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Abstract

Theory testing work is popular in information systems (IS), with many studies using questionnaires, experiments, or other methods to gather quantitative data and test hypotheses with statistical techniques. This editorial note highlights some of the obstacles that theory testing researchers face, and assists authors so that their papers will not be rejected outright on submission, nor slowed unnecessarily in the review process. In particular, we identify three obstacles relating to theorizing and five related to methods. We provide guidance on how authors can deal with each obstacle, and include examples of studies that have successfully addressed the obstacle. We hope that our editorial will encourage authors to take better note of these obstacles and to give further consideration to avoiding them when they plan and conduct their research studies.

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