Search results

1 – 10 of 73
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 14 May 2018

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…

251

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.

Details

Industrial Management & Data Systems, vol. 118 no. 4
Type: Research Article
ISSN: 0263-5577

Keywords

Access Restricted. View access options
Article
Publication date: 29 January 2020

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…

498

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.

Details

Journal of Islamic Accounting and Business Research, vol. 11 no. 6
Type: Research Article
ISSN: 1759-0817

Keywords

Access Restricted. View access options
Article
Publication date: 6 November 2017

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…

419

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.

Details

China Agricultural Economic Review, vol. 9 no. 4
Type: Research Article
ISSN: 1756-137X

Keywords

Access Restricted. View access options
Article
Publication date: 28 November 2023

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.

113

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.

Details

Engineering Computations, vol. 41 no. 1
Type: Research Article
ISSN: 0264-4401

Keywords

Access Restricted. View access options
Article
Publication date: 3 April 2018

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…

737

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.

Details

Grey Systems: Theory and Application, vol. 8 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

Access Restricted. View access options
Article
Publication date: 3 February 2020

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…

1161

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.

Details

Kybernetes, vol. 49 no. 12
Type: Research Article
ISSN: 0368-492X

Keywords

Access Restricted. View access options
Article
Publication date: 12 May 2020

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…

6044

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.

Details

Internet Research, vol. 30 no. 4
Type: Research Article
ISSN: 1066-2243

Keywords

Access Restricted. View access options
Article
Publication date: 24 December 2024

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…

49

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.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

Keywords

Access Restricted. View access options
Article
Publication date: 5 May 2022

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.

200

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.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 8
Type: Research Article
ISSN: 0969-9988

Keywords

Access Restricted. View access options
Article
Publication date: 23 November 2021

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.

262

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.

Details

Assembly Automation, vol. 42 no. 1
Type: Research Article
ISSN: 0144-5154

Keywords

1 – 10 of 73
Per page
102050