Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

A meta-analysis of the quantitative studies in continuance intention to use an information system

Bibliographic Data

ID12420748
AuthorsFrank Bivar Franque (0000-0001-7950-8824, Catholic University of Mozambique, corresponding author), Tiago Oliveira (0000-0001-5930-6184, Universidade Nova de Lisboa), Carlos Tam (0000-0002-4930-9979, Universidade Nova de Lisboa), Fernando De Oliveira Santini (0009-0003-2750-7442, Universidade do Vale do Rio dos Sinos)
Year2020
Volume31
Issue1
Pages123-158
Publication date2020-08-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternet Research (JOURNAL)
Journal identifiersISSN: 1066-2243 • E-ISSN: 2054-5657
PublisherEmerald Publishing Limited (PUBLISHER • GB)
DOI10.1108/intr-03-2019-0103
OpenAlexW3047833756
LanguageEN
Citations received26
References cited136

Purpose This study aims to describe, synthesise and clarify the findings of published studies on individual continuance intention to use an information system (IS), considering the fact that the number of studies in the continuance intention context are growing exponentially and cover several different subjects. Design/methodology/approach The research uses meta- and weight analysis by taking 115 empirical studies from continuance intention to use an IS. The data are presented in different views using significant and non-significant relationships from all the studies. Furthermore, it uses hierarchical linear meta-analysis to analyse potential moderators that can influence continuance intention. Findings The results reveal that affective commitment, attitude, satisfaction, hedonic value and flow are the best predictors of continuance intention to use an IS. Sample size, individualism, uncertainty avoidance and long-term orientation moderate the relationship of perceived usefulness on continuance intention. Power distance, masculinity and indulgence moderate relationship satisfaction on continuance intention. Practical implications The results reveal that continuance intention to use an IS has been studied in different countries, with different cultures; therefore, IS providers should have diversified managing strategies, to ensure the satisfaction of users and long-term usage of their IS. Originality/value The study provides a systematic overview of the most relevant variables used in the literature, including a temporal analysis of the theoretical models, highlighting the evolution of the constructs and presents a moderation analysis

Context (archaeology · Continuance · Meta-analysis · Moderation · Multilevel model · Originality · Applied Psychology · Computer Science · Customer Service Quality and Loyalty · Digital Marketing and Social Media · Psychology · Social Psychology · Technology Adoption and User Behaviour

  • Understanding continuance intention of artificial intelligence (AI)-enabled mobile banking applications

    Open Access•Jung-Chieh Lee, Yuyin Tang et al.•Humanities and Social Sciences…•2023

  • Factors influencing continuance intention to use mobile banking

    Open Access•Gia Doi Nguyen, Thu-Hien Thi Dao•Humanities and Social Sciences…•2024

  • Environmental concerns and green trust in continuous green fintech use

    Open Access•Jung-Chieh Lee, Tao Li et al.•Humanities and Social Sciences…•2025

  • The impact of user addiction on continuance intention to use streaming platforms

    Open Access•Kittiporn Sae-tae, Jinzhu Ling et al.•Frontiers in Communication•2024

  • Development and TAM-Based Validation of a User Experience Scale for Actual System Use in Online Courses

    Open Access•Mei Wang, Siva Shankar Ramasamy et al.•Education Sciences•2025

  • Predicting the Future of Metaverse-Based Transformation in Tourism

    Open Access•Saba Batool Wadhar, Riffat Shahani et al.•SAGE Open•2026

  • Understanding the impacts of intelligence and anthropomorphism on user stickiness in AI-driven mobile banking applications

    Jung-Chieh Lee, Lihui Zhang et al.•Information Technology and People•2026

  • Examining students' continuous use of online learning in the post-Covid-19 era

    Open Access•Ayman Alarabiat, Omar Hujran et al.•Information Technology and People•2023

  • Cultural intelligence as an antecedent of satisfaction with the travel app and with the tourism experience

    Open Access•Ángel L Coves-Martínez, Carmen M Sabiote-Ortiz et al.•Computers in Human Behavior•2022

  • A Meta-Analysis of the Antecedents and Consequences of Advertising Value

    Guoquan Ye, Xin Guan et al.•Journal of Advertising•2025

  • Impact of robotics on unemployment

    Open Access•Guangjie Du, Suman Lodh et al.•Technological Forecasting and…•2026

  • Cross-spectral coherence and dynamic connectedness among contactless digital payments and digital communities, enterprise collaboration, and virtual reality firms

    Open Access•Mahsa Darehshiri, حسن حیدری et al.•Technological Forecasting and…•2022

  • A meta-analysis of the moderating role of prior learning experience and mandatory participation on factors influencing Mooc learners’ continuance intention

    Open Access•Min Zhang, Sihong Li et al.•Australasian Journal of…•2023

  • Effects of Technology Adaptation and Perceived Value on Continuance Intention in M-commerce of Gen Z

    Open Access•Minh-Tri Ha, Vuong-Bach Vo et al.•SAGE Open•2025

  • From browsing to buying

    Gonçalo Sá, Carlos Tam et al.•Internet Research•2026

  • Continual usage intention of platform-based governance services

    Open Access•Parijat Upadhyay, Anup Kumar et al.•Government Information Quarterly•2021

  • Counseling for Health

    Open Access•Fuyong Lu, Xintao Wang et al.•International Journal of…•2023

  • Modeling older adults’ continuance intention toward mobile health apps

    Open Access•Xinxin Wang•BMC Public Health•2025

  • Play, pause or praise? – a dual factor theory exploration of continuance, discontinuance and recommendation intentions in OTT platforms

