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    المصدر: Journal of Ecological Engineering, Vol 23, Iss 11, Pp 286-293 (2022)

    وصف الملف: electronic resource

    العلاقة: http://www.jeeng.net/Effect-of-DosingTest-PIX-113-Coagulant-to-the-Batch-on-Mesophilic-Fermentation-Process,154771,0,2.html; https://doaj.org/toc/2299-8993Test

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    المصدر: CBR - Consumer Behavior Review; v. 7, n. 1 (2023): january-december ; 2526-7884

    وصف الملف: application/pdf

    العلاقة: https://periodicos.ufpe.br/revistas/cbr/article/view/255198/44010Test; Almeida, C. B. S., Araújo, M. R. M. de, & Luft, M. C. M. S. (2020). Modelo explicativo para intenção de uso de serviços de fintechs: A perspectiva dos consumidores brasileiros das gerações Y e Z. Revista dos Mestrados Profissionais, 9(2), 202–225.; Banco Central do Brasil - BCB. (2022). Pix. Pix. https://www.bcb.gov.br/estabilidadefinanceiraTest/pix; Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351–370.; Blut, M., & Wang, C. (2020). Technology readiness: A meta-analysis of conceptualizations of the construct and its impact on technology usage. Journal of the Academy of Marketing Science, 48(4), 649–669. https://doi.org/10.1007/s11747-019-00680-8Test; Borges, L., Figueiredo, P., Passos, F. U., & Santos, E. M. (2021). Determinant factors of market acceptance of the digital banking technology in the brazilian context. Marketing & Tourism Review, 6(2), 1–36.; Braga, B. S., Barbosa, J. G. P., & Bouzada, M. A. C. (2017). The Influence of Demographic Characteristics of Users on Their Adoption Decision of Mobile Banking. PMKT - Revista Brasileira de Pesquisas de Marketing, Opinião e Mídia, 10(2), 136–153.; Caldeira, T. A., Ferreira, J. B., Freitas, A., & Falcão, R. P. de Q. (2021). Adoção de Pagamentos Móveis no Brasil: Prontidão para a Tecnologia, Confiança e Qualidade Percebida. BBR. Brazilian Business Review, 18, 415–432. https://doi.org/10.15728/bbr.2021.18.4.4Test; Chen, S., Chen, H., & Chen, M. (2009). Determinants of satisfaction and continuance intention towards self‐service technologies. Industrial Management & Data Systems, 109(9), 1248–1263.; Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results [(Ph.D. in Management)]. Massachusetts Institute of Technology.; Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.; 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.; Deng, Z., Lu, Y., Wei, K. K., & Zhang, J. (2010). Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China. International Journal of Information Management, 30(4), 289–300. https://doi.org/10.1016/j.ijinfomgt.2009.10.001Test; Duarte, A., Frost, J., Gambacorta, L., Koo Wilkens, P., & Shin, H. S. (2022). Central Banks, the Monetary System and Public Payment Infrastructures: Lessons from Brazil’s Pix. BIS Bulletin, 52. https://doi.org/10.2139/ssrn.4064528Test; Federação Brasileira de Bancos - FEBRABAN. (2022). Pesquisa FEBRABAN de Tecnologia Bancária 2022. https://cmsarquivos.febraban.org.br/Arquivos/documentos/PDF/pesquisa-febraban-2022-vol-3.pdfTest; Ferreira, J. B., Rocha, A. da, & Silva, J. F. da. (2014). Impacts of technology readiness on emotions and cognition in Brazil. Journal of Business Research, 67(5), 865–873.; Ferreira, R. de M., & Prearo, L. C. (2018). Determinantes no uso do mobile banking para operações e transações financeiras em dispositivos móveis: Um estudo financeiro no município de São Paulo. Navus: Revista de Gestão e Tecnologia, 8(3), 23–36.; Foroughi, B., Iranmanesh, M., & Hyun, S. S. