A reporting guideline for IS survey research

Hui, Wendy, Lui, Siu Man (Carrie), and Lau, Wai Kwong (John) (2019) A reporting guideline for IS survey research. Decision Support Systems, 126. 113136.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1016/j.dss.2019.11313...


As a research method, the survey is known to be subject to various types of biases. Nevertheless, a survey is often the most direct and cost-effective way to solicit people's opinions. We emphasize that, regardless of the data collection method, it is impossible to remove all potential biases in a research setting. Aside from adhering to research design best practice, authors are responsible for providing sufficient transparency in the reporting of their work to enhance replicability and to allow others to evaluate the validity of their research. In this paper, we develop a reporting guideline for IS survey research. Researchers conducting IS survey research can use this guide as a checklist when they prepare their manuscripts, and peer reviewers can use it to evaluate research quality and the sufficiency of reporting. We hope that similar guidelines can be developed for other IS research methods and that their use and endorsement by research outlets can motivate researchers to pay greater attention to research design and data quality.

Item ID: 61690
Item Type: Article (Research - C1)
ISSN: 1873-5797
Keywords: replicability, reporting guidelines, survey
Copyright Information: © 2019 Elsevier B.V.
Funders: Queensland Department of Local Government
Date Deposited: 07 May 2020 22:01
FoR Codes: 44 HUMAN SOCIETY > 4407 Policy and administration > 440710 Research, science and technology policy @ 100%
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page