Jingfeng Quan and Xiaoyan Tang
This paper aims to explore new variable separation solutions for a new generalized (3 + 1)-dimensional breaking soliton equation, construct novel nonlinear excitations and discuss…
Abstract
Purpose
This paper aims to explore new variable separation solutions for a new generalized (3 + 1)-dimensional breaking soliton equation, construct novel nonlinear excitations and discuss their dynamical behaviors that may exist in many realms such as fluid dynamics, optics and telecommunication.
Design/methodology/approach
By means of the multilinear variable separation approach, variable separation solutions for the new generalized (3 + 1)-dimensional breaking soliton equation are derived with arbitrary low dimensional functions with respect to {y, z, t}. The asymptotic analysis is presented to represent generally the evolutions of rogue waves.
Findings
Fixing several types of explicit expressions of the arbitrary function in the potential field U, various novel nonlinear wave excitations are fabricated, such as hybrid waves of kinks and line solitons with different structures and other interesting characteristics, as well as interacting waves between rogue waves, kinks, line solitons with translation and rotation.
Research limitations/implications
The paper presents that a variable separation solution with an arbitrary function of three independent variables has great potential to describe localized waves.
Practical implications
The roles of parameters in the chosen functions are ascertained in this study, according to which, one can understand the amplitude, shape, background and other characteristics of the localized waves.
Social implications
The work provides novel localized waves that might be used to explain some nonlinear phenomena in fluids, plasma, optics and so on.
Originality/value
The study proposes a new generalized (3 + 1)-dimensional breaking soliton equation and derives its nonlinear variable separation solutions. It is demonstrated that a variable separation solution with an arbitrary function of three independent variables provides a treasure-house of nonlinear waves.
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Zhenyu Tang, Xiaoyan Tang, Shi Pu, Yimeng Zhang, Hang Zhang, Yuming Zhang and Song Bo
To use the 4H-SiC material in integrated circuits for high temperature application, an accurate and simple circuit model of n-channel planar 4H-SiC MOSFET is required.
Abstract
Purpose
To use the 4H-SiC material in integrated circuits for high temperature application, an accurate and simple circuit model of n-channel planar 4H-SiC MOSFET is required.
Design/methodology/approach
In this paper, a SPICE model of n-channel planar 4H-SiC MOSFET was built based on the device simulation results and measurement results. Firstly, a device model was simulated with Sentaurus TCAD, with measured parameters from fabricated planar 4H-SiC MOSFET previously. Then the device simulation results were analyzed and parameters for SPICE models were extracted. With these parameters, an accurate SPICE model was built and simulated.
Findings
The SPICE model exhibits the same performance as the measured results with different environment temperatures. The simulation results indicate that the maximum fitting error is 0.22 mA (7.33% approximately) at 200 °C. A common-source amplifier with this model is also simulated and the simulated gain is stable at different environment temperatures.
Originality/value
This paper provides a reliable modeling method for n-Channel Planar 4H-SiC MOSFET and reference value for the design of 4H-SiC high temperature integrated circuit.
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Mingyu Nie, Zhi Liu, Xiaomei Li, Qiang Wu, Bo Tang, Xiaoyan Xiao, Yulin Sun, Jun Chang and Chengyun Zheng
This paper aims to effectively achieve endmembers and relative abundances simultaneously in hyperspectral image unmixing yield. Hyperspectral unmixing, which is an important step…
Abstract
Purpose
This paper aims to effectively achieve endmembers and relative abundances simultaneously in hyperspectral image unmixing yield. Hyperspectral unmixing, which is an important step before image classification and recognition, is a challenging issue because of the limited resolution of image sensors and the complex diversity of nature. Unmixing can be performed using different methods, such as blind source separation and semi-supervised spectral unmixing. However, these methods have disadvantages such as inaccurate results or the need for the spectral library to be known a priori.
Design/methodology/approach
This paper proposes a novel method for hyperspectral unmixing called fuzzy c-means unmixing, which achieves endmembers and relative abundance through repeated iteration analysis at the same time.
