矿井通风三维可视化系统及优化

系统建立了三维仿真框架,建立了三维空间属性模型和非空间属性模型,分别对空间数据和非空间数据进行储存和管理。并建立了Hardy-Cross迭代模型和离散反馈型神经网络模型优化通风网络模型。并以C#语言来实现系统的功能。     

私人股权投资基金运作模式选择与对策研究

私人股权投资基金有契约型、公司型、合伙型三种组织运作模式，在法律的合规性、避免双重征税、投资管理的效率性、监督管理的有效性等诸多方面有较多差异。通过对三种股权投资基金的运作模式的分析，提出信托型私人股权投资运作模式在现阶段是理性决策。公司型私人股权投资运作模式适合早期阶段，有限合伙人股权运作模式是最终发展目标。     

A decision method for supplier selection in multi-service outsourcing

Although supplier selection in multi-service outsourcing is a very important decision problem, research concerning this issue is still relatively scarce. This paper proposes a decision method for selecting a pool of suppliers for the provision of different service process/product elements. It pioneers the use of collaborative utility between partner firms for supplier selection. A multi-objective model is built to select desired suppliers. This model is proved to be NP-hard, so we develop a multi-objective algorithm based on Tabu search for solving it. We then use an example to show the applicability of the proposed model and algorithm. Extensive computational experiments are also conducted to further test the performance of the proposed algorithm.     

高科技企业一线经理领导力研究

高科技企业经理的领导力水平直接影响着员工的积极性与创新性。作为员工直接主管的一线经理，其领导力对于激发员工的积极性和主动性、最大限度地发挥人力资源的潜能至关重要。通过对高科技企业一线经理领导情景的分析，提出了一线经理领导力的核心要素，并探讨了培育和提升领导力的具体措施。     

白音查干矿井涌水量预计

矿井涌水量计算是矿床水文地质勘查中一项重要而复杂的工作,也是矿床水文地质勘查中的根本任务之一。运用大井法和廊道法对首采区、首采工作面和开切眼涌水量进行了预计,认为大井法计算的涌水量成果较为可靠,矿井最大涌水量为296.80m3/h,为今后的矿井安全生产提供了理论依据。     

How knowledge flow affects Korean ICT manufacturing firm performance: a focus on open innovation strategy

The paper presents an integrated viewpoint of technological innovation strategy by considering both the firm and industry levels. Further, we provide a new open innovation framework by adopting a knowledge flow perspective using patent citation information. Finally, we consider a firm’s outbound open innovation performance using cites per patent information together with financial performance to look at both the practical and the potential effects of technological innovation strategy. Through these analyses, this study examines determinants of open technology innovation activity in the information and communication technology manufacturing industry in Korea and draws managerial and policy implications for effective industry promotion and improvement of technology innovation capability.     

Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets

Bankruptcy prediction is still important topic receiving notable attention. Information about an imminent bankruptcy threat is a crucial aspect of the decision-making process of managers, financial institutions, and government agencies. In this paper, we utilize a newly acquired dataset comprising financial parameters derived from the annual reports of small- and medium-sized companies. The data, which reveal the true ratio between bankrupt and non-bankrupt companies, are severely imbalanced and only contain a small fraction of bankrupt companies. Our solution to overcome this challenging scenario of imbalanced learning was to adopt three one-class classification methods: a least-squares approach to anomaly detection, an isolation forest, and one-class support vector machines for comparison with conventional support vector machines. We provide a comprehensive analysis of the financial attributes and identify those that are most relevant to bankruptcy prediction. The highest prediction performance in terms of the geometric mean score is 91%. The results are validated on two datasets from the manufacturing and construction industries.     

The reverse tragedy of the commons: an exploratory account of incentives for under-exploitation in an open innovation environment*

This paper presents an empirical account of a phenomenon that we refer to as the ‘reverse tragedy of the commons’ in open innovation. The name signifies the ‘under-exploitation’ of intellectual property (IP) under weak appropriability. The name is this graphic because the tragedy is costly, and can also render IP effectively worthless and block innovation in the short to medium term. We propose that the tragedy is borne out of the interaction between enterprise characteristics, a competitive setting and the framework that is set by the policy intervention. This finding is pertinent to policy-makers with regard to the design of research, development and innovation instruments, as well as managers who must determine how to implement open practices in innovation.     

中国制造业企业开放式创新行为及影响因素

开放式创新行为对提高企业创新绩效有显著影响。基于2012年世界银行调查数据，对中国企业开放式创新行为影响因素进行了实证分析。研究表明：①企业开放式创新行为在区域、行业上分布不均；②竞争对手情况、信息技术支持度、数据软件共享度、产品出口、产品销售范围等对研发合作有显著正向影响；③高管工作经历、竞争者数量、信息技术支持度等对企业创新开放度有显著正向影响。     

Auditors' Responses to Workload Imbalance and the Impact on Audit Quality*

Using detailed data for fieldwork hours and audit hours by rank from audit engagements in Korea, we examine whether audits conducted under workload imbalance, proxied by busy‐season audits, impair audit quality, and how auditors adjust staff assignments for busy‐season audits. We generally find that busy‐season audits are associated with lower audit quality, and that audit firms reduce the involvement of senior auditors during busy‐season audits. In addition, the greater the involvement of senior auditors and junior auditors, the lesser the deterioration in audit quality. Finally, although there is no increase in interim audits in response to workload imbalance during busy seasons, increasing interim audits can mitigate the negative impact of busy‐season audits on audit quality. Our results are relevant to auditors and regulators, who have expressed concerns about the adverse effects of workload imbalance on audit quality.