Generalizing generalizability in information systems research

• 成果类型: Article; Proceedings Paper
• 署名作者: Lee, AS; Baskerville, RL
• 署名单位: Virginia Commonwealth University; University System of Georgia; Georgia State University
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047
• DOI: 10.1287/isre.14.3.221.16560
• 发表日期: 2003
• 页码: 221-243
• 关键词: E-mail; TECHNOLOGY; acceptance; RISK

摘要

Generalizability is a major concern to those who do, and use, research. Statistical, sampling-based generalizability is well known, but methodologists have long been aware of conceptions of generalizability beyond the statistical. The purpose of this essay is to clarify the concept of generalizability by critically examining its nature, illustrating its use and misuse, and presenting a framework for classifying its different forms. The framework organizes the different forms into four types, which are defined by the distinction between empirical and theoretical kinds of statements. On the one hand, the framework affirms the bounds within which statistical, sampling-based generalizability is legitimate. On the other hand, the framework indicates ways in which researchers in information systems and other fields may properly lay claim to generalizability, and thereby broader relevance, even when their inquiry falls outside the bounds of sampling-based research.