Common factors can always be found but can they also be rejected?

Factor models are often used to reduce the complexity of data. It is simple to find common factors and to interpret them. However, it is doubtful whether factor models are always appropriate. Especially when the common factor is considered to be an attitude, it must be stable through time and explain a considerable part of the variances. A procedure is suggested to test the usefulness of a common factor. In an experimental pilot study in which an attitude towards immigrant workers was investigated, the instability and superfluousness of a common factor is shown. An alternative model is presented which suggests that changing opinions can be explained by specific variables. Finally it is shown that a more stable common factor is found if a so-called MIMIC-design is used.     

Improving perishable product inventory management using goal programming

The multiple objectives of perishable product inventory management are examined in this paper. These objectives include: (1) satisfying demand by carrying sufficient inventories, (2) holding down inventory carrying costs, (3) keeping the amount of product spoilage (outdating) at an acceptable level, and (4) maintaining quality by using the product while it is still fresh, and (5) keeping the cost of rotation low. Some of the above objectives are in conflict. Thus, certain redistribution policies may help attain one or more of these objectives to a greater extent. Redistribution involves the transfer of the product from outlets where demand is low to outlets where demand is high. A goal programming model for solving redistribution problems is presented. An example is provided and sensitivity analysis is performed in order to determine when redistribution is advantageous. Applicability of the model is discussed.     

The entropies: Some roots of ambiguity

Entropy concepts have developed in four general contexts—thermodynamics, communication theory, statistical information theory and social and life sciences. These concepts have five distinct mathematical forms. Ambiguity and complexity in utilization of the concept has been heightened by this multi-faceted heritage. Effective utilization may be strengthened by a sharper articulation of entropy through combinations of literal, mathematical and graphical modes of expression. Geography and planning as user disciplines have important responsibilities in enhancing cross-disciplinary communication of this important adisciplinary concept. Implications of these arguments for the social sciences include the need for caution in drawing social analogies from the ambiguous entropy concepts of statistical mechanics; and an indication of the potential benefits of social science models based on the unambiguous entropic constructs of statistical information theory.     

The transformational management of conflict: A perspective from the early Christian church

An understanding of transformational leadership has been developed for many spheres of management, but not previously for organizational conflict. This paper analyzes a successful conflict mediation attempt in the early Christian church and draws from it elements of a model of the transformational management of conflict that can be applied by managers in many contemporary work organizations. The elements include (a) reframing the conflict, (b) a focus on a shared organizational vision, (c) the placement of responsibility for dispute resolution in the hands of organizational members directly and indirectly involved in conflict, and (d) the use of communication devices consistent with the desired outcome. The paper suggests skills necessary for managers to implement the model and implications for research on it.     

Locational efficiency in a federal system

A number of recent studies have concluded that differing local government tax and expenditure packages necessarily create incentives for households to locate in a non-optimal fashion. This paper shows, on the contrary, that the locational equilibrium may be optimal. For example, if migration produces no congestion costs, then as long as localities tax the locationally-fixed commodity, land, the equilibrium will be optimal. In fact, there are only two reasons why non-optimality may result: local taxes may be distortionary (by taxing the mobile rather than immobile factor), or there may be non-internalized externalities.