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Article
Publication date: 21 September 2022

Yuchen Xiao, Huiyi Tang, Hehe Zhang, Xiaoling Yang, Ling Sun, Yong Xie, Baoan Wu, Baifeng Luan, Weidong Xie and Xinnan Cai

The purpose of this paper is to develop high-performance Au-coated Ag alloy wires (ACAA wires) and demonstrate the effect of Au coating layers on the bonding performance…

Abstract

Purpose

The purpose of this paper is to develop high-performance Au-coated Ag alloy wires (ACAA wires) and demonstrate the effect of Au coating layers on the bonding performance and oxidation resistance for stable and reliable electronic packaging applications.

Design/methodology/approach

ACAA wire with a diameter of approximately 25 µm and Au layer thickness of approximately 100 nm were prepared by the continuous casting, plating and wire drawing method. The bonding performance of the ACAA wires were studied through bonding on 3,535 chips. The oxidation resistance of ACAA wires and Ag alloy wires (AA wires) were comparatively studied by means of chemical oxidation tests, accelerated life tests and electrochemical tests systematically.

Findings

ACAA wires could form axi-symmetrical spherical free air balls with controllable diameter of 1.5∼2.5 times of the wire diameter after electric flame-off process. The ball shear strength of ACAA wire was higher than that of AA wires. Most importantly, because of the surface Au coating layer, the oxidation resistance of ACAA wires was much enhanced.

Research limitations/implications

ACAA wires with different lengths of heat affected zone were not developed in this study, which limited their application with different loop height requirements.

Practical implications

With higher bonding strength and oxidation resistance, ACAA wires would be a better choice than previous reported AA wire in chip packaging which require high stability and reliability.

Originality/value

This paper provides a kind of novel ACAA wire, which possess the merits of high bonding strength and reliability, and show great potential in electronic packaging applications.

Details

Microelectronics International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1356-5362

Keywords

Article
Publication date: 1 October 2018

Zheng Xiaotao, Xiaoling Yang, Ismael Diaz and Mingchuan Yu

The purpose of this paper is to examine the inclusive leadership’s too-much-of-a-good-thing effect (TMGT effect) and illustrate the possibility of the potential drawbacks…

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Abstract

Purpose

The purpose of this paper is to examine the inclusive leadership’s too-much-of-a-good-thing effect (TMGT effect) and illustrate the possibility of the potential drawbacks of inclusive leadership.

Design/methodology/approach

In total, 191 questionnaires were valid and used in the study. Employee participants were asked to report their direct supervisor’s inclusive leadership. Employees’ direct supervisors were asked to rate employees’ task performance to minimize common method variance. The authors use regression analysis to test the hypothesis.

Findings

An inverted U-shape characterizes the relationship between inclusive leadership and subordinates’ task performance. Specifically, employees’ task performance is low when the supervisor’s inclusive leadership is low; task performance increases when inclusive leadership is from low to moderate levels, and task performance decreases when inclusive leadership is from moderate to high levels.

Originality/value

The study sheds light on inclusive leadership, especially the inclusive leadership in Chinese context. In addition, this finding is important as it investigates the inclusion’s TMGT effect which is rare in organizational research, and the findings also provide additional evidence of TMGT effect in management fields.

Details

International Journal of Manpower, vol. 39 no. 7
Type: Research Article
ISSN: 0143-7720

Keywords

Open Access
Article
Publication date: 3 August 2020

Zhao-Peng Li, Li Yang, Si-Rui Li and Xiaoling Yuan

China’s national carbon market will be officially launched in 2020, when it will become the world’s largest carbon market. However, China’s carbon market is faced with…

Abstract

Purpose

China’s national carbon market will be officially launched in 2020, when it will become the world’s largest carbon market. However, China’s carbon market is faced with various major challenges. One of the most important challenges is its impact on the social and economic development of arid and semi-arid regions. By simulating the carbon price trends under different economic development and energy consumption levels, this study aims to help the government can plan ahead to formulate various countermeasures to promote the integration of arid and semi-arid regions into the national carbon market.

