Price-directive decision making in hierarchical systems with conflicting preferences

In this paper we consider a classical model of price-directive decision making in hierarchical organizations, namely Dantzig-Wolfe decomposition, well known from single-objective programming. Here, however, we allow for preference differences that are usually observed between a central unit and a subunit in an organizational structure. The procedure models, therefore, how decision making may evolve in a context with decentralized information as well as intra- and interpersonal conflicts. Several numerical experiments with the procedure have been performed. The results of those experiments demonstrate that the procedure in many instances converges towards an efficient solution, despite the differences in the criteria weights used in the master problem and the subproblem respectively. This suggests that some amount of goal discordance need not prohibit efficient decision making in a hierarchical organization.     

Estimating Complex Measurement and Growth Models Using the R Package PLmixed

Measurement models, such as factor analysis and item response theory models, are commonly implemented within educational, psychological, and behavioral science research to mitigate the negative effects of measurement error. These models can be formulated as an extension of generalized linear mixed models within a unifying framework that encompasses various kinds of multilevel models and longitudinal models, such as partially nonlinear latent growth models. We introduce the R package PLmixed, which implements profile maximum likelihood estimation to estimate complex measurement and growth models that can be formulated within the general modeling framework using the existing R package lme4 and function optim. We demonstrate the use of PLmixed through two examples before concluding with a brief overview of other possible models.     

ACADEA—a decision support system for faculty performance reviews

ACADEA, a multi‐criteria decision support system for the performance review of individual faculty, is presented. Developed from the point of view of a department that is facing exogenously as well as self imposed objectives, the support system looks upon the aggregate performance of an academic department as the result of individual faculty member's multi‐criteria evaluations. Five objectives, research output, teaching output, external service, internal service and cost, are operationalized into criteria. The system is applied to a university department with 30 faculty members evaluated over a 3‐year period. The results identify promotional candidates and reveal underlying problems in managerial consistency, departmental sub‐groupings and the incentive structure. The outcomes of the support system are consistent with the position that equity in faculty governance does not necessarily imply equal loads on all tasks. Copyright © 2000 John Wiley & Sons, Ltd.     

THE CLASSICAL CONFUCIAN POSITION ON THE LEGITIMATE USE OF MILITARY FORCE

Focusing on the thought of Mencius and Xunzi, this essay reconstructs and examines the classical Confucian position on the legitimate use of military force. It begins by sketching historically important political concepts, such as types of political leaders, politics of the kingly way versus politics of the hegemonic way, and the controversial role of lords‐protector. It then moves on to explore Confucian criteria for justifying resort to the use of force, giving special attention to undertaking punitive expeditions to interdict and punish aggression and tyranny. Following this discussion, the essay then attends to important Confucian moral constraints on how military force is properly employed, including prohibitions on attacking the defenseless, indiscriminate slaughter of enemy forces, destruction of civilian infrastructure, prisoner abuse, and non‐consensual annexation of territory. The essay concludes by first discussing an illustrative case from Mencius and then comparing its reconstruction of the Confucian position to those offered by other scholars.     

Model and interactive algorithm of bi‐level multi‐objective decision‐making with multiple interconnected decision makers

Furthering a prior research on two‐person bi‐level multi‐objective decision‐making problems of the leader‐follower Stackelberg game, we present an extended model of bi‐level multi‐objective decision‐making with multiple interconnected decision makers at the lower level. In the model, the upper level decision maker acts as a leader and the lower level decision makers behave as the followers, and inter‐connections and interactions exist among these followers in decision‐making scenarios. Following the rules of leader‐follower Stackelberg game, we develop an interactive algorithm of the model for solving multi‐objective decision‐making problems and reflecting the interactive natures among the decision makers. Finally, the authors exemplify the model and algorithm, and draw a conclusion on points of contributions and the significance of this study in decision‐making and support. Copyright © 2001 John Wiley & Sons, Ltd.     

Multiple objective programming with piecewise linear functions

An approach to generating all efficient solutions for multiple objective programs with piecewise linear objective functions and linear constraints is presented. The approach is based on the decomposition of the feasible set into subsets, referred to as cells, so that the original problem reduces to a series of single objective linear programs and feasibility tests over the cells. The concepts of cell-efficiency and complex-efficiency are introduced and their relationship with efficiency is examined. A generic algorithm for finding efficient solutions for bi-objective piecewise linear programs is proposed. Applications in location theory as well as in worst case analysis are highlighted. Copyright © 1999 John Wiley & Sons, Ltd.     

Reducing Proactive Interference in Motor Tasks

Abstract

Changing automatized movement patterns often leads to initial performance decrements caused by proactive interference. In this study, we scrutinized whether proactive interference could be reduced by inhibiting the to-be-changed movement pattern by means of a physical movement constraint and verbal inhibition instructions, and whether any of the two interventions may be superior. Skilled typists typed short texts as fast and accurately as possible on a regular QWERTZ keyboard. After baseline measures, a new rule prohibiting the use of the left index finger was introduced. Subsequently, participants took part in either a verbal instruction or an additional motor restriction intervention phase. Results revealed that the original rule change was successful in inducing proactive interference in skilled typists. Most importantly, the two interventions similarly reduced proactive interference both immediately following the rule change and after ten practice sessions. We conclude that reducing proactive interference by means of physical motor restrictions and verbal instructions may be equally effective.