THE EFFECT OF EFFORT EXPECTANCY, SOCIAL INFLUENCE, FACILITATING CONDITIONS, AND HEDONIC MOTIVATION ON THE CONTINUANCE INTENTION TO USE SHOPEEPAY MODERATED BY GENDER
-
Rani Sagita(1*)
Department of Management, Faculty of Economics and Business, Padang State University
-
Rahmiati Rahmiati(2)
Department of Management, Faculty of Economics and Business, Padang State University
(*) Corresponding Author
Keywords:
Unified Theory Acceptance and Use of Technology, Continuance Intention, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation
Abstract
The effect of effort expectancy, social influence, facilitating conditions, and hedonic motivation on the continuance intention to use ShopeePay, moderated by gender. The intention to continue using ShopeePay is explained by the continuance intention itself. Data was collected from 170 ShopeePay users in West Sumatera who participated in an online survey. Data analysis using SmartPLS revealed that the effects of effort expectancy, social influence, facilitating conditions, and hedonic motivation directly impactcontinuance intention. The findings provide evidence that gender influences effort expectancy and social influence on continuance intention.
Keywords: Unified Theory Acceptance and Use of Technology;Continuance Intention; Effort Expectancy; Social Influence; Facilitating Conditions; Hedonic Motivation
Downloads
Download data is not yet available.
References
A$jzen, I. (1991).* The theo$ry o$f pla$nned beha$vio$r. O$rga$niza$tio$na$l Beha$vio$r a$nd Huma$n Decisio$n Pro$cesses, 50(2), 179–211. https://do$i.o$rg/10.1016/0749-5978(91)90020-T
Bha$tta$cherjee, A$. (2001b), “Understa$nding info$rma$tio$n systems co$ntinua$nce: expecta$tio$n-co$nfirma$tio$n mo$del”, MIS Qua$rterly, Vo$l. 25 No$. 3, pp. 351-370 .
Ba$nk Indo$nesia$. (2020). Blueprint Sistem Pemba$ya$ra$n Indo$nesia$ 2025. Ja$ka$rta$: Ba$nk Indo$nesia$.
Cheng, Y.-M., Yu, T.-F., & Hua$ng, C.-H. (2006). A$n empirica$l study o$n the fa$cto$rs a$ffecting co$ntinua$nce intentio$n o$f o$nline sho$pping. O$nline Info$rma$tio$n Review, 30(6), 742–761. https://do$i.o$rg/10.1108/14684520610716153
Da$vis, F.D., Ba$go$zzi, R.P., & Wa$rsha$w, P.R. (1989). User A$ccepta$nce O$f Co$mputer Techno$lo$gy: A$ Co$mpa$riso$n Two$ Theo$retica$l Mo$dels. Ma$na$gement Science, 35(8), 982-1003.
Gho$za$li, I. (2014). Structura$l Equa$tio$n Mo$deling: Meto$de A$lterna$tif denga$n Pa$rtia$l Lea$st Squa$re (PLS). Edisi 4. Sema$ra$ng: Ba$da$n Penerbit Universita$s Dipo$nego$ro$.
Ha$rya$nto$, T., & Setia$wa$n, M. (2020). Fintech A$do$ptio$n in Indo$nesia$: The Impa$ct o$f Techno$lo$gy, Trust, a$nd Perceived Co$nvenience o$n the Use o$f E-Wa$llets. Interna$tio$na$l Jo$urna$l o$f Eco$no$mics, Co$mmerce, a$nd Ma$na$gement, 8(9), 52-69.
Ha$ir, J. F., Hult, G. T. M., Ringle, C. M., & Sa$rstedt, M. (2017).* A$ Primer o$n Pa$rtia$l Lea$st Squa$res Structura$l Equa$tio$n Mo$deling (PLS-SEM). SA$GE Publica$tio$ns.
O$to$rita$s Ja$sa$ Keua$nga$n (O$JK). (2021). La$po$ra$n Perkemba$nga$n Fintech dinesia$. Ja$ka$rta$:O$JK.
Ra$ha$yu, S., & Da$y, J. (2017). Explo$ring the Determina$nts o$f Co$nsumer A$do$ptio$n o$f Digita$l Pa$yment Systems in Indo$nesia$. Jo$urna$l o$f Business Resea$rch, 78(5), 168-179.
Sa$lsa$bila$, A$., & Giri, A$. K. (2017). *A$na$lisis Penga$ruh Kemuda$ha$n, Keperca$ya$a$n, da$n Kea$ma$na$n terha$da$p Mina$t Mengguna$ka$n Ua$ng Elektro$nik*. Jurna$l Eko$no$mi da$n Bisnis, 12(2), 101–110.
Sugiyo$no$. (2019). Qua$lita$tive Qua$ntita$tive Resea$rch Metho$ds & RND. Ba$ndung: A$lfa$beta$.
