The Case for Expanding the Domain of Registered Reports: Confronting Academic Dishonesty and Declining Confidence in Science

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ABSTRACTHuman Resource Management Journal is expanding the scope of registered reports to encompass all forms of empirical research in human resource management, regardless of data type or methodological approach. This editorial explains the rationale for this change. I begin by defining registered reports and tracing their origins. I then argue that academia's prevailing “publish or perish” culture has significantly eroded public confidence in science. The pressure to publish has fostered questionable research practices and diminished the overall quality of scholarship across disciplines, including management and business studies. I contend that registered reports—particularly in their expanded form—help guard against many of these practices and promote greater integrity in research. I conclude by offering practical guidance on how to construct a registered report.

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  • Greg G Wang + 4 more

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Human Resource Management as a Field of Research*
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  • Fernando Martín‐Alcázar + 2 more

Drawing on Snow and Thomas's (Journal of Management Studies, 31 (1994), pp. 457–480) matrix, we empirically explore the state of the art in human resource management (HRM) research. The data were obtained through a questionnaire directed to HRM scholars all over the world, in which they were asked about their particular theoretical and methodological approaches. The evidence obtained shows clearly that HRM scholars are progressively abandoning the universalistic perspective and completing their models with contingent and contextual variables. Trying to classify the different contributions proposed and discuss their integration, HRM is described as a field of research with three dimensions: subfunctional, strategic and international. The paper concludes that to provide reliable explanations and valid responses to professional problems, HRM research must advance simultaneously in these three dimensions. As follows from our analysis, there are certain HR issues that still need to be addressed: (1) the strategic use of HR practices, (2) their international applicability, (3) global HR strategies and (4) the synergic integration of HR activities. Nevertheless, to advance our knowledge in these issues, it seems necessary to integrate previous research in subfunctional, strategic and international aspects of HRM.

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Principles and Applications of Multilevel Modeling in Human Resource Management Research
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Multilevel modeling is important for human resource management (HRM) research in that it often analyzes and interprets hierarchal data residing at more than one level of analysis. However, HRM research in general lags behind other disciplines, such as education, health, marketing, and psychology in the use of a multilevel analytical strategy. This article integrates the most recent literature into the theoretical and applied basics of multilevel modeling applicable to HRM research. A range of multilevel modeling issues have been discussed and they include statistical logic underpinning multilevel modeling, level conceptualization of variables, data aggregation, hypothesis tests, reporting mediation paths, and cross‐level interactions. An empirical example concerning complex cross‐level mediated moderation is presented that will suffice to illustrate the principles and the procedures for implementing a multilevel analytical strategy in HRM research. © 2015 Wiley Periodicals, Inc.

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