Mapping the benefits and costs associated with process innovation: The case of RFID adoption

The successful implementation of any innovation requires an understanding of its benefits and costs. This study examines the changes in the magnitude of costs and benefits associated with technology process innovation adoption as the innovation diffuses across different industries. Using RFID as an exemplar technology, the study shows that the magnitude of benefits and costs associated with technological process innovation adoption within different industries varies as technology diffuses beyond early adopters to the early majority. During the early stages of technology evolution, the development cost, the cost of capital, ethical costs and simple direct implementation costs (in the form of the cost of tags) predominate. As a dominant design emerges the profile of costs changes with the emphasis on initiation costs, more holistic direct implementation costs and indirect implementation costs. A similar change in the emphasis of benefits is observed, with a shift from direct to indirect benefits being noticeable as the technology moves from early adopters to early majority adopters. Our findings help to explain the difficulties in consistently measuring innovation outcomes observed in the innovation implementation literature, and emphasize the need to take into consideration the stage of technology development as a significant factor that influences the realised outcomes from innovation implementation.     

Trade Liberalisation and Economic Performance: Theory and Evidence for Developing Countries

The last five decades have witnessed a profound evolution of economic policy in developing countries, particularly in the case of trade strategies. Both internal, as well as external, factors have prompted the need for more outward‐oriented (or liberalised) trade policy regimes. The creation of the General Agreement on Tariffs and Trade (GATT) in 1947 and the World Trade Organisation (WTO) in 1995 have been important driving forces for free trade. Since then, the major quantitative barriers to trade, i.e. tariffs and non‐tariff barriers (quotas, licences and technical specifications, among other restrictions), have substantially been reduced or dismantled. Also, the progress towards more liberalised trade regimes, mainly in developing countries, has been manifested in the trade and development literature. Major studies suggest that the performance of more outward‐oriented economies is superior to that of those countries pursuing more inward‐looking trade practices (Greenaway and Nam, 1988; Dollar, 1992; Sachs and Warner, 1995; and Rodríguez and Rodrik, 2000). Recent developments in the international trade literature focus on the potential dynamic effects of trade liberalisation, i.e. simplification of tariff structures and elimination of non‐tariff barriers, in reducing the incentives to rent seeking and in accelerating the flow of technical knowledge from the world market. Moreover, there have been important advances regarding the study of trade liberalisation and its impact on exports, imports and the balance of payments, largely neglected in the literature, often driven by supply‐side considerations.     

Utility Functions

Abstract

This article is a self-contained survey of utility functions and some of their applications. Throughout the paper the theory is illustrated by three examples: exponential utility functions, power utility functions of the first kind (such as quadratic utility functions), and power utility functions of the second kind (such as the logarithmic utility function). The postulate of equivalent expected utility can be used to replace a random gain by a fixed amount and to determine a fair premium for claims to be insured, even if the insurer’s wealth without the new contract is a random variable itself. Then n companies (or economic agents) with random wealth are considered. They are interested in exchanging wealth to improve their expected utility. The family of Pareto optimal risk exchanges is characterized by the theorem of Borch. Two specific solutions are proposed. The first, believed to be new, is based on the synergy potential; this is the largest amount that can be withdrawn from the system without hurting any company in terms of expected utility. The second is the economic equilibrium originally proposed by Borch. As by-products, the option-pricing formula of Black-Scholes can be derived and the Esscher method of option pricing can be explained.     

Pricing Perpetual Options for Jump Processes

Abstract

We consider two models in which the logarithm of the price of an asset is a shifted compound Poisson process. Explicit results are obtained for prices and optimal exercise strategies of certain perpetual American options on the asset, in particular for the perpetual put option. In the first model in which the jumps of the asset price are upwards, the results are obtained by the martingale approach and the smooth junction condition. In the second model in which the jumps are downwards, we show that the value of the strategy corresponding to a constant option-exercise boundary satisfies a certain renewal equation. Then the optimal exercise strategy is obtained from the continuous junction condition. Furthermore, the same model can be used to price certain reset options. Finally, we show how the classical model of geometric Brownian motion can be obtained as a limit and also how it can be integrated in the two models.     

Pecking order as a dynamic leverage theory

Static tradeoff theories, which do not explicitly treat the impact of transaction costs, do not explain the policy of asymmetry between frequent small debt transactions and infrequent large equity transactions. Nor do these theories explain why the debt ratio is allowed to wander a considerable distance from its alleged static optimum, or how much of a distance should be tolerated. We offer a class of diffusion models that mimic this behaviour in a stochastic-dynamic framework and are designed to optimize a financing strategy using any static tradeoff theory as input. The models developed reveal the determinants of the size and frequency of equity transactions and the range of values over which leverage variations are tolerated in four generic scenarios. They also yield a new formulation of the cost of capital that recognizes stochastic transaction costs and a penalty for deviation from any static-optimal leverage. Our class of models augments the pecking order theory, provides a flexible quantitative framework for its implementation as a decision tool, and facilitates the formulation of additional hypotheses for its empirical validation. Symmetrically, our results show the importance of dynamic factors in designing and interpreting empirical tests of static tradeoff theories. The results presented have important implications for the role played by static tradeoff theories in a stochastic-dynamic framework. One such implication is that the static-optimal leverage has no direct effect on the firm's leverage policy in this setting. The target leverage for refinancing transactions is different from the static-optimal leverage, and the mean leverage is generally different from both. As a consequence, the latter cannot be used to estimate the former. Another implication is that even when the mean leverage equals the static optimum, mean reversion is not an optimal behaviour and therefore not a legitimate test for the existence of a static tradeoff in a dynamic context. Still another implication is that wide variations in leverage ratios cannot be interpreted as evidence of leverage indifference. It follows that the pecking order theory is consistent with static tradeoff theories and does not require the assumption of leverage indifference.     

An optimization approach to strategic sourcing: A case study of the United States Air Force

The DoD annually procures billions of dollars worth of systems, supplies, and services in support of the national military strategy. Faced with budget cuts and other resource constraints, the DoD must transform its procurement process to ensure cost-effective sourcing of critical supplies and services. One aspect of current transformation in the DoD is the use of a strategic sourcing approach for the procurement of services at military installations. Using the Air Force's strategic sourcing process as our context, we developed an optimization model for selecting a set of proposals from among multiple offerors for services to be performed at multiple installations. The selection achieves the most favorable objective by balancing the confidence level in an offeror's past performance with the cost of services to the Air Force. The research findings, which are based on a realistic scenario, demonstrate improvements over the current sourcing process in both overall performance and cost.