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ABSTRACTThis work proposes an approach to cluster and sort a set of alternatives considering multi‐criteria categories with a partial order structure. It can be considered a heuristic approach because it does not attempt to derive an optimal partial order among all conceivable clusters of alternatives. Rather than this, it intends to be a simple approach that is transparent to the Decision Maker (DM) whose assistance is sought to help shaping the results. The approach proposed arises from the conjugation of traditional Clustering analysis and Multi‐criteria sorting tools. At the outset, the number of categories and their characteristics is unknown. First, we need to detect only the clusters themselves on the basis of a similarity measure independent of the preferences of the DM. Next, we detect potential partial order relations that might exist between them, according to the subjective preferences of the DM. Such preferences are elicited only after the DM has examined the clusters detected and deemed that these categories made sense. The new approach performs very well in a real‐world problem of management of intragroup conflicts and conflict handling strategies. Copyright © 2012 John Wiley & Sons, Ltd.

Abstract

Background and Purpose
Incorporating autonomy in teams has been an increasingly popular practice, but the mechanisms that make autonomous teams effective still need to be completely understood. Adopting a multidimensional approach to team effectiveness, the aim of this study was to analyse the mediating role of team members' supportive behaviours in the relationship between team autonomy and team effectiveness (team performance, team viability, quality of group experience and team process improvement).


Methods:
This research adopts a group-level analysis with a sample of 90 teams of 40 organisations from different sectors. Regression analysis was used to analyse the data, namely the product of the coefficients method.


Results
A positive relationship between team autonomy and supportive behaviours, which, in turn, is positively related to the four criteria of team effectiveness, was found, suggesting that supportive behaviours are a team process that explains the relationship between team autonomy and team effectiveness.


Conclusion
This research enriches our knowledge of the antecedents of team effectiveness and explains the mechanisms through which team autonomy relates to team effectiveness, encouraging organisations to incorporate autonomy into teams' design to enhance supportive behaviours and team effectiveness.

Despite the growing attention which green human resource management (GHRM) has been gaining, the field is still remarkably young, and conceptual clarity is yet to be attained. A bibliometric review of GHRM from 2010 to 2020 was conducted on the Web of Science and analyzed using the VOSviewer software package, version 1.6.16 developed by Van Eck and Waltman (Leiden, The Netherlands). The results show the exponential growth of this topic, although there seems to be no consensus regarding its definition, conceptualization and measurement. Concerning its conceptual development, GHRM seems to currently fit the second stage of development (evaluation and augmentation) of Reichers and Schneider's three-stage model of the evolution of constructs. Future research seems to point in the direction of establishing the barriers separating GHRM from other human resource management topics, defining green practices and determining the antecedents and consequences of GHRM.

This study explores the relationship between team cohesion and team learning by adopting a nonlinear approach. A quantitative study with a sample composed of 82 organizational teams was conducted. Radial basis function (RBF) interpolation models were used, and results showed that the best predicting ability was obtained by the Thin Plate RBF model, which revealed that an increase in both dimensions of cohesion leads to an increase in team learning up to a certain threshold. Moreover, our results showed that the maximum value of team learning is obtained at higher values of task cohesion and moderate values of social cohesion.