Design/methodology/approach

To achieve this goal, this paper builds a back propagation neural network model, takes the third phase of the European Union Emissions Trading System (EU ETS) as the research object and uses the mean impact value method to screen out the important driving variables of European Union Allowance (EUA) price, including economic development (Stoxx600, Stoxx50, FTSE, CAC40 and DAX), black energy (coal and Brent), clean energy (gas, PV Crystalox Solar and Nordex) and carbon price alternatives Certification Emission Reduction (CER). Finally, this paper sets up six scenarios by combining the above variables to simulate the impact of different economic development and energy consumption levels on carbon price trends.

Findings

Under the control of the unchanged CER price level, economic development, black energy and clean energy development will all have a certain impact on the EUA price trends. When economic development, black energy consumption and clean energy development are on the rise, the EUA price level will increase. When the three types of variables show a downward trend, except for the sluggish development of clean energy, which will cause the EUA price to rise sharply, the EUA price trend will also decline accordingly in the remaining scenarios.

Originality/value

On the one hand, this paper incorporates driving factors of carbon price into the construction of carbon price prediction system, which not only has higher prediction accuracy but also can simulate the long-term price trend. On the other hand, this paper uses scenario simulation to show the size, direction and duration of the impact of economic development, black energy consumption and clean energy development on carbon prices in a more intuitive way.

Details

International Journal of Climate Change Strategies and Management, vol. 12 no. 5
Type: Research Article
ISSN: 1756-8692

Keywords

Article
Publication date: 3 April 2017

Hongqing Zhu, Xiaoling Ge, Yang Wang and Zequn Ding

This paper aims to study the present situation of Tianjin industrial energy consumption carbon emissions and put forward constructive suggestions for future energy-saving…

Abstract

Purpose

This paper aims to study the present situation of Tianjin industrial energy consumption carbon emissions and put forward constructive suggestions for future energy-saving emission reduction work.

Design/methodology/approach

Using the energy consumption data form the Tianjin’s Industrial Energy Efficiency Guide (TJBS, 2009-2013) and Tianjin’s Statistical Yearbook (NBS, 2006-2012), some models were able to predict the future with a high degree of accuracy.

Findings

With an average error of 3.06 per cent for the logistic regression model and an average error of 2.03 per cent for the gray model, the R2 for the energy elasticity model is 0.99158. It also indicated that between 2008 and 2012, the energy consumption per unit of industrial added value decreased by approximately 33.61 per cent. These results show that energy-saving efforts and the optimization of the industrial structure have increased the energy efficiency of Tianjin.

Originality/value

The authors think that their contribution refers to a combination between methodology of forecasting and industrial energy consumption.

Details

International Journal of Energy Sector Management, vol. 11 no. 1
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 4 October 2022

Xiaoling Guo, Hao Liu and Yicong Zhang

The aim of this research is to examine the application of the stereotype content model (SCM) in the field of marketing from macro (the country of origin), meso- (corporate…

Abstract

Purpose

The aim of this research is to examine the application of the stereotype content model (SCM) in the field of marketing from macro (the country of origin), meso- (corporate image) and micro (service providers, brands, advertising and promotions) levels.

Design/methodology/approach

This paper collects, reviews and summarizes the relevant literature, and prospects future research directions from three levels on this research topic.

Findings

First, the authors contend that competence primacy popularizes in the early work but warmth becomes more influential recently. Second, they identify and discuss two doubts of the SCM in marketing, namely the moral dimension and the link between brands as intentional agents framework (BIAF) and the brand personality theory. Finally, they suggest several research avenues for the use of SCM in marketing research, including research on nation branding, emerging global brands and Confucianist cultures at macro level, artificial intelligence and warmth-as-competence strategy at meso-level, and brand personality and the brand animal logo at micro level.

Originality/value

As an established framework in social psychology, the SCM has been increasingly applied in marketing research and a literature review in this light appears timely. This paper conducts for the first time a comprehensive review of the SCM in the marketing field on three levels, projects promising research directions, and thus contributes to the academia of marketing.

Details

Journal of Contemporary Marketing Science, vol. 5 no. 2
Type: Research Article
ISSN: 2516-7480

Keywords

Article
Publication date: 12 October 2012

Low Sui Pheng, Deng Xiaopeng and Quek Li Ting

The ancient principles of Chinese geomancy appear to share the same goal as total building performance (TBP) in delivering an optimal environment for occupants that…

Abstract

Purpose

The ancient principles of Chinese geomancy appear to share the same goal as total building performance (TBP) in delivering an optimal environment for occupants that promotes their well‐being. This research aims to evaluate the relevance and applicability of Chinese geomancy principles and scenarios with respect to the six TBP mandates.

