Publish or Perish: Tips on Surviving the Journal Review Process

2006 ◽  
Author(s):  
George V. Gushue ◽  
Lisa Y. Flores
2017 ◽  
Vol 33 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Dana R. Hermanson

ABSTRACT In this essay, I reflect on my roughly 25 years in accounting research by discussing 25 topics related to (1) the journal review process, (2) specific types of accounting research, and (3) the research process. I hope that these observations will prompt additional thought and discussion, help accounting doctoral students and faculty to publish their research, and potentially challenge some readers.


Publications ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 33
Author(s):  
Emilija Stojmenova Duh ◽  
Andrej Duh ◽  
Uroš Droftina ◽  
Tim Kos ◽  
Urban Duh ◽  
...  

Scholarly communication is today immersed in publish-or-perish culture that propels non-cooperative behavior in the sense of strategic games played by researchers. Here we introduce and describe a blockchain based platform for decentralized scholarly communication. The design of the platform rests on community driven publishing reviewing processes and implements cryptoeconomic incentives that promote cooperative user behavior. The key to achieve cooperation in blockchain based scholarly communication is to transform today’s static research paper into a modifiable research paper under continuous peer review process. We introduce and discuss the implementation of a modifiable research paper as a smart contract on the blockchain.


2012 ◽  
Vol 27 (1) ◽  
pp. 129-139 ◽  
Author(s):  
Shane S. Dikolli ◽  
John H. Evans ◽  
Jeffrey Hales ◽  
Michal Matejka ◽  
Donald V. Moser ◽  
...  

SYNOPSIS Analytical models can quite naturally complement empirical data, whether archival or experimental. This article begins by discussing the advantages and disadvantages of combining an analytical model with archival or experimental data in a single study. We next describe how models are typically used in empirical research and discuss when including an analytical model is more versus less useful. Finally, we offer examples of more and less successful combinations of analytical models and empirical data, along with a brief discussion of how such studies are likely to fare in the journal review process. JEL Classifications: C02; C51; C99.


1996 ◽  
Vol 51 (11) ◽  
pp. 1190-1190 ◽  
Author(s):  
Beth A. Rabinovich

1997 ◽  
Vol 50 (2) ◽  
pp. 427-452 ◽  
Author(s):  
STEPHEN W. GILLILAND ◽  
JOSÉ M. CORTINA

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