An innovative approach to selecting an executive director

As a guide for how to select a new executive director, a family agency adopted the search committee process from higher education. The approach included clarifying agency goals and the director's qualifications, a board-staff screening, and interviews held jointly with public representatives before final board selection.     

The solipsist patient

The aim of this paper is to widen the clinician's understanding of a narcissistic type, the solipsist (one alone with the self) who is treatable because he or she is the healthiest of narcissists yet a challenge to psychotherapy because the solipsist allows no one to be with him or her. Countertransference is discussed as a primary factor for the therapist to understand and control. The handling of the transference is seen as the key to therapeutic success and is illustrated by case examples.     

SIMULATION AND THE CAPITAL ASSET PRICING MODEL: A COMMENT*

This paper challenges Lewellen and Long's contention that a Hertz-type simulation generates irrelevant data for the evaluation of capital expenditure opportunities. The conclusion is reached that an estimate of an asset's “own risk” may be a vital first step in estimating its covariance properties with the market index. A method of incorporating the information generated by simulation into the capital asset pricing model is also provided.     

OPTIMIZING ORGANIZATIONAL GOALS IN ASSIGNING FACULTY TEACHING SCHEDULES

The administration of higher education, as with other administrative environments, has become increasingly complex. This paper presents a mathematical model which addresses one of the administrative tasks concerning administrators in all institutions, the establishment of faculty teaching schedules. The assignment technique utilized by the model is linear programming with two special characteristics: goal programming and mixed-integer programming. The goal programming characteristic refers to the provision of explicit stack variables to take on values representing deviations from assignment criteria that may result in resolving conflicts which arise from interactive administrative priorities. The mixed-integer programming characteristic refers to a requirement of the model that certain variables take on only integer values if they appear in the final solution. The model is demonstrated using two different sets of preference orderings for goal achievement.