Quantitative researchers often discuss research ethics as if specific ethical problems can be reduced to abstract normative logics (e.g., virtue ethics, utilitarianism, deontology). Such approaches overlook how values are embedded in every aspect of quantitative methods, including ‘observations,’ ‘facts,’ and notions of ‘objectivity.’ We describe how quantitative research practices, concepts, discourses, and their objects/subjects of study have always been value-laden, from the invention of statistics and probability in the 1600s to their subsequent adoption as a logic made to appear as (...) if it exists prior to, and separate from, ethics and values. This logic, which was embraced in the Academy of Management from the 1960s, casts management researchers as ethical agents who ought to know about a reality conceptualized as naturally existing in the image of statistics and probability (replete with ‘constructs’), while overlooking that S&P logic and practices, which researchers made for themselves, have an appreciable role in making the world appear this way. We introduce a different way to conceptualize reality and ethics, wherein the process of scientific inquiry itself requires an examination of its own practices and commitments. Instead of resorting to decontextualized notions of ‘rigor’ and its ‘best practices,’ quantitative researchers can adopt more purposeful ways to reason about the ethics and relevance of their methods and their science. We end by considering implications for addressing ‘post truth’ and ‘alternative facts’ problems as collective concerns, wherein it is actually the pluralistic nature of description that makes defending a collectively valuable version of reality so important and urgent. (shrink)

This editorial offers new ways to ethically practice, evaluate, and use quantitative research. Our central claim is that ready-made formulas for QR, including ‘best practices’ and common notions of ‘validity’ or ‘objectivity,’ are often divorced from the ethical and practical implications of doing, evaluating, and using QR for specific purposes. To focus on these implications, we critique common theoretical foundations for QR and then recommend approaches to QR that are ‘built for purpose,’ by which we mean designed to ethically address (...) specific problems or situations on terms that are contextually relevant. For this, we propose a new tool for evaluating the quality of QR, which we call ‘relational validity.’ Studies, including their methods and results, are relationally valid when they ethically connect researchers’ purposes with the way that QR is oriented and the ways that it is done—including the concepts and units of analysis invoked, as well as what its ‘methods’ imply more generally. This new way of doing QR can provide the liberty required to address serious worldly problems on terms that are both practical and ethically informed in relation to the problems themselves rather than the confines of existing QR logics and practices. (shrink)

In this editorial essay, we argue that business ethics research should be aware of the ethical implications of its own methodological choices, and that these implications include, but go beyond, mere compliance with standardized ethical norms. Methodological choices should be made specifically with reference to their effects on the world, both within and outside the academy. Awareness of these effects takes researchers beyond assuring ethics in their methods to more fully consider the ethics of their methods as knowledge practices that (...) have broader institutional consequences. Drawing from examples in published research, we examine five ways in which authors can formulate their methodological approaches with purpose, care and reflexivity. (shrink)

For this issue of JBE, Zyphur and Pierides :1–16, 2017) have written a paper on a concept that they have labeled relational validity. The purpose of the paper and of their advocacy for the concept of relational validity is to improve the way that quantitative research is done by expanding our understanding of its ethics-laden aspects. I agree entirely with the authors that every decision regarding QR is an ethics-laden one and that our research as a whole would be improved (...) by recognition of this fact. I disagree with the authors regarding some of the ways that this improvement might be brought about. (shrink)