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A meta-analysis of the quantitative studies in continuance intention to use an information system
PurposeThis 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 differe...
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Published in: | Internet research 2021-02, Vol.31 (1), p.123-158 |
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description | PurposeThis 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/approachThe 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.FindingsThe 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 implicationsThe 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/valueThe 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. |
doi_str_mv | 10.1108/INTR-03-2019-0103 |
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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.FindingsThe 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 implicationsThe 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/valueThe 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.</description><identifier>ISSN: 1066-2243</identifier><identifier>EISSN: 2054-5657</identifier><identifier>DOI: 10.1108/INTR-03-2019-0103</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Banking ; Computers ; Decision Support Systems ; Electronic Learning ; Empirical analysis ; Information systems ; Intention ; Literature reviews ; Meta Analysis ; Mobile commerce ; Moderators ; Online instruction ; Quantitative analysis ; Research Design ; Research methodology ; Social research ; Statistical Analysis ; Technology Acceptance Model ; User satisfaction ; Weight analysis</subject><ispartof>Internet research, 2021-02, Vol.31 (1), p.123-158</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-7eb5a33157d29d27fb01e05aac954bc692835697234173b5c9ce7c68f23177c53</citedby><cites>FETCH-LOGICAL-c405t-7eb5a33157d29d27fb01e05aac954bc692835697234173b5c9ce7c68f23177c53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2533920916?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,21378,21381,21394,27305,27924,27925,33611,33877,33906,34135,36060,43733,43880,43892,44363</link.rule.ids></links><search><creatorcontrib>Franque, Frank Bivar</creatorcontrib><creatorcontrib>Oliveira, Tiago</creatorcontrib><creatorcontrib>Tam, Carlos</creatorcontrib><creatorcontrib>Santini, Fernando de Oliveira</creatorcontrib><title>A meta-analysis of the quantitative studies in continuance intention to use an information system</title><title>Internet research</title><description>PurposeThis 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/approachThe 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.FindingsThe 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 implicationsThe 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/valueThe 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.</description><subject>Banking</subject><subject>Computers</subject><subject>Decision Support Systems</subject><subject>Electronic Learning</subject><subject>Empirical analysis</subject><subject>Information systems</subject><subject>Intention</subject><subject>Literature reviews</subject><subject>Meta Analysis</subject><subject>Mobile 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Analysis</topic><topic>Technology Acceptance Model</topic><topic>User satisfaction</topic><topic>Weight analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Franque, Frank Bivar</creatorcontrib><creatorcontrib>Oliveira, Tiago</creatorcontrib><creatorcontrib>Tam, Carlos</creatorcontrib><creatorcontrib>Santini, Fernando de Oliveira</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI/INFORM Complete</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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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/approachThe 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.FindingsThe 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 implicationsThe 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/valueThe 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.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/INTR-03-2019-0103</doi><tpages>36</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Banking Computers Decision Support Systems Electronic Learning Empirical analysis Information systems Intention Literature reviews Meta Analysis Mobile commerce Moderators Online instruction Quantitative analysis Research Design Research methodology Social research Statistical Analysis Technology Acceptance Model User satisfaction Weight analysis |
title | A meta-analysis of the quantitative studies in continuance intention to use an information system |
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