A reporting guideline for IS survey research

Wendy HUI, Siu Man Carrie LUI, Wai Kwong John LAU

Research output: Journal PublicationsJournal Article (refereed)

2 Citations (Scopus)

Abstract

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.
Original languageEnglish
Article number113136
JournalDecision Support Systems
Volume126
Early online date20 Aug 2019
DOIs
Publication statusPublished - Nov 2019

Keywords

  • Replicability
  • Reporting guidelines
  • Survey

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