12 research outputs found

    Facing differences with an open mind: Openness to Experience, salience of intra-group differences, and performance of diverse groups.

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    This study examined how the performance of diverse teams is affected by member openness to experience and the extent to which team reward structure emphasizes intragroup differences. Fifty-eight heterogeneous four-person teams engaged in an interactive task. Teams in which reward structure converged with diversity (i.e., "faultline" teams) performed more poorly than teams in which reward structure cut across differences between group members or pointed to a "superordinate identity." High openness to experience positively influenced teams in which differences were salient (i.e., faultline and "cross-categorized" teams) but not teams with a superordinate identity. This effect was mediated by information elaboration

    Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library

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    We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research. Our test domain is the history and philosophy of scientific work on animal mind and cognition. The methods can be generalized to other research areas and ultimately support a system for semi-automatic identification of argument structures. We provide a case study for the application of the methods to the problem of identifying and extracting arguments about anthropomorphism during a critical period in the development of comparative psychology. We show how a combination of classification systems and mixed-membership models trained over large digital libraries can inform resource discovery in this domain. Through a novel approach of “drill-down” topic modeling—simultaneously reducing both the size of the corpus and the unit of analysis—we are able to reduce a large collection of fulltext volumes to a much smaller set of pages within six focal volumes containing arguments of interest to historians and philosophers of comparative psychology. The volumes identified in this way did not appear among the first ten results of the keyword search in the HathiTrust digital library and the pages bear the kind of “close reading” needed to generate original interpretations that is the heart of scholarly work in the humanities. Zooming back out, we provide a way to place the books onto a map of science originally constructed from very different data and for different purposes. The multilevel approach advances understanding of the intellectual and societal contexts in which writings are interpreted

    Assessing personality traits in a large scale software development company: exploratory industrial case study

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    Software development methodologies become increasingly more people and team-oriented. However, many software projects fail due to conflicts of team members. Formation of an effective software development team may be particularly challenging given the differences inherent across an individual’s personality. This paper explores personality traits of agile software development teams by using a context-specific interactive assessment. Concerning the assessment, we have conducted a questionnaire with 110 participants from a large-scale software development company. We have visualized personality traits with team radar charts showing the personality traits of 18 project teams and analyzed the results by validation interviews. Our preliminary results indicate that higher introversion is observed most commonly in isolated teams that has less contact with customers. Moreover, high levels of agreeableness and conscientiousness personality traits are observed in most of the agile software development teams

    Human Attributes in the Modelling of Work Teams

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    International audienceThis paper presents a summary of relevant research findings that have been used as the theoretical background in the design of an agent-based model to simulate the human behaviour within work teams (the TEAKS model). It underlines some of the main trends in the modelling of human behaviour in teams, and the rationale for selecting the attributes to represent real team candidates as software agents in the TEAKS model

    The Team Personality–Team Performance Relationship Revisited: The Impact of Criterion Choice, Pattern of Workflow, and Method of Aggregation

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    Using meta-analytic evidence, this study tested trait- and task-based theoretical approaches to team personality management, using both team behaviors and team outcomes as criteria. Trait theories state that maximization of the team trait is harmful for Extroversion (complementary team fit) but beneficial for Conscientiousness, Agreeableness, and Emotional Stability (supplementary fit). Task-based theories state that tasks with few work exchanges are best reflected by mean trait scores, whereas tasks with frequent work exchanges are best represented by other types of scores (e.g., minimum score). Correlations between different aggregations of team personality and team performance were coded, as well as the study criterion choice and the pattern of workflow (as moderators). Partial support for both trait and task theories were found. Team Conscientiousness and Agreeableness provided supplementary fit primarily with team behaviors, but there was mixed evidence that Extroversion provided complementary fit. Furthermore, minimum and variance measures of the team trait related to team performance in tasks with frequent work exchanges, but not in tasks with few work exchanges. Results suggest several limitations with existing measurement methods, which are discussed
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