Design/methodology/approach

The Chinese geomancy concepts vary from considerations relating to openings and colours to surrounding amenities and building height. The assimilated principles and scenarios in both domains are tested through a survey questionnaire of 32 building professionals in Singapore.

Findings

The t‐test statistics indicate that 25 of the 26 Chinese geomancy principles and 12 of the 20 Chinese geomancy scenarios are significantly applicable for the TBP mandates at the 95 per cent confidence interval. This supports the hypothesis that there are common denominators between Chinese geomancy and TBP.

Practical implications

The research examines Chinese geomancy's Form Theory, Yin and Yang Theory, the Classical Compass School and the Black Sect School with respect to the six building performance mandates in terms of the psychological, physiological, sociological and economic aspects. Chinese geomancy principles and scenarios are assimilated in the context of the TBP mandates with the support of evidence from existing literature.

Originality/value

This research provides a back to the basics, macro perspective of the relevance and applicability of Chinese geomancy principles and scenarios with respect to TBP and reveals possible limitations in actual application. However, it also observes that specific scenarios of Chinese geomancy concerning openings, key occupancy locations, building height, trees and roads are not applicable for all contexts. Further research should be carried out to identify the reasons for the inapplicability of certain scenarios, which are caused by different climatic and cultural context of applications, failure to account for technological advancement, and the evolution of Chinese geomancy since time immemorial.

Details

Facilities, vol. 30 no. 13/14
Type: Research Article
ISSN: 0263-2772

Keywords

Article
Publication date: 1 February 2022

Jin Xue, Geoffrey Qiping Shen, Xiaomei Deng, Adedayo Johnson Ogungbile and Xiaoling Chu

Relationship management evolves with dynamic and complex environments of megaprojects. However, studies on the longitudinal measurement of relationship management…

Abstract

Purpose

Relationship management evolves with dynamic and complex environments of megaprojects. However, studies on the longitudinal measurement of relationship management performance for each stakeholder in dynamic and complex project environments are lacking. The purpose of this research is to propose an NK-network evolution model to evaluate stakeholder performance on relationship management in the development of megaprojects.

Design/methodology/approach

The model input includes the stakeholder-associated issues and stakeholders' relational strategies, the co-effects of which determine the internal effects of relationship management in megaprojects. The model processing simulates the stakeholder performance of relationship management under the dynamic and complex nature of megaprojects. The NK model shows the dynamic stakeholder interactions on relationship management, whereas the network model presents the complex stakeholder structures of the relationships between stakeholders and relevant issues. The model output is the evolution graph to reveal the weak stakeholder performance on relationship management in the timeline of the project duration.

Findings

The research finding reveals that all stakeholders experience the plunge of stakeholder performance of relationship management at the decision-making moment of the planning stage. Construction, environmental and pressure groups may experience the hardship of relationship management at the start of the construction stage. The government is likely to suffer difficulties in relationship management in the late construction stage. Local industry groups would face challenges in relationship management in the middle of the construction stage and handover stage.

Originality/value

The research provides a useful approach to measuring weak moments of relationship management for each stakeholder in various project phases, considering the dynamic and complex environments of megaprojects. The proposed model extends the current knowledge body on how to make project stakeholder analysis by modelling dynamic and complex environments of megaprojects, with bridging the knowledge domains of evolution modeling techniques and network methods.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 2 January 2018

Adnan Ali, Afzaal Ali, Guo Xiaoling, Mehkar Sherwani and Sikander Hussain

The purpose of this paper is to investigate the determinants of halal meat consumption within the population of Chinese Muslims in China using the theory of planned…

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Abstract

Purpose

The purpose of this paper is to investigate the determinants of halal meat consumption within the population of Chinese Muslims in China using the theory of planned behaviour (TPB) as a conceptual framework. The role of self-identity as a Muslim, dietary acculturation in the host culture, moral obligation to purchase halal meat and trust on the authenticity of halal meat are explored.

Design/methodology/approach

Cross-sectional data were collected through a survey with 378 Chinese Muslims, currently living in Beijing and Xian cities. Data were analysed by means of correlations and stepwise multiple regressions to test the model and the moderating effects of self-identity, dietary acculturation, moral obligation and trust on behavioural intention.

