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AbstractThe Department of the Army must provide its personnel with acceptable housing within the vicinity of military installations. To achieve this housing goal, the Army must often enter into agreements for the construction of housing or for leasing of existing housing. Any housing construction or leasing request must be accompanied by a Segmented Housing Market Analysis (SHMA), a time‐consuming and costly forecasting process that requires many manual labor tasks. As described elsewhere, a Housing Analysis System (HANS) was developed to support these tasks on a micro computer with very user‐friendly computer programs. Recently, the original version of HANS has been modified and incorporated into a larger computer system now under development. At the heart of both the original and modified systems is a set of econometric and heuristic programming models that deliver the required analyses and evaluations. This paper describes these models, explains how they drive the modified HANS, and presents the results and benefits of the use of the modified computer system.Biographical Sketch — Guisseppi A. Forgionne is Professor of Information Systems at the University of Maryland Baltimore County (UMBC). Professor Forgionne holds a B.S. in Commerce and Finance, an M.A. in Econometrics, an M.B.A., and a Ph.D. in Management Science and Econometrics. He has published 16 books and approximately 70 research articles and consulted for a variety of public and private organizations on decision support systems theory and applications. Dr. Forgionne has also served as department chair at UMBC, Mount Vernon College, and Cal Poly Pomona. He has received several national and international awards for his work.

ABSTRACTResearch on context‐aware computing has been focusing on the technology aspect of context acquisition and interpretation of users' surrounding environment or physical context. There is no operational mechanism for integrating context awareness that is driven by user context such as users' ongoing activities and tasks. Although the necessity of integration of sensed context data with users' intent of conduct has been recognized by many researchers, it has never been empirically investigated. Using Analytic Hierarchy Process, we propose an integrated and comprehensive approach that takes into consideration both user and physical context in defining overall context awareness value. The approach is tested using secondary data of user activities in various situations and surrounding environment scenarios. The results suggest several preliminary guidelines for determining representative measures of user and physical context approaches in the design and evaluation of context‐aware systems. Copyright © 2011 John Wiley & Sons, Ltd.

This study examines the influence of sex on satisfaction with job related factors, overall job satisfaction, attitudes toward various motivators, and overall job motivation among managers. Using a statistical analysis of survey data, the study identifies many significant differences between male and female managers'perceptions and attitudes. The article then compares the findings to previous research, presents some questions pertinent to policy formation, and suggests avenues for future research.