Despite the possible benefits of implementing healthcare information technologies, successful implementation of effective healthcare information technology is constrained by cultural and regulatory concerns and technical obstacles encountered when establishing or upgrading an organisation's enterprise infrastructure. In this paper, we advance Ross' four-stage model of enterprise architecture maturity as a valuable IT resource for helping healthcare organisations sustain a competitive advantage. We use partial least squares (PLS) structural equation modelling to analyse survey data from 164 US hospitals at different stages of EA maturity. Our results provide evidence that enterprise architecture maturity directly influences the effectiveness of hospitals' IT resources for achieving strategic goals. Further, enterprise architecture maturity indirectly influences the effectiveness of IT resources when IT alignment is incorporated as a mediating variable. We discuss the implications of our findings for research and practice and suggest opportunities for future research.

Tracking the changing competitive conditions of the software industry.

Information security is often viewed as a technological matter. However, security professionals will readily admit that without safe practices by users, no amount or type of technology will be effective at preventing unauthorized intrusions. By paralleling the practices of information security and health prevention, a rationale for employing constructs from existing models of health behavior is established. A comprehensive and parsimonious model (the Security Belief Model) is developed to explain information security behavior intentions. The model is tested empirically based on a sample of 237 Indian professionals. The results of the empirical study indicate general support for the model, particularly including severity, susceptibility, benefits, and a cue to action as antecedents to the intention to perform preventive information security behaviors. The paper also discusses implications of the model and results for practitioners and possibilities for future research are included.

This paper presents a research agenda for studying information systems using open source software A multi-level research model is developed at five discrete levels of analysis: (1) the artifact; (2) the individual; (3) the team, project, and community; (4) the organization; and (5) society. Each level is discussed in terms of key issues within the level. Examples are based on prior research. In a companion paper, [Niederman, et al 2006], we view the agenda through the lens of referent discipline theories.