Guanxi in China is a very ancient concept embedded in the Confucian concept of life and one that is a ‚hot' topic in that it is currently attracting increasing attention from both Western and Chinese scholars. One aspect of Guanxi which has been the subject of most of the research of late is the influence of Guanxi on firm performance. However, relatively few studies have examined how Guanxi at the individual level is transferred into a firm to influence its financial (...) performance. This study first reclassifies Guanxi into obligatory, reciprocal, and utilitarian types at the individual level as a means to clarifying the confusion brought above from previous studies. It then provides a conceptual framework in which to systematically characterize the link between Guanxi at the individual level and organizational dynamics: that is, how is Guanxi at the individual level shifted to a firm and how does it affect organizational dynamics of that firm at the organizational level. Finally, it provides a deeper understanding of the financial implications of Guanxi to business firms in China. (shrink)
This study investigated the status quo of article retractions by Chinese researchers. The bibliometric information of 834 retractions from the Web of Science SCI-expanded database were downloaded and analysed. The results showed that the number of retractions increased in the past two decades, and misconduct such as plagiarism, fraud, and faked peer review explained approximately three quarters of the retractions. Meanwhile, a large proportion of the retractions seemed typical of deliberate fraud, which might be evidenced by retractions authored by repeat (...) offenders of data fraud and those due to faked peer review. In addition, a majority of Chinese fraudulent authors seemed to aim their articles which contained a possible misconduct at low-impact journals, regardless of the types of misconduct. The system of scientific evaluation, the “publish or perish” pressure Chinese researchers are facing, and the relatively low costs of scientific integrity may be responsible for the scientific integrity. We suggested more integrity education and severe sanctions for the policy-makers, as well as change in the peer review system and transparent retraction notices for journal administrators. (shrink)
We show that it is consistent with ZFC + ¬CH that there is a maxima a most disjoint permutation family A ⊆ Symsuch that A is a proper subset of an eventually different family E ⊆ ℕℕ and |A| < |E|. We also ask severa questions in this area.
If F ⊆ NN is an analytic family of pairwise eventually different functions then the following strong maximality condition fails: For any countable H ⊆ NN. no member of which is covered by finitely many functions from F, there is f ∈ F such that for all h ∈ H there are infinitely many integers k such that f(k) = h(k). However if V = L then there exists a coanalytic family of pairwise eventually different functions satisfying this strong maximality (...) condition. (shrink)
Prediction is one of the major challenges in complex systems. The prediction methods have shown to be effective predictors of the evolution of networks. These methods can help policy makers to solve practical problems successfully and make better strategy for the future. In this work, we focus on exporting countries’ data of the International Trade Network. A recommendation system is then used to identify the products that correspond to the production capacity of each individual country but are somehow overlooked by (...) the country. Then, we simulate the evolution of the country’s fitness if it would have followed the recommendations. The result of this work is the combination of these two methods to provide insights to countries on how to enhance the diversification of their exported products in a scientific way and improve national competitiveness significantly, especially for developing countries. (shrink)
Understanding and predicting extreme turning points in the financial market, such as financial bubbles and crashes, has attracted much attention in recent years. Experimental observations of the superexponential increase of prices before crashes indicate the predictability of financial extremes. In this study, we aim to forecast extreme events in the stock market using 19-year time-series data of the financial market, covering 12 kinds of worldwide stock indices. In addition, we propose an extremes indicator through the network, which is constructed from (...) the price time series using a weighted visual graph algorithm. Experimental results on 12 stock indices show that the proposed indicators can predict financial extremes very well. (shrink)
We show that it is consistent with ZFC + ¬CH that there is a maximal cofinitary group (or, maximal almost disjoint group) G ≤ Sym(ω) such that G is a proper subset of an almost disjoint family A $\subseteq$ Sym(ω) and |G| < |A|. We also ask several questions in this area.
We consider the possible cardinalities of the following three cardinal invariants which are related to the permutation group on the set of natural numbers: the least cardinal number of maximal cofinitary permutation groups; the least cardinal number of maximal almost disjoint permutation families; the cofinality of the permutation group on the set of natural numbers.We show that it is consistent with that ; in fact we show that in the Miller model.
Co-clustering is used to analyze the row and column clusters of a dataset, and it is widely used in recommendation systems. In general, different co-clustering models often obtain very different results for a dataset because each algorithm has its own optimization criteria. It is an alternative way to combine different co-clustering results to produce a final one for improving the quality of co-clustering. In this paper, a semi-supervised co-clustering ensemble is illustrated in detail based on semi-supervised learning and ensemble learning. (...) A semi-supervised co-clustering ensemble is a framework for combining multiple base co-clusterings and the side information of a dataset to obtain a stable and robust consensus co-clustering. First, the objective function of the semi-supervised co-clustering ensemble is formulated according to normalized mutual information. Then, a kernel probabilistic model for semi-supervised co-clustering ensemble is presented and the inference of KPMSCE is illustrated in detail. Furthermore, the corresponding algorithm is designed. Moreover, different algorithms and the proposed algorithm are used for experiments on real datasets. The experimental results demonstrate that the proposed algorithm can significantly outperform the compared algorithms in terms of several indices. (shrink)
Most of the existing literature on social preferences either tests whether certain characteristics of the social context influence individual decisions, or tries to estimate parameters of social preference functions describing such behavior at the level of the entire population. In the present paper, we are concerned with measuring parameters of social preference functions at the individual level. We draw upon concepts developed for eliciting other types of utility functions, in particular the literature on decision making under incomplete information. Our method (...) derives parameters of social preference functions from indifference statements about the distribution of payoffs a group. We apply our method in a controlled social preference experiment to establish the external validity of estimated parameters. Our results show the expected relationships to some external factors and also a strong correspondence between parameter estimates and factors that, according to the subjects’ own descriptions, influenced their behavior. We also find that some concepts discussed in the literature on social preferences, in particular envy toward players receiving a larger payoff, have very diverse and complex effects at the individual level. (shrink)
The effect of authentic leadership and leader competency on employee job performance has received growing attention in the past decades; however, few studies have simultaneously integrated these two leadership perspectives. We have thus developed a mediated moderation model to test the interactive effect of authentic leadership and competency on followers’ job performance through work engagement. Based on a sample of 248 subordinate–supervisor pairs, hierarchical regression analyses reveal that authentic leadership positively relates to followers’ task performance and organizational citizenship behavior ; (...) leader competency moderates the relationship between authentic leadership and OCB; and followers’ work engagement mediates the main effect of authentic leadership and the interactive effect of authentic leadership and competency on followers’ task performance and OCB. All the three results are consistent with our hypotheses. (shrink)