Enterprise Bargaining and Productivity in Australia: What do We Know?

There appears to be widespread consensus, at least in industry and government, that enterprise bargaining has been beneficial for productivity. Many academics, however, have argued that the link between bargaining structure and workplace productivity is a contentious one, and that research has been unable to establish a relationship. The present paper re-examines the existing evidence. The review reinforces the need to exercise caution before asserting that enterprise bargaining is necessarily beneficial for workplace productivity. The main conclusion that emanates from this review, however, is not the absence of a clear-cut finding, but how poorly developed the relevant research literature is.     

The Determinants of Enterprise Risk Management: Evidence From the Appointment of Chief Risk Officers

Enterprise risk management (ERM) has captured the attention of risk management professionals and academics worldwide. Unlike the traditional "silo-based" approach to corporate risk management, ERM enables firms to benefit from an integrated approach to managing risk that shifts the focus of the risk management function from primarily defensive to increasingly offensive and strategic. Despite the heightened interest in ERM, little empirical research has been conducted on the topic. This study provides an initial attempt at identifying the determinants of ERM adoption. We construct a sample of firms that have signaled their use of ERM by appointing a Chief Risk Officer (CRO) who is charged with the responsibility of implementing and managing the ERM program. We use a logistic regression framework to compare these firms to a size- and industry-matched control sample. While our results suggest a general absence of differences in the financial and ownership characteristics of sample and control firms, we find that firms with greater financial leverage are more likely to appoint a CRO. This finding is consistent with the hypothesis that firms appoint CROs to reduce information asymmetry regarding the firm's current and expected risk profile.     

Satisfaction drivers for Internet service technology among stock brokerage customers in Thailand

Many financial services firms are offering the Internet as a self-service technology (SST), for online stock trading, in an effort to increase effciency and give customers greater access. It is important to understand how this technology will influence customer satisfaction. This paper reports results of exploratory research to identify sources of customer satisfaction and dissatisfaction with the service encounter in Thai stockbrokerage firms. Results show that customers and service providers determine sources of customer dis/satisfaction differently, depending on whether the service encounter is technology-based or interpersonal. Different customer profiles give rise to segmentation in response to the use of Internet technology in this industry.     

Setting operating policies for supply hubs

This paper deals with the joint management of operations at the supply hub for the customer and the upstream supplier. Different operating conditions are considered, namely, backordering, minimum and maximum specified inventory levels. Some analytical insights on better managing suppliers operating under a vendor managed inventory program are presented. Essentially, we show that the penalty cost imposed on over- and under-stocking, and the min–max policy for hub inventory reside in the power of the hub operator. The relationship between supply hub policy and performance measures is quite complex and non-linear in nature. We suggest a structured hierarchical approach which can help supply hub in achieving balance between various parties involved in chain. A numerical example and an algorithm are included to highlight this result.     

On the Statistical Significance of Event Effects on Unsystematic Volatility

We develop a method for determining the significance of the effect of a certain event (stock split, corporate restructuring, change in regulation, etc.) on unsystematic volatility of asset returns. Simulations show that the suggested tests reject the true null hypothesis of no effect on volatility at appropriate levels, whereas the rejection rates of a false null hypothesis increase with the magnitude of the effect. An application of the method to corporate spin‐offs reveals statistically significant and long‐lasting estimated increases in unsystematic volatility of parent companies' returns.