The Role of Household Social Organization in the Structure of Rural Economies: Comparing Forest Resource Dependent and Agriculturally Dependent Regions in Russia

Sociologists have examined how structural economic change affects household social organization and generation of household income from different sources. The introduction of elements of a market economy into rural Russia in the early 1990s provides a unique opportunity to examine these relationships. Much of the work on this topic, however, has been conducted in black earth zone, agriculturally dependent regions. Less attention has been given to non‐black‐earth zone, forest resource dependent regions. This article addresses this limitation by comparing the relationships between household income generation strategies and household social organization in a 2009 survey of villages in three forest resource dependent regions in northwest Russia with findings from a 2006 survey of households in nine agricultural regions of Russia. Income generated from enterprises based on household social organization—household labor and social helping networks—is substantially greater in agriculturally dependent than in forest resource dependent regions. We discuss the implications of these findings for understanding intranational regional differences in the relationship between economic systems, household social organization, and rural household economies as well as the obstacles facing policymakers and environmentalists who attempt to shift household income generation strategies away from an environmentally harmful lumber industry to income generation activities that are less harmful to the environment.     

Applications and Implementation DECISION SUPPORT SYSTEMS: AN EMPIRICAL ASSESSMENT FOR DECISION MAKING

A laboratory experiment examined the effects of applying decision support system (DSS) technology to decision making in ill-structured problem environments under varying information conditions. Marketing executives participated in the experiment which investigated the effects of DSS availability, DSS training, and data availability on dependent variables that included: (1) the number of alternatives considered by a subject during decision making, (2) the period of time spent by a subject to complete the decision-making process, (3) the subject's perceived confidence in the decisions he or she had made, (4) the amount of data considered by a subject's during decision making, (5) the individual subject's decision processing, and (6) the subject's performance overall. Our results indicate that all three factors significantly affect the number of alternatives considered by subjects during the decision-making process. We therefore suggest that DSS training be coordinated with decision training in order to realize the potential of DSSs as described in the DSS literature.     

School Choice in London and Paris – A Comparison of Middle‐class Strategies

Education is one major public service in which quasi‐markets and other choice‐based mechanisms are now established methods of delivery. The types of school people choose, and the extent to which their choices are realized, have a fundamental impact on the outcomes of any mechanism of school choice. In this article, we provide a comparative analysis of the school choice strategies of middle‐class families in London and Paris. We draw on approximately 200 in‐depth interviews carried out across the two cities. This enables us to investigate the extent to which middle‐class school choice strategies transcend the institutional context provided by both the local (state and private) schools market and national education policy in England and France. We discuss these findings in the context of current school choice policy and consider their implications for future policy design.     

Unequal Partners? Local Government Reorganization and the Voluntary Sector

British local government has recently undergone its most far-reaching reorganization for twenty-five years. The impact of this reorganization was considerable within local authorities but it also substantially affected other organizations with which they worked at a local level. This paper explores the perspectives of voluntary sector organizations involved in social care: a set of actors which, prior to reorganization, had been encouraged by central and local government, through notions of partnership and through community care legislation, to undertake more direct roles in service delivery, consultation and strategic planning. During the consultative period prior to reorganization, many voluntary organizations reported that they had been marginal to the process. Reflecting on the process of reorganization itself, many voluntary organization respondents commented that it had been disruptive and provoked considerable anxiety. Post-reorganization, voluntary organizations felt that rebuilding of relationships was necessary and that the promise of partnership had meant little in practice at a time of potential crisis for local.     

Career Decision State and Assessment of RIASEC Interest Structure

The career decision state (CDS) was studied in relation to RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, Conventional) profiles in Self-Directed Search results among college students (86 women, 27 men). Three CDS dimensions measured by the Career State Inventory (CSI; certainty, satisfaction, and clarity) were examined as predictors of RIASEC primary and secondary constructs. Significant, albeit modest, zero-order correlations (p < .05) emerged between clarity and 3 secondary constructs (i.e., consistency, commonness, and coherence). Results of regression analyses indicated that CSI dimensions predicted 1 secondary construct (i.e., commonness).     

Restaurant Revenue Management at Chevys: Determining the Best Table Mix

Revenue management has been used in a variety of industries and generally takes the form of managing demand by manipulating length of customer usage and price. Supply mix is rarely considered, although it can have considerable impact on revenue. In this research, we focused on developing an optimal supply mix, specifically on determining the supply mix that would maximize revenue. We used data from a Chevys restaurant, part of a large chain of Mexican restaurants, in conjunction with a simulation model to evaluate and enumerate all possible supply (table) mixes. Compared to the restaurant's existing table mix, the optimal mix is capable of handling a 30% increase in customer volume without increasing waiting times beyond their original levels. While our study was in a restaurant context, the results of this research are applicable to other service businesses.