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This paper aims to present a machine learning framework for using big data analytics to predict the reliability of solder joints. The purpose of this study is to accurately predict the reliability of solder joints by using big data analytics.

A machine learning framework for using big data analytics is proposed to predict the reliability of solder joints accurately.

A machine learning framework for predicting the life of solder joints accurately has been developed in this study. To validate its accuracy and efficiency, it is applied to predict the long-term reliability of lead-free Sn96.5Ag3.0Cu0.5 (SAC305) for three commonly used surface finishes such OSP, ENIG and IAg. The obtained results show that the predicted failure based on the machine learning method is much more accurate than the Weibull method. In addition, solder ball/bump joint failure modes are identified based on various solder joint failures reported in the literature.

The ability to predict thermal fatigue life accurately is extremely valuable to the industry because it saves time and cost for product development and optimization.

This study aims to investigate the critical success factors of digital transformation in the construction industry and identify whether the respondents' profiles influence their perceptions of critical success factors for digital transformation.

To achieve the objectives, a literature review was first conducted based on technology-organization-environment (TOE) framework. Then a questionnaire survey was carried out. A total of 86 people were surveyed in this study, mainly from the construction industry. At the level of data processing, SPSS was used for analysis. Among the main tests used were the Shapiro–Wilk test, reliability analysis, mean rank analysis, Kruskal–Wallis test and Mann–Whitney U test.

The study identified 15 critical success factors of digital transformation and found the three most important factors of digital transformation. Furthermore, respondents with different years of experience, enterprises with different sizes and different years made no difference in the perception of factors. Respondents' different occupations and types of enterprises created a bias in the perception of factors for digital transformation.

Firstly, the small sample size of the questionnaire limits the reference value of data analysis for certain groups. In addition, this study focuses broadly on construction enterprises without specifically examining different types of enterprises, thus lacking depth in its findings.

This study establishes a connection between TOE theory and the construction industry through an extensive literature review, identifying relevant factors and providing a reference for future research.

The study's results would enrich the research on digital transformation in the construction industry and provide a reference for the digital transformation of construction enterprises.

Studies on cross-culture marketing often focus on either localization or globalization strategies. Based on data from pre-communist China (1912–1949), product hybridization – defined as a process or strategy that generates symbols, designs, behaviors and cultural identities that blend local and global elements – emerges as a popular intermediate strategy worthy of further inquiry. After examining the mechanisms and processes underlying this strategy, a schema for classifying product hybridization strategies is developed and illustrated. The paper aims to discuss these issues.

Critical historical research method is applied to historical data and historical “traces” from pre-communist China’s corporate documents, memoirs, posters, advertisements, newspapers and secondhand sources.

Strategic interactions between domestic and foreign companies in pre-communist China fostered products and a city (Shanghai) containing Chinese and non-Chinese elements. Informed by historical traces and data from pre-communist China (1912-1949), a 2 × 2 classification schema relating company type (i.e. foreign or domestic) to values spectrum endpoint (i.e. domestic vs foreign) was formulated. This schema reflects the value of communication, negotiation and cultural (inter)penetration that accompanies cross-culture product flows.

Cross-culture marketing strategies meant to help companies satisfy diverse marketplace interests can induce a mélange of product design elements. Because product hybridization reflects reciprocity between domestic and foreign companies that embodies multiple interests and contrasting interpretations of product meanings, researchers should examine globalization and localization synergistically.

Strategies adopted by domestic and foreign companies in pre-communist China (1912–1949) can help contemporary companies design effective cross-culture marketing strategies in a global marketplace infused with competing meanings and interests.

Examining historical strategies adopted in pre-communist China (1912–1949) can inform contemporary marketers’ intuitions. Understanding product hybridization in global marketplaces can improve marketing efficiency.

Plastic ball grid array packages were aged for up to 2000 hours. Various solder ball pad metallurgies were studied and solder ball shear tests were conducted at a range of ageing times. The solder ball shear strength was found to decrease after an initial hardening stage. The deterioration of solder ball shear strength was found to be mainly caused by the formation of intermetallic compound layers, together with microstructural coarsening and diffusion related porosity at the interface. For the ball pad metallurgy, two distinct intermetallic compound layer structures were observed to have formed after ageing. Once two continuous intermetallic compound layers formed fracture tended to occur at their interface. For the ball pad metallurgies which do not form two continuous intermetallic compound layers, the shear strength still decreased, due to the coarsening of the microstructure, intermetallic particle formation and diffusion related porosity at the surface of the Ni₃Sn₄.

The purpose of this paper is to investigate factors that account for variations in the export performance between private‐owned enterprises (POEs) and state‐owned enterprises from the perspective of value chain.

The authors conducted empirical analysis with the panel data of 19 industrial sectors in China between 2005 and 2007.

This study finds that labor input, state ownership and vertical specialization have positive effects on export performance while capital and technology inputs have negative effects. In particular, the study found that the superior export performance of state‐owned enterprises to private‐owned ones can be mainly explained by their positions of vertical specialization in the upper stage along the industrial value chain.

The paper shows that, given the significance of POEs in China's economy and foreign trade, restrictions on POEs to enter certain high‐end industrial sectors should be relaxed and policy makers should undertake favourable policies to help POEs to engage in high‐end activities along the industrial value chain.

Although export performance has always been a heated topic in both economics and business studies, the value chain perspective has been rarely investigated and this paper fills the research gap.

