How to cite this paper
Astari, A., Yasa, N., Sukaatmadja, I & Giantari, I. (2022). Integration of technology acceptance model (TAM) and theory of planned behavior (TPB): An e-wallet behavior with fear of covid-19 as a moderator variable.International Journal of Data and Network Science, 6(4), 1427-1436.
Refrences
Ahorsu, D. K., Lin, C. Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2020). The Fear of COVID-19 Scale: Development and Initial Validation. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-020-00270-8
Ajzen, (2005). From Intentions to Actions: A Theory of Planned Behavior IcekAjzen.
Ajzen, I. (1991). The Theory of Planned Behavior.
Ajzen, I. (1998). Models of human social behavior and their application to health psychology. Psychology and Health, 13(4), 735–739. https://doi.org/10.1080/08870449808407426
Aldhmour, F., Sarayrah, I., & Author, C. (2016). Leave a message An Investigation Of Factors Influencing Consumers’ In-tention To Use Online Shopping: An Empirical Study In South Of Jordan.
Al-Maroof, R. S., Salloum, S. A., Hassanien, A. E., & Shaalan, K. (2020). Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic. Interactive Learning Environments. https://doi.org/10.1080/10494820.2020.1830121
Amoroso, D. L., & Magnier-Watanabe, R. (2012a). Building a research model for mobile wallet consumer adoption: The case of mobile Suica in Japan. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 94–110. https://doi.org/10.4067/S0718-18762012000100008
Bae, S. Y., & Chang, P. J. (2021). The effect of coronavirus disease-19 (COVID-19) risk perception on behavioural inten-tion towards ‘untact’ tourism in South Korea during the first wave of the pandemic (March 2020). Current Issues in Tourism, 24(7), 1017–1035. https://doi.org/10.1080/13683500.2020.1798895
Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10(JULY). https://doi.org/10.3389/fpsyg.2019.01652
Chayomchai, A., Phonsiri, W., Junjit, A., Boongapim, R., & Suwannapusit, U. (2020). Factors affecting acceptance and use of online technology in Thai people during COVID-19 quarantine time. Management Science Letters, 10(13), 3009–3016. https://doi.org/10.5267/j.msl.2020.5.024
Chin, W. W. (1998). The Partial Least Squares Aproach to Structural Equation Modeling. Modern Methods for Business Research, 295, 336
Choi, J., Lee, A., & Ok, C. (2013). The Effects of Consumers’ Perceived Risk and Benefit on Attitude and Behavioral In-tention: A Study of Street Food. Journal of Travel and Tourism Marketing, 30(3), 222–237. https://doi.org/10.1080/10548408.2013.774916
Christina, Y.and Yasa, N.N.K. (2021), Application of theory of planned behavior to study online booking behavior, Inter-national Journal of Data and Network Science, 5 (3), 331-340
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
De, R., Abrahão, S., Moriguchi, S. N., & Andrade, F. (2016). Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT). RAI Revista de Administração e Ino-vação, 13, 221–230. https://doi.org/10.1016/j.rai.2016.06.003
Dewi, CRA., NNK Yasa, Giantari, IGAK., Sukawati, TGR, Setiawan,P.Y. (2020), The Effect Of Security, Trust and Ease of Use Towards Repurchase Intentions Mediated by E-Satisfaction on Online Travel Agent, Journal of Advanced Re-search in Dynamical and Control Systems, 12(8), 340-354.
Dulloo, R., Mokashi, J., Puri, M. M., Dulloo Assistant Professor, R., Pune, R., Mokashi Assistant Professor, J., & Puri Di-rector, M. M. (n.d.). The Unified Theory of Acceptance and Use of Technology (UTAUT).
El Haddad, G., Aimeur, E., & Hage, H. (2018). Understanding Trust, Privacy and Financial Fears in Online Payment. Pro-ceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018, 28–36. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00015
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. Interna-tional Journal of Human Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
Fortes, N., Rita, P., Pagani, M., Fortes, N., Rita, P., & Pagani, M. (2017). The effects of privacy concerns, perceived risk and trust on online purchasing behaviour. In International Journal of Contemporary Hospitality Management (Vol. 11, Issue 4).
Gefen, D., Karahanna, E., & Straub, D. W. (1997). Gefen et al./Trust and TAM in Online Shopping TRUST AND TAM IN ONLINE SHOPPING: AN INTEGRATED MODEL1.
