9,389 research outputs found

    Putting the Horse Before the Cart: The Influence of Trigger Events on Justice Perceptions and Work Attitudes

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    To date very little research on organizational justice and work attitudes has focused on what starts the process that leads to these perceptions. A considerable amount of organizational research is focused on the end result (e.g., employees’ perceptions, attitudes, or behaviors), which can become difficult to effectively manage or change after-the-fact in a timely or productive manner (Tekleab et al., 2005). In this paper, two studies are conducted that explore a variety of events employees might notice and how they influence workplace outcomes. Study One explores 16 trigger events from prior research and surveys employees in a manufacturing organization about the events, and identifying 24 additional events. Study Two examines relationships between the trigger events and outcomes of pay and job satisfaction, organizational commitment, and intent to leave, using organizational justice as a mechanism for sensemaking. Results from Study Two show that trigger events significantly predicted all four workplace attitudes. Procedural justice was significantly related to all dependent variables, interactional justice was significantly related only to job satisfaction and intention to leave, marginally unrelated to pay satisfaction, and unrelated to organizational commitment. Distributive justice was significantly related to job satisfaction, intention to leave, and pay satisfaction, but not organizational commitment. Seven of the 48 interaction terms examined were significant. Limitations and implications for future research are discussed

    The “Name Game”: Affective and Hiring Reactions to First Names

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    Purpose – The paper seeks to examine how the uniqueness and ethnicity of first names influence affective reactions to those names and their potential for hire. Design/methodology/approach – In study 1, respondents evaluated 48 names in terms of uniqueness and likeability, allowing us to select names viewed consistently as Common, Russian, African-American, and Unusual. In Study 2 respondents assessed the uniqueness and likeability of the names, and whether they would hire someone with the name. Findings – Results indicated that Common names were seen as least unique, best liked, and most likely to be hired. Unusual names were seen as most unique, least liked, and least likely to be hired. Russian and African-American names were intermediate in terms of uniqueness, likeability and being hired, significantly different from Common and Unique names, but not significantly different from each other. Research limitations/implications – The name an individual carries has a significant impact on how he or she is viewed, and conceivably, whether or not the individual is hired for a job. Practical implications – Human resource professionals need to be aware that there seems to be a clear bias in how people perceive names. When resumés are screened for hiring, names should be left off. Our findings also suggest that when selecting, parents may want to reconsider choosing something distinctive. Originality/value – This study offers original findings in regards to names, combining diverse research from social psychology and labor economics, and offering practical implications

    Whiteness of A Name: Is “White” the Baseline?

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    Purpose– The purpose of this paper is to examine the hypothesis that Whiteness is used as a normative standard when comparing a variety of first names. Design/methodology/approach– Respondents (full- and part-time business students) evaluated names that sounded common, African-American, Russian, and unusual. Findings– Results from two studies suggest that “common” or “neutral” names are perceived to be white, and to be more American than African-American, Russian or unusual-sounding names. Results also demonstrate that the common names have more positive attributes, including socio-economic class. Research limitations/implications– The study found that the basic comparison of American respondents will be to a white person. Second, the authors applied Critical Race Theory (CRT) to the research on names. Finally, the authors demonstrate that unless they are totally anonymous, virtual teams will still have the type of social categorization and stereotyping of team members found in ordinary teams. Practical implications– Organizations and managers need to recognize that a “colorblind” approach simply reinforces the expectation that any differences in American organizations will be compared against the Whiteness standard. This can be a problem in any organizational setting, especially given the proliferation of virtual teams. This may be addressed with attempts to increase common in-group identity and strategies for identifying bias. Originality/value– In this research the authors integrate concepts and theory from Virtual Teams, CRT and the Psychology of Names, providing both theoretical and practical implications

    MCD and magnetization studies on nifB/nifZ minus molybdenum iron protein from Azotobacter vinelandii

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    This study reports a characterization of the iron-sulfur clusters of the MoFe protein expressed by the nifBnifZ deletion strain of A. vinelandii. VT-MCD spectroscopic and magnetization analysis of as-isolated ΔnifBΔnifZ MoFe protein were undertaken. VT-MCD spectra of as-isolated ΔnifBΔnifZ MoFe protein contains bands remarkably similar to those seen in as-isolated ΔnifH MoFe protein, assigned to arise from an [4Fe-4S]+ cluster. The low-temperature magnetization curve of as-isolated ΔnifBΔnifZ MoFe protein reveals the MCD spectra bands stem from an S = ½ spin system with diamagnetic contributions of some other species. As-isolated ΔnifBΔnifZ MoFe protein is compared with as-isolated ΔnifH MoFe protein, which contains a P-cluster precursor, and the as-isolated ΔnifB MoFe protein, which contains a fully assembled P-cluster ([8Fe-7S)]. Using nonlinear regression, the experimental magnetization curve of as-isolated ΔnifBΔnifZ MoFe protein is compared and factored to contributions from as-isolated ΔnifH MoFe protein and as-isolated ΔnifB MoFe protein. The simulation suggests a 1:1 ratio of ΔnifH MoFe protein to ΔnifB MoFe protein. These results suggests the as-isolated ΔnifBΔnifZ MoFe protein has an αβ subunit pair that contains a P-cluster and the other αβ subunit pair contains a latent (defined as immature, or potential) P-cluster (two [4Fe-4S] or P-cluster precursor)

