Associate Professor of Information Systems and Chair, Information Technology Department, Kogod School of Business, American University, Washington, D.C.
Ten years ago, we presented the DeLone and McLean Information Systems (IS) Success Model as a framework and model for measuring the complex-dependent variable in IS research. In this paper, we discuss many of the important IS success research contributions of the last decade, focusing especially on research efforts that apply, validate, challenge, and propose enhancements to our original model. Based on our evaluation of those contributions, we propose minor refinements to the model and propose an updated DeLone and McLean IS Success Model. We discuss the utility of the updated model for measuring e-commerce system success. Finally, we make a series of recommendations regarding current and future measurement of IS success.
A large number of studies have been conducted during the last decade and a half attempting to identify those factors that contribute to information systems success. However, the dependent variable in these studies—I/S success —has been an elusive one to define. Different researchers have addressed different aspects of success, making comparisons difficult and the prospect of building a cumulative tradition for I/S research similarly elusive. To organize this diverse research, as well as to present a more integrated view of the concept of I/S success, a comprehensive taxonomy is introduced. This taxonomy posits six major dimensions or categories of I/S success—SYSTEM OUALITY, INFORMATION QUALITY, USE, USER SATISFACTION, INDIVIDUAL IMPACT, and ORGANIZATIONAL IMPACT. Using these dimensions, both conceptual and empirical studies are then reviewed (a total of 180 articles are cited) and organized according to the dimensions of the taxonomy. Finally, the many aspects of I/S success are drawn together into a descriptive model and its implications for future I/S research are discussed.
This field study investigates the factors that affect the successful use of computer-based information systems (CBIS) by small business. The 93 manufacturing firms surveyed had fewer than 300 employees, less than $30 million in annual sales revenues, and had been using computers for at least three months. The principal findings showed that chief executive knowledge of computers and involvement in computerization leads to more successful computer use in small manufacturing firms. The use of on-site computers also has a positive effect on computer success.
This article studies the proposition that firms of different sizes manage their computer operations differently, and it seeks to determine whether small firms face special circumstances in their uses of computers. The author presents several hypotheses which associate computer related variables with differences in firm size. These hypotheses are tested using data collected from seventy-four Los Angeles manufacturing firms of various sizes. The results indicate that selected computer-use characteristics vary with firm size. These research findings and their implications are discussed.