Images of the Virtuous Employee in China's Transitional Economy

We examine contemporary images of employee virtue and managers' perceptions of actual employee conduct in Wuhan, Beijing and Xi'an, drawing on document analysis and structured interviews with 112 respondents in ten case study companies. The image promulgation strategies of the one joint venture enterprise and the two private enterprises in our sample entailed active avowal of tradition linked employee virtue, drawing on a mixture of Communist and Confucian moral imagery. In contrast, most of the seven state-owned or predominantly state invested enterprises had abandoned or marginalized traditional Communist imagery, none promoted Confucian imagery, and two emphasized alternative images of one-sided servility toward the customer. We infer, from managers' accounts, that the abandonment of tradition linked images by the state-owned sector was a tacit acknowledgment of prior covenant violation, and that outside the state-owned sector, tradition linked moral propaganda contributed to moral atmosphere only when part of a consistent high-commitment HRM strategy. In drawing out implications for theory and further research, we note the different socio-political contexts of organizations in China and the West, discuss the relationship between bonds or covenants and psychological contracts, and compare tradition linked employee virtues with dimensions of organizational citizenship.     

Fuzzy Seasonal Time Series for Forecasting the Production Value of the Mechanical Industry in Taiwan

Based on the seasonal time series ARIMA(p,d,q)(P,D,Q)_s model (SARIMA) and fuzzy regression model, we combine the advantages of two methods to propose a procedure of fuzzy seasonal time series and apply this method to forecasting the production value of the mechanical industry in Taiwan. The intention of the article is to provide the enterprises, in this era of diversified management, with a fresh method to conduct short-term prediction for the future in the hope that these enterprises can perform more accurate planning. This method includes interval models with interval parameters and provides the possibility distribution of future value. From the results of practical application to the mechanical industry, it can be shown that this method makes good forecasts. Further, this method makes it possible for decision makers to forecast the possible situations based on fewer observations than the SARIMA model and has the basis of pre-procedure for fuzzy time series.     

Do Hispanic immigrants spend less on medical care? Implications of the Hispanic health paradox

ABSTRACT

The literature of the Hispanic heath paradox has found that in the U.S. Hispanic immigrants have better health than U.S. natives, even though they tend to have lower socioeconomic status. The main objective of the current study is to investigate whether Hispanic immigrants also use less medical care goods and services. Main contributions of the article include using a data set of older Americans from the Health and Retirement Study covering the period from 1992 to 2012 as well as using three new measures of health, rather than the more common use of morbidity or mortality. We estimate the impact of relevant factors including health, race, and immigrant status upon five different measures of healthcare usage. Even though Hispanic immigrants do have lower mean levels of most measures of healthcare usage, when controlling for other factors in our regressions we find some evidence of increased healthcare usage for Hispanic immigrants. Increased health care utilization may be one explanation for the Hispanic health paradox.     

Pro-poor growth and social protection in South Africa: Exploring the interactions

This study evaluates the impact of South Africa's long-term economic growth on household poverty and inequality between 1995 and 2005. We find a decline in aggregate levels of poverty, but increasing levels of inequality. The evidence suggests that the growth model provides substantial redistributive income support to the poor through the social grant programme, whilst offering few returns to those in the middle of the distribution.     

Combining conjoint analysis,scenario analysis,the Delphi method,and the innovation diffusion model to analyze the development of innovative products in Taiwan's TV market

In science and technology industries, innovative products are launched rapidly, making the lifecycle of new products ever shorter. Thus, it is important that companies understand consumers' needs and consider expert opinion when analyzing the development of a new technology. However, no studies have combined these two perspectives with regard to the development of a new product. Therefore, this research combined conjoint analysis, scenario analysis, and the Delphi method with the innovative diffusion model to analyze the development of Taiwan's TV market over the next 10 years. The results show that the outlook for demand for light-emitting diode (LED) TVs in Taiwan is very optimistic; sales of LED TVs will surpass sales of liquid crystal display TVs in 2015 in the optimistic scenario and in 2017 in the most likely scenario.     

Human identification with electrocardiogram

ABSTRACT

In recent years, due to the popularity of wearable and implantable devices, the application of electrocardiogram (ECG) recognition for human identification has become more and more feasible. ECG is an important biological signal, which can be used for the diagnosis of cardiovascular diseases. After more than 20 years of research, it has been established that the ECG signal is unique to individual. This article intends to summarize the previous algorithms and applications in ECG recognition for human identification, while introducing the concept, history, algorithm summary, hardware platform etc. In addition, we also discuss some important issues in order to provide a helpful guideline for future research.     

Clean development mechanism implementation: External and organizational factors drives expected business benefits

This study aims to deal with the challenge of rationalizing and testing the interrelationships assumptions of external and organizational factors in the case of clean development mechanism implementation. Prior studies are lacking to introduce the expected business benefits as a mediator between external factors and clean development mechanism implementation. The moderating effect of environmental resources was rationalized and evaluated. The data were collected from 130 ISO 14001 certified manufacturing firms and analyzed using the partial least squares technique. The results revealed that expected business benefits mediate the impacts of all considered external factors and cause an insignificant direct association between market pressure and mechanism implementation. Organizational resources moderate positively the impact of competitor pressure on mechanism implementation. The findings extend the literature by illustrating the dependency of external factors and organizational factors and challenging the results of the studies, which have been driven by independence assumption. The findings are enabling policy-makers and managers to effectively modify the strategies for enhancing the extent of mechanism implementation.