Lingling Li, Yanfang Yang, Ming-Lang Tseng, Ching-Hsin Wang and Ming K. Lim
The purpose of this paper is to deal with the economic requirements of power system loading dispatch and reduce the fuel cost of generation units. In order to optimize the…
Abstract
Purpose
The purpose of this paper is to deal with the economic requirements of power system loading dispatch and reduce the fuel cost of generation units. In order to optimize the scheduling of power load, an improved chicken swarm optimization (ICSO) is proposed to be adopted, for solving economic load dispatch (ELD) problem.
Design/methodology/approach
The ICSO increased the self-foraging factor to the chicks whose activities were the highest. And the evolutionary operations of chicks capturing the rooster food were increased. Therefore, these helped the ICSO to jump out of the local extreme traps and obtain the global optimal solution. In this study, the generation capacity of the generation unit is regarded as a variable, and the fuel cost is regarded as the objective function. The particle swarm optimization (PSO), chicken swarm optimization (CSO), and ICSO were used to optimize the fuel cost of three different test systems.
Findings
The result showed that the convergence speed, global search ability, and total fuel cost of the ICSO were better than those of PSO and CSO under different test systems. The non-linearity of the input and output of the generating unit satisfied the equality constraints; the average ratio of the optimal solution obtained by PSO, CSO, and ICSO was 1:0.999994:0.999988. The result also presented the equality and inequality constraints; the average ratio of the optimal solution was 1:0.997200:0.996033. The third test system took the non-linearity of the input and output of the generating unit that satisfied both equality and inequality constraints; the average ratio was 1:0.995968:0.993564.
Practical implications
This study realizes the whole fuel cost minimization in which various types of intelligent algorithms have been applied to the field of load economic scheduling. With the continuous evolution of intelligent algorithms, they save a lot of fuel cost for the ELD problem.
Originality/value
The ICSO is applied to solve the ELD problem. The quality of the optimal solution and the convergence speed of ICSO are better than that of CSO and PSO. Compared with PSO and CSO, ICSO can dispatch the generator more reasonably, thus saving the fuel cost. This will help the power sector to achieve greater economic benefits. Hence, the ICSO has good performance and significant effectiveness in solving the ELD problem.
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Harit Satt, Fatima Zahra Bendriouch and Sarah Nechbaoui
Does Shariah finance have any impact on the cost of debt? The existing literature on Shariah finance revolves around its effect on the macroeconomic level but remains poor when…
Abstract
Purpose
Does Shariah finance have any impact on the cost of debt? The existing literature on Shariah finance revolves around its effect on the macroeconomic level but remains poor when looking at its impact on the corporate level. The purpose of this paper is to strengthen the latter by examining the relationship between the Shariah compliance level and the interest rate.
Design/methodology/approach
The authors have used a sample of 600 companies, all Shariah-compliant but with different levels of compliance, from 2002 to 2015. A variable determining the level of Shariah compliance was created in accordance with the methodology by S&P 500 Shariah and its underlying index S&P 500; then, a Probit relapse study was conducted to identify the impact of Shariah level on the cost of debt.
Findings
Consistent with the theoretical predictions of the authors, the findings reveal that there is a positive relationship between the level of Shariah compliance and the cost of debt, suggesting that the higher the level of Shariah compliance of a firm, the higher the interest rate.
Research limitations/implications
One important portfolio implication of this study is that the level of Shariah compliance plays a major rule in the cost of debt determination besides the firm-specific factors. The revealed results can be of interest to actors in the fields of corporate finance, corporate governance, decision-makers and investors.
Originality/value
Islamic finance has been one of the most studied and researched topics in the finance world. However, the interest of scholars thoroughly assessed the dynamics of Islamic banking. The effect of Shariah compliance on corporate finance can still be more explored. To the best of the authors’ knowledge, this is a first attempt to capture the effect of Shariah compliance on the cost of debt through the use of a large scope to enrich the literature and at the same time analyzing the effects of Islamic characteristics on firms’ fundamentals.
