Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgements
- 1 Introduction
- 2 Definition and Evolution of Information Systems Development Methodologies and Data Modeling
- 3 Philosophical Foundations
- 4 Conceptual and Paradigmatic Foundations of ISD
- 5 Paradigmatic Analysis of ISD Methodologies
- 6 Conceptual and Paradigmatic Foundations of Data Modeling
- 7 Paradigmatic Analysis of Data Modeling Approaches
- 8 Conclusions
- Appendix A Summaries of Selected Methodologies
- Bibliography
- Index
8 - Conclusions
Published online by Cambridge University Press: 05 November 2011
- Frontmatter
- Contents
- Preface
- Acknowledgements
- 1 Introduction
- 2 Definition and Evolution of Information Systems Development Methodologies and Data Modeling
- 3 Philosophical Foundations
- 4 Conceptual and Paradigmatic Foundations of ISD
- 5 Paradigmatic Analysis of ISD Methodologies
- 6 Conceptual and Paradigmatic Foundations of Data Modeling
- 7 Paradigmatic Analysis of Data Modeling Approaches
- 8 Conclusions
- Appendix A Summaries of Selected Methodologies
- Bibliography
- Index
Summary
Introduction
In this book we have tried to provide insights into information systems development and data modeling through a philosophical and conceptual analysis. More specifically, we have sought to meet the two goals articulated in chapter 1:
(1) to trace systematically the complexity of IS development to a set of beliefs about its domain of change; and
(2) to point out that IS development cannot be reduced to ‘technological fixes’.
The first goal was addressed by demonstrating how a wide range of IS methodologies and data modeling approaches take radically different stances about the nature of the organization, data, information system, and what it means to change them. A careful analysis of the differences led us to perceive the inherent complexity of social change which is associated with IS development. The second goal was addressed by pointing out that there is inherent complexity in the social condition and environment of systems development which escapes technological solutions; indeed, such complexity is often amplified through such technological solutions. We hope that the reader, having taken the time and pains to consider our ideas, agrees with our initial position that the IS community should not ignore the philosophical controversies which have raged over the social sciences during the past decades as they fundamentally impact upon our understanding of IS. These controversies are also reflected in the debate which has arisen about the nature of computer science and information systems as disciplines.
- Type
- Chapter
- Information
- Information Systems Development and Data ModelingConceptual and Philosophical Foundations, pp. 234 - 238Publisher: Cambridge University PressPrint publication year: 1995