Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis
By Arun Rai, Sandra S. Lang, Robert B. Welker. Information systems research, 2002
1,810 citations recorded by the source corpus.
Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/629eb95e14dcabdc2c63a5fdaae28d7cf216df07
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Yogesh Kumar Dwivedi
- Yi-Shun Wang
- Nripendra P. Rana
- Chao-Min Chiu
- Meng Hsiang Hsu
- Hsiu-Yuan Wang
- Chun-Ming Chang
- Nils Urbach
In Organizational Behavior and Human Resource Management
- Yi-Shun Wang
- Yogesh Kumar Dwivedi
- Chao-Min Chiu
- Meng Hsiang Hsu
- Hsin-Hui Lin
- Chun-Ming Chang
- V. Venkatesh
- Hsiu-Yuan Wang
In Sociology and Political Science
- Yogesh Kumar Dwivedi
- Yi-Shun Wang
- Chao-Min Chiu
- Nripendra P. Rana
- Juan Carlos Roca
- Meng Hsiang Hsu
- Hsiu-Yuan Wang
- Chun-Ming Chang
Citations in the corpus
- Defining, Assessing, and Promoting E‐Learning Success: An Information Systems Perspective* (2006, methodology): “In addition, Rai, Lang, and Welker (2002) conducted a confirmatory factor analysis and estimation of fit indices for the model.”
- Usability, quality, value and e-learning continuance decisions (2005, methodology): “Rai, Lang, and Welker (2002) proposed an amended Seddon model in which perceived ease of use, perceived usefulness, and information quality are modeled as the antecedents of satisfaction.”
- Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success (2008, methodology): “Theorists, however, are still grappling with the question of which constructs best measure IS success [35].”
- Measuring e-learning systems success in an organizational context: Scale development and validation (2007, methodology): “Since 1992, a number of studies have undertaken empirical investigations of the multidimensional relationships among the measures of IS success [18][23][24][29][32][35][48][49][52].”
- Understanding e-learning continuance intention: An extension of the Technology Acceptance Model (2006, background): “Rai et al. (2002) extended the Seddon model in which perceived ease of use, perceived usefulness, and information quality are depicted as the antecedents of satisfaction.”
- An empirical investigation of employee portal success (2010, methodology): “Ten years after the publication of their first model, and based on the evaluation of the many contributions to it (e.g., Rai et al., 2002; Seddon, 1997; Seddon and Kiew, 1994), DeLone and McLean proposed an updated IS Success Model (DeLone and McLean, 2003) that coped with the measurement…”
- Fundamentals of Information Studies: Understanding Information and Its Environment, Second Edition (2009, methodology): “In fact, researchers have identified service quality as an essential metric of information systems success (e.g., DeLone & McLean, 1992, 2003; Kettinger & Lee, 1994; Li, 1997; Rai et al., 2002; Wilkin & Hewitt, 1999; Zeithaml et al., 1996).”
- Defining Open Source Software Project Success (2003, background): “Not surprisingly, much attention has been given to how best to measure it (e.g., DeLone and McLean 1992, 2002, 2003; Rai et al. 2002; Seddon 1997; Seddon et al. 1999).”
- Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success (2008, methodology): “Previous researchers usually suggest different dimensions to measure System Quality (c.f., Saarinen, 1996; Li, 1997; Liu & Arnett, 2000; Molla & Licker, 2001; McKinney et al ., 2002; Rai et al ., 2002; DeLone & McLean, 2003; Heo & Han, 2003; McGill et al ., 2003).”
- Information System Success: Individual and Organizational Determinants (2006, methodology): “Specifically, the relationships between user satisfaction and system use, and between perceived usefulness and user satisfaction, may depend on other common factors; this possibility has been recognized in prior research (Rai et al. 2002).”
- Inhibitors and Enablers as Dual Factor Concepts in Technology Usage (2004, neutral): “(e.g., Rai et al., 2002; Teng and Calhoun, 1996; Wixom and Todd, 2003 ).”
- Measuring the Performance of Information Systems: A Functional Scorecard (2005, background): “Other researchers have since tested and expanded their model [7, 46, 79].”
- A Customer Loyalty Model for E-Service Context (2003, methodology): “The items to measure customer satisfaction were taken from previous measures of overall level of user satisfaction or Web customer satisfaction (Wang et al., 2001; Doll et al., 1988; Palvia, 1996; Rai et al., 2002).”