The influence of perceived usefulness and perceived ease of use on behavioral intention with TAM approach to users of research management information systems
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Jul 24, 2023
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Abstract
Along with the increasingly complex and broad scope of research implementation in tertiary institutions, so the development of a research and community service management system based on information and communication technology. The system is called the Research and Community Service Management System. The purpose of this study was to determine the perceived usefulness (PU), perceived ease of use (PEU) and behavioral intention (BI) of research lecturers who use the Research and Community Service Management System at a private university in Java, Indonesia and to determine the perceived influence usefulness (PU), perceived ease of use (PEU) on behavioral intention (BI) in research lecturers who use the Research and Community Service Management System in one of the Private University in Java , Indonesia . This research is a quantitative study using descriptive data analysis and multiple linear regression. The respondents in this study amounted to 66 research lecturers using the Research and Community Service Management System at a private university in Java, Indonesia using a simple random sampling method. The results of this study indicate that perceived usefulness (PU) is at 72.95% in the "high" category, perceived ease of use (PEU) is at 69.92% in the "above average" category, and behavioral intention (BI) is at a percentage of 70.5% in the "high" category, as well as perceived usefulness (PU) and perceived ease of use (PEU) partially and jointly affect behavioral intention (BI) in research lecturers using Research and Community Service Management Systems in one of the Private University in Java , Indonesia
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How to Cite
Padmawidjaja, L. (2023). The influence of perceived usefulness and perceived ease of use on behavioral intention with TAM approach to users of research management information systems. Enrichment : Journal of Management, 13(3), 1759-1771. https://doi.org/10.35335/enrichment.v13i3.1532
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Alagoz, S. M., & Hekimoglu, H. (2012). A Study on Tam: Analysis of Customer Attitudes in Online Food Ordering System. Procedia - Social and Behavioral Sciences, 62, 1138–1143. https://doi.org/10.1016/j.sbspro.2012.09.195
Alassafi, M. O. (2022). E-learning intention material using TAM: A case study. Materials Today: Proceedings, 61, 873–877. https://doi.org/10.1016/j.matpr.2021.09.457
Alyoussef, I. Y. (2022). Acceptance of a flipped classroom to improve university students’ learning: An empirical study on the TAM model and the unified theory of acceptance and use of technology (UTAUT). Heliyon, 8(12), e12529. https://doi.org/10.1016/j.heliyon.2022.e12529
Atshari, F. R. M., & Wicaksana, P. S. I. (2023). Impact of trust promotion and perception of ease of use on the decision making of the use of ShopeePay in Mega Regency Houses. 13(2).
Caffaro, F., Micheletti Cremasco, M., Roccato, M., & Cavallo, E. (2020). Drivers of farmers’ intention to adopt technological innovations in Italy: The role of information sources, perceived usefulness, and perceived ease of use. Journal of Rural Studies, 76(July 2019), 264–271. https://doi.org/10.1016/j.jrurstud.2020.04.028
Clark, V. P., & Creswell, J. (2014). Understanding Research: A Consumer’s Guide. (2nd ed.). Pearson Education, Inc.
Daragmeh, A., Lentner, C., & Sági, J. (2021). FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32, 100574. https://doi.org/10.1016/j.jbef.2021.100574
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Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
Murwani, F. D. (2008). Faktor-Faktor Penentu Penggunaan Websites sebagai Media Pembelajaran Matakuliah Konsentrasi Pemasaran (Perspektif Theory of Reasoned Action dan Theory of Technology Acceptance). Jurnal Aplikasi Manajemen, 6(2), 49–60. https://jurnaljam.ub.ac.id/index.php/jam/article/view/1886/1411
Rahmadani, A., & Hidayat, A. (2022). The Effect of Online Sacrificial Animal Donation Intentions using the Kitabisa. com Application (Case study there is a Muslim community in Indonesia). Enrichment: Journal …, 12(4). https://enrichment.iocspublisher.org/index.php/enrichment/article/view/699%0Ahttps://enrichment.iocspublisher.org/index.php/enrichment/article/download/699/550
Song, B., Zhang, M., & Wu, P. (2022). Driven by technology or sociality? Use intention of service robots in hospitality from the human–robot interaction perspective. International Journal of Hospitality Management, 106(June), 103278. https://doi.org/10.1016/j.ijhm.2022.103278
Susilawaty, T. E., & Azzahra, A. S. (2023). The effect of ease of use of M-Pajak and ease of use of e-form on MSMEs taxpayer compliance. Enrichment : Journal of Management, 13(1), 32–38. https://doi.org/10.35335/enrichment.v13i1.1184
Taufik, N., & Hanafiah, M. H. (2019). Airport passengers’ adoption behaviour towards self-check-in Kiosk Services: the roles of perceived ease of use, perceived usefulness and need for human interaction. Heliyon, 5(12). https://doi.org/10.1016/j.heliyon.2019.e02960
Teo, T. (2010). A path analysis of pre-service teachers’ attitudes to computer use: Applying and extending the technology acceptance model in an educational context. Interactive Learning Environments, 18(1), 65–79. https://doi.org/10.1080/10494820802231327
Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information and Management, 41(6), 747–762. https://doi.org/10.1016/j.im.2003.08.011
Vogel, R. M., Mitchell, M. S., Tepper, B. J., Restubog, S. L. ., Hu, C., Hua, W., & Huang, J. (2014). A cross-cultural examination of subordinates’ perceptions of and reactions to abusive supervision. Journal of Organizational Behavior. https://doi.org/10.1002/job
Yanny, A., & Afni, R. (2021). The Effect Of Tam On Satisfaction Of PPDB Registration. Enrichment: Journal of Management, 12(1), 283–289. https://www.enrichment.iocspublisher.org/index.php/enrichment/article/view/180%0Ahttps://www.enrichment.iocspublisher.org/index.php/enrichment/article/download/180/153
Yoon, C. (2018). Extending the TAM for Green IT: A normative perspective. Computers in Human Behavior, 83, 129–139. https://doi.org/10.1016/j.chb.2018.01.032
Agarwal, R., & Karahanna, E. (2000). TIME FLIES WHEN YOU’RE HAVING FUN: COGNITIVE ABSORPTION AND BELIEFS ABOUT INFORMATION TECHNOLOGY USAGE. MIS Quarterly: Management Information Systems, 24(4), 665–694.