Ho, N. T. T., Sivapalan, S., Pham, H. H., Nguyen, L. T. M., Pham, A. T. van, & Dinh, H. V. (2020). Students’ adoption of e-learning in emergency situation: the case of a Vietnamese university during COVID-19. Interactive Technology and Smart Education, 18(2), 246–269. https://doi.org/10.1108/ITSE-08-2020-0164
Hsu, S.-H. (2012). Factors Influencing on Online Shopping Attitude and Intention of Mongolian Consumers. In The Jour-nal of International Management Studies, 7(2).
Indiani, N.L.P., Rahyuda, I K., Yasa, N.N.K., Sukaatmadja, IP.G. (2015), Perceived risk and trust as major determinants of actual purchase, transcending the influence of intention, ASEAN Marketing Journal, 7(1), 1-13
Jogiyanto. (2007). Sistem Informasi Keperilakuan. Edisi Revisi. Yogyakarta: Andi Offset
Juniwati. (2014). Influence of Perceived Usefulness, Ease of Use, Risk on Attitude and Intention to Shop Online Juniwati. www.iiste.org
Kanuk, S. (2008). Leon &, Leslie Lazar,“Consumer Behaviour” 7th Edition (Perilaku Konsumen). PT. Indeks.
Kaur, S., & Arora, S. (2021). Role of perceived risk in online banking and its impact on behavioral intention: trust as a moderator. Journal of Asia Business Studies, 15(1), 1–30. https://doi.org/10.1108/JABS-08-2019-0252
Sabili Ma’ruf, S. (2018). The Influence Of Ease Of Use, Usefulness, Perceived Risk, And Convenience On Consumer Atti-tude On Online Shopping (A Case Study Of Lazada.Com). http://tekno.liputan6.com/read/2268928/k
Kim, C., Cheon, S. H., Choi, K., Joh, C. H., & Lee, H. J. (2017). Exposure to fear: Changes in travel behavior during MERS outbreak in Seoul. KSCE Journal of Civil Engineering, 21(7), 2888–2895. https://doi.org/10.1007/s12205-017-0821-5
Lafraxo, Y., Hadri, F., Amhal, H., & Rossafi, A. (2018). The Effect of Trust, Perceived Risk and Security on the Adoption of Mobile Banking in Morocco.
Lee, T. H. (2009). A Structural model to examine how destination image, attitude, and motivation affect the future behav-ior of tourists. Leisure Sciences, 31(3), 215–236. https://doi.org/10.1080/01490400902837787
Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN). International Journal of Information Management, 34(2), 151–166. https://doi.org/10.1016/j.ijinfomgt.2013.12.006
Ma’ruf, J. J., Mohamad, O., & Ramayah, T. (2005). Intention To Purchase Via The Internet: A Comparison Of Two Theo-retical Models. In Asian Academy of Management Journal, 10(1). http://www.nua.ie/surveys,
Mertens, G., Gerritsen, L., Duijndam, S., Salemink, E., & Engelhard, I. M. (2020). Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. Journal of Anxiety Disorders, 74. https://doi.org/10.1016/j.janxdis.2020.102258
Miandari, G. A. K. D.D., Yasa, N.N.K., Wardana, IM., Giantari, IGAK, Setini, (2021), Application of Technology Ac-ceptance Model to Explain Repurchase Intention in Online Shopping Consumers, Webology, 18(1), 247-262.
Moshrefjavadi, M. H., Rezaie Dolatabadi, H., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A. (2012). An Analysis of Factors Affecting on Online Shopping Behavior of Consumers. International Journal of Marketing Studies, 4(5). https://doi.org/10.5539/ijms.v4n5p81
Mulyani, A., & Kurniadi, D. (2015). Analisis Penerimaan Teknologi Student Information Terminal (S-IT) Dengan Menggunakan Technology Acceptance Model (TAM) (Studi Kasus: AMIK Garut). In Jurnal Wawasan Ilmiah (Vol. 7).
Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. Journal of High Technology Management Research, 23(1), 1–14. https://doi.org/10.1016/j.hitech.2012.03.001
Nunkoo, R., Juwaheer, T. D., & Rambhunjun, T. (2013). Applying the Extended Technology Acceptance Model to Under-stand Online Purchase Behavior of Travelers.