Findings

A positive personal attitude towards the consumption of halal meat, personal conviction, motivation to comply, perceived control over consuming halal meat and perceived availability of halal meat predict the intention to eat halal meat among Chinese Muslims.

Research limitations/implications

Limitations include the focus on only four individual characteristics related to religious food consumption, namely, self-identity, dietary acculturation, moral obligation and trust. Additional individual characteristics such as individualism-collectivism and involvement or values could improve the predictive power of the model.

Practical implications

Practical implications extend to food marketers and food policy decision-makers who might pursue identity, acculturation, trustworthiness and moral obligation-related strategies in their distribution and communication efforts targeted at the growing halal food market segments across China and worldwide.

Originality/value

The current study addresses the important limitation of previous studies regarding the inclusion of additional possible individual characteristics such as moral obligation and trust in the TPB model to investigate the determinants of halal meat consumption within a food-religion context.

Details

British Food Journal, vol. 120 no. 1
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 2 January 2019

Qinqin Li, Yujie Xiao, Yuzhuo Qiu, Xiaoling Xu and Caichun Chai

The purpose of this paper is to examine the impact of carbon permit allocation rules (grandfathering mechanism and benchmarking mechanism) on incentive contracts provided…

Abstract

Purpose

The purpose of this paper is to examine the impact of carbon permit allocation rules (grandfathering mechanism and benchmarking mechanism) on incentive contracts provided by the retailer to encourage the manufacturer to invest more in reducing carbon emissions.

Design/methodology/approach

The authors consider a two-echelon supply chain in which the retailer offers three contracts (wholesale price contract, cost-sharing contract and revenue-sharing contract) to the manufacturer. Based on the two carbon permit allocation rules, i.e. grandfathering mechanism and benchmarking mechanism, six scenarios are examined. The optimal price and carbon emission reduction decisions and members’ equilibrium profits under six scenarios are analyzed and compared.

Findings

The results suggest that the revenue-sharing contract can more effectively stimulate the manufacturer to reduce carbon emissions compared to the cost-sharing contract. The cost-sharing contract can help to achieve the highest environmental performance, whereas the implementation of revenue-sharing contract can attain the highest social welfare. The benchmarking mechanism is more effective for the government to prompt the manufacturer to produce low-carbon products than the grandfathering mechanism. Although a loose carbon policy can expand the total emissions, it can improve the social welfare.

Practical implications

These results can provide operational insights for the retailer in how to use incentive contract to encourage the manufacturer to curb carbon emissions and offer managerial insights for the government to make policy decisions on carbon permit allocation rules.

Originality/value

This paper contributes to the literature regarding to firm’s carbon emissions reduction decisions under cap-and-trade policy and highlights the importance of carbon permit allocation methods in curbing carbon emissions.

Details

Kybernetes, vol. 49 no. 4
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 16 August 2019

Shuangshuang Liu and Xiaoling Li

Conventional image super-resolution reconstruction by the conventional deep learning architectures suffers from the problems of hard training and gradient disappearing. In…

Abstract

Purpose

Conventional image super-resolution reconstruction by the conventional deep learning architectures suffers from the problems of hard training and gradient disappearing. In order to solve such problems, the purpose of this paper is to propose a novel image super-resolution algorithm based on improved generative adversarial networks (GANs) with Wasserstein distance and gradient penalty.

Design/methodology/approach

The proposed algorithm first introduces the conventional GANs architecture, the Wasserstein distance and the gradient penalty for the task of image super-resolution reconstruction (SRWGANs-GP). In addition, a novel perceptual loss function is designed for the SRWGANs-GP to meet the task of image super-resolution reconstruction. The content loss is extracted from the deep model’s feature maps, and such features are introduced to calculate mean square error (MSE) for the loss calculation of generators.

Findings

To validate the effectiveness and feasibility of the proposed algorithm, a lot of compared experiments are applied on three common data sets, i.e. Set5, Set14 and BSD100. Experimental results have shown that the proposed SRWGANs-GP architecture has a stable error gradient and iteratively convergence. Compared with the baseline deep models, the proposed GANs models have a significant improvement on performance and efficiency for image super-resolution reconstruction. The MSE calculated by the deep model’s feature maps gives more advantages for constructing contour and texture.

Originality/value

Compared with the state-of-the-art algorithms, the proposed algorithm obtains a better performance on image super-resolution and better reconstruction results on contour and texture.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 12 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

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