Findings
Experimental results demonstrate that the proposed method can effectively implement hyperspectral unmixing with high accuracy.
Originality/value
The proposed method present an effective framework for the challenging field of hyperspectral image unmixing.
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Jiaxue Yu, Jinglin Tang, Xiaoyan Wang, Jinmei Du, Changhai Xu and Shansheng Zhang
This paper aims to synthesize benzothiazole-azo disperse dyes which can be applied not only for dyeing and alkaline reduction of polyester fabric in one bath, but also for dyeing…
Abstract
Purpose
This paper aims to synthesize benzothiazole-azo disperse dyes which can be applied not only for dyeing and alkaline reduction of polyester fabric in one bath, but also for dyeing and peroxide bleaching of cotton/polyester blend fabric in one bath.
Design/methodology/approach
The synthesized benzothiazole-azo disperse dyes were confirmed by proton nuclear magnetic resonance (1H-NMR) spectroscopy, mass spectroscopy (MS) and UV–visible spectrophotometry. The performance on resistance to alkaline treatment and peroxide bleaching was tested by measuring the color strength of polyester fabric dyed with the synthesized benzothiazole-azo disperse dyes under high-temperature and high-pressure conditions.
Findings
Increasing the electron-withdrawing ability of the substituents in the diazo component and the electron-donating ability of the substituents in the coupling component resulted in a significant bathochromic shift of the maximum absorption wavelength. Except that the disperse dyes synthesized from the coupling components containing the hydroxyethyl group were unstable in alkaline solution, all others exhibited high resistance to alkaline treatment and peroxide bleaching.
Practical implications
The synthesized benzothiazole-azo disperse dyes provide the opportunities to combine dyeing and alkaline reduction of polyester fabric into one bath, and combine dyeing and peroxide bleaching of cotton/polyester blend fabric into one bath.
Originality/value
The synthesized benzothiazole-azo disperse dyes help to establish short processes of polyester and polyester/cotton blend fabrics so as to reduce energy consumption and raise production efficiency.
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Xuemei Li, Xiaoyan Xu and Yanhong Sun
– The purpose of this paper is to study the advance selling strategies for oligopolists when considering the product diffusion effect.
Abstract
Purpose
The purpose of this paper is to study the advance selling strategies for oligopolists when considering the product diffusion effect.
Design/methodology/approach
The authors consider a market that composes of two competitive sellers who are different in their reputation. The two firms sell the same product in the market over two periods (i.e. the advance selling season and the regular selling season). Due to the effect of product diffusion, the demand of each firm in the regular selling season is dependent on the two firms’ advance demands.
Findings
For the firm with lower reputation, it is beneficial to decrease the advance selling price with the diffusion effect caused by its advance demand. For the firm with higher reputation, it is also beneficial to decrease the advance selling price with the diffusion effect caused by its advance demand if the consumers’ enthusiasm for the product in regular selling season is high enough; otherwise it should not decrease his advance selling price since this practice cannot greatly increase his demand.
Practical implications
The obtained results can provide operational managers in reality with valuable suggestions in making advance selling decisions.
Originality/value
The paper is among the first to investigate the impact of product diffusion effect on a firm’s advance selling strategy in a competitive setting.
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Xiaoyan Yan, Min Luo and Changbiao Zhong
The purpose of this paper is to establish a more reasonable evaluation system and model for the development level of rural tourism, and provides a method for quantifying the…
Abstract
Purpose
The purpose of this paper is to establish a more reasonable evaluation system and model for the development level of rural tourism, and provides a method for quantifying the development level of regional rural tourism.
Design/methodology/approach
This paper provides a method for evaluating the development level of rural tourism, constructs an evaluation index system according to the connotation of rural tourism, then calculates the index weight by entropy method, and makes a comprehensive evaluation by grey relational analysis. Taking the development of rural tourism in 11 cities in Jiangxi Province as the research object, the ranking results of 11 cities were obtained by using grey relational analysis.
