A note on “Bed allocation techniques based on census data”

Capacity planning and resource allocation are crucial to the cost-effective delivery of health care services. In this paper, we present an analytic approach based on a modified version of the Holt-Winters multiplicative seasonality forecasting model to determine the frequency distribution associated with a hospital care unit's census. This paper is a follow-up to the census frequency distribution simulation model described in Lapierre et al. (Socio Econ. Plan. Sci. 33 (1999) 25). We demonstrate that our model can provide census frequency distributions equivalent to the simulation model of Lapierre et al. [1], but without the computational effort common to simulation models.     

Comparing the impacts of Internet technology and national culture on online usage and purchase from a four-country perspective

The Internet has successfully generated an ever-expanding cohort of users for all its major concomitant activities, including information gathering, communications and transactions. So far no attempt has been made to validate whether such a success is so deep as to transcend national cultures. Nor any work has been conducted to compare the internationalisation¹ performances between online usage activities. The current study addresses these two research gaps from the perspective of four countries, i.e. Britain, Germany, Japan and Taiwan. Results show that although the technological forces have been quite successful in internationalising overall online usage activities, they succumb to the cultural forces as far as only the transactions activity, or more colloquially online purchase, is concerned. This indicates the relative difficulty in internationalising online purchase vis-à-vis other online usage activities. Further research on locating a series of step functions or kick-off time points regarding the development of online purchase is suggested.     

Membership has its privileges: the effect of social capital and neighbourhood characteristics on the earnings of microfinance borrowers

In this paper we examine the determinants of self-employment success for microcredit borrowers. Theories of social capital and neighbourhood effects are integrated in an attempt to account for earnings differentials among a unique sample of microfinance borrowers. We posit that social capital – social relations that facilitate individual action – is essential for microentrepreneurial success. Based on a survey and data collected by the authors, it is demonstrated that social capital is a positive determinant of self-employment earnings. The role that neighbourhoods play in fostering social capital and improving microentrepreneurial performance are also highlighted. JEL classification: J23, O17, Z13     

On Labour Market Policies and Aggregate Unemployment Outflows

This paper is interested in the modelling of the relationship between active and passive labour market policies and the aggregate unemployment outflow rate. Our model is based on a matching function and includes a simple representation of the competition between various groups of job searchers. The empirical analysis uses Belgian data. Faced with variables that are often integrated of order 1 according to the usual tests but which cannot strictly speaking be integrated, we contribute to an important methodological debate by comparing the conclusions of a classical econometric analysis and a cointegration approach.     

Multinational Companies,Technology Spillovers and Plant Survival*

How does the presence of multinational companies affect plant survival in the host country? We postulate that multinational companies can impact positively on plant survival through technology spillovers. We examine the nature of the effect of multinationals using a Cox proportional hazard model, which we estimate using plant‐level data for Irish manufacturing industries. Our results show that the presence of multinationals has a life‐enhancing effect only on indigenous plants in high‐tech industries, suggesting the presence of technology spillovers. In contrast, multinationals compete with each other in low‐tech sectors in the host country.     

Strategizing through analyzing and influencing the network horizon

How does a firm keep on being valuable in a network? One requirement is that the firm has a sufficient overview of the network and its dynamics. In other words, a firm's strategy depends on the firm's overview of the network—its network horizon. How comprehensive or limited should its network horizon be? Is it necessary to know the network beyond the direct counterparts? Such issues have not received much attention. In this article, we discuss network horizons and argue that limited network horizons are both inevitable and useful. However, such myopia requires that a firm's counterparts effectively and efficiently mediate between the firm and the rest of the network. Based on a case study, we introduce and discuss three mediating functions of counterparts: a joining, a relating, and an insulating function, and we claim that in order to support a firm's strategizing, managers need to analyze and influence counterparts' mediating functions and thereby the firm's network horizon.     

A conceptual model of corporate moral development

The conceptual model presented in this article argues that corporations exhibit specific behaviors that signal their true level of moral development. Accordingly, the authors identify five levels of moral development and discuss the dynamics that move corporations from one level to another. Examples of corporate behavior which are indicative of specific stages of moral development are offered.R. Eric Reidenbach is Professor of Marketing and Director of the Center for Business Development and Research at the University of Southern Mississippi. He has written extensively on business and marketing ethics.Donald P. Robin, Professor of Business Ethics and Professor of Marketing at the University of Southern Mississippi, is coauthor with R. Eric Reidenbach of two recent books on business ethics with Prentice-Hall. He is a frequent lecturer on business ethics and is the author of several articles on the subject.     

The negative trade-off between risk and incentives: Evidence from the american whaling industry

This paper analyzes the trade-off between risk and incentives in the share contracts of the American whaling industry. Using a newly collected panel of 5378 individuals who sailed on more than 1000 whaling voyages from 1855–68, the response of sailors’ compensation to an increase in risk is estimated. The risks used to identify this response resulted from the commerce-raiding naval vessels of the Confederacy during the Civil War. As the Confederate cruisers sailed primarily in the Atlantic, and therefore posed far less of a threat to whaling voyages to other oceans, a quasi-experimental approach focusing on the differences between Atlantic voyages compared to others is implemented. The results are consistent with a negative trade-off between risk and incentives in the industry’s contracts. Moreover, evidence is found of selection among less risk-averse sailors and merchants into riskier voyages during the war.     

Multiple generation product life cycle predictions using a novel two-stage fuzzy piecewise regression analysis method

Product life cycle (PLC) prediction plays a crucial role in strategic planning and policy definition for high-technology products. Forecast methodologies which can predict PLCs accurately can help to achieve successful strategic decision-making, forecasting, and foresight activities in high-technology firms, research institutes, governments, and universities. Over the past few decades, even though analytic framework strategies have been proposed for production, marketing, R&D (research and development), and finance, aiming at each stage of PLCs, forecast methodologies with which to predict PLCs are few. The purpose of this research is to develop a novel forecast methodology to allow for predictions of product life time (PLT) and the annual shipment of products during the entire PLC of multiple generation products. A novel two-stage fuzzy piecewise regression analysis method is proposed in this paper. In the first stage, the product life-time of the specific generation to be analyzed will be predicted by the fuzzy piecewise regression line that is derived based upon the product life-time of earlier generations. In the second stage of the forecast methodology, the annual shipment of products of the specified generation will be predicted by deriving annual fuzzy regression lines for each generation, based upon the historical data on the earlier generations' products. An empirical study predicting the life-time and the annual shipment of the 16 Mb (Mega bit) DRAM (Dynamic Random Access Memory) PLC is illustrated to validate the analytical process. The results demonstrate that two-stage fuzzy piecewise regression analysis can predict multiple generation PLT and PLC precisely, thereby serving as a foundation for future strategic planning, policy definitions and foresights.