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The purpose of this study is to reveal the lead–lag structure between international crude oil price and stock markets.

The methods used for this study are as follows: empirical mode decomposition; shift-window-based Pearson coefficient and thermal causal path method.

The fluctuation characteristic of Chinese stock market before 2010 is very similar to international crude oil prices. After 2010, their fluctuation patterns are significantly different from each other. The two stock markets significantly led international crude oil prices, revealing varying lead–lag orders among stock markets. During 2000 and 2004, the stock markets significantly led international crude oil prices but they are less distinct from the lead–lag orders. After 2004, the effects changed so that the leading effect of Shanghai composite index remains no longer significant, and after 2012, S&P index just significantly lagged behind the international crude oil prices.

China and the US stock markets develop different pattens to handle the crude oil prices fluctuation after finance crisis in 1998.

This research aims to focus on the problem of optimizing the layout of charging stations.

The authors estimate the total number of charging stations by the number of existing gas stations using clustering by fast search-and-find of density peaks (CFSFDP) algorithm.

This paper reveals the relationship between the distance and the population. Priority should be given to the short-distance and high-frequency travel charging needs in the city, followed by low frequency and travel, which can improve the use efficiency of the whole charging network.

First, the total number of charging stations is estimated by the number of existing gas stations. This method can fully consider the growth potential of charging vehicles instead of the traditional cars. Besides, the cost-benefit method is proposed to explore the marginal coverage distance of the city’s charging network and can be used to reveal the relationship between the distance and the population.

The purpose of this paper is to whether competition between platforms can be effective, thus leading to efficient allocations.

Based on the classic linear Hoteling model, this paper builds a two-period competition model for two competing platforms using two variants, namely, a discrimination pricing model and a unified pricing model.

In the case of the discrimination pricing model, the competition is moderate, and the two platforms split the market evenly in the first stage, while both platforms tended to offer preferential treatment to new users and set higher prices for regular customers in the second stage. Compared to the unified pricing model, in the first stage, the platform can provide a higher price that depends on the cross-network effect when it implements discrimination, and thus, obtains higher profits. However, in the second stage, fierce competition leads to the release of benefits, new and regular customers obtain lower prices and the platforms lose higher profits. In the long-run, discriminatory pricing is not the best option due to lower total profits. The two platforms will implement cooperative pricing or one platform becomes dominant.

Instead of focusing on the cross-network effects, this paper emphasizes the role of the same-side network effect on price discrimination regarding the platforms’ competition. The same-side network effects are investigated in relation to a discrimination pricing strategy and compared to a unified pricing strategy. Another innovative aspect is the study of these network effects in a dynamic setting based on a two-period competition model for two platforms.

This paper aims to capture tail dependence between sentiment index and Shanghai composite index (SCI) by proposing a sentiment index based on text mining.

Online text mining and the Copula model were used in this study.

First, the paper finds herding effect in the expression of investors’ sentiment from online text data, and the usage occurrence frequency of most vocabulary is less correlative with SCI. Second, given these two features, the paper uses weighted divide-and-conquer algorithm to construct a sentiment index. Finally, because of multivariate non-Gaussian joint distribution between them, the paper uses the Copula model to detect their tail dependences, and finds that both upper and lower tail dependences could have a significant influence between positive sentiment and SCI, with a higher probability on the upper one. Additionally, only the upper tail dependence exhibits the significant influence between negative sentiment and SCI.

This paper proposes a framework of constructing investment sentiment index with the weighted conquer-and-divide algorithm, and characterizes tail dependence between sentiment index and SCI. The implication can measure the environment of investment market of China and provide an empirical ground for bandwagon effect and bargain shopper effect.

The purpose of this paper is to provide the possible and better selection for pedestrian flow evacuation.

Simulation.

First, according to the model with self-decision agents, the paper figures out that the effect of evacuation guided by the random-walk mechanism exceeds that guided by the inertial mechanism, and specifically, the effect of evacuation could significantly improve if random-walk agents restraint the probability of random walk under 0.4. Besides, on neighborhood reference mechanism, individuals who take neighbors’ average direction as reference tend to achieve better effect of evacuation than that of following majority rule. Furthermore, this paper proposes that an optimal ratio of the proportion of clever individuals and system density exists for evacuation effect improvement. Finally, the evacuating effect with barrier locating in different space is also studied in our research.

The effect of evacuation could significantly improve if random-walk agents restraint the probability of random walk under 0.4. On neighborhood reference mechanism, individuals who take neighbors’ average direction as reference tend to achieve better effect of evacuation than that of following majority rule.

The purpose of this paper is to develop a research model that examines the effect of argument quality and argument perspective on the adoption of online reviews in a value-based decision model. In addition, the paper investigates the moderating effects of argument quality from needs theory.

