2,159 research outputs found

    Team Players and Collective Performance: How Agreeableness Affects Team Performance Over Time

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    Previous research on teams has found that agreeableness is one of the strongest personality predictors of team performance, yet one of the weakest personality predictors of individual-level job performance. In this study, we examined why teams with more agreeable members perform better. Data were collected across 4 months at 5 points in time from 107 project teams. We found that agreeableness affects performance through communication and cohesion and that communication precedes cohesion in time. Furthermore, we found that virtualness moderated the relationships between agreeableness and communication, as well as between agreeableness and team performance, such that teams only benefitted from high levels of agreeableness when interacting face-to-face.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

    Universities and community-based research in developing countries: community voice and educational provision in rural Tanzania

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    The main focus of recent research on the community engagement role of universities has been in developed countries, generally in towns and cities and usually conducted from the perspectives of universities rather than the communities with which they engage. The purpose of this paper is to investigate the community engagement role of universities in the rural areas of developing countries, and its potential for strengthening the voice of rural communities. The particular focus is on the provision of primary and secondary education. The paper is based on the assumption that in order for community members to have both the capacity and the confidence to engage in political discourse for improving educational capacity and quality, they need the opportunity to become involved and well-versed in the options available, beyond their own experience. Particular attention is given in the paper to community-based research (CBR). CBR is explored from the perspectives of community members and local leaders in the government-community partnerships which have responsibility for the provision of primary and secondary education in rural Tanzania. The historical and policy background of the partnerships, together with findings from two case studies, provide the context for the paper

    The role of mathematical modeling in VOC analysis using isoprene as a prototypic example

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    Isoprene is one of the most abundant endogenous volatile organic compounds (VOCs) contained in human breath and is considered to be a potentially useful biomarker for diagnostic and monitoring purposes. However, neither the exact biochemical origin of isoprene nor its physiological role are understood in sufficient depth, thus hindering the validation of breath isoprene tests in clinical routine. Exhaled isoprene concentrations are reported to change under different clinical and physiological conditions, especially in response to enhanced cardiovascular and respiratory activity. Investigating isoprene exhalation kinetics under dynamical exercise helps to gather the relevant experimental information for understanding the gas exchange phenomena associated with this important VOC. A first model for isoprene in exhaled breath has been developed by our research group. In the present paper, we aim at giving a concise overview of this model and describe its role in providing supportive evidence for a peripheral (extrahepatic) source of isoprene. In this sense, the results presented here may enable a new perspective on the biochemical processes governing isoprene formation in the human body.Comment: 17 page

    Voiceless but empowered farmers in corporate supply chains: contradictory imagery and instrumental approach to empowerment

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    There have been calls for a shift of focus towards the political and power-laden aspects of transitioning towards socially equitable global supply chains. This paper offers an empirically grounded response to these calls from a critical realist stance in the context of global food supply chains. We examine how an imaginary for sustainable farming structured around an instrumental construction of empowerment limits what is viewed as permissible, desirable and possible in global food supply chains. We adopt a multimodal Critical Discourse Analysis (CDA) to examine the sustainable farming imaginary for smallholder farmers constructed by one large organization, Unilever, in a series of videos produced and disseminated on YouTube. We expose the underlying mechanisms of power and marginalization at work within the sustainability imaginary and show how “empowerment” has the potential to create of new dependencies for these farmers. We recontextualize the representations to show that while the imaginary may be commercially feasible, it is less achievable in terms of empowering smallholder farmers

    IT controls in the public cloud : success factors for allocation of roles and responsibilities

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    The rapid adoption of cloud computing by organizations has resulted in the transformation of the roles and responsibilities of staff in managing the information technology (IT) resources (via IT governance controls) that have migrated to the cloud. Hence, the objective of this research is to provide a set of success factors that can assist IT managers to allocate the roles and responsibilities of IT controls appropriately to staff to manage the migrated IT resources. Accordingly, we generated a set of success factors from behavioral and information systems (IS) literature. These success factors were verified using in-depth interviews of executives from the United Arab Emirates (UAE). The empirical intervention suggests that the role allocation is driven predominantly by people’s skills, competencies, organizational strategy, structures, and policies. In addition, the research made clear that the most significant competency and skill for a person allocated to IT controls is to be able to evaluate and manage a cloud service provider, especially in terms of risks, compliance, and security issues related to public cloud technology. The findings of this study not only offer new insights for scholars and practitioners involved in assigning responsibilities but also provide extensions for IT governance framework authorities to align their guidelines to the emerging cloud technology

    A mathematical model for breath gas analysis of volatile organic compounds with special emphasis on acetone

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    Recommended standardized procedures for determining exhaled lower respiratory nitric oxide and nasal nitric oxide have been developed by task forces of the European Respiratory Society and the American Thoracic Society. These recommendations have paved the way for the measurement of nitric oxide to become a diagnostic tool for specific clinical applications. It would be desirable to develop similar guidelines for the sampling of other trace gases in exhaled breath, especially volatile organic compounds (VOCs) which reflect ongoing metabolism. The concentrations of water-soluble, blood-borne substances in exhaled breath are influenced by: (i) breathing patterns affecting gas exchange in the conducting airways; (ii) the concentrations in the tracheo-bronchial lining fluid; (iii) the alveolar and systemic concentrations of the compound. The classical Farhi equation takes only the alveolar concentrations into account. Real-time measurements of acetone in end-tidal breath under an ergometer challenge show characteristics which cannot be explained within the Farhi setting. Here we develop a compartment model that reliably captures these profiles and is capable of relating breath to the systemic concentrations of acetone. By comparison with experimental data it is inferred that the major part of variability in breath acetone concentrations (e.g., in response to moderate exercise or altered breathing patterns) can be attributed to airway gas exchange, with minimal changes of the underlying blood and tissue concentrations. Moreover, it is deduced that measured end-tidal breath concentrations of acetone determined during resting conditions and free breathing will be rather poor indicators for endogenous levels. Particularly, the current formulation includes the classical Farhi and the Scheid series inhomogeneity model as special limiting cases.Comment: 38 page
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