Adoption intention in GSS: relative importance of beliefs
ACM SIGMIS Database - Special double issue: diffusion of technological innovation
Targeting COBOL programmers for C training: the role of job insecurity and organizational tenure
Journal of Systems and Software
Communications of the ACM
The antecedents and consequents of user perceptions in information technology adoption
Decision Support Systems
On site: global perceptions of IS journals
Communications of the ACM
Gender differences in perceptions of web-based shopping
Communications of the ACM - Evolving data mining into solutions for insights
Individual differences and relative advantage: the case of GSS
Decision Support Systems
Information Systems Research
Research Commentary. Academic Rewards for Teaching, Research, and Service: Data and Discourse
Information Systems Research
Information Technology and Management
Computer technology adoption in Saudi Arabia: correlates of perceived innovation attributes
Information Technology for Development
Factors influencing the adoption of web-based shopping: the impact of trust
ACM SIGMIS Database
An integrated model of information systems adoption in small businesses
Journal of Management Information Systems
The Impact of Perceived Innovation Characteristics on Intention to Use Groupware
Information Resources Management Journal
A Comparison of American and Indian Consumers' Perceptions of Electronic Commerce
Information Resources Management Journal
Information Resources Management Journal
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Although scale reuse is an important and efficient research practice, it may not always be the most appropriate practice. Mechanistically reusing scales developed for a particular context may lead to a variety of undesirable effects. One of the risks is that frequently reused scales can inadvertently begin to alter the definitions of related constructs. When this occurs, a full understanding of the constructs can be lost. Innovation diffusion is one area in which evidence suggests that this has occurred, specifically for relative advantage and compatibility. This article seeks to better understand the risks of mechanistic scale reuse within the information systems field, with a specific focus on the relative advantage and compatibility constructs. We review the information systems literature focusing on IT adoption and diffusion, examining the theoretical and empirical relationships between relative advantage and compatibility. Evidence from this review indicates that there may be both conceptual and empirical overlap between the two, which has led to inconsistent empirical and theoretical treatment of the constructs across studies. We also report an empirical examination of the domain coverage of the scales, which provides evidence that the scales a) exhibit a high degree of conceptual and empirical overlap and b) only represent a subset of their full conceptualization. We offer recommendations for researchers who wish to use these constructs in future work.