The impact of mentoring quality on protégés' organization‐based self‐esteem and proactive behavior: The moderating role of traditionality

Based on self‐consistency theory, this study examined the relationship between mentoring quality as perceived by protégés and protégés' proactive behavior. It focused on the mediating role of organization‐based self‐esteem (OBSE) and the moderating role of traditionality. To examine these relationships, we administrated three‐wave surveys to 237 subordinate–supervisor dyads in a construction enterprise. The results of hierarchical linear modeling demonstrated that (a) mentoring quality and proactive behavior had a positive relationship; (b) OBSE mediated this relationship; and (c) traditionality strengthened both the relationship between mentoring quality and OBSE and the indirect effect of mentoring quality on proactive behavior via OBSE. Our findings have theoretical and practical implications for research on mentoring and proactive behavior.     

Design and development of inventory knowledge discovery system

Inventory management (IM) performance is affected by the forecasting accuracy of both demand and supply. In this paper, an inventory knowledge discovery system (IKDS) is designed and developed to forecast and acquire knowledge among variables for demand forecasting. In IKDS, the TREes PArroting Networks (TREPAN) algorithm is used to extract knowledge from trained networks in the form of decision trees which can be used to understand previously unknown relationships between the input variables so as to improve the forecasting performance for IM. The experimental results show that the forecasting accuracy using TREPAN is superior to traditional methods like moving average and autoregressive integrated moving average. In addition, the knowledge extracted from IKDS is represented in a comprehensible way and can be used to facilitate human decision-making.     

Behaviour of intra-daily stock return on an Asian emerging market - Hong Kong

This study examines the intra-daily return behaviour of one of the most open Asian emerging markets - Hong Kong. It is found that there is a general increase in the positive skewness and kurtosis of all the intra-daily returns after the 1987 October crash and the distributions of all the returns have become non-normal after the crash. There seems to be more day-of-the-week and time-of-the-day variations in the post-crash period than in the pre-crash period. There also exists some day-end effect in both of the periods and such a day-end effect seems to be related to the day of the week.     

Consumption and exchange rate uncertainty: Evidence from selected Asian countries

We set out to assess the effects of exchange rate uncertainty on real consumption in selected Asian countries. Consumption influences business cycles, which in turn shape short-run monetary policy decisions. Hence, understanding factors driving consumption is appealing to policymakers. To date, few studies have analysed the effects of uncertainty on consumption. The available ones generally focus on the long-run effects, in spite of the fact that the short-run persistence and adjustments to equilibrium are equally relevant. Our study takes these limitations seriously by distinguishing the short- and long-run effects of exchange rate uncertainty on consumption. Using a flexible dynamic panel data technique that allows long-run effects to be homogeneous and the short-run effects to be heterogeneous, we find that uncertainty impedes consumption in the long run. In the short run, however, the effects are immaterial. This evidence remains robust to the measure of uncertainty, asymmetric uncertainty, inflation and the global financial crisis of 2008. By decomposing uncertainty into its temporary and permanent components, we find that the latter have a stronger effect on consumption in the long run than the former. Although both components demand policy attention, the evidence suggests that policymakers should be more concerned with permanent uncertainty.     

The risks connected with accidents on highways and railways

Quality & Quantity - Safety in an integral sense is a comprehensive tool by which the humans ensure the level of their security and the sustainable development of them and of other basic public...     

Corporate Social Responsibility,Firm Value and Corporate Governance Code Revisions: The Asian Evidence*

The present study examines the relationship between corporate social responsibility (CSR) and firm value, and the effects of corporate governance code revisions on the relationship. We examine this relationship for: (i) a high‐income country, Japan; (ii) middle‐income countries China, Malaysia and Thailand; and (iii) low‐income countries India and Indonesia. We use the Heckman two‐stage sample selection bias approach for the empirical analysis. We find that Japanese stakeholder CSR and environmental CSR have a smaller positive effect on firm value compared to the middle‐income countries, but we do not find any statistically significant association for the low‐income countries. In addition, we find that only Japanese corporate governance code revisions significantly contribute to the positive relationship between CSR and firm value, which concurs with the new recommendations documented in the revised codes of corporate governance. The present study reveals that foreign major shareholders matter to the value creation of CSR in Japan and the middle‐income countries of China, Malaysia and Thailand.     

Intraday information efficiency on the Chinese equity market

Bid-ask spread is a direct measure of information asymmetry. As such, it can be used to evaluate information efficiency. In this paper, we show that both the quoted and effective spreads on the Shanghai Stock Exchange are extremely high at the open, decrease over the trading day, and experience a small rebound at the close. The spread decreases with share volume, daily trades, and market capitalization, but increases with average trade size. We further examine the beta using the unbiasedness regression from Biais et al. [Biais, B., Hillion, P., Spatt, C. (1999). Price discovery and learning during the pre-opening period in the Paris Bourse. Journal of Political Economy, 107, 1218–1248] and find that intraday prices are efficient and unbiased for more liquid stocks. This suggests that liquidity prompts information-motivated trading, which, in turn, improves information dissemination. Moreover, our findings indicate that small and medium trades are more likely to facilitate the formation of efficient prices at the open and close of the market, while large trades play a more important role during the other trading periods.     

Economic design of an chart for short-run production

The aim of this paper is to present an economical design of an X chart for a short-run production. The process mean starts equal to μ₀ (in-control, State I) and in a random time it shifts to μ₁>μ₀ (out-of-control, State II). The monitoring procedure consists of inspecting a single item at every m produced ones. If the measurement of the quality characteristic does not meet the control limits, the process is stopped, adjusted, and additional (r-1) items are inspected retrospectively. The probabilistic model was developed considering only shifts in the process mean. A direct search technique is applied to find the optimum parameters which minimizes the expected cost function. Numerical examples illustrate the proposed procedure.     

Estimating fixed-effect panel stochastic frontier models by model transformation

Traditional panel stochastic frontier models do not distinguish between unobserved individual heterogeneity and inefficiency. They thus force all time-invariant individual heterogeneity into the estimated inefficiency. Greene (2005) proposes a true fixed-effect stochastic frontier model which, in theory, may be biased by the incidental parameters problem. The problem usually cannot be dealt with by model transformations owing to the nonlinearity of the stochastic frontier model. In this paper, we propose a class of panel stochastic frontier models which create an exception. We show that first-difference and within-transformation can be analytically performed on this model to remove the fixed individual effects, and thus the estimator is immune to the incidental parameters problem. Consistency of the estimator is obtained by either N→∞$N\to \infty$ or T→∞$T\to \infty$, which is an attractive property for empirical researchers.