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AbstractThe purpose of this study is to identify multi‐level determinants of company support for employee volunteering (CSEV). This study surveyed 251 senior managers in firms operating in the USA. Multiple regression analysis was used to uncover multi‐level antecedents of CSEV. In addition, we conducted logistic regression to identify which factors predict whether employees in general and executive managers participate in volunteering. The results of this study showed that humanistic culture and stakeholder pressure on corporate social responsibility (CSR) were significantly related to CSEV. Findings from logistic regression indicated that employees volunteered more when a company had higher levels of humanistic culture and perceived more pressure on CSR from stakeholders. For a corporation to successfully implement CSR initiatives through employee volunteering, this study suggests that a senior manager should recognize two major determinants of CSEV: humanistic culture and stakeholder pressure on CSR. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment

In order to assess the accuracy and validity of subchannel, system, and computational fluid dynamics codes, the Paul Scherrer Institut has participated in the OECD/NRC PSBT benchmark with the thermal-hydraulic system code TRACE5.0 developed by US NRC, the subchannel code FLICA4 developed by CEA, and the computational fluid dynamic code STAR-CD developed by CD-adapco. The PSBT benchmark consists of a series of void distribution exercises and departure from nucleate boiling exercises. The results reveal that the prediction by the subchannel code FLICA4 agrees with the experimental data reasonably well in both steady-state and transient conditions. The analyses of single-subchannel experiments by means of the computational fluid dynamic code STAR-CD with the CD-adapco boiling model indicate that the prediction of the void fraction has no significant discrepancy from the experiments. The analyses with TRACE point out the necessity to perform additional assessment of the subcooled boiling model and bulk condensation model of TRACE.