Findings
The overall development level of rural tourism in Jiangxi Province is positive, but the spatial distribution is uneven, showing the characteristics of “low-level aggregation and high-level dispersion”. The barrier model diagnoses that the degree of financial input is the biggest constraint to the development level of rural tourism in Jiangxi Province.
Originality/value
This study puts forward an evaluation model based on entropy weight and grey relational analysis, which is an important supplement to the grey relational analysis method system and has a positive role in promoting the quantitative evaluation of regional rural tourism level.
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Xiaoyan Chen, Weina Zhu, Yajiao Chen and Qinghua He
The development and evolution of stakeholder collaborative innovation in megaprojects is impacted by various influencing factors. The effect of influencing factors on…
Abstract
Purpose
The development and evolution of stakeholder collaborative innovation in megaprojects is impacted by various influencing factors. The effect of influencing factors on collaborative innovation performance (CIP) in megaprojects is not a simplistic linear relationship but an iterative and non-linear relationship that requires a dynamic perspective to analyze. Therefore, this paper adopts the system dynamic (SD) approach to investigate the dynamic and interactive relationships between the CIP and the influencing factors.
Design/methodology/approach
The study first develops a research framework with the system boundary of “CIP system – organizational collaboration subsystem – knowledge collaboration subsystem – strategic collaboration subsystem”. Then, the causal relationship model, the stock-flow model, and the mathematical equations were determined based on the literature review and the expert interviews. Finally, five performance improvement scenarios were designed according to the practice context of CIP in megaprojects, and simulations were performed using the Vensim PLE software to investigate the CIP from a dynamic perspective.
Findings
The findings reveal that the effect of different influencing factors on CIP grows non-linearly, with the cumulative effect becoming more pronounced as time advances. The incentive mechanism has the most significant effect, and the combined effect of multiple influencing factors has a highly significant facilitating effect on improving CIP. Strategic collaboration, organizational collaboration and knowledge collaboration are mutually conditional and reinforcing with each other, which ultimately promotes the improvement of CIP.
Originality/value
This study uncovers the inherent pattern and the interactive dynamic mechanism of factors for improving CIP in the context of megaprojects. It enriches the theoretical research in the area of collaborative innovation in megaprojects and provides practical management strategies for improving CIP.
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XiaoYan Jin and Sultan Sikandar Mirza
Digitalization is increasingly important for promoting authentic CSR practices. Firms with higher CSR levels motivate their employees to pursue their goals and demonstrate their…
Abstract
Purpose
Digitalization is increasingly important for promoting authentic CSR practices. Firms with higher CSR levels motivate their employees to pursue their goals and demonstrate their social responsibility. However, the literature has not adequately examined how firm-level digitalization influences corporate sustainability from a governance perspective. This study aims to fill this gap by exploring how digitalization affects CSR disclosure, a key aspect of sustainability, at the firm level. Furthermore, this study also aims to investigate how governance factors, such as management power, internal control and minority shareholder pressure, moderate this effect.
Design/methodology/approach
This study employs a fixed effect model with robust standard errors to analyze how digitalization and CSR disclosure are related and how this relationship is moderated by governance heterogeneity among Chinese A-share companies from 2010 to 2020. The sample consists of 2,339 firms, of which 360 are SOEs and 1,979 are non-SOEs. To ensure robustness, this study has excluded the observations in 2020 to avoid the effects of COVID-19 and used an alternative measure of CSR disclosure based on the HEXUN CSR disclosure index. Furthermore, this study also explores the link in various corporate-level CSR settings.
Findings
The regression findings reveal that: First, Chinese A-share firms with higher digitalization levels disclose less CSR information. This finding holds for both SOEs and non-SOEs. Second, stronger management power has a negative moderating effect that weakens the link between digitalization and CSR disclosure, and this effect is mainly driven by SOEs. Third, internal control attenuates the negative association between firm digitalization and CSR disclosure, which is more pronounced in SOEs. Finally, minority shareholders exacerbate the negative relationship between digitalization and CSR disclosure, and this effect is more evident in non-SOEs. These results are robust to excluding the potential COVID effect and using an alternative HEXUN CSR disclosure index measure.
