Organizational career management practices and objective career success: A systematic review and framework

The theorization of the relationship between organizational investments in career development and individual success remains underdeveloped, and empirical tests of this relationship, which have been dispersed among several disciplinary areas, have produced inconsistent results. Addressing these issues, the purpose of this article is to propose a theoretical framework that illustrates why and how organizational career management practices translate into career success and under what circumstances the relationship is effective. Using a systematic review of empirical studies on career management practices and objective success, we identify three theoretical mechanisms - developmental, informational, and relational - and two groups of contingency factors that explain this relationship. Our framework advances the extant literature on organizational career management and provides suggestions to companies for designing effective career management systems.     

Big data driven cycle time parallel prediction for production planning in wafer manufacturing

Cycle time forecasting (CTF) is one of the most crucial issues for production planning to keep high delivery reliability in semiconductor wafer fabrication systems (SWFS). This paper proposes a novel data-intensive cycle time (CT) prediction system with parallel computing to rapidly forecast the CT of wafer lots with large datasets. First, a density peak based radial basis function network (DP-RBFN) is designed to forecast the CT with the diverse and agglomerative CT data. Second, the network learning method based on a clustering technique is proposed to determine the density peak. Third, a parallel computing approach for network training is proposed in order to speed up the training process with large scaled CT data. Finally, an experiment with respect to SWFS is presented, which demonstrates that the proposed CTF system can not only speed up the training process of the model but also outperform the radial basis function network, the back-propagation-network and multivariate regression methodology based CTF methods in terms of the mean absolute deviation and standard deviation.     

新制度经济学委托代理理论视野的拓展*

新制度经济学中的委托代理理论基于“经济人理性”假定，设计出了精密、精巧、精致的委托代理制度，有效化解了现代企业中委托人与代理人之间利益冲突并提升了企业运营效率。然而，现代企业实践已经证明，即使委托代理制度十分精密、精巧、精致，仍然没有彻底解决委托人与代理人之间的利益冲突和企业运营效率进一步提升问题。因此，必须拓展既有理论视野，从“经济人理性”假定拓展到“经济人+社会人+家庭人复合理性”假定，这样就能够实现委托代理理论视野的拓展。运用新制度经济学研究方法和双边对称信任数理模型表明：基于委托代理制度，进一步强化委托人与代理人之间双边对称信任度，可以进一步化解他们之间的利益冲突并且改善企业运营效率。基于这一结论，强化委托人与代理人之间双边对称信任度的具体路径是优化社会信任环境系统。     

Can commodity futures risk factors predict economic growth?

This paper examines whether commodity futures risk factors can predict future economic growth. We test risk factors capturing various spot or term premia and find that only three factors capturing term premia on the basis-momentum, basis, and change in slope are robust predictors for future economic growth, especially for long horizons. Our findings highlight the importance of the term premia, rather than the spot premia on which the literature has mainly focused. Moreover, we find that possible explanations for predictability of commodity factors—the intertemporal asset pricing model and information diffusion explanation—are all inconsistent with our empirical results.     

Dissecting interbank risk using basis swap spreads

This paper analyses interbank risk using the information content of basis swap (BS) spreads, floating-to-floating interest rate swaps whose payments are associated with euro deposit rates for alternative tenors. To identify the impact of shocks affecting interbank risk, we propose an empirical model that decomposes BS quotes into their expected and unexpected components. These unobservable constituents of BS spreads are estimated by solving a signal extraction problem using a particle filter. We find that expected components covariate with aggregate liquidity and risk aversion while systemic risk arises as the main driver behind unexpected fluctuations. Our empirical findings suggest that macroprudential analysis emerges as a key device to ease asset pricing in a new multi-curve scenario.     

Disentangling types of liquidity and testing limits-to-arbitrage theories in the CDS–bond basis

We disentangle asset-specific, market, and funding liquidity in the CDS–bond basis outside and during the 2007–9 global financial crisis. Our findings stress the importance of separating different types of liquidity, since all three measures have independently negative impacts on the basis. Funding liquidity emerges as the economically most important liquidity metric. While asset-specific liquidity is cross-correlated in both the cash and derivative markets, funding and market liquidity only matter for the cash market. We exploit the decomposition of the basis to test predictions of limits-to-arbitrage theories. We find strong evidence in favor of margin-based asset pricing and flight-to-quality effects.     

重构比较优势理论的微观基础:一般均衡分析

基于消费者与厂商的最优决策,通过将外生技术差别纳入H-O模型进行一般均衡分析,重构比较优势理论的微观基础。研究发现,国际分工取决于要素禀赋与技术差别两种因素的综合作用,劳动力相对丰裕的国家若生产资本密集型商品的技术优势超过禀赋劣势,反而可以出口资本密集型商品。为了避免陷入"比较利益陷阱",中国应采取有效措施加快技术进步,突破传统比较优势分工格局。     

毛泽东思想是中国特色社会主义理论体系的源头

中国特色社会主义理论体系应该是中国化马克思主义理论体系,毛泽东思想作为马克思主义中国化的第一大理论成果,与其有着密切联系.毛泽东思想是中国特色社会主义理论体系的思想源头和理论基础.毛泽东关于社会主义建设的思想是中国特色社会主义理论体系的最主要和最直接的思想来源,毛泽东思想也为社会主义市场经济提供了现实指导意义.     

企业社会责任理论演进及文献述评

企业社会责任已经成为学术界和企业广泛关注的研究领域,中国企业社会责任的意识较薄弱,因此,无论是政府、公众还是企业都应该首先从自我做起,正确认识企业社会责任,为推动企业社会责任在中国的发展及和谐社会的构建作出应有的贡献。