This study surveyed data warehousing implementation project participants to determine what aspects they perceived should contribute to the implementation process. The respondents included: functional managers/staff, IS managers/staff, and consultants. The study identified eight significant factors that participants perceived should impact data warehouse implementation.

This correspondence is a response to "Comments on Factors that Impact Implementing a System Development Methodology," by Yadav et al. [24]. We are gratified to see that researchers are closely examining our work. However, we must take issue with the theoretical and methodological issues raised by Yadav et at. [24]. Simply put, the issues raised do not adversely affect our study, its theoretical foundation, its research methodology, its statistical methodology, or its results.

Presents the findings of empirical research from 61 companies, mostly from the USA, to identify the factors that may impact implementation of a system development methodology (SDM). The study uses a survey instrument to identify the SDM implementation factors. The survey focused on the perspective of the primary constituents: functional managers, information systems managers, system personnel and external consultants. The study uses an exploratory factor analysis that identifies five factors important to implementing an SDM: organizational SDM transition, functional management involvement/support, SDM transition, the use of models and external support. The research findings have important implications for further research and the practice of system development. For researchers, it points to important measures in the implementation and use of SDMs that may be further verified and extended in subsequent research. For practitioners, it provides a general guide to the important aspects to consider in the implementation and use of an SDM.

An emerging enterprise-wide orientation evidenced by comprehensive enterprise modeling supported by a technological architecture that includes computer aided software engineering (CASE) tools may empower knowledge and software engineers greater than ever before. An enterprise-wide orientation seeks to carry the strategy of an organization throughout its operations. Enterprise modeling makes it possible to have this panoramic view of the enterprise. An advanced technological architecture that includes CASE empowers enterprise functional personnel, knowledge engineers, and software engineers with the methodological and technological platform required to produce a comprehensive enterprise model. Current environmental trends are influencing how well organizations implement this enterprise-wide orientation, modeling perspective, and the methodological and technological platform.