Motivating, testing, and publishing curvilinear effects in management research

Abstract

Curvilinear relationships are a powerful tool to conceptually express and empirically test complex relationships, and thus to advance understanding of the underlying theories and their implications for management practice. Yet, my practical experiences as an editor show that non-linear functions need to be handled carefully in ways that many authors do not seem to be aware of. This editorial thus discusses opportunities and tripwires of theoretical and empirical studies using curvilinear effects, with the aim to enhance the quality of manuscripts submitted for consideration at APJM. © 2008 Springer Science+Business Media, LLC.