Journal of Librarianship and Information Science, Ahead of Print.
This study aims to investigate the relationship of factors of UTAUT/UTAUT2 model with behavioral intention to acceptance and use of technology within academic and digital libraries context. These objectives were achieved by using meta-analysis approach using the Preferred Reporting Items for the Systematic Review and Meta-analysis (PRISMA-P) protocol. A comprehensive search strategy was formulated for searching relevant studies from Google Scholar, Scopus, and LISTA. Fourteen studies were selected that were published from 2008 to 2022 in different countries worldwide. The results of all the hypotheses showed a significant relationship of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), and habit on Behavioral Intention (BI) to use technology for libraries. The magnitude of the effect size regarding the relationship of all the constructs was large. Present research identified a complete picture of studies published worldwide regarding the relationships of UTAUT/UTAUT2 constructs for acceptance of technology within the context of academic and digital libraries. Thus, this meta-analysis fills the literature gap and provides insights to reach conclusion about the relationships of UTAUT/UTAUT2 constructs. As previously published studies in this domain have provided significant/no-significant results and the strength of the relationship was also varied and these studies were lacking any collective conclusion. Findings of our study are also helpful for application developers in developing user-friendly and useful software for library services.
Author Archives: Irfan Ali
Use and acceptance of technology with academic and digital libraries context: A meta-analysis of UTAUT model and future direction
Journal of Librarianship and Information Science, Ahead of Print.
This study aims to investigate the relationship of factors of UTAUT/UTAUT2 model with behavioral intention to acceptance and use of technology within academic and digital libraries context. These objectives were achieved by using meta-analysis approach using the Preferred Reporting Items for the Systematic Review and Meta-analysis (PRISMA-P) protocol. A comprehensive search strategy was formulated for searching relevant studies from Google Scholar, Scopus, and LISTA. Fourteen studies were selected that were published from 2008 to 2022 in different countries worldwide. The results of all the hypotheses showed a significant relationship of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), and habit on Behavioral Intention (BI) to use technology for libraries. The magnitude of the effect size regarding the relationship of all the constructs was large. Present research identified a complete picture of studies published worldwide regarding the relationships of UTAUT/UTAUT2 constructs for acceptance of technology within the context of academic and digital libraries. Thus, this meta-analysis fills the literature gap and provides insights to reach conclusion about the relationships of UTAUT/UTAUT2 constructs. As previously published studies in this domain have provided significant/no-significant results and the strength of the relationship was also varied and these studies were lacking any collective conclusion. Findings of our study are also helpful for application developers in developing user-friendly and useful software for library services.
This study aims to investigate the relationship of factors of UTAUT/UTAUT2 model with behavioral intention to acceptance and use of technology within academic and digital libraries context. These objectives were achieved by using meta-analysis approach using the Preferred Reporting Items for the Systematic Review and Meta-analysis (PRISMA-P) protocol. A comprehensive search strategy was formulated for searching relevant studies from Google Scholar, Scopus, and LISTA. Fourteen studies were selected that were published from 2008 to 2022 in different countries worldwide. The results of all the hypotheses showed a significant relationship of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), and habit on Behavioral Intention (BI) to use technology for libraries. The magnitude of the effect size regarding the relationship of all the constructs was large. Present research identified a complete picture of studies published worldwide regarding the relationships of UTAUT/UTAUT2 constructs for acceptance of technology within the context of academic and digital libraries. Thus, this meta-analysis fills the literature gap and provides insights to reach conclusion about the relationships of UTAUT/UTAUT2 constructs. As previously published studies in this domain have provided significant/no-significant results and the strength of the relationship was also varied and these studies were lacking any collective conclusion. Findings of our study are also helpful for application developers in developing user-friendly and useful software for library services.