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Lihua Li, Maria Estela Varua, Adam M. Komarek, Sriram Shankar and William D. Bellotti
The purpose of this paper is to explore the endogenous relationship between production specialisation and market commercialisation with an empirical study of farmers in Northwest…
Abstract
Purpose
The purpose of this paper is to explore the endogenous relationship between production specialisation and market commercialisation with an empirical study of farmers in Northwest China.
Design/methodology/approach
The three-stage least squares were used to address simultaneity and over-identification problems in comparison with two-stage least squares (2SLS). The Durbin-Wu-Hausman test was employed to identify the endogeneity of the commercialisation and specialisation variables. The validity, relevance, and strength of the instruments were tested using the Stock-Yogo weak instrument diagnostics test.
Findings
A two-way interrelationship between specialisation and commercialisation were confirmed, and suggest that farmers’ decisions on farm commercialisation and production specialisation are actually separate and interacting.
Social implications
By demonstrating that a virtuous cycle exists between agricultural commercialisation and on-farm specialisation, policies can be formulated to complement these two effects that may help increase small holders’ income. Farmers’ market participation can be indirectly improved by combining market improvement and risk management tools to encourage production specialisation.
Originality/value
The insights of this study cast further light onto the farm market participation theory by emphasising that higher asset endowments enable small farmers to specialise in production with comparative advantage.
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Wei Li, Yuxin Huang, Leilei Ji, Lingling Ma and Ramesh Agarwal
The purpose of this study is to explore the transient characteristics of mixed-flow pumps during startup process.
Abstract
Purpose
The purpose of this study is to explore the transient characteristics of mixed-flow pumps during startup process.
Design/methodology/approach
This study uses a full-flow field transient calculation method of mixed-flow pump based on a closed-loop model.
Findings
The findings show the hydraulic losses and internal flow characteristics of the piping system during the start-up process.
Research limitations/implications
Large computational cost.
Practical implications
Improve the accuracy of current numerical simulation results in transient process of mixed-flow pump.
Originality/value
Simplify the setting of boundary conditions in the transient calculation.
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Lingling Pei, Qin Li and Zhengxin Wang
The purpose of this paper is to propose a new method based on nonlinear least squares (NLS) for solving the parameters of nonlinear grey Bernoulli model (NGBM(1,1)) and to verify…
Abstract
Purpose
The purpose of this paper is to propose a new method based on nonlinear least squares (NLS) for solving the parameters of nonlinear grey Bernoulli model (NGBM(1,1)) and to verify the proposed model using the case of employee demand prediction of high-tech enterprises in China.
Design/methodology/approach
First of all, minimising the square sum of fitting error of grey differential equation of NGBM(1,1) is taken as the optimisation target and the parameters of classic grey model (GM(1,1)) are set as the initial value of parameter vector. Afterwards, the structural parameters and power exponents are solved by using the Gauss-Newton iteration algorithm so as to calculate the parameters of NGBM(1,1) under given rules for ceasing the algorithm. Finally, by taking the employee demand of high-tech enterprises in the state-level high-tech industrial development zone in China as examples, the validity of the new method is verified.
Findings
The results show that the parameter estimation algorithm based on the NLS method can effectively identify the power exponents of NGBM(1,1) and therefore can favourably adapt to the nonlinear fluctuations of sequences. In addition, the algorithm is superior to the GM(1,1) model, grey Verhulst model, and Quadratic-Exponential smoothing algorithm in terms of the simulation and prediction accuracy.
Research limitations/implications
Under the framework of solving parameters based on NLS, various aspects of NGBM(1,1) remain to be further investigated including background value, initial condition and variable structural modelling methods.
Practical implications
The parameter estimation algorithm based on NLS can effectively identify the power exponent of NGBM(1,1) and therefore it can favourably adapt to the nonlinear fluctuation of sequences.