    Ajith T Nandukrishna, P Sridevi•World Leisure & Recreation•2023

  • Short video apps as a health information source

    Open Access•Shijie Song, Yuxiang Zhao et al.•Internet Research•2021

  • The serious gaming randomness in dual-purposed systems

    Philip Tin Yun Lee, Michael Chau et al.•Internet Research•2025

  • Evaluating e-commerce website qualities

    Open Access•Fan‐Chen Tseng, Tzu‐Ling Huang et al.•Internet Research•2022

  • A meta-analysis of the factors associated with s-commerce intention

    Open Access•Yassine Jadil, Anand Jeyaraj et al.•Internet Research•2022

  • Technological or social? Influencing factors and mechanisms of the psychological digital divide in rural Chinese elderly

    Open Access•Weihua Wang, Yuting Zhang et al.•Technology in Society•2023

  • The Moderating Role of Flow Experience on Mobile Commerce Continuance Intention

    Open Access•Gia Doi Nguyen, Thu-Hien Thi Dao•SAGE Open•2024

  • What Makes Users Continue to Want to Use the Digital Platform? Evidence From the Ride-Hailing Service Platform in Vietnam

    Open Access•Gia Doi Nguyen, Do Giang Nguyen et al.•SAGE Open•2022

  • How Habit Limits the Predictive Power of Intention

    Moez Limayem, Sabine Gabriele Hirt et al.•MIS Quarterly•2007

  • A simple, general purpose display of magnitude of experimental effect.

    Robert Rosenthal, Donald B Rubin•Journal of Educational Psychology•1982

  • Why men and women continue to use social networking sites

    Open Access•Hanna Krasnova, Natasha F Veltri et al.•The Journal of Strategic…•2017

  • An expectation-confirmation model of continuance intention to use mobile instant messaging

    Open Access•Apollos Patricks Oghuma, Christian Fernando Libaque Saenz et al.•Telematics and Informatics•2016

  • Understanding Web-based learning continuance intention

    Open Access•Chao‐Min Chiu, Chao-Min Chiu et al.•Information & Management•2008

  • Understanding the Moocs continuance

    Open Access•Khaled M Alraimi, Hangjung Zo et al.•Computers & Education•2015

  • How WeChat can retain users

    Open Access•Chubing Zhang, Chu-Bing Zhang et al.•Computers in Human Behavior•2017

  • Long- versus short-term orientation

    Geert Hofstede, Michael Minkov•Asia Pacific Business Review•2010

  • Explaining and predicting users’ continuance intention toward e-learning

    Open Access•Ming-Chi Lee•Computers & Education•2010

  • The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch

    Open Access•Jon‐chao Hong, Jon-Chao Hong et al.•Computers in Human Behavior•2017

  • Understanding e-learning continuance intention

    Open Access•Juan Carlos Roca, Chao‐Min Chiu et al.•International Journal of…•2006

  • A meta-analysis of e-learning technology acceptance

    Open Access•Boštjan Šumak, Marjan Heričko et al.•Computers in Human Behavior•2011

  • Understanding Changes in Belief and Attitude Toward Information Tech Nology Usage

    Anol Bhattacherjee, G Premkumar et al.•MIS Quarterly•2004

  • Understanding the effect of e-learning on individual performance

    Open Access•Soheila Mohammadyari, Harminder Singh•Computers & Education•2015

  • The role of perceived social capital and flow experience in building users’ continuance intention to social networking sites in China

    Open Access•Ya Ping Chang, Dong Zhu et al.•Computers in Human Behavior•2012

  • Continuance intention to use Moocs

    Open Access•Bing Wu, Xiao Hui Chen et al.•Computers in Human Behavior•2017

  • Information Systems Success

    William H DeLone, William DeLone et al.•Information Systems Research•1992

  • A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions

    Richard L Oliver•Journal of Marketing Research•1980

  • Exploring the influential factors in continuance usage of mobile social Apps

    Open Access•Chun‐Hua Hsiao, Chun-Hua Hsiao et al.•Telematics and Informatics•2016

  • The role of self-determination theory in explaining teachers’ motivation to continue to use e-learning technology

    Open Access•Øystein Sørebø, Hallgeir Halvari et al.•Computers & Education•2009

  • Examination of relationships among students' self-determination, technology acceptance, satisfaction, and continuance intention to use K-Moocs

    Open Access•Young Ju Joo, Hyo-Jeong So et al.•Computers & Education•2018

  • Understanding Information Systems Continuance

    Anol Bhattacherjee•MIS Quarterly•2001

  • User Acceptance of Information Technology

    Viswanath Venkatesh, Venkatesh Venkatesh et al.•MIS Quarterly•2003

  • Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

    Fred D Davis•MIS Quarterly•1989

  • Enhancing perceived interactivity through network externalities

    Open Access•Ling Zhao, Yaobin Lu•Decision Support Systems•2012

  • Understanding mobile payment users’ continuance intention

    Open Access•Xiongfei Cao, Lingling Yu et al.•Internet Research•2018

  • The effects of hedonic/utilitarian expectations and social influence on continuance intention to play online games

    Open Access•I‐Cheng Chang, I-Cheng Chang et al.•Internet Research•2014

  • Examining the impact mechanism of social psychological motivations on individuals’ continuance intention of Moocs

    Open Access•Zhen Shao•Internet Research•2017

  • Effect-Size Estimates

    Edward F Fern, Kent B Monroe•Journal of Consumer Research•1996

Unique citing works26
Citations per year5,2
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 26

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae