Managers’ Corporate Entrepreneurial Actions and Job Satisfaction

Through the development and extension of theories and scholars’ subsequent empirical analyses of significant, theoretically grounded research questions, the knowledge about corporate entrepreneurship (CE) and its successful use continues to advance. Moreover, the literature suggests important relationships between the corporate environment, managers’ entrepreneurial behavior and successful implementation of corporate entrepreneurship actions. In an attempt to test some of those relationships, we describe an empirical study of 523 managers that examines the relationships among the antecedents to managers’ entrepreneurial behavior, a decision to implement entrepreneurial actions, and resulting job satisfaction and reinforcement practices.     

A versatile and robust metric entropy test of time-reversibility,and other hypotheses

We examine the performance of a metric entropy statistic as a robust test for time-reversibility (TR), symmetry, and serial dependence. It also serves as a measure of goodness-of-fit. The statistic provides a consistent and unified basis in model search, and is a powerful diagnostic measure with surprising ability to pinpoint areas of model failure. We provide empirical evidence comparing the performance of the proposed procedure with some of the modern competitors in nonlinear time-series analysis, such as robust implementations of the BDS and characteristic function-based tests of TR, along with correlation-based competitors such as the Ljung–Box Q-statistic. Unlike our procedure, each of its competitors is motivated for a different, specific, context and hypothesis. Our evidence is based on Monte Carlo simulations along with an application to several stock indices for the US equity market.     

INTRODUCING MARKET FORCES INTO MANAGERIAL DECISION-MAKING IN CHINESE INDUSTRIAL ENTERPRISES

This paper focuses on the fundamental changes in the management of state enterprises that are taking place in China. Specifically, we discuss the expansion of enterprise autonomy and changes in the managerial decision-making structure. The genesis of the reform programme is traced back to inefficiencies caused by the over-centralized state planning system which reduced enterprise management to little more than an administrative function dominated by the Party secretary. As a consequence, managerial and technical cadres became demoralized and the growth of staff functions such as accounting, marketing and personnel management was stunted. From a series of experiments launched in 1978 has grown the realization that tinkering around with the state planning apparatus is insufficient to stimulate entrepreneurship and vigorous industrial expansion. Accordingly, reform has been launched on a broad front both within the state apparatus, in an endeavour to roll back external constraints on enterprise, and within the enterprise itself, by seeking to provide powerful incentives both to managerial cadres and workers through a system stressing individual responsibility and rewards commensurate with results. A number of severe constraints on the reform programme are analysed, in particular, the changing balance of power within the enterprise between the factory director, the Party secretary, the workers’congress and the trade union. Contradictions exist within the new structure of decision-making but, given a period of political stability and sustained economic growth, there should be sufficient surplus to mollify discontent and stifle those who refuse to give up their belief in the virtues of having‘politics in command’of the industrial enterprise.     

A curtailed test for the shape parameter of the Weibull distribution

Summary A procedure is proposed in this paper for testing the shape parameter, of the Weibull distribution. The test statistic which is based on the extremal quotient, possesses a monotone property which makes it possible for rejection earlier than the last planned observation of the null hypothesis,H ₀: =₀ when the alternative hypothesis isH _a: <₀ and early acceptance ofH ₀ whenH _a: >₀. The test being scale-free, does not require the scale parameter to be known.     

江西大型企业资本运作模式的现状及其改进对策研究

资本运作是一种有效配置资源、实现企业资本增殖的活动,其核心是产权制度创新。本文对江西大型企业资本运作模式的现状进行了分析,进而提出了一系列的合理的改进对策,以期提高起运作绩效。     

Inferences about the parameters of a time series model with changing variance

Summary We consider the problem of making inferences about the parameters of a time series model when there is the possibility of a discrete variance change at an unknown time point. For this we obtain the posterior distributions of the parameters and of the variance ratio.     

DISSIMILAR STRUCTURAL AND CONTROL PROFILES OF EDUCATIONAL AND TECHNICAL ORGANIZATIONS[1]

This article contrasts the characteristic structural and control profiles of educational organizations with those of technical organizations. A group of primary and secondary schools and the operating units of an industrial firm differed both in structural variables and in three activities of control: buffering, smoothing, and forecasting. the article suggests that educational organizations emphasize modes of control that operate on components peripheral rather than central to the organization's technical core.     

Remaining life estimation of used components in consumer products: Life cycle data analysis by Weibull and artificial neural networks

Environmental awareness and legislative pressures have made manufacturers responsible for the take-back and end-of-life treatment of their products. To competitively exploit these products, one option is to incorporate used components in “new” or remanufactured products. However, this option is partly limited by a firm's ability to assess the reliability of used components. A comprehensive two-step approach is proposed. The first stage phase statistically analyzes the behavior of components for reuse. A well-known reliability assessment method, the Weibull analysis, is applied to the time-to-failure data to assess the mean life of components. In the second phase, the degradation and condition monitoring data are analyzed by developing an artificial neural network (ANN) model. The advantages of this approach over traditional approaches employing multiple regression analysis are highlighted with empirical data from a consumer product. Finally, the Weibull analysis and the ANN model are then integrated to assess the remaining useful life of components for reuse. This is a critical advance in sustainable management of supply chains since it allows for a better understanding of not only service requirements of product, but the remaining life in a product and hence its suitability for reuse or remanufacture. Future work should assess: (1) reduction in downtime of process equipment through the implementation of this technique as a means to better manage preventative maintenance; (2) reduce field failure of remanufactured product; (3) selling-service strategy through implementation of the proposed methodology.