AMD seeks to publish papers that use data to identify and propose plausible explanations for management and organizational anomalies (i.e., new or poorly understood phenomena), thereby facilitating important advances in management knowledge and practice.
Before sending your paper to AMD, ask yourself the following questions:
- Does my paper have preexisting hypotheses? If yes, then AMD is not a good fit for your paper.
- Can my findings be easily explained by existing theory? If yes, then you may not have a novel “discovery,” and AMD is not a good fit for your paper.
Your paper may be a good fit for AMD if it has the following:
- A clear description of the particulars of an unexplained phenomenon in its context
- These new or poorly understood phenomena or relations have demonstrable importance to management/organizational scholars and/or practitioners.
- Why that phenomenon is not easily explained by existing theory—showing a deep appreciation of the most plausible alternative theories or models that do NOT adequately explain the phenomenon.
- Methods that meet the highest standards of scientific rigor.
- Novel and compelling findings that emerge from empirical exploration; the discovery, if you will
- Data and findings that are sufficient to narrow down the range of plausible explanations and demonstrate plausible generalizability.
- Honest description of all aspects of study methodology.