Criteria of Determining the P/T Upper Limits of GR&;R in MSA

The MSA combines estimates of the variations of repeatability and reproducibility and is mainly analyzed by experimental design. The variations of personnel, measurement equipment, and the part itself can be analyzed via the data obtained to improve the capability of the measurement system. MSA of both QS9000 and ISO/TS16949 defines GR&R acceptable criteria. GR&R of the MSA in QS9000 is determined by the Precision-to-Tolerance (P/T) value, the percentage of the measurement system variations to the deviation during the manufacturing process or to the part tolerance. If the P/T value is less than 10%, the accuracy of the measurement system is acceptable. If the P/T value falls between 10 and 30%, acceptance of the accuracy of the measurement system is up to the company. When the P/T value is greater than 30%, precision of the measurement system will not be accepted. The aforementioned GR&R acceptance criteria were established by three major automobile companies of the US according to their past experiences. As the capability index C _pm reflects both process yield and process loss, we use C _pm to set a proper range of GR&R acceptable criteria. If the P/T value is not within the acceptable range, the measurement system is required for modification. If the P/T value is within the acceptable range, The process capability can be enhanced by improving the manufacturing process.     

The effects of international off-site surveillance on bank rating changes

This article explores the determinants for off-site surveillance of short and long-term bank rating changes for rated banks in Asia, and the differences between them. An ordered logit model reveals that the CAMEL criteria for asset quality and capital adequacy and other financial variables such as asset size and mergers and acquisitions (M&A) play an important role that influences both the short-term and long-term bank ratings. Notably, it is found that higher capital to loan ratio and greater liquid asset ratio are likely to improve the probability of long-term creditworthiness, while higher impaired loan ratios are less likely to improve the short-term bank ratings. Results of the marginal effect suggest that the dividable scale helps to improve long-term creditworthiness through cross-selling tactics, synergy gains, and a better capability for fund raising.     

Estimating and Testing Process Precision with Presence of Gauge Measurement Errors

Process capability indices have been widely used in the manufacturing industry. Those capability indices, quantifying process potential and performance, are important for any successful quality improvement activities and quality program implementation. Because of the simplicity and easy of understanding, the precision index C_p has gained its popularity for measuring process consistency. However, the quality of data on the process characteristics relies very much on the gauge measurement. Conclusions about capability of the process just only based on the single numerical value of the index are not reliable. In this paper, we not only conduct the performance of the index C_p with gauge measurement errors, but also present adjusted confidence interval bounds and critical values for capability testing purpose of C_p with unavoidable measurement errors. Our research would help practitioners to determine whether the factory processes meet the capability requirement, and make more reliable decisions.     

Realized volatility forecasting and option pricing

A growing literature advocates the use of microstructure noise-contaminated high-frequency data for the purpose of volatility estimation. This paper evaluates and compares the quality of several recently-proposed estimators in the context of a relevant economic metric, i.e., profits from option pricing and trading. Using forecasts obtained by virtue of alternative volatility estimates, agents price short-term options on the S&P 500 index before trading with each other at average prices. The agents’ average profits and the Sharpe ratios of the profits constitute the criteria used to evaluate alternative volatility estimates and the corresponding forecasts. For our data, we find that estimators with superior finite sample Mean-squared-error properties generate higher average profits and higher Sharpe ratios, in general. We confirm that, even from a forecasting standpoint, there is scope for optimizing the finite sample properties of alternative volatility estimators as advocated by Bandi and Russell [Bandi, F.M., Russell, J.R., 2005. Market microstructure noise, integrated variance estimators, and the accuracy of asymptotic approximations. Working Paper; Bandi, F.M., Russell, J.R., 2008b. Microstructure noise, realized variance, and optimal sampling. Review of Economic Studies 75, 339–369] in recent work.     

Design and investigation of EWMA and double EWMA with quadratic process model in R2R controllers

In the last few years, “Run-to-Run” (R2R) control techniques have been developed and used to control various processes in industries. These techniques combine control engineering and statistical process control techniques. The R2R controller is basically consists of a linear regression model that relates the input variables to the output variables using Exponentially Weighted Moving Average (EWMA) or double EWMA (dEWMA) scheme. In this paper, we have developed a quadratic R2R controller model as an extension of Box, Luceno and Del Castillo models. The validity and performance of the developed models were tested in the magnetic ceramic process. By this study we have found that the quadratic model improves capability of process and applying dEWMA procedure decreases variance of the response variables. The results of the study shows that the quadratic R2R control models outperform linear R2R controls in the certain manufacturing process.     

Efficiency evaluation of China's high-tech industry with a multi-activity network data envelopment analysis approach

This paper employs a Russell multi-activity network DEA model and divides the overall innovation process into the upstream Research and Development (R&D) process and the downstream commercialization process to appraise the innovation performance of China's high-tech industries from 2009 to 2013. This model can deal with the problems of intermediates, shared inputs and slack-based measure in a unified framework, and the result can provide policy makers with process-specific information on how to improve the innovation performance of China's high-tech industries. The main findings are presented as follows. First, the overall efficiency of China's high-tech industries still remains at a low level, which has its roots mainly in commercialization inefficiencies other than R&D inefficiencies. Second, for most provinces, their R&D efficiencies do not match up with their commercialization efficiencies. Finally, the innovative activities of China's high-tech industries should be driven by the market demand -oriented for the improvement of innovation efficiency.     

S公司DPMO质量指标体系的建立

DPMO是度量过程质量水平的一个重要指标。文章研究建立在S公司DPMO质量指标体系的建立这个项目上,对DPMO质量指标在加工企业中的应用进行了研究。项目组在充分了解S公司P3车间生产和工艺特点的基础上,借鉴了IPC-7912中对DPMO的定义,结合了六西格玛管理的定义和改进本质,制定了一套适合该公司该车间的缺陷机会定义准则,建立了一套适合S公司P3车间的质量指标体系,取得了较好的效果。     

Development of a project management model for a government research and development organization

This article presents the results of an undergraduate project to develop a project management model for integration into a government research and development (GR&D) organization. The project was divided into three main phases: literature review, creation and execution of an organizational culture survey, and the development of a project management model compatible with GR&D organizations. It was found that, although there are cultural gaps between the GR&D and project management cultures, it is possible to bridge these gaps by a combination of training, organizational structure, and the application of project management techniques blended to match the type of research project and fundamental cultural assumptions.     

Higher moment exchange rate exposure of S&P500 firms

We examine the impact of higher order moments of changes in the exchange rate on stock returns of U.S. large-cap companies in the S&P500. We find a robust negative effect of exchange rate volatility on S&P500 company returns. The consumer discretionary and the consumer staples sectors have significant negative exposure to exchange rate volatility suggesting that exchange rate volatility affects stock returns through the channel of international operations. In terms of industries, the household products and personal products industries have significant negative exposure as well. The impact in the financial sector suggests that derivatives and hedging activity can mitigate exposure to exchange rate volatility. We find weak evidence that exchange rate skewness has an effect on S&P500 stock returns, but, find evidence that exchange rate kurtosis affects returns of companies that are more exposed to exchange rate volatility.     

闽台信息产业的转移与承接问题分析

闽台两地隔海相望,产业间交流的日趋频繁为两地经济提供了良好的发展平台。信息产业作为台湾的领先产业和福建省的主导产业近年来已经形成了闽台间转移与承接的合作模式。福建省通过承接台湾信息产业转移获得了极大的发展机遇,然而也正是在承接台湾信息产业的过程中凸显出了福建信息产业发展的不足。闽台信息产业实现深度对接应通过营造良好投资环境、加强集群区域的产学研合作机制、鼓励大型自主投资项目和完善物流配送体系等,以提升闽台信息产业的转移与承接质量,促进两地经济和谐发展。     

Examining transformational leadership,job satisfaction,organizational commitment and organizational trust in Turkish hospitals: public servants versus private sector employees

Leadership, job satisfaction, organizational commitment and trust have become important processes for healthcare management in recent years. One of the contemporary human resource management functions in the organizations involves engaging in leadership development, improving organizational trust and organizational commitment and increasing job satisfaction. Considering the rapidly changing healthcare technology and higher levels of occupational complexity, healthcare organizations are increasingly in need of engaging in leadership development in any given area of expertise to address ever-changing nature of the industry and the delivery of quality of care while remaining cost-effective and competitive. This paper investigates the perceptions of both public servants and private sector employees (outsourcing) on transformational leadership, organizational commitment, organizational trust and job satisfaction in Turkish healthcare industry. Additionally, the paper analyzes the predictability of organizational commitment based on employee – both public servants (physicians, nurses, administrative personnel and other healthcare professionals) and private sector employees (outsourcing) (auxiliary services such as administrative assistants, security personnel, kitchen, laundry and housekeeping employees) – perceptions of transformational leadership, job satisfaction and organizational trust. Using a survey instrument with items adopted from the transformational leadership inventory (TLI) [Podsakoff, P. M., MacKenzie, S. B., Moorman, R. H., & Fetter, R. (1990). Transformational leader behaviors and their effects on followers' trust in leader, satisfaction, and organizational citizenship behaviors. Leadership Quarterly, 1, 107–142], the organizational commitment questionnaire [Meyer, J. P., & Allen, N. J. (1997). Commitment in the workplace: Theory, research, and application. Thousand Oaks, CA: Sage], the organizational trust inventory (OTI) [Cummings, L. L., & Bromiley, P. (1996). The occupational trust inventory (OTI): Development and validation. In R. Kramer & T. Tyler (Eds.), Trust in organizations: Frontiers of Theory and Research (pp. 302–330). Thousand Oaks, CA: Sage] and job satisfaction survey (JSS) [Spector, P. E. (1985). Measurement of human service staff satisfaction: Development of the job satisfaction survey. American Journal of Community Psychology, 13, 693–731], this quantitative study was conducted among 2108 healthcare employees (public servants and private employees) in two large government hospitals in Turkey. The study findings indicate a significant difference between the public servants and private sector employees in terms of their perceptions on two dimensions of transformational leadership (being an appropriate model, providing individualized support), overall transformational leadership and one dimension of job satisfaction (communication). The two dimensions of job satisfaction – operating procedures and communication – as well as organizational trust were the significant predictors of organizational commitment of public servants, whereas the two dimensions of leadership – individualized support and fostering the acceptance – as well as the two dimensions of job satisfaction – promotion and contingent rewards – and organizational trust were the significant regressors of organizational commitment of private sector employees. In addition, there is a significant difference between the predictors of the dimensions of organizational commitment (transformational leadership, job satisfaction and organizational trust) in terms of public servants versus private sector employees. Finally, organizational trust has a significant effect on overall organizational commitment as well as its three dimensions for public servants and private employees.     

The modified Huang’s cost model for process optimization

In 2001, Huang presented the problem of determining the optimum process mean and standard deviation based on considering the trade-off relationship between the process adjustment cost and the quality loss of product. They considered the normal quality characteristic and adopted the quadratic quality loss function for measuring the product quality. In this paper, we further propose the problem of process optimization and reconsider the modified Huang’s model under the specified process capability index value for determining the optimum process parameters. The symmetric quadratic, asymmetric quadratic, and asymmetric linear quality loss functions will be adopted for evaluating the product quality. Finally, the numerical example and the sensitivity analysis of parameters will be provided for illustration.     

