How to cite this paper
Sari, D., Suprapti, N., Sukaatmadja, I & Sukawati, T. (2023). The implementation of purchasing omnichannel marketing based through the expansion of the UTAUT 2 model.Uncertain Supply Chain Management, 11(4), 1441-1450.
Refrences
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Cummins, S., Peltier, J. W., & Dixon, A. (2016). Omni-channel research framework in the context of personal selling and sales management. Journal of Research in Interactive Marketing, 10(1), 2–16.
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Dhiman, N., Arora, N., Dogra, N., & Gupta, A. (2019). Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective. Journal of Indian Business Research, 12(3), 363–388.
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Gao, W., Fan, H., Li, W., & Wang, H. (2021). Crafting the customer experience in omnichannel contexts: The role of channel integration. Journal of Business Research, 126(1), 12–22.
Gauri, D. K., Jindal, R. P., Ratchford, B., Fox, E., Bhatnagar, A., Pandey, A., & Howerton, E. (2021). Evolution of retail formats: Past, present, and future. Journal of Retailing, 97(1), 42–61.
Ghozali, I. (2021). Aplikasi Analisis Multivariate dengan Program IBM SPSS 21 Update PLS Regresi. Badan Penerbit Universitas Diponegoro. .
Giovanis, A., Athanasopoulou, P., Assimakopoulos, C., & Sarmaniotis, C. (2019). Adoption of mobile banking services. International Journal of Bank Marketing, 37(5), 1165–1189.
Gunasinghe, A., Abd Hamid, J., Khatibi, A., & Azam, S. F. (2019). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86–106.
Harris, P., Riely, F. D., & Hand, C. (2018). Understanding multichannel shopper journey configuration: an application of goal theory. Journal of Retailing and Consumer Services, 44(C), 108–117.
Hoehle, H., Aloysius, J. A., Chan, F., & Venkatesh, V. (2018). Customers tolerance for validation in omnichannel retail stores: Enabling logistics and supply chain analytics. The International Journal of Logistics Management, 29(2), 704–722.
Hole, Y., Pawar, M. S., & Khedkar, E. B. (2019). Omni Channel Retailing: An Opportunity and Challenges in the Indian Market. In Journal of Physics: Conference Series IOP Publishing, 1362(1), 112–121.
Kho, M. (2022). Research on Channel Construction Under Green Marketing. Singapore: Springer Nature Singapore, 465–480.
Kotler, P., & Keller, K. L. (2016). Marketing Management (15th New Jersey). Pearson Pretice Hall, Inc.
Kusuma, R. S. (2017). Penggunaan internet oleh dosen berdasar gender dan generasi. Komuniti: Jurnal Komunikasi Dan Teknologi Informasi, 8(1), 53–63.
Kwateng, K. O., Atiemo, K. A. O., & Appiah, C. (2019). Acceptance and use of mobile banking: an application of UTAUT2. Journal of Enterprise Information Management, 32(1), 118–151.
Maity, M., Bagchi, K., Shah, A., & Misra, A. (2019). Explaining normative behavior in information technology use. Information Technology & People, 32(1), 94–117.
Moghavvemi, S., & Salleh, N. A. M. (2014). Effect of precipitating events on information system adoption and use behaviour. Journal of Enterprise Information Management, 27(5), 599–622.
Mosquera, A., Olarte-Pascual, C., Ayensa, E. J., & Murillo, Y. S. (2018). The role of technology in an omnichannel physical store: Assessing the moderating effect of gender. Spanish Journal of Marketing-ESIC, 22(1), 63–82.
Park, J., & Kim, R. B. (2019). The effects of integrated information & service, institutional mechanism and need for cognition (NFC) on consumer omnichannel adoption behavior. Asia Pacific Journal of Marketing and Logistics, 33(6), 1386–1414.
Priyono, A. (2017). Analisis pengaruh trust dan risk dalam penerimaan teknologi dompet elektronik Go-Pay. Jurnal Siasat Bisnis, 21(1), 88–106.
Singh, S., Sahni, M. M., & Kovid, R. K. (2020). What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model. Management Decision, 58(8), 1675–1697.
Siyal, A. W., Chen, H., Chen, G., Memon, M. M., & Binte, Z. (2020). Structural equation modeling and artificial neural networks approach to predict continued use of mobile taxi booking apps: the mediating role of hedonic motivation. Data Technologies and Application, 55(3), 372–399.
Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting different conceptualizations of system use: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS Quarterly, 32(3), 483–502.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425–478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing: introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174–181.
Wang, R., Xie, X., & Ma, H. (2021). Evolution of omni-channel business models: a new community-based omni-channel and data-enabled ecosystem. Journal of Contemporary Marketing Science, 4(3), 385–396.
Zaware, N., Pawar, A., Samudre, H., & Kale, S. (2020). Omnichannel Consumer Buying Behavior: Apprehending the Purchasing Pattern for Mobile Buyers in India. International Journal of Advanced Science and Technology, 29(3S), 1086–1101.
Zhang, M., Ren, C., Wang, G. A., & He, Z. (2018). The impact of channel integration on consumer responses in omni-channel retailing: The mediating effect of consumer empowerment. Electronic Commerce Research and Applications, 28(1), 181–193.
Ameen, N., Tarhini, A., Shah, M., & Madichie, N. O. (2020). Going with the flow: smart shopping malls and omnichannel retailing. Journal of Services Marketing, 35(3), 325–348.
Camilleri, M. A., & Falzon, L. (2020). Understanding motivations to use online streaming services: integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT). Spanish Journal of Marketing-ESIC, 25(2), 217–238.
