Standardization Process of Systems Technologies: Creating a Balance between Competition and Cooperation

Many firms are experimenting with how to standardize new technologies. They may use proprietary technologies for their products and services, and let them compete in the market selection. Alternatively, they can cooperate to jointly set a standard and experiment with combinations of market process and cooperation. If firms let the market decide, they can compete with technologies and need not invest time and effort in hammering out a standard. If they do incur the costs of negotiated standardization, they may enable end users to realize the benefits of standards. A hybrid standardization process combines the advantages of both market selection and negotiated decision making. This paper presents a contingency framework to identify conditions that will affect the preferred standardization process for vendors who introduce new technologies. A major contingency that this paper points to is the systemic nature of technologies in information and communication technology industries. The more systemic the technology is (in a way to be clarified), the less likely that firms will establish a hybrid standardization process. One advantage of decomposing technology systems in smaller components (modules) is that this approach enables firms to combine market selection with negotiated selection of standards.     

Early evidence of an adverse selection death spiral? The case of Blue Cross and Blue Shield

This paper uses a unique data set from 1957 to examine whether or not Blue Cross and Blue Shield suffered from an adverse selection death spiral after for-profit commercial insurance companies entered the market for health insurance. Results suggest that moving to experience rating may have helped the Blues counteract adverse selection in the group health insurance market. Adverse selection posed a greater problem for the Blues in the market for individual health insurance, possibly because of differences in the way the Blues screened potential enrollees relative to commercial insurance companies.     

Protection versus Promotion: An Empirical Investigation

Using Turkish industry-level data from 1983 to 1990, we find that politically organized industries receive both higher protection and promotion than unorganized ones. Tariff rates are decreasing (increasing) in the import-penetration ratio and the absolute value of the import-demandelasticity for organized (unorganized) industries. Subsidy rates are decreasing (increasing) in the output-supply elasticity for organized (unorganized) industries. The results are consistent with the predictions of the Grossman–Helpman model and its extension in this paper. The mix of protection and promotion is inversely related to the ratio of their respective marginal deadweight cost measures.     

A note on price futures versus revenue futures contracts

Here we consider the hedging roles of a price futures contract versus a revenue futures contract. In the absence of idiosyncratic output risk, the revenue contract almost always dominates the price contract. Idiosyncratic output risk provides conditions under which the price contract should dominate. When production risk is largely idiosyncratic, a producer with an anticipated long actuals position might combine a long revenue futures position with a short price futures position. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:503–512, 2004     

SUPPLY CHAIN INFORMATION SHARING IN A VENDOR MANAGED INVENTORY PARTNERSHIP

Vendor Managed Inventory (VMI) involves the vendor making the replenishment decision for products supplied to a customer based on various inventory and supply chain policies. Information sharing between supply chain members is required in VMI. Sometimes VMI decisions are delayed and/or the information shared is inaccurate. This research examines the effects of information delay and accuracy, and the sharing of sales and forecast information in a VMI environment facing stationary and nonstationary demand. The simulation experiments show the impact of information delay, information inaccuracy, and information sharing on a variety of performance measures, including inventory levels and fill rates.