The purpose of this paper is to provide a critical historical analysis of the business (mis)behaviors and influencing factors that discourage enduring cooperation between principals and agents, to introduce strategies that embrace the social values, economic motivation and institutional designs historically adopted to curtail dishonest acts in international business and to inform an improved principal–agent theory that reflects principal–agent reciprocity as shaped by social, political, cultural, economic, strategic and ideological forces

The critical historical research method is used to analyze Chinese compradors and the foreign companies they served in pre-1949 China.

Business practitioners can extend orthodox principal–agent theory by scrutinizing the complex interactions between local agents and foreign companies. Instead of agents pursuing their economic interests exclusively, as posited by principal–agent theory, they also may pursue principal-shared interests (as suggested by stewardship theory) because of social norms and cultural values that can affect business-related choices and the social bonds built between principals and agents.

The behaviors of compradors and foreign companies in pre-1949 China suggest international business practices for shaping social bonds between principals and agents and foreign principals’ creative efforts to enhance shared interests with local agents.

Understanding principal–agent theory’s limitations can help international management scholars and practitioners mitigate transaction partners’ dishonest acts.

A critical historical analysis of intermediary businesspeople’s (mis)behavior in pre-1949 (1840–1949) China can inform the generalizability of principal–agent theory and contemporary business strategies for minimizing agents’ dishonest acts.

Six Sigma has been one of main quality improvement approaches since Motorola first invented Six Sigma in 1987. Many scholars and consult experts have discussed the critical success factors of implementing Six Sigma management, but most of them are based on related theories or qualitative analyses. In the paper, we first review critical success factor of Six Sigma status quo based on literature. Then we design the questionnaire and survey China manufacturing enterprises that have introduced Six Sigma management. And finally, we analyze the critical success factors of China manufacturing industry implementing Six Sigma management by using structural equation model and find that leadership and Six Sigma strategy, focus on market and customer, evaluation and motivation, selecting, managing and implementing Six Sigma projects are four critical success factors of China manufacturing enterprises implementing Six Sigma management. At the same time, the paper also presents the relationships between the critical success factors. The results are of important role in China manufacturing industry locating resources, eliminating waste and improving Six Sigma performance.

The purpose of this study is to investigate the impacts of surface ozone pollution on rice profit, output and variable inputs in China.

This study estimates the rice profit function using county-level rice production data and ozone monitoring data in 2014 and 2015 to capture the impact of ozone pollution on rice profit. Then, it uses dual approach to identify the impacts of ozone on the supply of rice and the demand for variable inputs. The ozone concentration data are obtained from 1,412 monitoring stations established by the National Environmental Monitoring Centre of China.

The results show that surface ozone would significantly reduce rice profits; a 1% increase in (the daily average ozone concentration from 9 am to 4 pm) leads to a 0.1% decrease in profits. In addition, ozone has a negative impact on the levels of inputs and the supply of rice, and the elasticities of rice output, fertilizer input and labour input with respect to are −0.87, −0.86 and −0.78%, respectively. These results suggest that ozone pollution affects rice production via two channels: the direct damage on rice growth and the indirect negative impact of reducing variable inputs.

This study estimates the impacts of surface ozone pollution on rice profit and output, and quantifies its influence on variable inputs in China, which provides a better understanding of farmers' adaptation behaviour.

The goal of this chapter is to respond to the theoretical inquiries by scholars who are interested in how the public–private partnership (PPP) models adapt to China’s context where political power dictates economic strategies. We also want to provide suggestions to policy designers who aim to promote a sustainable investment environment for domestic and international investors. We review the literature that explains the upside and downside of PPP projects in contemporary China. (1) We classify the trajectory of PPP evolution into four phases, i.e., emergence, growth, recession and revival. (2) We note that private companies take a disadvantageous position in the partnership compared with governments and state-owned enterprises because of a lack of specialized legislation, unequal competition between private companies and state-owned enterprises and the opposition from the civic society. (3) We identify political risks as the most influential risks. Political risks also lead to the misallocation of other risks between public and private parties that contributes to the high failure rate of China’s PPP projects. Based on these findings, we recommend governments to draft specialized legislation, stabilize the political environment and provide favourable subsidies to local governments to limit the risks involved in PPP projects. We also advise private enterprises and state-owned enterprises to focus on negotiating over task and risk division with governments when they make decisions to participate in PPP projects. This full review of studies on PPP development in China provides reliable recommendations to scholars, governments and enterprises.

Broiler meat is the most commonly used meat product worldwide. Although China is regarded as one of the three largest broiler producers, the per capita chicken consumption remains low. Consumers' cognitive bias and the information acquisition channels are believed to be the main factors contributing to this. This paper aims to discuss the aforementioned issue.

To explore the phenomenon empirically, the current study uses the survey data of 1,056 consumers from China and analyses them using ordered logistic regression.

The results revealed that consumers' cognitive bias significantly affects their behaviour toward broiler products, and the order of influence is cognitive bias regarding industry cognitive > product nutrition and taste > food safety. The study further revealed that the more diverse the information acquisition channels, the more likely they are to promote consumer behaviour toward broiler chickens. The order of influence of the channels was self-organising > new media > traditional media.

Overall, the findings suggest that the government and enterprises should strengthen and upgrade information channels to boost both the broiler industry and consumer consumption behaviour regarding poultry products.

Rather than the usual focus on the impact of consumer cognition on consumer behaviour, this study examines the impact of cognitive bias on consumer behaviour. Further, centring on broiler products with high protein, low fat and feed-to-meat ratios, this study explores the reasons the per capita consumption of broiler products in China is far lower than the national average.