Chang, Y., & Geng, L. (2022). Planned or unplanned purchases? The effects of perceived values on omnichannel continuance intention. International Journal of Retail & Distribution Management, 50(12), 1535–1551.
Chiou, J. S., Chou, S. Y., & Shen, G. C. C. (2017). Consumer choice of multichannel shopping: The effects of relationship investment and online store preference. Internet Research, 27(1), 2–20.
Cummins, S., Peltier, J. W., & Dixon, A. (2016). Omni-channel research framework in the context of personal selling and sales management. Journal of Research in Interactive Marketing, 10(1), 2–16.
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.
Dhiman, N., Arora, N., Dogra, N., & Gupta, A. (2019). Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective. Journal of Indian Business Research, 12(3), 363–388.
Fishbein, M., & Ajzen, I. (1975). Intention and Behavior: An introduction to theory and research (Addison-Wesley).
Gao, W., Fan, H., Li, W., & Wang, H. (2021). Crafting the customer experience in omnichannel contexts: The role of channel integration. Journal of Business Research, 126(1), 12–22.
Gauri, D. K., Jindal, R. P., Ratchford, B., Fox, E., Bhatnagar, A., Pandey, A., & Howerton, E. (2021). Evolution of retail formats: Past, present, and future. Journal of Retailing, 97(1), 42–61.
Ghozali, I. (2021). Aplikasi Analisis Multivariate dengan Program IBM SPSS 21 Update PLS Regresi. Badan Penerbit Universitas Diponegoro. .
Giovanis, A., Athanasopoulou, P., Assimakopoulos, C., & Sarmaniotis, C. (2019). Adoption of mobile banking services. International Journal of Bank Marketing, 37(5), 1165–1189.
Gunasinghe, A., Abd Hamid, J., Khatibi, A., & Azam, S. F. (2019). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86–106.
Harris, P., Riely, F. D., & Hand, C. (2018). Understanding multichannel shopper journey configuration: an application of goal theory. Journal of Retailing and Consumer Services, 44(C), 108–117.
Hoehle, H., Aloysius, J. A., Chan, F., & Venkatesh, V. (2018). Customers tolerance for validation in omnichannel retail stores: Enabling logistics and supply chain analytics. The International Journal of Logistics Management, 29(2), 704–722.
Hole, Y., Pawar, M. S., & Khedkar, E. B. (2019). Omni Channel Retailing: An Opportunity and Challenges in the Indian Market. In Journal of Physics: Conference Series IOP Publishing, 1362(1), 112–121.
Kho, M. (2022). Research on Channel Construction Under Green Marketing. Singapore: Springer Nature Singapore, 465–480.
Kotler, P., & Keller, K. L. (2016). Marketing Management (15th New Jersey). Pearson Pretice Hall, Inc.
Kusuma, R. S. (2017). Penggunaan internet oleh dosen berdasar gender dan generasi. Komuniti: Jurnal Komunikasi Dan Teknologi Informasi, 8(1), 53–63.
Kwateng, K. O., Atiemo, K. A. O., & Appiah, C. (2019). Acceptance and use of mobile banking: an application of UTAUT2. Journal of Enterprise Information Management, 32(1), 118–151.
Maity, M., Bagchi, K., Shah, A., & Misra, A. (2019). Explaining normative behavior in information technology use. Information Technology & People, 32(1), 94–117.
Moghavvemi, S., & Salleh, N. A. M. (2014). Effect of precipitating events on information system adoption and use behaviour. Journal of Enterprise Information Management, 27(5), 599–622.
Mosquera, A., Olarte-Pascual, C., Ayensa, E. J., & Murillo, Y. S. (2018). The role of technology in an omnichannel physical store: Assessing the moderating effect of gender. Spanish Journal of Marketing-ESIC, 22(1), 63–82.
Park, J., & Kim, R. B. (2019). The effects of integrated information & service, institutional mechanism and need for cognition (NFC) on consumer omnichannel adoption behavior. Asia Pacific Journal of Marketing and Logistics, 33(6), 1386–1414.
Priyono, A. (2017). Analisis pengaruh trust dan risk dalam penerimaan teknologi dompet elektronik Go-Pay. Jurnal Siasat Bisnis, 21(1), 88–106.
Singh, S., Sahni, M. M., & Kovid, R. K. (2020). What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model. Management Decision, 58(8), 1675–1697.
Siyal, A. W., Chen, H., Chen, G., Memon, M. M., & Binte, Z. (2020). Structural equation modeling and artificial neural networks approach to predict continued use of mobile taxi booking apps: the mediating role of hedonic motivation. Data Technologies and Application, 55(3), 372–399.
Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting different conceptualizations of system use: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS Quarterly, 32(3), 483–502.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425–478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing: introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174–181.
Wang, R., Xie, X., & Ma, H. (2021). Evolution of omni-channel business models: a new community-based omni-channel and data-enabled ecosystem. Journal of Contemporary Marketing Science, 4(3), 385–396.
Zaware, N., Pawar, A., Samudre, H., & Kale, S. (2020). Omnichannel Consumer Buying Behavior: Apprehending the Purchasing Pattern for Mobile Buyers in India. International Journal of Advanced Science and Technology, 29(3S), 1086–1101.
Zhang, M., Ren, C., Wang, G. A., & He, Z. (2018). The impact of channel integration on consumer responses in omni-channel retailing: The mediating effect of consumer empowerment. Electronic Commerce Research and Applications, 28(1), 181–193.