To validate the research model, a questionnaire survey was conducted in the Chinese online shopping context. Hypotheses were tested using partial least squares analysis on a data set of 208 online consumers.

The results suggest that argument quality and argument perspective have positive impacts on perceived value, further influencing the adoption of online reviews. Moreover, the results confirm that the information credibility and quantity sufficiency of online reviews are positively associated with argument quality. The findings also indicate that argument quality mediates the relationship between argument perspective and perceived value.

This work contributes to the literature by employing a value-based decision model to study the adoption of online reviews in the online shopping context, as well as the moderating effect of argument quality on the argument perspective to perceived value. The main conclusions of this study can be valuable to online marketing managers.

The purpose of this paper is to focus on the cultural cognition of Chinese Zhong-yong thinking, which is deeply rooted in Chinese Confucius culture, and to examine how entrepreneurs’ Zhong-yong thinking is related to new venture performance through guanxi network, and also examine how environmental turbulence affects the influencing mechanism.

This paper follows an empirical design. Data are collected from a survey administered to entrepreneurs in new ventures of China. Regression analysis is used to test the hypothesis.

Results show that entrepreneurs’ Zhong-yong thinking is positively related to guanxi and new venture performance, and guanxi mediates the relationship between entrepreneurs’ Zhong-yong thinking and new venture performance. In addition, environmental turbulence moderates the relationship between entrepreneurs’ Zhong-yong thinking and guanxi such that the relationship is stronger under higher technological turbulence or lower market turbulence.

This research uses cross-sectional data, so causal conclusions cannot be made. In addition, more moderators should be considered.

The present study enriches the understanding of how entrepreneurs’ Zhong-yong thinking affects new ventures, which helps entrepreneur understand how to strategize according to external environment and develop what kind of cognitive style to deal with complex situation of their own venture.

This study is a pioneer in exploring non-Western cognitive style–Zhong-yong thinking in entrepreneurial context. It not only enriches the understanding of how Chinese wisdom affects organizational strategy and organizational performance but also advances the cognition research in the field of entrepreneurship.

Retail investors are prone to be affected by information dissemination in social media with the rapid development of Web 2.0. The purpose of this study is to recognize the factors that may impact users' retweet behavior, namely information dissemination in the online financial community, through machine learning techniques.

This paper crawled data from the Chinese online financial community (Xueqiu.com) and extracted author-related, content-related, situation-related, stock-related and stock market-related features from the dataset. The best information dissemination prediction model based on these features was determined by evaluating five classifiers with various performance metrics, and the predictability of different feature groups was tested.

Five prevalent classifiers were evaluated with various performance metrics and the random forest classifier was proven to be the best retweet prediction model in the authors’ experiments. Moreover, the predictability of author-related, content-related and market-related features was illustrated to be relatively better than that of the other two feature groups. Several particularly important features, such as the author's followers and the rise and fall of the stock index, were recognized in this paper at last.

This study contributes to in-depth research on information dissemination in the financial domain. The findings of this study have important practical implications for government regulators to supervise public opinion in the financial market.

The purpose of this paper is to review recent advances in fine and ultra‐fine pitch wire bonding.

Dozens of journal and conference articles published recently are reviewed.

The problems/challenges such as possible wire sweep and decreased bonding strength due to small wire sizes, non‐sticking, metal pad peeling, narrow process windows, wire open and short tail defects are analysed. The solutions to the problems and recent findings/developments in fine and ultra‐fine pitch wire bonding are discussed.

Because of the page limitation, only brief discussions are given in this paper. Further reading is needed for more details.

This paper attempts to provide an introduction to recent developments and the trends in fine and ultra‐fine pitch wire bonding. With the references provided, readers may explore more deeply by reading the original articles.

The purpose of this paper is to investigate how leader humility affects the engagement of employees in creative processes, using perceived organizational support (POS) as a mediator and leader competence as a moderator.

Data were collected from a two-wave sampling of 113 dyads of leaders and subordinates in China.

A curvilinear relationship was found between leader humility and employee engagement in creative processes. Further, POS partially mediates this relationship, and leader competence positively moderates the relationship between leader humility and POS.

First, organizations should select and train leaders who show humility as a character trait and foster a supportive organizational climate. Second, managers should study the benefits of moderate and harms of superfluous humility, especially in the Chinese cultural context. Third, competent leaders are more effective as humble leaders.

Few studies have concentrated on leader humility in the eastern cultural context. The results challenge traditional views of the impact of leader humility and shed light on its mechanism and the conditions under which it promotes employee engagement in creation. This study also clarifies the nonlinear influence of leader humility, building a fine-grained theoretical framework integrating the motivation-opportunities-abilities model and Chinese Zhong-Yong theory.