文章基本信息

标题：Evidence Quality, Transparency, and Translucency for Replication in Information Systems Survey Research
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作者：Mohammad Daneshvar Kakhki ; Reza Mousavi ; Prashant Palvia 等
期刊名称：Communications of the Association for Information Systems
印刷版ISSN：1529-3181
出版年度：2021
卷号：49
页码：57-85
DOI：10.17705/1CAIS.04903
语种：English
出版社：Association for Information Systems
摘要：Replicability represents the cornerstone of reliable development in science. In this paper, we develop a framework for enhancing current data-collection practices’ replicability in survey research in information systems. To develop the framework, we built on literature, benchmarks of various scientific associations, and a review of policies and best practices in leading business journals. The framework identifies best practices for transparently collecting data, sharing data and methods, and developing high-quality evidence. We analyzed 82 recently published survey research in nine IS journals as a sample that represents high-quality IS research to identify their replicability and found that not one papers provided enough details for replication. We conclude by discussing our framework’s implications for researchers, journals, and scientific institutions and the role that these entities can play in enhancing IS research’s replicability.
关键词：Replicability;Transparency;Translucency;Evidence Quality;Information Systems;Survey Research