Embedded Enclaves: Cultural Mimicry and Urban Social Exclusion in Iran

This article argues that symbolic boundaries and their spatial manifestation into embedded enclaves have become new forms of urban social exclusion. Based on participant observation and interviews among lower‐ and middle‐/upper‐class residents in the city of Sari, Iran, the article analyzes how the poor's physical circulations in the city and their performances of class and status have led to an elite backlash, as the latter find more refined markers of social separation in an effort to bolster their own exclusivity. Social distancing through the denigration of the poor and the construction of embedded enclaves brings to the fore the class tensions that are temporarily masked by the urban poor's spatial practices and cultural mimicry. As an advanced form of codified status inequality, embedded enclaves rely on the poor's citywide circulations and on increasing inter‐class interactions in order to communicate difference. Embedded—rather than cordoned off—in prominent areas of the city, such enclaves function as a reminder to the poor of all they cannot have. The upsurge of such establishments in the wake of Iran's shifting economic environment represents an attempt to shore up social position and restore the status quo.     

Communication Behaviors to Implement Innovations: How Do AEC Teams Communicate in IPD Projects?

Implementing any innovation successfully is a challenge. In addition to commonly reported climate and values‐fit constructs, this study proposes that communication behaviors (i.e., monitoring, challenging, managing, and negotiating) are also vital for innovation implementation. Via an in‐depth literature review, the study first defines these metrics. Second, a content analysis of an integrated project delivery (IPD) case study report enables the study to explore if these communication behaviors exist in inter‐organizational architecture, engineering, and construction (AEC) project teams. Results provide four key communication metrics for innovation implementation, supported by evidence and examples that illustrate these metrics in AEC teams implementing IPD as an innovation.     

An evolutionary model of the size distribution of firms

An analytical study of the evolution of the distribution of firm size in an industry is presented. A drift-diffusion model is proposed to express the time-evolution of density of firm size within the industry. The model blends the conventional, more or less static, determinants with the kinds of dynamic considerations introduced by stochastic processes of evolutionary dynamics. The steady-state distribution as well as the dynamic behavior of the model are derived. Parameters in the resulting analytical expressions are then fit to a population of firms in the non-manufacturing service sector. The empirical portion of the paper validates the proposed evolutionary model.     

A Dynamic Model of Size Distribution of Firms Applied to U.S. Biotechnology and Trucking Industries

The present paper attempts to contribute to the existing literature on industry dynamics by proposing a tractable structure for the analysis of the dynamic process governing the size distribution of firms. An analytical model is proposed which describes the density of the cross-sectional distribution of firm size within an industry. The model is based on the theory of diffusion processes, and the method illustrates how information on the time-evolution of size distribution of firms over an extended period of time can be used to make inferences about an underlying process. An empirical application to the evolution of size distribution of population of firms in (i) the U.S. biotechnology industry, and (ii) the U.S. interstate for-hire trucking industry illustrates the applicability of the proposed model in industry studies.     

Resource Allocation through Negotiation and Compromise: A Database Approach

In this paper, a resource allocation system is modeled with relational database technology. To allocate resources through a negotiation-based system, two steps of pre-allocation and negotiated allocation have been modeled with a join procedure for two relations. These relations represent the requirements for experiential nursing practice and the availability of such experience at hospitals, respectively.The first step was implemented through a new join operation called -Distance Join. After the first step, some nursing departments and some hospitals have fully satisfied requirements or fully utilized availability. Other nursing department and hospitals have partial or no satisfaction of requirements or availability, respectively.The second step was implemented through a custom-designed implementation of a user-interface that provides coordinated negotiation among the nodes involved in the system. With the customized interface and join operation, an off-the-shelf or packaged database management system is used. Through this interface, nursing departments and hospitals negotiate until potentially all demands and availability are totally satisfied. This negotiation takes place without face-to-face meetings but with complete knowledge of the entire situation by all parties. This provides the potential for complete fulfillment of nursing experience requirements and total utilization of hospital experience availability.