%0 Journal Article %1 king_evolution_1984 %A King, John Leslie %A Kraemer, Kenneth L. %D 1984 %K computing, computing,nolan's evolution model of stages %P 466-475 %T Evolution and organizational information systems: an assessment of Nolan's stage model %V 27 %X 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.

@article{king_evolution_1984, abstract = {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.}, added-at = {2007-10-19T18:55:16.000+0200}, author = {King, John Leslie and Kraemer, Kenneth L.}, biburl = {https://www.bibsonomy.org/bibtex/26e39f1dd1112b852b356b6a43ca57103/neilernst}, description = {zotero}, interhash = {45731282faf9f004b28d50a036548f25}, intrahash = {6e39f1dd1112b852b356b6a43ca57103}, keywords = {computing, computing,nolan's evolution model of stages}, month = May, pages = {466-475 }, timestamp = {2007-10-19T18:55:18.000+0200}, title = {Evolution and organizational information systems: an assessment of Nolan's stage model }, volume = {27 }, year = 1984 }