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Cooperative Members (cooperative + member)
Selected AbstractsUnderstanding heterogeneous preferences of cooperative membersAGRIBUSINESS : AN INTERNATIONAL JOURNAL, Issue 1 2009Nikos Kalogeras We study the heterogeneity in the preference structure of cooperative members. Using conjoint analysis the utility that members attach to intra-organizational and strategic attributes of their cooperative is elicited. Recognizing that members are not homogenous, a concomitant finite-mixture regression model is employed to allow preferences to vary across different member segments. With data from 120 cooperative members, we find that most members demonstrate rather similar preferences for strategic attributes but differ with respect to the intra-organizational attributes of control and management. Members' preference structures are affected by business size and attitudes towards risk. [EconLit Citations: Q130; M000, C400]. © 2009 Wiley Periodicals, Inc. [source] Impact of cooperatives on smallholders' commercialization behavior: evidence from EthiopiaAGRICULTURAL ECONOMICS, Issue 2 2008Tanguy Bernard Propensity score matching; Program evaluation; Market participation; Cooperatives Abstract This article examines the impact of marketing cooperatives on smallholder commercialization of cereals using detailed household data in rural Ethiopia. We use the strong government role in promoting the establishment of cooperatives to justify the use of propensity score matching to compare households that are cooperative members to similar households in comparable areas without cooperatives. The analysis reveals that although cooperatives obtain higher prices for their members, they are not associated with a significant increase in the overall share of cereal production sold commercially by their members. However, these average results hide considerable heterogeneity across households. In particular, we find that smaller farmers tend to reduce their marketed output as a result of higher prices, whereas the opposite is true for larger farmers. [source] Missing persons in the study of groupsJOURNAL OF ORGANIZATIONAL BEHAVIOR, Issue 1 2005Thomas A. Timmerman This research examined relationships between team-level variables with various patterns of individual non-response. In the first analysis, professional basketball teams (n,=,389) were used to study the relationship between team cooperation and team performance. In the second analysis, the same teams were used to study the relationship between team experience and team performance. In the third analysis, professional baseball teams (n,=,1984) were used to study the relationship between team experience and team performance. Individuals were deleted from the complete data sets to simulate three different types of non-response that might be encountered in organizational group or team research. In all three analyses, team-level relationships were attenuated as individual members were deleted randomly. Team-level relationships were also generally reduced as individuals were deleted as a function of their level of participation with the team. The overall amount of variance explained, however, showed a pronounced curvilinear effect. Namely, in all three analyses, the variance explained in team performance peaked when 30,40,per,cent of the low-participation members were deleted. Finally, in the first analysis, relationships were also attenuated as the least cooperative members were deleted from the data set. The results demonstrate the need for researchers to understand the diverse effects of various types of non-response in team and group research. Copyright © 2005 John Wiley & Sons, Ltd. [source] | ||||||||||