Information Systems Success: the Quest for Dependent Variable
Information Systems Success: The Quest for Dependent Variable
By William H. DeLone and Ephraim R. McLean
Dependent variables are needed to be well defined in the IS success examination. Prior research more concerns on independent variables than the dependent variable. Instead, this article focuses on the measurement of the dependent variable. Shannon and Weaver (1949) and Mason (1978) yield six distinct categories or aspects of information systems success, which are system quality, information quality, use, user satisfaction, individual impact, and organizational impact. According to 100 empirical studies from seven publications within seven years (from 1981 to 1988), the user satisfaction appears the most widely used single measure of IS success. The most reason for the appeal of satisfaction as a success measure is that the most of the other measures are weak. Wixom and Todd (2005) in the article of “A Theoretical Integration of User Satisfaction and Technology Acceptance” claim that user satisfaction is proved by many researchers to be a weaker predictor of system usage, compared to technology acceptance to usage. Based on these findings, we can see that the user satisfaction weakly determines the IS usage and the IS usage also weakly predicts the IS success. However, the user satisfaction significantly and directly determines the IS success. The contributions from this study include (1) there is no consensus on the measure of IS success; (2) no single measure is better than another; (3) even with the attempt to reduce variables to a more manageable taxonomy, a number of variables in different IS success measurements still exist, and (4) theses different variables are not only independent, but also inter-related each other. As a result, a multidimensional IS success measurement is encouraged. The article provide a comprehensive view on measures of IS success and suggests an IS success model after analysis of many studies. However, there is no explanation on
By William H. DeLone and Ephraim R. McLean
Dependent variables are needed to be well defined in the IS success examination. Prior research more concerns on independent variables than the dependent variable. Instead, this article focuses on the measurement of the dependent variable. Shannon and Weaver (1949) and Mason (1978) yield six distinct categories or aspects of information systems success, which are system quality, information quality, use, user satisfaction, individual impact, and organizational impact. According to 100 empirical studies from seven publications within seven years (from 1981 to 1988), the user satisfaction appears the most widely used single measure of IS success. The most reason for the appeal of satisfaction as a success measure is that the most of the other measures are weak. Wixom and Todd (2005) in the article of “A Theoretical Integration of User Satisfaction and Technology Acceptance” claim that user satisfaction is proved by many researchers to be a weaker predictor of system usage, compared to technology acceptance to usage. Based on these findings, we can see that the user satisfaction weakly determines the IS usage and the IS usage also weakly predicts the IS success. However, the user satisfaction significantly and directly determines the IS success. The contributions from this study include (1) there is no consensus on the measure of IS success; (2) no single measure is better than another; (3) even with the attempt to reduce variables to a more manageable taxonomy, a number of variables in different IS success measurements still exist, and (4) theses different variables are not only independent, but also inter-related each other. As a result, a multidimensional IS success measurement is encouraged. The article provide a comprehensive view on measures of IS success and suggests an IS success model after analysis of many studies. However, there is no explanation on