Toward A Model of International Compensation and Rewards: Learning From how Managers Respond to Variations in Local Host Contexts

Managers and researchers recognize that the tensions created by the interplay of globalization and national environments influence the behaviors of multinational enterprises (MNEs). In order to develop a model that is useful for understanding the effects of the global and local host environments on managerial compensation, we undertook a grounded theory building study of managers in several multinationals. We use the information gained to extend two contemporary perspectives of IHRM: national culture, and strategic alignment. We develop the idea that it is the relative degree of variation (flexibility) within the local host context that is critical to understanding managers\u27 ICRS decisions. We present a different, pragmatic experimentation view of managers\u27 ICRS decision making, which we believe offers insights into the effects of the interplay of the MNE pressures to create integrated global systems and the pressures generated within the local host environments

Simulating Human Activities for Synthetic Inputs to Sensor Systems

We are developing human activity simulations that could be used to test distributed video sensor networks. Our ultimate goals are to build statistical models of pedestrian density and flows at a number of urban locations and to correlate those flows with population movement and density models represented in a spatiotemporal modeling system. In order to create known populace flows, we have built a virtual populace simulation system, called CAROSA, which permits the authoring of functional crowds of people going about role-, context-, and schedule-dependent activities. The capabilities and authoring tools for these functional crowd simulations are described with the intention of readily creating ground truth data for distributed sensor system design and evaluation