Originality/value
According to the basic principle of NLS, a new method for solving the parameters of NGBM(1,1) is proposed by using the Gauss-Newton iteration algorithm. Moreover, by conducting the modelling case about employees demand in high-tech enterprises in China, the effectiveness and superiority of the new method are verified.
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Mingchuan Gong, Mengli Xu, Adeel Luqman, Lingling Yu and Ayesha Masood
The phenomenon of mobile social networking site (SNS) addiction has become increasingly severe nowadays and brings adverse outcomes to users’ daily life and work efficiency…
Abstract
Purpose
The phenomenon of mobile social networking site (SNS) addiction has become increasingly severe nowadays and brings adverse outcomes to users’ daily life and work efficiency. However, there are relatively few research probes into the formation process of mobile SNS addiction behavior, and how demographic factors (e.g. gender and age) influence users’ addiction behavior. Adopting the stimulus–organism–response (S–O–R) framework, this study examines the effects of three types of technological functions (enjoyment, sociability and information value) on flow in relation to mobile SNS addiction. The authors further proposed gender and age as moderators, which play important roles in influencing the formation of mobile SNS addiction behavior.
Design/methodology/approach
This study examines the formation of mobile SNS addiction with a particular focus on the WeChat app. The authors use a field survey study conducted in China with 351 subjects of WeChat app users to examine thestudy model.
Findings
The results demonstrate that addictive behavior is determined by users’ flow states of using mobile SNS. The flow states, in turn, are influenced by three types of technological functions (enjoyment, sociability and information value). In addition, gender and age act as vital moderators in the model.
Originality/value
First, the authors empirically examine the formation of SNS addiction on the mobile device by adopting the S–O–R framework, which may enrich the addiction literature. Second, the authors reveal the moderating roles of age and gender in affecting the formation process of addiction behavior further. The findings of this research deepen our understanding of users’ addiction behavior. Third, the findings also offer rich insights to prevent mobile SNS addiction.
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Xiongfei Cao, Mingchuan Gong, Lingling Yu and Bao Dai
The problematic use of social media progressively worsens among a large proportion of users. However, the theory-driven investigation into social media addiction behavior remains…
Abstract
Purpose
The problematic use of social media progressively worsens among a large proportion of users. However, the theory-driven investigation into social media addiction behavior remains far from adequate. Among the countable information system studies on the dark side of social media, the focus lies on users' subjective feelings and perceived value. The technical features of the social media platform have been ignored. Accordingly, this study explores the formation of social media addiction considering the perspectives of users and social media per se on the basis of extended motivational framework and attachment theory.
Design/methodology/approach
This study investigates the formation of social media addiction with particular focus on WeChat. A field survey with 505 subjects of WeChat users was conducted to investigate the research model.
Findings
Results demonstrate that social media addiction is determined by individuals' emotional and functional attachment to the platform. These attachments are in turn influenced by motivational (perceived enjoyment and social interaction) and technical (informational support, system quality and personalization) factors.
Originality/value
First, this study explains the underlying mechanism of how users develop social media addiction. Second, it highlights the importance of users' motivations and emotional dependence at this point. It also focuses on the technical system of the platform that plays a key role in the formation of addictive usage behavior. Third, it extends attachment theory to the context of social media addictive behavior.
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Lingling Yu, Yuewei Zhong and Nan Chen
The online healthcare platform (OHP) has become an essential element of the healthcare system, representing a technological shift in the job responsibilities of medical…
Abstract
Purpose
The online healthcare platform (OHP) has become an essential element of the healthcare system, representing a technological shift in the job responsibilities of medical professionals. Drawing on a technology-based job demands–resources (JD-R) model, this study aims to examine how the technological characteristics of OHP affect doctors’ OHP use psychology and behavior.
