E-Commerce Systems Success: An Attempt to Extend and Respecify the Delone and MaClean Model of IS Success

By A. Molla, Paul S. Licker. Journal of Electronic Commerce Research, 2001

667 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/21b9d2fa0933429f94aa67e17b27b91105d1c04c

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Citations in the corpus

Technology acceptance model (TAM) and social media usage: an empirical study on Facebook (2014, unknown): “Past studies (Rauniar et al., 2009; Molla and Licker, 2001; Yoo and Donthu, 2001; Zeithaml, 2000) indicate that an easy to use website can enhance the user's experience.”
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).”
A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research (2014, background): “…factors have been modeled as either antecedents of the core constructs or usage-related outcomes (e.g., Kulkarni et al. 2007, Lee and Kwon 2011, Molla and Licker 2001); or constituent dimensions of the core constructs (e.g., He and Wei 2009); or moderators of the relationships in general…”
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003, methodology): “Information quality has proven to be strongly associated with system use and net benefits in recent empirical studies [38, 54, 57] and especially in the context of e-commerce systems [7, 29, 33, 36, 49].”
Defining, Assessing, and Promoting E‐Learning Success: An Information Systems Perspective* (2006, unknown): “There have already been studies attempted to extend and respecify the success model to evaluate e-commerce success (Molla & Licker, 2001) and student information systems (Rai et al., 2002).”
Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success (2008, background): “As mentioned earlier, system usage continues to be used as an IS success variable in a number of empirical studies and continues to be developed and tested by IS researchers [5] [9] [11] [14] [15] [20] [21] [28] [30] [31] [35] [40].”
Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach (2006, methodology): “The model has been applied successfully to measure the success of a variety of information systems [38, 40 ,53].”
Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model (2004, methodology): “Molla and Licker used the original DeLone and McLean model published in 1992 as a basis of their proposal [7, 25].”
A Customer Loyalty Model for E-Service Context (2003, methodology): “…has been refined in the context of integrated IS and/or e-commerce success models, including DeLone and McLean (1992, 2003), Seddeon (1997), and Molla and Licker (2001) models, to develop causal relations between antecedents (indirect measures) of overall user/customer satisfaction (e.g.,…”
An empirical investigation of employee portal success (2010, methodology): “…we extended our literature review by analyzing studies focusing on the evaluation of web-based systems (WBS), which are similar to employee portals (e.g., Bharati and Chaudhury, 2004; Cheung and Lee, 2005; Garrity et al., 2005; Huang et al., 2004; McKinney et al., 2002; Molla and Licker, 2001).”
From e-commerce to social commerce: A close look at design features (2013, background): “Information quality is a fundamental design principle in e-commerce since it is a source of value to customers (Molla and Licker 2001).”
Factors influencing Internet shopping value and customer repurchase intention (2012, methodology): “To examine why most Internet shoppers browse rather than buy and how they can be motivated to purchase, we posit that Korean Internet shopping business success depends largely on the ability to obtain repeat purchases from web-browsing customers (Molla and Licker 2001).”