel parameter identification method has been proposed.

This paper proposes a novel multi-objective optimal approach to minimize the time and energy consumption of robot trajectory. First, the authors develop a reliable dynamic parameters identification method to obtain joint torques for formulating the normalized energy optimization function and dynamic constraints. Then, optimal trajectory variables are solved by converting the objective function into relaxation constraints based on second-order cone programming and Runge–Kutta discrete method to reduce the solving complexity.

Extensive experiments via simulation and in real customized robots are conducted. The results of this paper illustrate that the accuracy of joint torque predicted by the proposed model increases by 28.79% to 79.05% over the simplified models used in existing optimization studies. Meanwhile, under the same solving efficiency, the proposed optimization trajectory consumes a shorter time and less energy compared with the existing optimization ones and the polynomial trajectory.

A novel time-energy consumption optimal trajectory planning method based on dynamic identification is proposed. Most existing optimization methods neglect the effect of dynamic model reliability on energy efficiency optimization. A novel parameter identification approach and a complete dynamic torque model are proposed. Experimental results of dynamic matching torques verify that the control accuracy of optimal robot motion can be significantly improved by the proposed model.

The purpose of this article is to analyze the influence of the diversity of information and the use of Web 2.0 applications on the web positioning of online business information providers.

A total of 203 online business information provider websites were selected using three search engines (Google, Yahoo and Bing). This information was encoded to develop two logistic regression models.

The results suggest that the knowledge offered and the resources used to transfer this knowledge play important roles in the web positioning of online business information providers. This study found that entrepreneurs mainly seek technological knowledge, and to acquire it, they use various Web 2.0 applications that do not necessarily include social networks.

This article presents a novel proposal to analyze how knowledge diversity and Web 2.0 applications influence the web rankings of websites that offer information and knowledge for established or new, small and medium enterprises.

This article is novel in that it links the theory of knowledge dissemination with the technologies of the Internet (websites, Web 2.0 applications) and provides evidence of diverse sources of online information that are potentially useful for the entrepreneur of the twentieth century.

El propósito de este artículo es analizar la influencia de la diversidad de información y el uso de las aplicaciones Web 2.0 en el posicionamiento Web de los proveedores de información empresarial en línea.

Un total de 203 sitios Web de los proveedores de información empresarial en línea fueron seleccionados utilizando tres motores de búsqueda (Google, Yahoo y Bing). Esta información fue codificada para desarrollar dos modelos de regresión logística.

Los resultados sugieren que el conocimiento ofrecido y los recursos utilizados para transferir este conocimiento desempeñan funciones importantes en el posicionamiento Web de los proveedores de información empresarial en línea. Este estudio encontró que los empresarios buscan principalmente el conocimiento tecnológico y, para adquirirlo; utilizan varias aplicaciones Web 2.0 que no necesariamente incluyen las redes sociales.

Este estudio presenta una propuesta novedosa para analizar cómo la diversidad de conocimiento y las aplicaciones Web 2.0 influyen en el posicionamiento Web de los sitios Web que ofrecen información y conocimiento para las pequeñas y medianas empresas sean nuevas o establecidas.

Este artículo es novedoso porque vincula la teoría de la difusión de conocimiento con las tecnologías de Internet (sitios Web, aplicaciones Web 2.0) y proporciona evidencia de diversas fuentes de información en línea que son potencialmente útiles para el empresario del siglo XX.