Capture and Dissemination of Specialized Knowledge in Network Organizations

I present a model for the capture and retrieval of organizational memory that can help overcome the information dissemination problem faced by network organizations. Network organizations are made of small, heterogeneous, product-oriented teams. In these organizations, the specialization of knowledge that has characterized functional hierarchies can be lost as the functional units in which this expertise was created and shared are dismantled. The preservation and dissemination of expert knowledge thus becomes a major issue to be addressed by these organizations, whose competitive advantage depends on this specialization. The problem of capturing project-related organizational memory is addressed with a 3 step solution: (a) the use of explicit work processes; (b) the development of models capable of representing these processes, the artifacts that are developed, and the rationale used during decision making; and (c) the implementation and deployment of computer tools that support the development processes selected and that, in doing so, record and document the project. I address the problem of accessing information from projects developed elsewhere in the organization and propose a solution based on monitoring the user's manipulation of information and creating hypotheses of his or her information needs. These hypotheses are then used as queries by a fuzzy information retrieval engine that produces a ranked list of documents that are suggested to the user as being relevant to his or her information needs. As the user manipulates these documents, the hypothesis is updated, triggering a new retrieval and the update of the list of suggested documents. The feasibility of the approach is demonstrated with the implementation of a prototype.     

Estimation of investment costs in fish processing plants

Investment costs for fish processing plants are hereby presented along with a detailed analysis of different types of processes in relation to economies of scale.The cost-capacity factor for fish industry is estimated as 0.84, except for fish meal plants where the cost-capacity factor is 0.61.It is also discussed how technology, capacity and location in developed and developing countries can affect investment costs for fish processing plants, while cost-capacity factors remain unchanged.The concept of minimum limit for industrial capacity is included. Investment costs for minimum size plants or plants below minimum size are even greater than what would correspond to the correlation line. This is due to the need to incorporate one or more oversized pieces of equipment.     

Forecasting exchange rates in transition economies: A comparison of multivariate time series models

This article compares the accuracy of vector autoregressive (VAR), restricted vector autoregressive (RVAR), Bayesian vector autoregressive (BVAR), vector error correction (VEC) and Bayesian vector error correction (BVEC) models in forecasting the exchange rates for five Central and Eastern European currencies (Czech Koruna, Hungarian Forint, Polish Zloty, Slovak Koruna and Slovenian Tolar) against the Euro and the US dollar. Among the specifications composing this battery of multivariate time series models, those with the smallest prediction error still fail to reject the test of equality of forecasting accuracy against the random walk model in short-term predictions, with the exception of the Slovenian Tolar/Euro exchange rate.First version received: October 2002/Final version received: September 2003The authors are grateful to two anonymous referees and the participants in the workshop Monetary and Exchange Rate Strategies Related to the Current European Unions Enlargement Processes, held in Leuven in September 2000, for very helpful comments.     

On the performance of the Chow-Lin procedure for quarterly interpolation of annual data: Some Monte-Carlo analysis

Most of the countries of the OECD offer quarterly estimates of their national growth or of their Gross National Product. Official Statistical Agencies in western countries have to deal with the problem of estimating Quarterly National Accounts series congruently with Annual National Accounts. In Spain, the Instituto Nacional de Estadística uses the Chow-Lin disaggregation method, which is based on information provided by a group of high-frequency related variables, to estimate the quarterly components of National Accounts from annual components. In this paper, we analyse the relative quality of the estimates obtained through the Chow-Lin procedure, under different sets of hypotheses.JEL Classification: C15, C43, M40We are grateful to Maria Amparo Ripoll for her assistance. The authors also wish to thank three anonymous referees and an editor for their constructive suggestions and comments. This research was partially made during the stay of the first author at the Universidad Carlos III de Madrid. It has been partially supported by the research project DGCYT PB98-1460.     

On the short-time behavior of the implied volatility for jump-diffusion models with stochastic volatility

In this paper we use Malliavin calculus techniques to obtain an expression for the short-time behavior of the at-the-money implied volatility skew for a generalization of the Bates model, where the volatility does not need to be a diffusion or a Markov process, as the examples in Sect. 7 show. This expression depends on the derivative of the volatility in the sense of Malliavin calculus. E. Alòs’ research is supported by grants MEC FEDER MTM 2006 06427 and SEJ2006-13537. J.A. León’s research is partially supported by the CONACyT grant 45684-F. J. Vives’ research is supported by grant MEC FEDER MTM 2006 06427.     

Advantages of assembly lines in Sheltered Work Centres for Disabled. A case study

Current practices for the treatment of the physically and/or mentally handicapped prescribe meaningful job activity as a means towards both a more fulfilling life and societal integration. In many countries, these practices have facilitated the development of many Sheltered Work Centres for Disabled.In the case study presented, a reengineering process is done starting from individual workplaces where only certain workers were capable of assembling the entire product, and finishing with an assembly line implementation. It is revealed how the traditional division of work in single tasks, typical in assembly lines, becomes a perfect tool for making certain worker disabilities invisible, providing new jobs for disabled people; always taking into account certain special constraints that are analysed.     

Optimal investment and production decisions and the value of the firm

We explore the effects of uncertainty on a firm that can respond by modifying its investment or production schedule (or both simultaneously) to variations in output price. Investment may increase capacity and/or reduce costs. We consider a firm with finite resources.Our model uses option theory instead of the more traditional net present value framework. One of the early papers using this approach is Brennan and Schwartz (1985) in which an investment project to extract a finite natural resource is valued. In that paper, the value of the firm is a function of two state variables, the finite resource to be extracted (output to be produced in the future) and the commodity spot price. In order to maximize firm value, the manager can respond by modifying one control variable, the production level. In our model we handle instead three state variables (spot price, resources, accumulated investment) and two control variables (production rate and investment rate), and solve numerically.We obtain both the value and the optimal policy of a firm that has investment projects that increase capacity and/or reduce costs and illustrate optimal policies as resources and available investments decrease over the life of the firm. Firms may start by only investing, then invest and produce, to end only producing.We thank Scott Wo, the referee and the editor for their comments and suggestions. Cortázar and Lowener acknowledge the financial support from FONDECYT and FONDER.     

Who are these people? Personality traits and judgments about trade secret misappropriation in post‐employment activities

Trade secret theft is a problem that almost all organizations face. The greatest threat is employee mobility and potential unethical post‐employment behavior. This study investigates the role of individual personality traits in judgments about trade secret misappropriation. Our hypotheses were tested in three studies addressing three different situational contexts: current employees, employees about to be laid off, and students who had quit their job. Relationships were estimated with robust regression. The results show that some personality traits predict judgment about another person's trade secret misappropriation, and that the situational context in which individuals formulate their ethical judgment moderates the impact of personality traits on ethical judgment.