61 research outputs found

    Unsplit algorithms for multidimensional systems of hyperbolic conservation laws with source terms

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    This work describes an unsplit, second-order accurate algorithm for multidimensional systems of hyperbolic conservation laws with source terms, such as the compressible Euler equations for reacting flows. It is a MUSCL-type, shock-capturing scheme that integrates all terms of the governing equations simultaneously, in a single time-step, thus avoiding dimensional or time-splitting. Appropriate families of space-time manifolds are introduced, along which the conservation equations decouple to the characteristic equations of the corresponding 1-D homogeneous system. The local geometry of these manifolds depends on the source terms and the spatial derivatives of the flow variables. Numerical integration of the characteristic equations is performed along these manifolds in the upwinding part of the algorithm. Numerical simulations of two-dimensional detonations with simplified kinetics are performed to test the accuracy and robustness of the algorithm. These flows are unstable for a wide range of parameters and may exhibit chaotic behavior. Grid-convergence studies and comparisons with earlier results, obtained with traditional schemes, are presented

    Cultural and leadership predictors of corporate social responsibility values of top management: A GLOBE study of 15 countries.

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    This paper examines cultural and leadership variables associated with corporate social responsibility values that managers apply to their decision-making. In this longitudinal study, we analyze data from 561 firms located in 15 countries on five continents to illustrate how the cultural dimensions of institutional collectivism and power distance predict social responsibility values on the part of top management team members. CEO visionary leadership and integrity were also uniquely predictive of such values. Journal of International Business Studies (2006) 37, 823–837. doi:10.1057/palgrave.jibs.8400230

    The Mediating Role of Political Tactics on the Organizational Context: Career Success Relationship

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    This study seeks to explore the international entrepreneurial orientation – international performance association taking into account contingency and configuration examinations including environmental hostility and political behavior. The evidence draws from activities on 113 US and 207 Greek internationalised firms. Results show that there is a direct positive association between international entrepreneurial orientation and performance in both samples. While there is no supporting evidence for contingency associations, the results suggest that the configurational hypothesis receives support in the Greek sample. This is seemingly the first research that provides such evidence in the international entrepreneurship literature. Research and managerial implications are discussed

    E-HRM adoption and diffusion: a cross-national application of diffusion of innovation and institutional theories

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    The present study builds on diffusion of innovation (DOI) and institutional theories in order to address the current lack of cross-national studies on e-HRM adoption and usage. The core research questions is: What factors influ-ence e-HRM technology adoption and usage for HRM? We analysed direct and mediation paths related to country, organizational and HRM factors among 3815 organizations in 21 countries in a multilevel approach. The results largely supported the hypotheses. Specifically, national systems supporting innovative behaviours foster the extent of e-HRM adoption and e-HRM usage through e-HRM adoption. At the organizational level economical sector of activity, size, global competition and the educational level were associated with e-HRM adoption and usage. Moreover, a strategic orientation of the HR function seems to be a prerequisite for e-HRM adoption and usage. The theoretical and practical implications are discussed

    Development of a Dust Violation Control Tool from Plant Data

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    Mining is an equipment-intensive industry that utilizes machinery both in production and mineral processing. As an essential part of sustainable development, mining is subject to environmental management from many aspects. The decision-making process integrated into all stages of mining has to be based on reliable data. Available technology enables to track and monitor the production stages in mining by using various sensors and systems. Data related to mining and mineral processing activities have different characteristics and therefore might be handled in different IT infrastructures. However, the integration of these different data infrastructures is of key importance for management. Mineral processing plant equipment is potentially a data source of process type of data, unique by its volume and frequency. Analyzing process type of data, such as sensors, is a challenging task for engineers that work in a dynamic work environment. Belt conveyors located in the mineral processing plants transport material between different stages such as crushing and grinding which are monitored by sensor systems. The data collected by these sensors is commonly visualized on SCADA screens and can provide real-time data about the operation. This study focuses on the available sensor data of belt conveyors in a mineral processing plant with an aim to manage the dust generated during material transportation. The belt conveyors and the water spraying systems are equipped with tags that provide data for daily management. A data integration tool was developed to create an alarm system to track whether the dust suppression systems were active during material was conveyed in the mineral processing plant. As a result, violations of dust suppression were identified, and the alarm system was integrated into the environmental management system of the operation

    Average-phase calculations with near-field diffraction algorithms for the Space Interferometry Mission

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    This work reports on the computation of the average phase of a beam over an optical element via discrete Fourier transform techniques. The objective is to develop accurate diffraction models for the Space Interferometry Mission (SIM). Applications related to SIM include calibration of metrology measurements, evaluation of cornercube diffraction effects, and others. The algorithms that are used to compute the field are described and numerical tests that assess their accuracy are presented
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