Replication in Strategic Management
Reproducibility of results lies at the core of modern science. It is vital to building a cumulative body of thought that is reliable. Yet journals relevant to strategic management do not publish replication studies. Recently, the need for replication has become much more apparent as published replications have overturned key results in drug therapy and clinical practice within medical science. Even double blind experimental studies, the gold standard for establishing causal relationships have been questioned. In fact, the need for replication is deeply embedded in the probabilistic logic of estimating statistical significance. Within strategic management, there is potential for data snooping, which can result in exaggerated significance levels. This is exacerbated by the common practice in management research of publishing only supporting results (i.e., significant coefficients). Furthermore, without replication, phenomenon-based empirical regularities, or stylized facts as they are often called, cannot be developed and studied. Such empirical regularities have been and are important in the development of strategic management theory (e.g., learning curves, diversification patterns/performance, conditions favoring joint ventures). The submission deadline is October 1, 2014.
Richard Bettis University of North Carolina-Chapel Hill
Constance Helfat Dartmouth College
J Myles Shaver University of Minnesota
New Theory in Strategic Management
As Strategic Management has continued to evolve and grow as a field, its research base has become predominantly empirical. Quantitative and qualitative empirical studies, which typically include deductive or inductive hypotheses, have grown in absolute and relative terms when compared with purely theoretical contributions. Often these hypotheses are derived from theories that were developed some time ago. While we continue to make progress in refining our understanding of these theories, one wonders if there aren't important questions in the field that are not well covered by existing theories. The submission deadline is November 1, 2014.
Jay Barney University of Utah
Richard Burton Duke University
Donald Hambrick Penn State University
Richard Makadok Emory University
Edward Zajac Northwestern University
Click here to read about the submission guidelines or to submit online.