    A Data Exchange Standard for Optical (Visible/IR) Interferometry

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    This paper describes the OI Exchange Format, a standard for exchanging calibrated data from optical (visible/infrared) stellar interferometers. The standard is based on the Flexible Image Transport System (FITS), and supports storage of the optical interferometric observables including squared visibility and closure phase -- data products not included in radio interferometry standards such as UV-FITS. The format has already gained the support of most currently-operating optical interferometer projects, including COAST, NPOI, IOTA, CHARA, VLTI, PTI, and the Keck Interferometer, and is endorsed by the IAU Working Group on Optical Interferometry. Software is available for reading, writing and merging OI Exchange Format files.Comment: 26 pages, 1 figur

    Emissions mitigation schemes in Australia - The past, present and future

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    Australia was one of the first countries in the world to adopt mandatory emissions trading schemes as part of its emissions mitigation program. To date there have been six states and one federal emissions mitigation schemes. Some state schemes operate in conjunction with other states or the federal scheme and some operate independently. This complex set of regulations and requirements for emitters has led to a deficiency in nationwide coverage with no firm target set for Australia. In July 2011 the Federal Labor Government released details of a carbon tax proposal which was passed by the two houses of Parliament by the end of 2011 and was introduced in July 2012. The Government states that an emissions trading scheme will be introduced in 2015 with a possible link to the European Emissions Trading Scheme (EU ETS). This paper provides a critical overview of Australian responses to climate change, with a particular emphasis on the numerous emissions mitigation schemes

    Male mutation bias and possible long-term effects of human activities.

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    The ability of a population to adapt to changing environments depends critically on the amount and kind of genetic variability it possesses. Mutations are an important source of new genetic variability and may lead to new adaptations, especially if the population size is large. Mutation rates are extremely variable between and within species, and males usually have higher mutation rates as a result of elevated rates of male germ cell division. This male bias affects the overall mutation rate. We examined the factors that influence male mutation bias, and focused on the effects of classical life-history parameters, such as the average age at reproduction and elevated rates of sperm production in response to sexual selection and sperm competition. We argue that human-induced changes in age at reproduction or in sexual selection will affect male mutation biases and hence overall mutation rates. Depending on the effective population size, these changes are likely to influence the long-term persistence of a population

    A Stochastic Geometric Analysis of Device-to-Device Communications Operating over Generalized Fading Channels

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    Device-to-device (D2D) communications are now considered as an integral part of future 5G networks which will enable direct communication between user equipment (UE) without unnecessary routing via the network infrastructure. This architecture will result in higher throughputs than conventional cellular networks, but with the increased potential for co-channel interference induced by randomly located cellular and D2D UEs. The physical channels which constitute D2D communications can be expected to be complex in nature, experiencing both line-of-sight (LOS) and non-LOS (NLOS) conditions across closely located D2D pairs. As well as this, given the diverse range of operating environments, they may also be subject to clustering of the scattered multipath contribution, i.e., propagation characteristics which are quite dissimilar to conventional Rayeligh fading environments. To address these challenges, we consider two recently proposed generalized fading models, namely κμ\kappa-\mu and ημ\eta-\mu, to characterize the fading behavior in D2D communications. Together, these models encompass many of the most widely encountered and utilized fading models in the literature such as Rayleigh, Rice (Nakagami-nn), Nakagami-mm, Hoyt (Nakagami-qq) and One-Sided Gaussian. Using stochastic geometry we evaluate the rate and bit error probability of D2D networks under generalized fading conditions. Based on the analytical results, we present new insights into the trade-offs between the reliability, rate, and mode selection under realistic operating conditions. Our results suggest that D2D mode achieves higher rates over cellular link at the expense of a higher bit error probability. Through numerical evaluations, we also investigate the performance gains of D2D networks and demonstrate their superiority over traditional cellular networks.Comment: Submitted to IEEE Transactions on Wireless Communication
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