A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena

By Sung S. Kim, Naresh K. Malhotra. Management Sciences, 2005

1,063 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/3a4ca943ec61ce25cf88559638fe9a682e9d42ad

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

1. V. Venkatesh
2. James Y. L. Thong
3. Yogesh Kumar Dwivedi
4. Frank K. Y. Chan
5. Heshan Sun
6. Tiago Oliveira
7. Paul Benjamin Lowry
8. Izak Benbasat

In Management Science and Operations Research

1. V. Venkatesh
2. James Y. L. Thong
3. Tiago Oliveira
4. Wei Peng
5. Shaheen Kanthawala
6. Y. Don
7. Arumugam so Raman
8. Shupei Yuan

In Sociology and Political Science

1. V. Venkatesh
2. James Y. L. Thong
3. Frank K. Y. Chan
4. Yogesh Kumar Dwivedi
5. Heshan Sun
6. Tiago Oliveira
7. Nripendra P. Rana
8. Weiyin Hong

Citations in the corpus

• Trust and Electronic Government Success: An Empirical Study (2008, background): “In the postadoption stage, user’s intention to continue using a Web site (1) follows the previous decision of using the Web site, indicating a repeat behavior mechanism; and (2) is influenced by the evaluation from previous use of the Web site, indicating a feedback mechanism [40].”
• Preservice Teachers' Acceptance of Learning Management Software: An Application of the UTAUT2 Model. (2013, background): “The first habit viewed as prior behaviour (Kim and Malhotra, 2005) and second, habit is where an individual believes the behaviour to be automatic (Lamayem et al.”
• Extending the Technology Acceptance Model to assess automation (2011, methodology): “An important feature of AAM is its ability to capture the dynamic nature of the adoption process through feedback mechanisms, which is rarely addressed (examples of such articles include Kim and Malhotra 2005; Bajaj and Nidumolu 1998; Gao and Lee 2006).”
• A Theoretical Integration of User Satisfaction and Technology Acceptance (2005, neutral): “2 고객 만족 기반 온라인 서비스 계속 사 용 정보시스템 연구자들은 온라인 서비스 계속 사용을 크게 습관 관점 [11,30,31]과 기 대충족이론 기반 고객 만족 관점 [8-10,32]에 서 연구했다.”
• Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM) (2020, background): “It inferred that habit has a more cognitive influence on behaviour intention, as it helps in the more intensive assessment of various cost advantages that are of more considered nature (Kim & Malhotra, 2005).”
• Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model (2018, background): “Rather than initial acceptance, the construct habit has been shown to be a critical factor in predicting technology use (e.g. Kim and Malhotra 2005; Limayem et al. 2007).”
• Quo vadis TAM? (2007, background): “With a few exceptions (e.g., Bhattacherjee 2001; Bhattacherjee and Premkumar 2004; Karahanna et al. 1999; Kim and Malhotra 2005; Venkatesh and Davis 2000), many TAM studies typically focus on static models and measure all model constructs concurrently.”
• Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology (2012, positive): “Related to the operation-MIS alization of habit as prior use, Kim and Malhotra (2005) found that prior use was a strong predictor of future technology use.”
• An investigation of users’ continuance intention towards mobile banking in China (2016, methodology): “The empirical evidence accumulated over two decades reveals that perceived ease of use is significantly linked to intention, both directly and indirectly, via its effect on perceived usefulness (Kim and Malhotra, 2005; Shin, 2007; Chang et al., 2013).”