Tho$ng, J. Y. L., Ho$ng, W., & Ta$m, K. Y. (2006).* The effects o$f po$st-a$do$ptio$n beliefs o$n the expecta$tio$n–co$nfirma$tio$n mo$del fo$r info$rma$tio$n techno$lo$gy co$ntinua$nce. Interna$tio$na$l
Jo$urna$l o$f Huma$n-Co$mputer Studies, 64(9), 799–810. https://do$i.o$rg/10.1016/j.ijhcs.2006.05.001
Venka$tesh, V., Mo$rris, M. G., Da$vis, G. B., & Da$vis, F. D. (2003). "User A$ccepta$nce o$f Info$rma$tio$n Techno$lo$gy: To$wa$rd a$ Unified View". MIS Qua$rterly Vo$l. 27 No$. 3, Pp. 425-478/September 2003, 27(3), 425–478.
https://do$i.o$rg/http://a$bo$ut.jsto$r.o$rg/terms
Venka$tesh, V., Tho$ng, J. y. ., & Xu, X. (2012). Co$nsumer A$ccepta$nce a$nd Use o$f Info$rma$tio$n Techno$lo$gy: Extending the Unified Theo$ry o$f A$ccepta$nce a$nd Use o$f Techno$lo$gy by Viswa$na$th Venka$tesh, Ja$mes YL Tho$ng, Xin Xu :: SSRN. MIS Qua$rterly, 36(1), 157–178. https://pa$pers.ssrn.co$m/so$l3/pa$pers.cfm?a$bstra$ct_id=2002388.
Venka$tesh, V., Bro$wn, S.A$., Ma$ruping, LM, a$nd Ba$la$, H. “Predicting Different Co$nceptua$liza$tio$ns o$f System Use: The Co$mpeting Ro$les o$f Beha$vio$ra$l Intentio$n, Fa$cilita$ting Co$nditio$ns, a$nd Beha$vio$ra$l Expecta$tio$n,” MIS Qua$rterly (32:3), 2008, 483-502.https://do$i.o$rg/10.2307/25148853.
Zheng, X., Cheung, C. M. K., & Lee, M. K. O$. (2013). Ho$w the co$nscio$us a$nd a$uto$ma$tic info$rma$tio$n pro$cessing mo$des influence co$nsumers’ co$ntinua$nce decisio$n in a$n e-co$mmerce website. Pa$cific A$sia$ Jo$urna$l o$f the A$sso$cia$tio$n fo$r Info$rma$tio$n Systems, 5(4), 1–24.
Zho$u, T., Lu, Y., & Wa$ng, B. (2010). Integra$ting TTF a$nd UTA$UT to$ expla$in mo$bile ba$nking user a$do$ptio$n. Co$mputers in Huma$n Beha$vio$r, 26(4), 760–767. https://do$i.o$rg/10.1016/j.chb.2010.01.013.
Bha$tta$cherjee, A$. (2001b), “Understa$nding info$rma$tio$n systems co$ntinua$nce: expecta$tio$n-co$nfirma$tio$n mo$del”, MIS Qua$rterly, Vo$l. 25 No$. 3, pp. 351-370 .
Ba$nk Indo$nesia$. (2020). Blueprint Sistem Pemba$ya$ra$n Indo$nesia$ 2025. Ja$ka$rta$: Ba$nk Indo$nesia$.
Cheng, Y.-M., Yu, T.-F., & Hua$ng, C.-H. (2006). A$n empirica$l study o$n the fa$cto$rs a$ffecting co$ntinua$nce intentio$n o$f o$nline sho$pping. O$nline Info$rma$tio$n Review, 30(6), 742–761. https://do$i.o$rg/10.1108/14684520610716153
Da$vis, F.D., Ba$go$zzi, R.P., & Wa$rsha$w, P.R. (1989). User A$ccepta$nce O$f Co$mputer Techno$lo$gy: A$ Co$mpa$riso$n Two$ Theo$retica$l Mo$dels. Ma$na$gement Science, 35(8), 982-1003.
Gho$za$li, I. (2014). Structura$l Equa$tio$n Mo$deling: Meto$de A$lterna$tif denga$n Pa$rtia$l Lea$st Squa$re (PLS). Edisi 4. Sema$ra$ng: Ba$da$n Penerbit Universita$s Dipo$nego$ro$.
Ha$rya$nto$, T., & Setia$wa$n, M. (2020). Fintech A$do$ptio$n in Indo$nesia$: The Impa$ct o$f Techno$lo$gy, Trust, a$nd Perceived Co$nvenience o$n the Use o$f E-Wa$llets. Interna$tio$na$l Jo$urna$l o$f Eco$no$mics, Co$mmerce, a$nd Ma$na$gement, 8(9), 52-69.
Ha$ir, J. F., Hult, G. T. M., Ringle, C. M., & Sa$rstedt, M. (2017).* A$ Primer o$n Pa$rtia$l Lea$st Squa$res Structura$l Equa$tio$n Mo$deling (PLS-SEM). SA$GE Publica$tio$ns.
O$to$rita$s Ja$sa$ Keua$nga$n (O$JK). (2021). La$po$ra$n Perkemba$nga$n Fintech dinesia$. Ja$ka$rta$:O$JK.
Ra$ha$yu, S., & Da$y, J. (2017). Explo$ring the Determina$nts o$f Co$nsumer A$do$ptio$n o$f Digita$l Pa$yment Systems in Indo$nesia$. Jo$urna$l o$f Business Resea$rch, 78(5), 168-179.
Sa$lsa$bila$, A$., & Giri, A$. K. (2017). *A$na$lisis Penga$ruh Kemuda$ha$n, Keperca$ya$a$n, da$n Kea$ma$na$n terha$da$p Mina$t Mengguna$ka$n Ua$ng Elektro$nik*. Jurna$l Eko$no$mi da$n Bisnis, 12(2), 101–110.
Sugiyo$no$. (2019). Qua$lita$tive Qua$ntita$tive Resea$rch Metho$ds & RND. Ba$ndung: A$lfa$beta$.
Tho$ng, J. Y. L., Ho$ng, W., & Ta$m, K. Y. (2006).* The effects o$f po$st-a$do$ptio$n beliefs o$n the expecta$tio$n–co$nfirma$tio$n mo$del fo$r info$rma$tio$n techno$lo$gy co$ntinua$nce. Interna$tio$na$l
Jo$urna$l o$f Huma$n-Co$mputer Studies, 64(9), 799–810. https://do$i.o$rg/10.1016/j.ijhcs.2006.05.001
Venka$tesh, V., Mo$rris, M. G., Da$vis, G. B., & Da$vis, F. D. (2003). "User A$ccepta$nce o$f Info$rma$tio$n Techno$lo$gy: To$wa$rd a$ Unified View". MIS Qua$rterly Vo$l. 27 No$. 3, Pp. 425-478/September 2003, 27(3), 425–478.
https://do$i.o$rg/http://a$bo$ut.jsto$r.o$rg/terms
Venka$tesh, V., Tho$ng, J. y. ., & Xu, X. (2012). Co$nsumer A$ccepta$nce a$nd Use o$f Info$rma$tio$n Techno$lo$gy: Extending the Unified Theo$ry o$f A$ccepta$nce a$nd Use o$f Techno$lo$gy by Viswa$na$th Venka$tesh, Ja$mes YL Tho$ng, Xin Xu :: SSRN. MIS Qua$rterly, 36(1), 157–178. https://pa$pers.ssrn.co$m/so$l3/pa$pers.cfm?a$bstra$ct_id=2002388.
Venka$tesh, V., Bro$wn, S.A$., Ma$ruping, LM, a$nd Ba$la$, H. “Predicting Different Co$nceptua$liza$tio$ns o$f System Use: The Co$mpeting Ro$les o$f Beha$vio$ra$l Intentio$n, Fa$cilita$ting Co$nditio$ns, a$nd Beha$vio$ra$l Expecta$tio$n,” MIS Qua$rterly (32:3), 2008, 483-502.https://do$i.o$rg/10.2307/25148853.
Zheng, X., Cheung, C. M. K., & Lee, M. K. O$. (2013). Ho$w the co$nscio$us a$nd a$uto$ma$tic info$rma$tio$n pro$cessing mo$des influence co$nsumers’ co$ntinua$nce decisio$n in a$n e-co$mmerce website. Pa$cific A$sia$ Jo$urna$l o$f the A$sso$cia$tio$n fo$r Info$rma$tio$n Systems, 5(4), 1–24.
Zho$u, T., Lu, Y., & Wa$ng, B. (2010). Integra$ting TTF a$nd UTA$UT to$ expla$in mo$bile ba$nking user a$do$ptio$n. Co$mputers in Huma$n Beha$vio$r, 26(4), 760–767. https://do$i.o$rg/10.1016/j.chb.2010.01.013.
Published
2025-07-22
How to Cite
Sagita, R., & Rahmiati, R. (2025). THE EFFECT OF EFFORT EXPECTANCY, SOCIAL INFLUENCE, FACILITATING CONDITIONS, AND HEDONIC MOTIVATION ON THE CONTINUANCE INTENTION TO USE SHOPEEPAY MODERATED BY GENDER. Journal of Management : Small and Medium Enterprises (SMEs), 18(2), 1199-1214. https://doi.org/10.35508/jom.v18i2.20636
Section
Articles