Oentario, Y., Harianto, A., & Irawati, J. (2017). Pengaruh Usefulness, Ease Of Use, Risk Terhadap Intentionto Buy Onlinepatisserie Melalui Consumer Attitude Berbasis Media Sosial Di Surabaya. Jurnal Manajemen Pemasaran, 11(1). https://doi.org/10.9744/pemasaran.11.1.26-31
Pakpour, A. H., & Griffiths, M. D. (2020). The fear of COVID-19 and its role in preventive behaviors. In Journal of Con-current Disorders.
Pavlou, P. A. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Ac-ceptance Model. In International Journal of Electronic Commerce, 7(3).
Rahmayanti, P.L.D., I Widagda, Yasa, N.N.K., Giantari, Martaleni, Sakti, B., Suwitho, Anggreni, P. (2021), Integration of technology acceptance model and theory of reasoned action in pre-dicting e-wallet continuous usage intentions, Inter-national Journal of Data and Network Science, 5(4), 649-658
Rahmayanti, P.L.D., Dharmanegara, IB.A., Yasa, N.N.K., Sukaatmadja, IPG., Pramudana, K.A.S., Rahanatha, G.B., Gianta-ri, IGAK., Martaleni, (2022), What drives millennials and zillennials continuously using instant messaging? Perspec-tive from Indonesia, International Journal of Data and Network Science, 6(1), 17-26
Riemenschneider, C. K., Harrison, D. A., & Mykytyn, P. P. (2001). Understanding it adoption decisions in small business: integrating current theories
Sana, P. A.A, Ni Wayan Sri Suprapti, Ni Nyoman Kerti Yasa, I Putu Gde Sukaatmadja, (2019), Technology Acceptance Model and Trust in Explaining Customer Intention to Use Internet Banking, RJOAS, 7(91), 254-262
Sánchez-Cañizares, S. M., Cabeza-Ramírez, L. J., Muñoz-Fernández, G., & Fuentes-García, F. J. (2021). Impact of the perceived risk from Covid-19 on intention to travel. Current Issues in Tourism, 24(7), 970–984. https://doi.org/10.1080/13683500.2020.1829571
Setyawati, R. E. (2020). Pengaruh Perceived Usefullness, Perceived Ease Of Use Terhadap Behavioral Intention To Use Dengan Atittude Towards Using Sebagai Variabel Intervening (Studi Kasus Pada Gopay Dikota Yogyakarta). In Jurnal Ekobis Dewantara (Vol. 3, Issue 1).
Sidharta, I., & Sidh, R. (n.d.). STMIK Mardira Indonesia, Bandung 1 Balai Informasi Teknologi, Lembaga Ilmu Penge-tahuan Indonesia 2 Email: i_sidh@stmik-mi.ac.id 1 Email: rahm027@lipi.go.id 2.
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Ajzen, (2005). From Intentions to Actions: A Theory of Planned Behavior IcekAjzen.
Ajzen, I. (1991). The Theory of Planned Behavior.
Ajzen, I. (1998). Models of human social behavior and their application to health psychology. Psychology and Health, 13(4), 735–739. https://doi.org/10.1080/08870449808407426
Aldhmour, F., Sarayrah, I., & Author, C. (2016). Leave a message An Investigation Of Factors Influencing Consumers’ In-tention To Use Online Shopping: An Empirical Study In South Of Jordan.
