Understanding Information Systems Continuance: An Expectation-Confirmation Model

By Anol Bhattacherjee. MIS Q., 2001

8,852 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/a3dff66b60240d1515cb92fe72e3a415bd8aafa6

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In Information Systems and Management

In Organizational Behavior and Human Resource Management

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Citations in the corpus

Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTAUT (2015, positive): “In this respect, the Expectation-Confirmation Model [32] offers an affective conceptualization of user satisfaction that is similar to how attitude toward the system has been measured, but which has not yet been applied with TAM or UTAUT.”
A Theoretical Integration of User Satisfaction and Technology Acceptance (2005, neutral): “부록 A. 연구가설 번호 관계 관련 연구 H1a 신뢰성 → 전반적인 웹사이트 정보 품질 Molla and Licker [36], Mckinney et al. [34] H1b 개인화 → 전반적인 웹사이트 정보 품질 Molla and Licker [36], DeLone and McLean [20] H1c 범위 → 전반적인 웹사이트 정보 품질 Mckinney et al. [34] H1d 적절성 → 전반적인 웹사이트 정보 품질 Molla and Licker [36], Mckinney et al. [34] H2a 사용성 → 전반적인 웹사이트”
What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? (2020, positive): “Bhattacherjee (2001); Venkatesh et al. (2003); Roh and Park (2019) Effort expectancy (EE) EE1-Learning how to use FDAs is easy.”
An expectation-confirmation model of continuance intention to use mobile instant messaging (2016, methodology): “However, the effect of ease of use is inconsistent in the initial stages of adoption and seems to subside and becomes non-significant in later stages (Bhattacherjee, 2001; Davis, 1989; Karahanna et al., 1999).”
The roles of habit and web site quality in e-commerce (2006, methodology): “Bhattacherjee (2001) indicated that the usefulness–intention association originally derived in an acceptance context still holds true in continuance contexts, because human tendencies for subconsciously pursuing instrumental behaviors are independent of the timing or stage of such behaviors.”
Quitting the use of a habituated hedonic information system: a theoretical model and empirical examination of Facebook users (2015, background): “These are key drivers of continuance (Bhattacherjee, 2001; Ajzen, 2002; Khalifa & Liu, 2007) that represent a convenient choice of constructs that can in ﬂ uence SCT processes related to discontinuance.”
Positive and negative word of mouth (WOM) are not necessarily opposites: A reappraisal using the dual factor theory (2020, methodology): “DFT is a well-accepted theory and has been applied in various contexts, including social media platforms (Sullivan and Koh, 2019) and non-adoption of technological innovations (Wolverton and Cenfetelli, 2019).”
Knowledge sharing in virtual communities: an e-business perspective (2004, methodology): “We decided to introduce the web-based (on-line) survey method, gaining acceptance in IS research ( Bhattacherjee, 2001 ), since it has some advantages over the traditional paper-based survey: (1) lower costs, (2) faster responses, and”
Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet (2006, methodology): “There have been a couple of approaches in these attempts: (1) employing existing perspectives (e.g., Theory of Reasoned Action, Innovation Diffusion Theory) to explore the continued usage behavior [45,58]; and (2) building a new perspective to explain continued IT usage behavior [9,10].”