An empirical study of users as application developers
Information and Management - Annals of discrete mathematics, 24
End-user computing: the MIS managers' perspective
Information and Management
A laboratory study of user characteristics and decision-making performance in end-user computing
Information and Management
Harvard Business Review
Training end users: an exploratory study
MIS Quarterly
Factors of success for end-user computing
Communications of the ACM
The management of end user computing
Communications of the ACM
User developed computer-based applications: a model of the factors of success
User developed computer-based applications: a model of the factors of success
An investigation of strategies for supporting and controlling user development of computer applications (management information systems (mis))
An empirical study of end-user computing support in large organizations
An empirical study of end-user computing support in large organizations
The diffusion of information technology: testing and extending innovation diffusion theory in the context of end-user computing
Journal of Management Information Systems - Special section: Exploring the outlands of the MIS discipline
Small-firm computing: motivators and inhibitors
MIS Quarterly
Assessment of End-User Computing from an Organizational Perspective
Information Resources Management Journal
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Much has been written in recent years on end user computing, based on assumptions concerning the motivations and attributes of end users. Most of this research has been descriptive in nature with little theoretical basis. The empirical study described in this paper was intended to assess factors affecting the intensity of participation in end user computing, while at the same time grounding the research on a firm theoretical base.Theory suggested three major groups of variables affecting intensity of participation in end user computing - organizational factors, top management leadership, and individual factors. Examination of survey data indicated that organizational and top management factors played no part in determining the intensity of EUC while there is a strong relationship between individual factors and intensity of EUC. The individual factors found relevant were reasons for using EUC, use made of the outputs, rank in the organization, years of experience with computers, and the type of hardware used.