Al-Maroof, R. S., Salloum, S. A., Hassanien, A. E., & Shaalan, K. (2020). Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic. Interactive Learning Environments. https://doi.org/10.1080/10494820.2020.1830121
Amoroso, D. L., & Magnier-Watanabe, R. (2012a). Building a research model for mobile wallet consumer adoption: The case of mobile Suica in Japan. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 94–110. https://doi.org/10.4067/S0718-18762012000100008
Bae, S. Y., & Chang, P. J. (2021). The effect of coronavirus disease-19 (COVID-19) risk perception on behavioural inten-tion towards ‘untact’ tourism in South Korea during the first wave of the pandemic (March 2020). Current Issues in Tourism, 24(7), 1017–1035. https://doi.org/10.1080/13683500.2020.1798895
Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10(JULY). https://doi.org/10.3389/fpsyg.2019.01652
Chayomchai, A., Phonsiri, W., Junjit, A., Boongapim, R., & Suwannapusit, U. (2020). Factors affecting acceptance and use of online technology in Thai people during COVID-19 quarantine time. Management Science Letters, 10(13), 3009–3016. https://doi.org/10.5267/j.msl.2020.5.024
Chin, W. W. (1998). The Partial Least Squares Aproach to Structural Equation Modeling. Modern Methods for Business Research, 295, 336
Choi, J., Lee, A., & Ok, C. (2013). The Effects of Consumers’ Perceived Risk and Benefit on Attitude and Behavioral In-tention: A Study of Street Food. Journal of Travel and Tourism Marketing, 30(3), 222–237. https://doi.org/10.1080/10548408.2013.774916
Christina, Y.and Yasa, N.N.K. (2021), Application of theory of planned behavior to study online booking behavior, Inter-national Journal of Data and Network Science, 5 (3), 331-340
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
De, R., Abrahão, S., Moriguchi, S. N., & Andrade, F. (2016). Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT). RAI Revista de Administração e Ino-vação, 13, 221–230. https://doi.org/10.1016/j.rai.2016.06.003
Dewi, CRA., NNK Yasa, Giantari, IGAK., Sukawati, TGR, Setiawan,P.Y. (2020), The Effect Of Security, Trust and Ease of Use Towards Repurchase Intentions Mediated by E-Satisfaction on Online Travel Agent, Journal of Advanced Re-search in Dynamical and Control Systems, 12(8), 340-354.
Dulloo, R., Mokashi, J., Puri, M. M., Dulloo Assistant Professor, R., Pune, R., Mokashi Assistant Professor, J., & Puri Di-rector, M. M. (n.d.). The Unified Theory of Acceptance and Use of Technology (UTAUT).
El Haddad, G., Aimeur, E., & Hage, H. (2018). Understanding Trust, Privacy and Financial Fears in Online Payment. Pro-ceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018, 28–36. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00015
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. Interna-tional Journal of Human Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
Fortes, N., Rita, P., Pagani, M., Fortes, N., Rita, P., & Pagani, M. (2017). The effects of privacy concerns, perceived risk and trust on online purchasing behaviour. In International Journal of Contemporary Hospitality Management (Vol. 11, Issue 4).
Gefen, D., Karahanna, E., & Straub, D. W. (1997). Gefen et al./Trust and TAM in Online Shopping TRUST AND TAM IN ONLINE SHOPPING: AN INTEGRATED MODEL1.
Ho, N. T. T., Sivapalan, S., Pham, H. H., Nguyen, L. T. M., Pham, A. T. van, & Dinh, H. V. (2020). Students’ adoption of e-learning in emergency situation: the case of a Vietnamese university during COVID-19. Interactive Technology and Smart Education, 18(2), 246–269. https://doi.org/10.1108/ITSE-08-2020-0164
Hsu, S.-H. (2012). Factors Influencing on Online Shopping Attitude and Intention of Mongolian Consumers. In The Jour-nal of International Management Studies, 7(2).
Indiani, N.L.P., Rahyuda, I K., Yasa, N.N.K., Sukaatmadja, IP.G. (2015), Perceived risk and trust as major determinants of actual purchase, transcending the influence of intention, ASEAN Marketing Journal, 7(1), 1-13
Jogiyanto. (2007). Sistem Informasi Keperilakuan. Edisi Revisi. Yogyakarta: Andi Offset
Juniwati. (2014). Influence of Perceived Usefulness, Ease of Use, Risk on Attitude and Intention to Shop Online Juniwati. www.iiste.org
Kanuk, S. (2008). Leon &, Leslie Lazar,“Consumer Behaviour” 7th Edition (Perilaku Konsumen). PT. Indeks.
Kaur, S., & Arora, S. (2021). Role of perceived risk in online banking and its impact on behavioral intention: trust as a moderator. Journal of Asia Business Studies, 15(1), 1–30. https://doi.org/10.1108/JABS-08-2019-0252
Sabili Ma’ruf, S. (2018). The Influence Of Ease Of Use, Usefulness, Perceived Risk, And Convenience On Consumer Atti-tude On Online Shopping (A Case Study Of Lazada.Com). http://tekno.liputan6.com/read/2268928/k
Kim, C., Cheon, S. H., Choi, K., Joh, C. H., & Lee, H. J. (2017). Exposure to fear: Changes in travel behavior during MERS outbreak in Seoul. KSCE Journal of Civil Engineering, 21(7), 2888–2895. https://doi.org/10.1007/s12205-017-0821-5
Lafraxo, Y., Hadri, F., Amhal, H., & Rossafi, A. (2018). The Effect of Trust, Perceived Risk and Security on the Adoption of Mobile Banking in Morocco.
