LOGISTICS SALIENCE IN A CHANGING ENVIRONMENT

The primary purpose of this paper was to empirically explore some of the reasons that logistics has become more important, or salient, in comparison to other functions within the firm. A survey of 296 managers across multiple industries in the U.S. found logistics becomes more important within the firm when the industry increases in uncertainty, when there is an emphasis on time‐based competition, when there is greater adoption of information technology, and when there is an emphasis on cross‐functional integration.     

THE SQUARED ORNSTEIN-UHLENBECK MARKET

We study a complete market containing J assets, each asset contributing to the production of a single commodity at a rate that is a solution to the squared Ornstein-Uhlenbeck (Cox-Ingersoll-Ross) SDE. The assets are owned by K agents with CRRA utility functions, who follow feasible consumption/investment regimes so as to maximize their expected time-additive utility from consumption. We compute the equilibrium for this economy and determine the state-price density process from market clearing. Reducing to a single (representative) agent, and exploiting the relation between the squared-OU and squared-Bessel SDEs, we obtain closed-form expressions for the values of bonds, assets, and options on the total asset value. Typical model parameters are estimated by fitting bond price data, and we use these parameters to price the assets and options numerically. Implications for the total asset price itself as a diffusion are discussed. We also estimate implied volatility surfaces for options and bond yields.     

International briefing 16: training and development in the Republic of Ireland

This paper explores the landscape of training and development in the Republic of Ireland, a country with an impressive economic record in recent years. Both the Irish economic context and business context are explored. The national system for training and development and the surrounding policy and strategy context are set down. Survey data are drawn upon to examine the nature of training and development at organizational level. Here influence on training and development, levels of expenditure, the number of days per employee category and the dominant methods employed training and development are all discussed. Finally the academic study of training and development in the Republic of Ireland is examined.     

The Effects of Occupational Injuries After Returns to Work: Work Absences and Losses of On-the-Job Productivity

We extend the research on postinjury employment by estimating productivity losses for workers with permanent partial disabilities (PPDs) in the first three years after injury. Our method distinguishes between productivity losses attributed to spells of work absence versus reduced earnings during spells of employment. The method is applied to data for 800 Ontario workers with PPDs. The results document large productivity losses persisting at least three years after injury, with different loss patterns for workers returning to stable versus unstable employment. Human capital investments or job accommodations can reduce productivity losses, but the significant determinants of losses differ for the stable versus unstable employment groups.     

Gentlemanly capitalism in New Zealand

This article responds to McAloon's contribution to this journal criticising the argument advanced by P.J. Cain and myself in British Imperialism . McAloon's research on Canterbury and Otago merits serious attention, but it is argued here that he is mistaken in claiming that it disproves the case we made for applying our concept of gentlemanly capitalism to New Zealand. Both the structure of 'settler capitalism' and the social characteristics of the settlers themselves provide a good fit with our interpretation. Nevertheless, McAloon deserves credit for putting this subject on the agenda, and it is to be hoped that other historians of New Zealand (and also of Australia) will now reconsider the relationship between the 'rules of the game' established by the imperial centre and the degrees of dependence experienced by the constituent parts of the empire.     

Estimating the Size of a Criminal Population from Police Records Using the Truncated Poisson Regression Model

The truncated Poisson regression model is used to arrive at point and interval estimates of the size of two offender populations, i.e. drunk drivers and persons who illegally possess firearms. The dependent capture–recapture variables are constructed from Dutch police records and are counts of individual arrests for both violations. The population size estimates are derived assuming that each count is a realization of a Poisson distribution, and that the Poisson parameters are related to covariates through the truncated Poisson regression model. These assumptions are discussed in detail, and the tenability of the second assumption is assessed by evaluating the marginal residuals and performing tests on overdispersion. For the firearms example, the second assumption seems to hold well, but for the drunk drivers example there is some overdispersion. It is concluded that the method is useful, provided it is used with care.     

Analysing Materials and Energy Flows in an Industrial District using an Enterprise Input–Output Model

Recent approaches to sustainable development leave much room for policies at a local level. In fact, it is becoming evident that targets such as increasing resource productivity, preserving natural cycles, or extending the present level of welfare, are best pursued within the confines of a local area. In particular, environmental changes are best brought about by considering local systems of firms as cornerstones of cooperative strategies and using data on materials and energy use in physical terms. In this paper, an enterprise input–output model is developed for an industrial district, i.e. a local group of firms specialized in the production of a single final output. The model allows for a detailed quantitative analysis of materials and energy flows and the consequent generation of waste and pollution. As a planning tool, the model may be used to evaluate alternative scenarios, such as the possibility of re- using waste taking account of sustainability requirements. An empirical case study applies the model to an industrial district in Southern Italy producing leather sofas.