Seventeen major types of information systems are identified and defined by vectors of their attributes and functions. These systems are then classified by numerical methods. The quantitative analysis is interpreted in terms of the development history of information system types. Two major findings are that the numerical classification autonomously follows the chronological appearance of system types and that, along the time line, systems have followed two major paths of development; these have been termed the applied artificial intelligence path and the human interface path. The development of new types of systems is considered within the framework of a theory of technological evolution. It is shown that newer types of systems result from gradual accretion of new technologies on one hand, and loss of older ones on the other. Conclusions are drawn concerning the value of taxonomy in studying information systems, in suggesting possible research directions, and the desirability of rationalizing research efforts within the IS discipline.
An empirical investigation of some relationships between organizational context and MIS structure is reported. The major findings are that MIS structure is significantly correlated with organizational structure which, in turn, is closely associated with organizational size. Additional relationships were found between organizational size and the rank of the MIS director, between implementor/user relationships and psychological climate toward MIS, and between the last two variables and degree of MIS integration.