Lee, T. H. (2009). A Structural model to examine how destination image, attitude, and motivation affect the future behav-ior of tourists. Leisure Sciences, 31(3), 215–236. https://doi.org/10.1080/01490400902837787
Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN). International Journal of Information Management, 34(2), 151–166. https://doi.org/10.1016/j.ijinfomgt.2013.12.006
Ma’ruf, J. J., Mohamad, O., & Ramayah, T. (2005). Intention To Purchase Via The Internet: A Comparison Of Two Theo-retical Models. In Asian Academy of Management Journal, 10(1). http://www.nua.ie/surveys,
Mertens, G., Gerritsen, L., Duijndam, S., Salemink, E., & Engelhard, I. M. (2020). Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. Journal of Anxiety Disorders, 74. https://doi.org/10.1016/j.janxdis.2020.102258
Miandari, G. A. K. D.D., Yasa, N.N.K., Wardana, IM., Giantari, IGAK, Setini, (2021), Application of Technology Ac-ceptance Model to Explain Repurchase Intention in Online Shopping Consumers, Webology, 18(1), 247-262.
Moshrefjavadi, M. H., Rezaie Dolatabadi, H., Nourbakhsh, M., Poursaeedi, A., & Asadollahi, A. (2012). An Analysis of Factors Affecting on Online Shopping Behavior of Consumers. International Journal of Marketing Studies, 4(5). https://doi.org/10.5539/ijms.v4n5p81
Mulyani, A., & Kurniadi, D. (2015). Analisis Penerimaan Teknologi Student Information Terminal (S-IT) Dengan Menggunakan Technology Acceptance Model (TAM) (Studi Kasus: AMIK Garut). In Jurnal Wawasan Ilmiah (Vol. 7).
Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. Journal of High Technology Management Research, 23(1), 1–14. https://doi.org/10.1016/j.hitech.2012.03.001
Nunkoo, R., Juwaheer, T. D., & Rambhunjun, T. (2013). Applying the Extended Technology Acceptance Model to Under-stand Online Purchase Behavior of Travelers.
Oentario, Y., Harianto, A., & Irawati, J. (2017). Pengaruh Usefulness, Ease Of Use, Risk Terhadap Intentionto Buy Onlinepatisserie Melalui Consumer Attitude Berbasis Media Sosial Di Surabaya. Jurnal Manajemen Pemasaran, 11(1). https://doi.org/10.9744/pemasaran.11.1.26-31
Pakpour, A. H., & Griffiths, M. D. (2020). The fear of COVID-19 and its role in preventive behaviors. In Journal of Con-current Disorders.
Pavlou, P. A. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Ac-ceptance Model. In International Journal of Electronic Commerce, 7(3).
Rahmayanti, P.L.D., I Widagda, Yasa, N.N.K., Giantari, Martaleni, Sakti, B., Suwitho, Anggreni, P. (2021), Integration of technology acceptance model and theory of reasoned action in pre-dicting e-wallet continuous usage intentions, Inter-national Journal of Data and Network Science, 5(4), 649-658
Rahmayanti, P.L.D., Dharmanegara, IB.A., Yasa, N.N.K., Sukaatmadja, IPG., Pramudana, K.A.S., Rahanatha, G.B., Gianta-ri, IGAK., Martaleni, (2022), What drives millennials and zillennials continuously using instant messaging? Perspec-tive from Indonesia, International Journal of Data and Network Science, 6(1), 17-26
Riemenschneider, C. K., Harrison, D. A., & Mykytyn, P. P. (2001). Understanding it adoption decisions in small business: integrating current theories
Sana, P. A.A, Ni Wayan Sri Suprapti, Ni Nyoman Kerti Yasa, I Putu Gde Sukaatmadja, (2019), Technology Acceptance Model and Trust in Explaining Customer Intention to Use Internet Banking, RJOAS, 7(91), 254-262
Sánchez-Cañizares, S. M., Cabeza-Ramírez, L. J., Muñoz-Fernández, G., & Fuentes-García, F. J. (2021). Impact of the perceived risk from Covid-19 on intention to travel. Current Issues in Tourism, 24(7), 970–984. https://doi.org/10.1080/13683500.2020.1829571
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