[AISWorld] New Journal: AIS Transactions on Replication Research

[Dennis, Alan R.]

We are pleased to announce the launch of AIS Transactions on Replication Research, a new journal published by AIS that is devoted to replications of prior research (http://aisel.aisnet.org/trr/). The Editors-in-Chief are Alan Dennis (ardennis at indiana.edu<mailto:ardennis at indiana.edu>) and Joe Valacich (valacich at email.arizona.edu<mailto:valacich at email.arizona.edu>).

In the physical sciences, new knowledge is often not considered valid until the original study has been replicated in other labs. This independent validation is seen as crucial to the advancement of science, yet the social sciences traditionally have not followed this approach.

The mission of Transactions on Replication Research (TRR) is to publish replications of Information Systems studies that have been published in other journals until scientific consensus is reached on a topic. All topics in IS are open for consideration. Articles will either support the findings of the original article or provide results that do not (e.g., nonsignificance). Either outcome will advance science. If the original article results are replicated, then the replication provides external third-party validation of the results and a generalization of the original contribution.  If the new article fails to replicate the original results, this doesn’t mean the original results are “wrong”; just that they don’t generalize to the new context, which should trigger additional replications and new follow-on research in other journals that seek to understand in what contexts the theory applies and why the original findings are only generalizable to those contexts.
Authors are strongly encouraged to read our founding editorial that argues for the importance of replication. It is available on the journal’s web site. In general, TRR aims to publish three types of replications:

  1.  Exact Replications: These articles are exact copies of the original article in terms of method and context. All measures, treatments statistical analyses, etc. will be identical to those of the original study. The context will also be the same, so if the original study used US undergraduate business students, Mechanical Turk, employees of a Finnish telecom, etc., so too will an exact replication study.
  2.  Methodological Replications: These articles use exactly the same methods as the original study (i.e., measures, treatments, statistics etc.) but are conducted in a different context. For example, if the original study used US undergraduate business students, the replication might use US graduate students, undergraduates from Hong Kong, US professionals, and so on.
  3.  Conceptual Replications: These articles test exactly the same research questions or hypotheses, but use different measures, treatments, and/or analyses. For example, these replications might alter the wording of items used to measure key constructs or use different software to implement a treatment in an experiment. Likewise, studies that attempt to test the boundaries of the theory and the strength of a relationship using explained variance and effect sizes are particularly welcomed.
Conceptual replications are the strongest form of replication because they ensure that there is nothing idiosyncratic about the wording of items, the execution of treatments, or the culture of the original context that would limit the research conclusions. TRR is open to all forms of replication, but we are particularly interested in conceptual replications.

TRR does not have restrictions on length because as an electronic journal it does not have page limits. However, all manuscripts should be written concisely. In general, papers should be 12 pages or less (excluding abstract, tables, figures, appendices, and references).

This is a new endeavor for us as a discipline, so we encourage you to contact either Editor-in-Chief with questions prior to beginning a replication study.

We look forward to reading your papers,
Alan and Joe


Senior Editors
Sue Brown, University of Arizona (suebrown at eller.arizona.edu<mailto:suebrown at eller.arizona.edu>)
Traci Carte, Kennesaw State University (tcarte at kennesaw.edu<mailto:tcarte at kennesaw.edu>)
Fred Davis, University of Arkansas (fdavis at walton.uark.edu<mailto:fdavis at walton.uark.edu>)
Allen Lee, Virginia Commonwealth University (aslee at vcu.edu<mailto:aslee at vcu.edu>)
Carol Saunders, University of Central Florida (csaunders at bus.ucf.edu<mailto:csaunders at bus.ucf.edu>)
Saonne Sarker, University of Virginia (saonee.sarker at comm.virginia.edu<mailto:saonee.sarker at comm.virginia.edu>)
Merrill Warkentin, Mississippi State University (m.warkentin at msstate.edu<mailto:m.warkentin at msstate.edu>)
Edgar Whitley, London School of Economics and Political Science (e.a.whitley at lse.ac.uk<mailto:e.a.whitley at lse.ac.uk>)

Advisory Board Members
Izak Benbasat, University of British Columbia (izak.benbasat at sauder.ubc.ca<mailto:izak.benbasat at sauder.ubc.ca>)
Detmar Straub, Georgia State University (dstraub at gsu.edu<mailto:dstraub at gsu.edu>)
Hugh Watson, University of Georgia (hwatson at uga.edu<mailto:hwatson at uga.edu>)

Managing Editor
Taylor Wells, California State University, Sacramento (taylor.wells at csus.edu<mailto:taylor.wells at csus.edu>)


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