An Instrument to Classify End-Users Based On the User Cube
نویسنده
چکیده
End-user computing (EUC) has led to increased end-user productivity and satisfaction. In order to reduce the risks inherent to EUC, organizations should better manage EUC. As a first step different groups of end-users must be identified. Existing classification schemes have weaknesses and fail to capture the different roles contemporary end users play. Cotterman and Kumar (1989) proposed a user cube based on the three main dimensions of EUC – development, operation, and control. Even though this is rational approach to end user classification, it has been largely ignored by researchers. This may be due to the lack of an instrument to implement the cube. Hence, in this paper, a 10-item instrument is presented and data collected from 292 end users show that the instrument has strong construct validity. Practitioners can find this instrument very useful in determining the characteristics of EUC in their firms which in turn would be beneficial to devise strategies for EUC management.
منابع مشابه
End User Types: An Instrument to Clarify Users Based on the User Cube
Contemporary end users are more knowledgeable about computing technologies than the end users of the early ’80s. However, many researchers still use the end user classification scheme proposed by Rockart and Flannery (1983) more than two decades ago. This scheme is inadequate to classify contemporary end users since it is based mainly on their knowledge and ignores other crucial dimensions such...
متن کاملA social recommender system based on matrix factorization considering dynamics of user preferences
With the expansion of social networks, the use of recommender systems in these networks has attracted considerable attention. Recommender systems have become an important tool for alleviating the information that overload problem of users by providing personalized recommendations to a user who might like based on past preferences or observed behavior about one or various items. In these systems...
متن کاملEvolutionary User Clustering Based on Time-Aware Interest Changes in the Recommender System
The plenty of data on the Internet has created problems for users and has caused confusion in finding the proper information. Also, users' tastes and preferences change over time. Recommender systems can help users find useful information. Due to changing interests, systems must be able to evolve. In order to solve this problem, users are clustered that determine the most desirable users, it pa...
متن کاملMeasuring the effectiveness of human resource information systems in national iranian oil company an empirical assessment
While the growth of MIS investment and its influence is making MIS evaluation ever more indispensable, little attention has been paid to assessing and communicating system effectiveness. This paper attempts to empirically assess the effectiveness of integrated human resource information system in Iranian oil industry. As suggested by recent research, the widely accepted IS success model is...
متن کاملA Prototyping and Evaluation of Hospital Dashboard through End-User Computing Satisfaction Model (EUCS)
In today's competitive environment, one of the new tools in the field ofinformation technology is business or organizational dashboards that are as abackup in the process of strategic management of organizations. The aim ofthis study is building a prototype of a hospital dashboard on the principles andguidelines of dashboards and evaluating it based on End UserComputing Satisfaction (EUCS). The...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002