What Makes an ERP Implementation Relationship Worthwhile: Linking Trust Mechanisms and ERP Usefulness

By David Gefen. Journal of Management Information Systems, 2004

383 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Information Systems, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/de09f9ff977c56f631be2f413833f910094d2c81

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

In Management Information Systems

In Organizational Behavior and Human Resource Management

Citations in the corpus

An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study (2005, background): “In particular for on-line business, without reducing social complexity and risk resulting from the undesirable opportunistic behavior of e-vendor, only short-term transactions would be possible (Kim et al., 2004; Pavlou and Gefen, 2004).”
A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type (2011, background): “What makes an ERP implementation relationship worthwhile: Linking trust mechanisms and ERP usefulness.”
What drives consumers' continuance intention to e-shopping?: Conceptual framework and managerial implications in the case of Saudi Arabia (2011, background): “If the web retailer cannot be trusted to behave in accordance with the consumers’ confident beliefs, then there is no reason why consumers should expect to gain any utility or benefit from using the interface (Pavlou, 2003; Gefen, 2004; Chiu et al., 2009).”
Technology acceptance model: a literature review from 1986 to 2013 (2014, background): “Factors from other theories: factors from other theories of technology acceptance for increasing predictive validity of the TAM like subjective norm [35], expectations [87], user participation [5], risk [29, 67], and trust [30, 31, 92]; 3.”
Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to use E-Learning Systems (2011, methodology): “This study employs two major theoretical paradigms—the TAM (Gefen, 2004; Talyor & Todd, 1995; Davis et al., 1989) and IDT (Roger, 1995; Moore & Benbasat, 1991).”
Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory (2009, background): “Many empirical studies have supported this argument (Amoako-Gyam-pah & Salam, 2004; Moon & Kim, 2001; Wixom & Todd, 2005; Wu & Chen, 2005).”
Why do we trust new technology? A study of initial trust formation with organizational information systems (2008, background): “The determinants of initial trust are believed to differ from the determinants of trust with a more familiar party (Gefen, 2004; McKnight et al., 2002a), as individuals do not have direct experiences to draw upon in forming initial trusting beliefs.”
Do I Trust You Online, and If So, Will I Buy? An Empirical Study of Two Trust-Building Strategies (2006, background): “Although trust has been extensively examined within the context of the traditional economy [12, 16, 18, 26, 27, 46, 56], it was only recently that the concept has caught the attention of scholars investigating the digital economy [13, 19, 28, 36, 40, 45, 54, 57, 64, 68, 69].”