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of Enterprise Information Management, 32(6), 1015–1033. https://doi.org/10.1108/JEIM-10-2018-0237Test; Franque, F. B., Oliveira, T., & Tam, C. (2021). Understanding the factors of mobile payment continuance intention: Empirical test in an African context. Heliyon, 7(8), e07807. https://doi.org/10.1016/j.heliyon.2021.e07807Test; Franque, F. B., Oliveira, T., Tam, C., & Santini, F. de O. (2020). A meta-analysis of the quantitative studies in continuance intention to use an information system. Internet Research, 31(1), 123–158. https://doi.org/10.1108/INTR-03-2019-0103Test; Grohmann, M. Z., Radons, D. L., Battistella, L. F., & Anschau, T. P. (2014). Understanding of Satisfaction and Intention of Continuity of Use of Technology Through the Index of Technological Readiness. RAI - Revista de Administração e Inovação, 11(3), 101–124. https://doi.org/10.11606/rai.v11i3.100217Test; Gupta, A., Yousaf, A., & Mishra, A. (2020). How pre-adoption expectancies shape post-adoption continuance intentions: An extended expectation-confirmation model. International Journal of Information Management, 52, e102094. https://doi.org/10.1016/j.ijinfomgt.2020.102094Test; Hair Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis (7 edition). Prentice Hall.; Hossain, A., Hossain, S., & Jahan, N. (2018). Predicting Continuance Usage Intention of Mobile Payment: An Experimental Study of Bangladeshi Customers. Asian Economic and Financial Review, 8(4), 487–498.; Huang, S. Y. B., & Lee, C.-J. (2022). Predicting continuance intention to fintech chatbot. Computers in Human Behavior, 129, 107027. https://doi.org/10.1016/j.chb.2021.107027Test; Humbani, M., & Wiese, M. (2019). An integrated framework for the adoption and continuance intention to use mobile payment apps. International Journal of Bank Marketing, 37(2), 646–664. https://doi.org/10.1108/IJBM-03-2018-0072Test; Kumar, A., Adlakaha, A., & Mukherjee, K. (2018). The effect of perceived security and grievance redressal on continuance intention to use M-wallets in a developing country. International Journal of Bank Marketing, 36(7), 1170–1189. https://doi.org/10.1108/IJBM-04-2017-0077Test; Levitt, T. (1960). Marketing Myopia. Harvard Business Review, 38, 24–47.; Liljander, V., Gillberg, F., Gummerus, J., & van Riel, A. (2006). Technology readiness and the evaluation and adoption of self-service technologies. Journal of Retailing and Consumer Services, 13(3), 177–191.; Lin, C.-H., Shih, H.-Y., & Sher, P. J. (2007). Integrating technology readiness into technology acceptance: The TRAM model. Psychology and Marketing, 24(7), 641–657.; Luna, I. R. de, Montoro-Ríos, F., Liébana-Cabanillas, F., & Luna, J. G. de. (2017). NFC technology acceptance for mobile payments: A Brazilian Perspective. Revista Brasileira de Gestão de Negócios, 19(63), 82–103. https://doi.org/10.7819/rbgn.v0i0.2315Test; Mainardes, E. W., Costa, P. M. F., & Nossa, S. N. (2022). Customers’ satisfaction with fintech services: Evidence from Brazil. Journal of Financial Services Marketing. https://doi.org/10.1057/s41264-022-00156-xTest; Mangini, E. R., Silva, N. G. da, & Carvalho, J. R. C. de. (2020). Virtual Banks and the Perceived Risk and Development and Effort Expectancy on Behavioral Intention. REMark. Revista Brasileira de Marketing, 19(4), 838–862. https://doi.org/10.5585/remark.v19i4.16283Test; Meirelles, F. S. (2022). Panorama do Uso de TI no Brasil—2022. Portal FGV. https://portal.fgv.br/artigos/panorama-uso-ti-brasil-2022Test; Nurlaily, F., Aini, E. K., & Asmoro, P. S. (2021). Understanding the FinTech continuance intention of Indonesian users: The moderating effect of gender. Business: Theory and Practice, 22(2), 290–298. https://doi.org/10.3846/btp.2021.13880Test; Oliver, R. L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.2307/3150499Test; Parasuraman, A. (2000). Technology Readiness Index (TRI) A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research, 2(4), 307–320.; Parasuraman, A., & Colby, C. L. (2014). