The use of Bayesian methods for data analysis is creating a revolution in fields ranging from
genetics to marketing. Yet, results of our literature review, including more than 10,000 …

We rely on classic as well as recently published sources to offer a review of theory, research
design, and measurement issues that should be considered prior to conducting any …

Social science research has recently been subject to considerable criticism regarding the
validity and power of empirical tests published in leading journals, and business scholarship …

The widespread use of 'statistical significance'as a license for making a claim of a scientific
finding leads to considerable distortion of the scientific process (according to the American …

This paper introduces the “Bayesian revolution” that is sweeping across multiple disciplines
but has yet to gain a foothold in organizational research. The foundations of Bayesian …

We discuss seven methodological improvements that would stimulate important
advancements in management research. We refer to these improvements as 'wishes' that we …

Publication bias poses multiple threats to the accuracy of meta-analytically derived effect
sizes and related statistics. Unfortunately, a review of the literature indicates that unlike meta …

Organizational signals about corporate social responsibility may have a harmful impact on
equity markets for two main reasons. First, corporate social responsibility is not …

The issue of a published literature not representative of the population of research is most
often discussed in terms of entire studies being suppressed. However, alternative sources of …

The practice of hypothesizing after results are known (HARKing) has been identified as a
potential threat to the credibility of research results. We conducted simulations using input …