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Organizational Research Methods (ORM) was established to bring relevant methodological developments to the attention of a broad range of researchers working in areas represented within the domains of the organizational sciences. An important goal of ORM is to promote a more effective understanding of current and new methodologies as applied in organizational research. Thus, articles should be understandable to a general audience and should assume background knowledge consistent with methodological and statistical training provided in contemporary organizational sciences doctoral programs. Authors should use the latter statement as a primary consideration when deciding whether to submit to ORM. This does not mean that new methodological and statistical procedures and concepts cannot be introduced. Indeed, this is highly encouraged and welcomed.
Several types of articles are appropriate for ORM. One type of article addresses questions about existing quantitative and qualitative methods and research designs currently used by organizational researchers and may involve a comparison of alternative available methods. Articles of this nature should focus on the relative strengths and weaknesses of the analytical technique(s) presented. A second type of article demonstrates new applications of existing quantitative or qualitative methods to substantive questions in organizational research. These articles should address the manner in which the new applications advance understanding of organizational research. A third type of article introduces methodological developments or techniques from other disciplines to organizational researchers. For these articles, the relative advantages of the new techniques should be clearly discussed. ORM also includes several reoccurring features including essays on methods, point/counterpoint debates, methods reviews, and computer software reviews. Articles that do not fit these categories may be submitted to ORM, as long as they are written in a manner consistent with the objectives stated above.
If the submission is a Monte Carlo simulation, the results must advance our understanding of the nature or use of a statistical technique in the context of organizational research. Authors must demonstrate that the issue being addressed has implications for "real" organizational situations. While the simulated data provide internal validity in some measure, it should be the author’s responsibility to show how the issue or topic of interest generalizes to “real” organizational situations and the implications of it doing so. One means of doing so could be the use of real data in parallel. Another means is to design the simulation using information from the literature to mimic real situations. Simulations should be described in sufficient detail so that readers could replicate the methodology.
Finally, scale or measurement development manuscripts that are applications of standard and established measurement development procedures are not encouraged. Manuscripts, however, that challenge standard and established measurement development procedures and present something new with respect to those procedures are encouraged.
Prospective authors must specify that their manuscript is not under consideration at another journal and that is has not been published elsewhere in substantially similar form or with substantially similar content. Further, if the manuscript represents a substantial revision of a previously rejected manuscript from ORM, it must be identified as such with the previous manuscript number and a letter outlining why you feel it should be considered in its new form.
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