Originality/value
Digitalization and sustainability have been widely discussed at a macro level, but their relationship at a micro level has been largely overlooked. Moreover, there is hardly any evidence on how governance heterogeneity affects this relationship in emerging economies, especially China. This paper addresses these issues by providing empirical evidence on how digital transformation influences CSR disclosure in China, a context where digitalization and CSR are both rapidly evolving. The paper also offers implications for both practitioners and policymakers to design appropriate digital strategies for firm development from diverse business perspectives.
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The purpose of this paper is under the analysis framework of the system theory, analyzing the optimal contract mode of agricultural supply chain to guarantee the stability of…
Abstract
Purpose
The purpose of this paper is under the analysis framework of the system theory, analyzing the optimal contract mode of agricultural supply chain to guarantee the stability of agricultural supply chain and the equilibrium of agricultural product market, to analyze the effect of farmers’ risk attitude on the selection of contract modes and to find the way to encourage farmers’ productive effort and to avoid farmers’ hitchhiking behavior, to guarantee the stability of agricultural supply chain.
Design/methodology/approach
Under the guidance of the system theory, using the Stackelberg model and the nonlinear programming theory, this paper comparatively analyzes farmers’ effort (productive effort and sales effort), farmers’ income and the stability of agricultural supply system of four types of contract modes between farmers, third-party organizations and market.
Findings
First, in the agricultural market, market-type contract cannot maximize farmers’ income. The main reason is that farmers do not have enough ability to avoid market risk and to bargain. Second, for farmers of risk seeking, choosing a market-type contract and secondary-income contract can increase their income. Third, under the fixed-purchase price contract, the hitchhiking behavior would happen. Fourth, when farmers’ productive efforts are the same, farmers’ income under the secondary-income contract is higher than under the fixed-purchase price contract. Because under the secondary-income contract, farmers have the opportunity to obtain the secondary distribution of benefits, farmers’ hitchhiking behavior could be avoided.
Originality/value
Analyzing the contract modes between farmers and the third-party organization in the agricultural market could reduce the influence of price fluctuation, avoid the uncertainty of the relationship between the supply and demand, stimulate the productive effort of farmers and provide theoretical guidance for establishing efficient and stable agricultural supply system.
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Shivam Gupta, Xiaoyan Qian, Bharat Bhushan and Zongwei Luo
Technological developments have made it possible for organizations to use enterprise resource planning (ERP) services without indulging in heavy investments like IT…
Abstract
Purpose
Technological developments have made it possible for organizations to use enterprise resource planning (ERP) services without indulging in heavy investments like IT infrastructure, trained manpower for implementation and maintenance and updating the systems regularly to maintain business competitiveness. Plug and play model offered by cloud ERP has led to a constant creation of large data sets which are structured, semi-structured and unstructured by nature. Thus, there has been a need to analyze such complex data sets and the purpose of this paper is to focus on how cloud ERP and big data predictive analytics (BDPA) will impact the performance of a firm.
Design/methodology/approach
A dynamic capability view (DCV) theory-based model was developed and the authors have collected data by using an online questionnaire from India. Thereafter, the authors have analyzed it by employing structural equation modeling.
Findings
SEM analysis of 231 respondents showcases that the use of DCV theory to define the relationships of cloud ERP and BDPA has been the right move. Out of the 13 hypotheses empirically tested, only 7 hypotheses were supported by the data.
Research limitations/implications
The study showcases cross-sectional data from India. It would be interesting for this study to see if the country-level differences would influence these relationships between cloud ERP and financial performance, BDPA and financial performance and cloud ERP and BDPA.
Originality/value
This study empirically tests the relationship of cloud ERP and BDPA through a model based on DCV theory.