Design/methodology/approach
This empirical study was based on a survey conducted among 423 doctors with OHP use experience. The proposed model underwent assessment through partial least squares structural equation modeling (PLS-SEM) to reveal the effects of technology-based job demands (i.e. technology-based work overload and technology-based work monitoring) and resources (i.e. perceived usefulness, facilitating conditions and IT mindfulness) on doctors’ OHP fatigue and continuance use intention.
Findings
Results suggest that technology-based work monitoring, perceived usefulness and facilitation conditions have significant impacts on doctors’ psychological and behavioral responses to using OHP, whereas technology-based work overload and IT mindfulness have a single impact on continuance use intention and fatigue of OHP.
Research limitations/implications
It assists doctors, healthcare administrators, policymakers and technology developers in understanding OHPs’ technological characteristics, enabling them to harness its benefits and mitigate potential challenges. Additionally, given the self-reported cross-sectional data from China, future studies can improve generalizability and adopt experimental methods or longitudinal designs with objective data.
Originality/value
It extends the research on OHP by employing a technology-based JD-R model to explore work attributes and dual effects associated with OHP’s technological characteristics. It also enriches existing research by examining the role of OHP’s technological characteristics in doctors’ psychological and behavioral responses.
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Lida Wang, Xian Rong and Lingling Mu
This study aims to investigate the basic public service level in the Beijing-Tianjin-Hebei region under the impact of COVID-19.
Abstract
Purpose
This study aims to investigate the basic public service level in the Beijing-Tianjin-Hebei region under the impact of COVID-19.
Design/methodology/approach
This study constructed a basic public service-level evaluation system from the five dimensions of education, culture, health, social security and infrastructure and environment, and measures the basic public service level in 13 cities in Beijing, Tianjin and Hebei using the entropy method. The spatial pattern and dynamic evolution of the public service level are analysed from the perspective of dynamic trends in time series and spatial distribution, along with the reasons for the evolution of spatial distribution.
Findings
(1) The basic public service level in the 13 cities is generally on the rise, but the trend is unstable. (2) The basic public service level in space shows a general trend of attenuation from northeast to southwest, with significant spatial imbalance and orientation. (3) The regional differences first increase and then decrease. (4) The inter-group mobility of different basic public service levels is low, and cities with lower initial levels find it difficult to achieve leapfrog development. Moreover, the health service level of the region is still at a low stage, which is not conducive to effectively preventing and controlling the epidemic.
Originality/value
From the perspective of this research, the spatial pattern and dynamic evolution of basic public service were adopted to analyse the coordinated development of the Beijing-Tianjin-Hebei region. Furthermore, this study discusses how to improve the basic public service level to ensure sustainable operation in the region under the impact of COVID-19.
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Hanqing Gong, Lingling Shi, Xiang Zhai, Yimin Du and Zhijing Zhang
The purpose of this study is to achieve accurate matching of new process cases to historical process cases and then complete the reuse of process knowledge and assembly experience.
Abstract
Purpose
The purpose of this study is to achieve accurate matching of new process cases to historical process cases and then complete the reuse of process knowledge and assembly experience.
Design/methodology/approach
By integrating case-based reasoning (CBR) and ontology technology, a multilevel assembly ontology is proposed. Under the general framework, the knowledge of the assembly domain is described hierarchically and associatively. On this basis, an assembly process case matching method is developed.
Findings
By fully considering the influence of ontology individual, case structure, assembly scenario and introducing the correction factor, the similarity between non-correlated parts is significantly reduced. Compared with the Triple Matching-Distance Model, the degree of distinction and accuracy of parts matching are effectively improved. Finally, the usefulness of the proposed method is also proved by the matching of four practical assembly cases of precision components.
Originality/value
The process knowledge in historical assembly cases is expressed in a specific ontology framework, which makes up for the defects of the traditional CBR model. The proposed matching method takes into account all aspects of ontology construction and can be used well in cross-ontology similarity calculations.