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A unified model of IT continuance: three complementary perspectives and crossover effects

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  • Anol Bhattacherjee
  • Chieh-Peng Lin

Abstract

This study presents a unified model of information technology (IT) continuance, by drawing upon three alternative influences that are presumed to shape continuance behavior: reasoned action, experiential response, and habitual response. Using a longitudinal survey of workplace IT continuance among insurance agents at a large insurance company in Taiwan, we demonstrate that the above influences are interdependent, complementary, and have crossover effects. This study advances IT continuance research by theorizing and validating a unifying model that extends prior perspectives and by explaining interrelationships between these perspectives.

Suggested Citation

  • Anol Bhattacherjee & Chieh-Peng Lin, 2015. "A unified model of IT continuance: three complementary perspectives and crossover effects," European Journal of Information Systems, Taylor & Francis Journals, vol. 24(4), pages 364-373, July.
    • Handle: RePEc:taf:tjisxx:v:24:y:2015:i:4:p:364-373
    DOI: 10.1057/ejis.2013.36
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    Cited by:

    1. Nguyen Tran Thuy Trang & Nguyen Manh Tuan, 2019. "User’s satisfaction with information system quality: An empirical study on the hospital information systems in Ho Chi Minh City, Vietnam," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 9(2), pages 57-73.
    2. Giang-Do Nguyen & Thu-Hien Thi Dao, 2024. "Factors influencing continuance intention to use mobile banking: an extended expectation-confirmation model with moderating role of trust," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    3. Cheikh-Ammar, Mustapha, 2024. "Toward a theory of technology desirability: Blending task and feature fit with mutual values," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    4. Ahmad Almagrashi & Abdulwahab Mujalli & Tehmina Khan & Osama Attia, 2023. "Factors determining internal auditors’ behavioral intention to use computer-assisted auditing techniques: an extension of the UTAUT model and an empirical study," Future Business Journal, Springer, vol. 9(1), pages 1-19, December.

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