Tracking innovation: The need for reliable measures of its presence and effects

It is generally accepted that innovation is an essential ingredient of corporate success and, when pervasive, strengthens the economy while warding off foreign competition. Many point to a perceived weakening of this process in U.S. firms as a contributing factor to the steady decline of productivity growth vital to our nation's stability. They clamor for government programs to encourage technical venturing, embracing the “R & D hypothesis” which declares that privately sponsored research is the wellspring of innovation, and thus the key to a producer's prosperity — leading to more vigorous industries.In response, Washington is seeking ways to spur private spending on R & D during this era of diminished Federal backing for research. Such initiatives are handicapped by a lack of data establishing the existence and extent of the apparent slump in industrial creativity. Also there is scant information available to management that demonstrates a close correlation between fortunes of the firm and activities characterized as innovations. Without such evidence, business appears reluctant to abandon its cautious attitude towards support of R & D that cannot be readily commercialized.Little is known about innovation's economic impact or bearing on the survival of an enterprise. The connection between industrial research and the launch of desirable products is too abstruse to permit the assumption that in-house R & D inevitably spawns viable innovations. We do not have data which permit rational decisions for the effective management of innovation by firms, or the design of a workable model for the process. This information gap has a deleterious effect in industries traditionally dependent upon research, and leads to strategies — aimed at fostering innovation — that are inadequate, badly timed or ill conceived.An innovation stems from a series of management decisions motivated by the quest for profits and tempered by industry conditions — government incentives notwithstanding. Companies pay for R & D which promises revenues that would not otherwise appear, and back a new product when the expected return is comparable to that from less risky alternative investments. They require an easily administered method for verifying, in accounting terms, the outcome of an innovation so its contribution to profits can be contrasted with the yield from product improvements or line extensions. Management could then weigh a proposed innovation the same way it evaluates other commitments.Authors of public policy need to monitor the pace of innovation on a regional or national scale so that they can determine when stimulants are called for — to restore this activity to the desired level. The traditional indices of innovation's intensity are imprecise, and misleading if the purpose be to identify a trend. “R & D expenditures” must be viewed with circumspection for they are not always incurred in pursuit of innovations, especially with increasing outlays for compliance with government regulations. “Patents awarded” or “technical articles published” are scant proof of seminal activity, and “government contracts awarded” is not a useful statistic. A true “index of innovation” is needed to guide public policy — one founded on data tied to the launching of products.In conclusion, this article suggests a technique for quantifying innovation inside the firm, as a planning tool of management and to provide the data base for a meaningful “index of innovation”. It describes the index, to be derived from data reported by a representative sample of geographically dispersed companies. A procedure is outlined for generating such data in firms, collecting it by a central authority, and calculating the index.     

Technology Flows Matrix Estimation Revisited

This paper revisits the methodological problems of estimating matrices showing how technological advances--measured by industry research and development outlays--flow from industries of origin to using industries. An early effort relied upon the analysis of 15 112 US patents. Several alternative methods are explored to address methodological questions concerning the choice of carrier matrices, the handling of diagonal elements, and the treatment of capital goods flows. Technology flow matrices estimated using diverse combinations of assumptions are tested for goodness-of-fit relative to the original patent-based matrix and for their ability to "predict' productivity growth in Solowian regression equations. Although some anomalies emerge, the best results are obtained using combined first-order transactions and capital flows matrices with diagonal elements adjusted to reflect the ratio of internal process to all R&D spending. However, flow data compiled using the Leontief inverse matrix add explanatory power in productivity growth regressions.     

