RACIAL DIFFERENCES IN EMPLOYEE RETENTION: ARE DIVERSITY CLIMATE PERCEPTIONS THE KEY?

Given considerable racial differences in voluntary turnover ( Bureau of Labor Statistics, 2006 , Table 28), the present study examined the influence of diversity climate perceptions on turnover intentions among managerial employees in a national retail organization. The authors hypothesized that pro-diversity work climate perceptions would correlate most negatively with turnover intentions among Blacks, followed in order of strength by Hispanics and Whites (Hypothesis 1), and that organizational commitment would mediate these interactive effects of race and diversity climate perceptions on turnover intentions (Hypothesis 2). Results from a sample of 5,370 managers partially supported both hypotheses, as findings were strongest among Blacks. Contrary to the hypotheses, however, White men and women exhibited slightly stronger effects than Hispanic personnel.     

IS THERE METHOD TO THE MADNESS? EXAMINING HOW RACIOETHNIC MATCHING INFLUENCES RETAIL STORE PRODUCTIVITY

This article considers the efficacy of matching the racioethnicity of employees and the customer base as a human resource strategy within service organizations. Despite being advocated widely, the literature on its effectiveness is scant and riddled with conflicting findings. We revisit the theoretical rationale underlying this strategy, formulate new theory, and introduce the demographic representativeness construct (i.e., the congruence between employee and customer base profiles) to the organizational literature to test our hypotheses. Using multisource data pertaining to 739 stores of a U.S. retailer, the results indicate a positive effect of racioethnic representativeness on productivity, which is accounted for by improved customer satisfaction. Moreover, additional analyses showed this indirect relationship to be more pronounced in stores with larger minority customer bases.     

Decision Development in Computer-Assisted Group Decision Making

New computer technologies to aid group communication and decision making are becoming increasingly widespread. This study analyzes how one such technology, a group decision support system (GDSS), affected how group decisions developed over time. The study contrasted decision paths in groups using the GDSS with groups using the same procedural structures incorporated in the GDSS manually and with groups using no procedural structures. A flexible phase mapping method was employed to map group decision paths. The resulting set of seven decision paths varied in both sequence and number of decision phases. An optimal matching procedure was used to compute similarity measures among the 40 paths, and cluster analysis and multidimensional scaling were used to generate an empirical taxonomy of decision paths. Results indicated that the nature of decision paths varied both across the three conditions and within conditions. The decision path types were also related to three outcome variables: consensus change, perceived decision quality, and decision scheme satisfaction. Results indicated that those decision paths that most resembled logical normative sequences had superior outcomes to those that did not.     

Microlevel Structuration in Computer-Supported Group Decision Making

The theory of Structuration focuses on how actions by members of social collectives create the structures that enable and constrain future action. Most previous research on Structuration in groups and organizations used qualitative case studies because Structuration is quite complex. This study introduces a method for the study of Structuration in larger samples of groups or organizations. A category system for the identification of structuring moves is described, along with several methods for characterizing short- and long-term trends in Structuration processes. The method is used to study how groups incorporate a computerized group decision support system (GDSS) into their decision processes. GDSSs are part of a class of new computer and communication technologies designed to help groups improve their meetings and make better decisions. Because GDSSs must be used by a group rather than an individual, social processes are critical in determining their effects on group outcomes. GDSSs influence groups by structuring their activities, and structurational processes are critical mediators of the impacts of GDSSs on group decision making. The study focused on the effects of restrictiveness of GDSS technology on Structuration processes and, in turn, on the relation of Structuration to a key group outcome, consensus change. The results suggest that two major types of structuring processes occur in computer-supported groups and that the nature of structuration is related to degree of consensus change.