Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet

Decision Support Systems, Vol. 42, pp. 1819-1834, 2006

16 Pages Posted: 30 Jul 2007

See all articles by SeJoon Hong

SeJoon Hong

Korea University

James Y.L. Thong

HKUST Business School

Kar Yan Tam

Hong Kong University of Science and Technology

Abstract

This study examines the utility of three prospective models for understanding the continued IT usage behavior. The three models include: Expectation-Confirmation Model in IT Domain (ECM-IT), Technology Acceptance Model (TAM), and a hybrid model integrating TAM and ECM-IT (extended ECM-IT). Based on a survey of 1826 mobile Internet users, the LISREL analysis shows that all three models meet the various goodness-of-fit criteria. When compared using special indices for differentiating among alternative good models, TAM has the best fit to the data followed by ECM-IT, and the extended ECM-IT. In terms of variance explained for intention to continue IT usage, the extended ECM-IT has the highest R2 (67%) followed by TAM (63%), and ECM-IT (50%). We conclude that TAM is the most parsimonious and generic model that can be used to study both initial and continued IT adoption; the extended ECM-IT explains continued IT usage behavior as well as TAM; and both the ECM-IT and extended ECM-IT models provide additional information to increase our understanding of continued IT usage.

Keywords: Continued information technology usage, Technology Acceptance Model, Expectation-Confirmation Model, Mobile Internet, Survey Research

Suggested Citation

Hong, SeJoon and Thong, James Y.L. and Tam, Kar Yan, Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet. Decision Support Systems, Vol. 42, pp. 1819-1834, 2006, Available at SSRN: https://ssrn.com/abstract=1003581

SeJoon Hong (Contact Author)

Korea University ( email )

1 Anam-dong 5 ka
Seoul, 136-701
Korea, Republic of (South Korea)

James Y.L. Thong

HKUST Business School ( email )

Clear Water Bay
Kowloon
Hong Kong

HOME PAGE: http://jthong.people.ust.hk/

Kar Yan Tam

Hong Kong University of Science and Technology ( email )

Clear Water Bay, Kowloon
Hong Kong

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