Do Article 22 exemptions adequately stimulate investments in European gas markets?

Stimulating investments whilst introducing competition is a major policy issue for European gas markets. The current Article 22 exemptions regime, which is an application to the gas market of the access holiday theory, is designed to address this issue. Though useful, the access holiday theory provides an incomplete picture. In order to adequately analyze the exemptions regime, this paper incorporates the real options theory of investments into the analysis. Combining both theories provides the properties of an exemptions regime that better stimulates investments in gas. The current exemptions regime has some shortcomings, in particular regarding its risk criterion. A better exemptions regime would grant less exemptions, but if it does, allows higher profits during the exemption. Revised version of a paper presented at the European Doctoral Seminar on Natural Gas, State University, Moscow, November 24, 2007. I would like to thank the participants, especially Martin Gilman and Franz Hubert, as well as Koen Caminada, Ben van Velthoven and a referee of this journal for their comments and suggestions.     

The first decade of the Asia Academy of Management

This paper briefly reviews the history of the Asia Academy of Management, the official sponsor of the Asia Pacific Journal of Management. It is suggested that establishing the Asia Academy of Management is a response to the new challenges of the academic institutional environment, both in Asia and in the mainstream management research community. Judging from the achievements in terms of reputation in the region, publication citations, school rankings, and internal organizational development, this new venture has added significant value to the global academic community. The challenges facing the Asia Academy, however, include the need to attract more interested parties to actively involve in its activities, more genuine cooperation among Asian and non-Asian institutions, and a need to affirm the contributions of Asian management studies.

Customer and retailer rebates under risk aversion

In a supply chain setting, we analyze a manufacturer's customer and retailer rebates, which are sales incentives offered to the end buyers and retailers, respectively. The performance of both rebates is influenced by the retailer's objective and response to the promotion due to his intermediary position in the channel. Earlier studies investigating rebates in distribution channels have traditionally assumed that the retailer is risk neutral with the objective of maximizing expected profits. In our paper, we consider a risk-averse retailer. We formally model risk aversion by adopting the Conditional-Value-at-Risk (CVaR) decision criterion. Using a stochastic and (effective) price dependent demand, we analyze the manufacturer's rebate amount decisions and the retailer's joint inventory and pricing decisions in a game theoretical framework. We provide several structural properties of the objective functions and show monotonicity of the retailer's decisions in the degree of risk aversion. For the case of retailer rebates, we characterize the unique equilibrium, and for the case of customer rebates, we prove the existence of an equilibrium. Using numerical examples, we provide further insights on the impact of risk aversion. For example, given an exogenous wholesale price, we observe a threshold value on the retailer's risk-aversion parameter below (above) which the manufacturer is better off with retailer rebates (customer rebates); implying that the manufacturer's preferred rebate type can be different depending on whether the retailer is risk neutral or sufficiently risk averse.     

An economic-statistical design of double sampling control chart

The double sampling (DS) chart can reduce the sample size when monitoring the process mean. In this study, Duncan's cost model was modified by adding the statistical constraints to develop the design model of DS chart for the optimization of design parameters—sample size, control limit coefficient, warning limit coefficient and sampling interval. A numerical example was provided to illustrate the use of this model. A sensitivity analysis of the effects of model parameters and statistical constraints on the optimal design of DS chart was also performed.     

Order and inventory variance amplification: The equivalence of discrete and continuous time analyses

The well-known “Bullwhip Effect” concerns the increasing variance of orders as they proceed through the supply chain. In the continuous time representation we solve the delay-differential equation for the inventory balance, which is coupled to the ordering policy. The time domain evolution of the system emerges. We calculate the Bullwhip Effect and compare it to known results for the discrete time representation. The discrete and continuous Bullwhip Effect expressions have similar structures. We show that the two domains are managerially equivalent so that in practice either domain can be used to study a supply chain.