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 01–17.; Phuong, N. N. D., Luan, L. T., Dong, V. V., & Khanh, N. L. N. (2020). Examining Customers’ Continuance Intentions towards E-wallet Usage: The Emergence of Mobile Payment Acceptance in Vietnam. The Journal of Asian Finance, Economics and Business, 7(9), 505–516. https://doi.org/10.13106/jafeb.2020.vol7.no9.505Test; Priananda, I., Stevani, M., Sutanto, T. I., & Mariani, M. (2020). Grassroots Economy Towards Cashless Society: An Empirical Analysis Of Micro-Merchant’s Readiness in Continuing The Usage of Cashless Payment System. International Journal of Scientific & Technology Research, 9(3), 929–938.; Rafdinal, W., & Senalasari, W. (2021). Predicting the adoption of mobile payment applications during the COVID-19 pandemic. International Journal of Bank Marketing, 39(6), 984–1002. https://doi.org/10.1108/IJBM-10-2020-0532Test; Rahi, S., Khan, M. M., & Alghizzawi, M. (2021). Extension of technology continuance theory (TCT) with task technology fit (TTF) in the context of Internet banking user continuance intention. International Journal of Quality & Reliability Management, 38(4), 986–1004. https://doi.org/10.1108/IJQRM-03-2020-0074Test; Raman, P., & Aashish, K. (2021). To continue or not to continue: A structural analysis of antecedents of mobile payment systems in India. International Journal of Bank Marketing, 39(2), 242–271. https://doi.org/10.1108/ijbm-04-2020-0167Test; Ramos, F. L., Ferreira, J. B., Freitas, A. S. de, & Rodrigues, J. W. (2018). The Effect of Trust in the Intention to Use m-banking. BBR. Brazilian Business Review, 15(2), 175–191. https://doi.org/10.15728/bbr.2018.15.2.5Test; Roca, J. C., Chiu, C.-M., & Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of Human - Computer Studies, 64(8), 683–696. https://doi.org/10.1016/j.ijhcs.2006.01.003Test; Rogers, E. M. (2003). Diffusion of Innovations (1962) (5o ed). Free Press (e-book).; Ryu, H.-S. (2018). What makes users willing or hesitant to use Fintech?: The moderating effect of user type. Industrial Management & Data Systems, 118(3), 541–569. https://doi.org/10.1108/IMDS-07-2017-0325Test; Santos, A. C. dos, Friedrich, M. P. A., & Hein, N. (2020). Determinantes da utilização de canais de serviços mobile banking para transações financeiras. Revista Gestão & Tecnologia, 20(1), 7–27. https://doi.org/10.20397/2177-6652/2020.v20i1.1691Test; Shao, Z., Zhang, L., Li, X., & Guo, Y. (2019). Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender. Electronic Commerce Research and Applications, 33, e100283. https://doi.org/10.1016/j.elerap.2018.100823Test; Shin, S., & Lee, W. (2014). The Effects Of Technology Readiness And Technology Acceptance On Nfc Mobile Payment Services In Korea. Journal of Applied Business Research (JABR), 30(6), 1615–1626.; Silva, G. D. R., Jorge, R. R., Andrade, A. A., Junger, A. P., & Facó, J. F. B. (2018). Diffusion of Innovation in Banking Services: The impact of startups of services. Revista de Casos e Consultoria, 9(4), e941.; Sutto, G. (2021). 61,4% dos brasileiros usam Pix, que já soma 7 bilhões de transações; versão internacional está nos planos. InfoMoney. https://www.infomoney.com.br/minhas-financas/614-dos-brasileiros-usamTest-pix-que-ja-soma-7-bilhoes-de-transacoes-versao-internacional-esta-nos-planos/; Walczuch, R., Lemmink, J., & Streukens, S. (2007). The effect of service employees’ technology readiness on technology acceptance. Information & Management, 44(2), 206–215.; Wei, M. F., Luh, Y. H., Huang, Y. H., & Chang, Y. C. (2021). Young Generation’s Mobile Payment Adoption Behavior: Analysis Based on an Extended UTAUT Model. Journal of Theoretical & Applied Electronic Commerce Research, 16(4), 618–637. https://doi.org/10.3390/jtaer16040037Test; Yan, M., Filieri, R., & Gorton, M. (2021). Continuance intention of online technologies: A systematic literature review. International Journal of Information Management, 58. https://doi.org/10.1016/j.ijinfomgt.2021.102315Test; Zhao, Y., Ni, Q., & Zhou, R. (2018). What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age. International Journal of Information Management, 43, 342–350. https://doi.org/10.1016/j.ijinfomgt.2017.08.006Test; Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091.; Zhou, T. (2014). Understanding the determinants of mobile payment continuance usage. Industrial Management & Data Systems, 114(6), 936–948.; https://periodicos.ufpe.br/revistas/cbr/article/view/255198Test

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