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.47985/dcidj.475
Akdim, K., Casaló, L. V., & Flavián, C. (2022). The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps. Journal of Retailing and Consumer Services, 66(December 2021). https://doi.org/10.1016/j.jretconser.2021.102888
Alagoz, S. M., & Hekimoglu, H. (2012). A Study on Tam: Analysis of Customer Attitudes in Online Food Ordering System. Procedia - Social and Behavioral Sciences, 62, 1138–1143. https://doi.org/10.1016/j.sbspro.2012.09.195
Alassafi, M. O. (2022). E-learning intention material using TAM: A case study. Materials Today: Proceedings, 61, 873–877. https://doi.org/10.1016/j.matpr.2021.09.457
Alyoussef, I. Y. (2022). Acceptance of a flipped classroom to improve university students’ learning: An empirical study on the TAM model and the unified theory of acceptance and use of technology (UTAUT). Heliyon, 8(12), e12529. https://doi.org/10.1016/j.heliyon.2022.e12529
Atshari, F. R. M., & Wicaksana, P. S. I. (2023). Impact of trust promotion and perception of ease of use on the decision making of the use of ShopeePay in Mega Regency Houses. 13(2).
Caffaro, F., Micheletti Cremasco, M., Roccato, M., & Cavallo, E. (2020). Drivers of farmers’ intention to adopt technological innovations in Italy: The role of information sources, perceived usefulness, and perceived ease of use. Journal of Rural Studies, 76(July 2019), 264–271. https://doi.org/10.1016/j.jrurstud.2020.04.028
Clark, V. P., & Creswell, J. (2014). Understanding Research: A Consumer’s Guide. (2nd ed.). Pearson Education, Inc.
Daragmeh, A., Lentner, C., & Sági, J. (2021). FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32, 100574. https://doi.org/10.1016/j.jbef.2021.100574
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. In International Journal of Man-Machine Studies (Vol. 38, Issue 3, pp. 475–487). https://doi.org/10.1006/imms.1993.1022
Doanh, N. K., Do Dinh, L., & Quynh, N. N. (2022). Tea farmers’ intention to participate in Livestream sales in Vietnam: The combination of the Technology Acceptance Model (TAM) and barrier factors. Journal of Rural Studies, 94(December 2021), 408–417. https://doi.org/10.1016/j.jrurstud.2022.05.023
Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
Murwani, F. D. (2008). Faktor-Faktor Penentu Penggunaan Websites sebagai Media Pembelajaran Matakuliah Konsentrasi Pemasaran (Perspektif Theory of Reasoned Action dan Theory of Technology Acceptance). Jurnal Aplikasi Manajemen, 6(2), 49–60. https://jurnaljam.ub.ac.id/index.php/jam/article/view/1886/1411
Rahmadani, A., & Hidayat, A. (2022). The Effect of Online Sacrificial Animal Donation Intentions using the Kitabisa. com Application (Case study there is a Muslim community in Indonesia). Enrichment: Journal …, 12(4). https://enrichment.iocspublisher.org/index.php/enrichment/article/view/699%0Ahttps://enrichment.iocspublisher.org/index.php/enrichment/article/download/699/550
Song, B., Zhang, M., & Wu, P. (2022). Driven by technology or sociality? Use intention of service robots in hospitality from the human–robot interaction perspective. International Journal of Hospitality Management, 106(June), 103278. https://doi.org/10.1016/j.ijhm.2022.103278
Susilawaty, T. E., & Azzahra, A. S. (2023). The effect of ease of use of M-Pajak and ease of use of e-form on MSMEs taxpayer compliance. Enrichment : Journal of Management, 13(1), 32–38. https://doi.org/10.35335/enrichment.v13i1.1184
Taufik, N., & Hanafiah, M. H. (2019). Airport passengers’ adoption behaviour towards self-check-in Kiosk Services: the roles of perceived ease of use, perceived usefulness and need for human interaction. Heliyon, 5(12). https://doi.org/10.1016/j.heliyon.2019.e02960
Teo, T. (2010). A path analysis of pre-service teachers’ attitudes to computer use: Applying and extending the technology acceptance model in an educational context. Interactive Learning Environments, 18(1), 65–79. https://doi.org/10.1080/10494820802231327
Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information and Management, 41(6), 747–762. https://doi.org/10.1016/j.im.2003.08.011
Vogel, R. M., Mitchell, M. S., Tepper, B. J., Restubog, S. L. ., Hu, C., Hua, W., & Huang, J. (2014). A cross-cultural examination of subordinates’ perceptions of and reactions to abusive supervision. Journal of Organizational Behavior. https://doi.org/10.1002/job
Yanny, A., & Afni, R. (2021). The Effect Of Tam On Satisfaction Of PPDB Registration. Enrichment: Journal of Management, 12(1), 283–289. https://www.enrichment.iocspublisher.org/index.php/enrichment/article/view/180%0Ahttps://www.enrichment.iocspublisher.org/index.php/enrichment/article/download/180/153
Yoon, C. (2018). Extending the TAM for Green IT: A normative perspective. Computers in Human Behavior, 83, 129–139. https://doi.org/10.1016/j.chb.2018.01.032