The State of Research on Information Systems Success

Abstract

The article examines multidimensional approaches to measuring information systems (IS) success. The current state of related research is explored through a literature review and the classification of articles published between 2003 and 2007. The results show that the dominant stream of empirical research analyzes the impact that a specific type of information system has by means of users' evaluations obtained from surveys and structural equation modeling. Based on existing theoretical models and frameworks, several specialized success models have been developed to evaluate different types of IS, like knowledge management systems and enterprise systems. The results provide researchers with a comprehensive review and structuring of IS success research.

Research on information systems failures and successes: Status update and future directions

“…They proposed a taxonomy of six interrelated variables to define IS success: System Quality, Information Quality, Use, User Satisfaction, Individual Impact, and Organizational Impact. Since the original publication of their model in 1992, researchers have investigated, modified, or extended the concept of IS success Larsen 2003;Petter et al 2008;Rana et al 2013a;Seddon 1997;Urbach et al 2009). One of the major extensions is the service quality dimension of information technology (IT) departments (Petter et al 2013), incorporated in an updated model published in 2003 (Delone and McLean 2003).…”

The Impact of the Implementation of the ERP on End-User Satisfaction Case of Moroccan Companies

“…Generally, the framework describes eight categories: theoretical basis, the research approach, the object of analysis, the unit of analysis, the prospect evaluation, data collection, data analysis and type methodology (Urbach and Smolnik, 2008) [11]). …”

A Benefits Assessment Model of Information Systems for Small Organizations in Developing Countries

“…Justification for any update to the model is thus provided in accordance with the rationale and reasoning derived from existing theories and models. The D&M model, as stated at the outset, has been tested and used in many contexts and has proven its validity for use in other contexts (Urbach, Smolnik, & Riempp, 2009). The IS-Impact model is chosen due to its ability to measure the up-to-date impact of the system undergoing evaluation, as well as its ability to forecast the potential impact of a future system by evaluating the quality of information and the system itself.…”