Contributions and Channels of Interindustry R&D Spillovers: An Estimation for Japanese High-tech Industries

This paper estimates the contributions of R&D spillovers to four high-tech industries in Japan—general machinery, electrical machinery, transportation machinery and chemicals—by estimating the trans-log cost and share functions that include the R&D stock variables of own and spillover-source industries. The candidates for spillover- source industries are selected on the basis of large R&D flow or R&D proximity. The R&D flow measures the spillover embodied in purchased intermediate goods using input–output coefficients. The R&D proximity measures the extent of similarity between a pair of industries of the distribution of R&D expenditures across research fields, and is expected to show the likelihood of spillover at the R&D stage. The results suggest that electrical machinery benefited from R&D in the chemical industry, through the purchase of intermediate goods, whereas general machinery and transportation machinery benefited from R&D in the metal products industry, through R&D proximity. There was no evidence of the chemical industry benefiting from R&D spillovers. These results clearly imply that the contributions and the channels of R&D spillovers are diverse, casting doubt on earlier studies that used weighted sums of R&D expenditures (or their stocks) of other industries as aggregate spillover variables.     

Methodological criteria for the internal validity and utility of practice oriented research

For conducting practice oriented research different research strategies are available. In this paper a typology is developed for differentiating between practice oriented research strategies that are data based and participatory research strategies. The former category involves quantitative and qualitative data based research strategies. The latter category, participatory research strategies, includes knowledge based research and practice based research. At present, methodological criteria for assessing the quality of practice oriented research heavily rely on those developed for theory oriented research, in particular internal and external validity and reliability. However, we argue that for assessing the results of practice oriented research other criteria are necessary. In this paper, methodological criteria are formulated for evaluating the internal validity and practical utility of practice oriented research with the help of a Delphi study using research methodologists as experts. They agree upon the criteria of verifiability, comprehensibility and acceptance of the results, as well as holism. Moreover, different categories of participatory and data based research strategies are compared to these criteria. Practice based research and qualitative data based research are best equipped to fulfill these criteria. These findings may enable researchers to make a more deliberate choice for a specific research strategy in practice oriented research.     

基于工序能力的质量成本优化方法

对质量成本进行了系统分析,建立了质量成本分析与工序能力的联系,提出了定量表示和优化方法,并提供了有关参数的算法。     

Interindustry R&D Spillovers for Electrical and Electronic Products: The Canadian Case

This paper estimates the effects of interindustry R&D spillovers on the cost and production structure for 10 Canadian manufacturing industries. Because of their high-tech nature and productivity performance, spillovers from electrical and electronic products are distinguished from other spillover sources. Generally, spillovers from electrical and electronic products generate cost reductions and render production processes for Canadian manufacturing industries more capital intensive (i.e. either more physical or R&D capital intensive). Social rates of return for R&D capital are calculated for all 10 industries. The social rates are 5–11 times greater than are the private rates. Indeed, the social rates are high for all the industries. This implies that the electrical and electronic products industry is an important interindustry spillover source but, like other industries, a major spillover-using industry.     

CPA-Firm Merger: An Investigation of Audit Quality

It would be interesting to know how the theories and hypotheses in auditing developed for a mature economy work in an emerging market. This paper uses the merger of Diwan, Ernst & Young and J.T. Lai & Co., CPAs in Taiwan in 2000 as a target to study the effects of a CPA-firm merger on audit quality, measured by discretionary accruals. Diwan, Ernst & Young and J.T. Lai & Co., CPAs belonged to Big 5 and non-Big 5 CPA firms in Taiwan, respectively, before they merged. The magnitudes of the increased size and reputation caused by the merger are different between the two firms. Therefore, we also analyse whether the merger has different effects on audit quality of these two firms. The empirical evidence shows that after the merger, the discretionary accruals of the two firms' clients significantly decrease. In addition, the magnitude of the change is greater for the clients of J.T. Lai & Co., CPAs than for those of Diwan, Ernst & Young. The results are consistent with predictions of both size and reputation effect hypotheses.     

提高渔业船员培训质量的研究

我国是渔业大国,作为我国众多产业中的重要组成部分,是很多人赖以生存的重要行业,也正是基于此行业的特殊性,相关从业人员的培训也就显得尤为重要,因为海上的情况复杂多变,船员需要具备的除相关的从业技能之外还要有能力应对处理海上多变的环境,另一方面,相关从业人员的素质高低也能够对海洋环境造成不同的影响。