Principles of information systems for management (2nd ed.)
Principles of information systems for management (2nd ed.)
Social Analyses of Computing: Theoretical Perspectives in Recent Empirical Research
ACM Computing Surveys (CSUR)
The stage hypothesis and the s-curve: some contradictory evidence
Communications of the ACM
Managing the computer resource: a stage hypothesis
Communications of the ACM
The process of innovation in computing: a study of the social dynamics of computing
The process of innovation in computing: a study of the social dynamics of computing
Different perspectives on information systems: problems and solutions
ACM Computing Surveys (CSUR)
Growth stages of end user computing
Communications of the ACM
Identifying early adopters of large software systems
ACM SIGMIS Database
Critical success factors for information center managers
MIS Quarterly
Organizational issues of end-user computing
ACM SIGMIS Database
The evolution of information centers: a stage hypothesis
ACM SIGMIS Database
Corporate systems management: an overview and research perspective
Communications of the ACM
The reorganization of higher education through information technology: understanding the process
SIGUCCS '92 Proceedings of the 20th annual ACM SIGUCCS conference on User services
Staffing and managerial aspects of information systems in art museums: an example of nonprofits
SIGCPR '92 Proceedings of the 1992 ACM SIGCPR conference on Computer personnel research
Staffing and managerial aspects of information systems in art museums: an example of nonprofits
ACM SIGCPR Computer Personnel
Relationships between selected organizational factors and systems development
Communications of the ACM
The social dimensions of computerization
CHI '87 Proceedings of the SIGCHI/GI Conference on Human Factors in Computing Systems and Graphics Interface
Adding value to key issues research through Q-sorts and interpretive structured modeling
Communications of the AIS
A stage maturity model for enterprise resource planning systems use
ACM SIGMIS Database
A Theory for Classification of Health Care Organizations in the New Economy
Journal of Medical Systems
Scientific progress of management information systems
ACM SIGMIS Database
Developing an IS/ICT management capability maturity framework
SAICSIT '04 Proceedings of the 2004 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
Understanding intranets in the context of end-user computing
ACM SIGMIS Database
Understanding the outsourcing learning curve: A longitudinal analysis of a large Australian company
Information Systems Frontiers
Small-firm computing: motivators and inhibitors
MIS Quarterly
Public sector IS maturity models: legal pluralism invades public schools
EGOV'11 Proceedings of the 10th IFIP WG 8.5 international conference on Electronic government
Maturity models for management of information systems and technologies in healthcare
International Journal of Business Information Systems
Organizational adoption of open source software
Journal of Systems and Software
Corporate productivity and the stages of ICT development
Information Technology and Management
Information systems strategy: Quo vadis?
The Journal of Strategic Information Systems
Managing IS Development: A Contingency-Growth Approach
Information Resources Management Journal
Measurement of Information Technology Sophistication in Small Manufacturing Businesses
Information Resources Management Journal
An Empirical Reassessment of the Measure of Information System Sophistication
Information Resources Management Journal
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Richard Nolan's stage model is the best known and most widely cited model of computing evolution in organizations. The model's development over a decade demonstrates its own evolution from a simple theory, based on the factoring of change states indicated by changes in computing budgets, to an elaborate account of the characteristics of six stages of computing growth. An analysis of the model's logical and empirical structure reveals a number of problems in its formulation that help to account for the fact that its principal tenets have not been independently validated. The model is shown to be an “evolutionistic” theory within the theories of evolution in the social sciences, focusing on assumed directions of growth and an implied end state toward which growth proceeds, and suffering from problems inherent in such theories. Further research based on an “evolutionary” view of computing growth is suggested as a means of improving theories of computing in organizations.