Search results

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This study aims to establish an evaluation method for cross-regional major infrastructure project (CRMIP) supportability. The focus is to identify evaluation indicators from a complexity perspective and develop an evaluation model using qualitative and quantitative methods. Case studies are carried out to verify the reliability of the evaluation model, thereby providing theoretical and practical guidance for CRMIP operations and maintenance (O&M).

Guided by the idea of complexity management, the evaluation indicators of CRMIP supportability are determined through literature analysis, actual O&M experience and expert interviews. A combination of qualitative and quantitative methods, consisting of sequential relationship analysis, entropy weighting, game theory and cloud model, is developed to determine the indicator weights. Finally, the evaluation model is used to evaluate the supportability of the Hong Kong–Zhuhai–Macao Bridge (HZMB), which tests the rationality of the model and reveals its supportability level.

The results demonstrate that CRMIPs' supportability is influenced by 6 guideline-level and 18 indicator-level indicators, and the priority of the influencing factors includes “organization,” “technology,” “system,” “human resources,” “material system,” and “funding.” As for specific indicators, “organizational objectives,” “organizational structure and synergy mechanism,” and “technical systems and procedures” are critical to CRMIPs' O&M supportability. The results also indicate that the supportability level of the HZMB falls between good and excellent.

Under the guidance of complexity management thinking, this study proposes a supportability evaluation framework based on the combined weights of game theory and the cloud model. This study provides a valuable reference and scientific judgment for the health and safety of CRMIPs' O&M.

This study develops an empirical framework to address how large third-party sellers (TPSs) can apply customer acquisition strategies to improve their performance in consumers’ person-goods matching process and how the platform firm’s similar strategies moderate the effects of TPSs’ strategies.

Using data collected from the top ten TPSs from a Chinese e-commerce platform, the fixed effect model is used to validate the conceptual model and hypotheses.

The study results show that both market detection strategy and matching optimization strategy can help large TPSs improve their sales performance. Moreover, the similar market detection strategy applied by the platform firm weakens the effect of large TPSs’ customer acquisition strategies, while the similar matching optimization strategy applied by the platform firm strengthens the effect of large TPSs’ customer acquisition strategies.

This study provides firsthand evidence on the performance of large TPSs’ and the platform firm’s strategies. It demonstrates the effectiveness of large TPSs’ market detection strategy and matching optimization strategy, which can be adopted to meet consumers’ search and evaluation motivations in their person-goods matching process respectively. Moreover, it identifies the role of platform firms by showing the moderating effect of similar strategies adopted by the platform firm on the effect of large TPSs’ customer acquisition strategies.

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.

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.

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.

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 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.

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.