<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0"><head><doi_batch_id>bfc4ff25-099a-47b4-b2a5-0e4732638bb4</doi_batch_id><timestamp>20210415070243526</timestamp><depositor><depositor_name>wsea:wsea</depositor_name><email_address>mdt@crossref.org</email_address></depositor><registrant>MDT Deposit</registrant></head><body><journal><journal_metadata language="en"><full_title>WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT</full_title><issn media_type="electronic">2224-3496</issn><issn media_type="print">1790-5079</issn><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/232015</doi><resource>http://wseas.org/wseas/cms.action?id=4031</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>1</month><day>8</day><year>2021</year></publication_date><publication_date media_type="print"><month>1</month><day>8</day><year>2021</year></publication_date><journal_volume><volume>17</volume><doi_data><doi>10.37394/232015.2021.17</doi><resource>https://wseas.org/cms.action?id=23258</resource></doi_data></journal_volume></journal_issue><journal_article language="en"><titles><title>Toward A Model For The Acceptance Of Internet Banking In An Emerging Market</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>Toan Le</given_name><surname>Duc</surname><affiliation>Socio – Eco Research Institute, Graduate School, Duy Tan University 03 Quang Trung Street, Danang City, 550000, Vietnam</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Phu Nguyen</given_name><surname>Huu</surname><affiliation>Board of Provost, Graduate School, Duy Tan University 03 Quang Trung Street, Danang City, 550000, Vietnam</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Loan Pham</given_name><surname>Thi Be</surname><affiliation>University of Economics-the University of Danang, Vietnam.  71 Ngu Hanh Son Street, Danang City, 550000, Vietnam.</affiliation></person_name><person_name sequence="additional" contributor_role="author"><given_name>Hung Phan</given_name><surname>Tran Minh</surname><affiliation>University of Economics-the University of Danang, Vietnam.  71 Ngu Hanh Son Street, Danang City, 550000, Vietnam.</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>Vietnam has the concrete socio – eco characteristics as low General Domestic Product (GDP) per capita, not high people’s education level, undeveloped information infrastructure and long – standing consumers’ habit of cash, etc…However, given its enormous market opportunities and intensified competition, Vietnam is mentioned as a fast – growing emerging market offering great chances to advance practices in accepting developed services. The study’s aim is to find factors affecting to customer’s intention in using internet banking of Vietnamese, which results propose recommendations to managers of motivating customer intension as well as improving internet banking services. The study integrates the technology acceptance model and theory of planned behavior with an additional construct called customer service to be suitable with conditions of Vietnam. The findings support that the intention to adopt internet banking in Vietnam emerging economy are predicted by 6 factors, namely perceived ease to use, perceived usefulness, customer service, customer satisfaction, subjective norm and perceived behavior control, wherein subjective norm, perceived behavior control and customer satisfaction were the strong – influencing indicators of adopting internet banking. The study’s results show that the proposed model has a good explanatory power and confirms its robustness in predicting customers' intentions to adopt Internet banking. The study broadens and deepens understandings of factors contributing to the development of internet banking, especially for an emerging country such as Vietnam.</jats:p></jats:abstract><publication_date media_type="online"><month>4</month><day>15</day><year>2021</year></publication_date><publication_date media_type="print"><month>4</month><day>15</day><year>2021</year></publication_date><pages><first_page>332</first_page><last_page>341</last_page></pages><ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators"><ai:free_to_read start_date="2021-04-15"/><ai:license_ref applies_to="am" start_date="2021-04-15">https://www.wseas.org/multimedia/journals/environment/2021/a665107-1314.pdf</ai:license_ref></ai:program><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/232015.2021.17.33</doi><resource>https://www.wseas.org/multimedia/journals/environment/2021/a665107-1314.pdf</resource></doi_data><citation_list><citation key="ref0"><unstructured_citation>Ajzen.I., and M. Fishbein. (1980). Understanding Attitudes and Predicting Social Behavior: Englewood Cliffs, NJ: Prentice Hill. </unstructured_citation></citation><citation key="ref1"><doi>10.1016/0749-5978(91)90020-t</doi><unstructured_citation>Ajzen, I., (1991). The theory of planned behavior, Organization Behavior and Human Decision Process, Vol. 50 No. 2, pp. 179-211. </unstructured_citation></citation><citation key="ref2"><unstructured_citation>Alsamydai M.J. (2014). Adaptation of the TAM to the use of mobile banking services. International Review of Management and Business Research, Vol. 3 No 4, pp. 2016-2028. </unstructured_citation></citation><citation key="ref3"><doi>10.1108/02652320410530322</doi><unstructured_citation>Akinci, S., Aksoy, S. and Atilgan, E. (2004). Adoption of internet banking among sophisticated consumer segments in an advanced developing country, International Journal of Bank Marketing, Vol. 22 No. 3, pp. 212-232. </unstructured_citation></citation><citation key="ref4"><doi>10.46300/9106.2020.14.107</doi><unstructured_citation>Bao, G., Zeng, F., and Wang, M., (2020). Study on human resource allocation efficiency based on DEA analysis, International Journal of Circuits, Systems and Signal Processing, Vol. 14, pp. 826-832 </unstructured_citation></citation><citation key="ref5"><unstructured_citation>Blut M. (2016). E-Service Quality: Development of a Hierarchical Model. Journal of Retailing, Vol. 92 No 4, pp. 500-517. </unstructured_citation></citation><citation key="ref6"><unstructured_citation>Bryman A.B. (2007). Business Research Methods, Oxford: Oxford University Press. </unstructured_citation></citation><citation key="ref7"><unstructured_citation>Celik, H. (2008). What determines Turkish customers’ acceptance of internet banking?, International Journal of Bank Marketing, Vol. 26 No. 5, pp. 353-370. </unstructured_citation></citation><citation key="ref8"><unstructured_citation>Cheng, T.C., Lam, D.Y. and Yeung, A.C. (2006). Adoption of internet banking: an empirical study in Hong Kong, Decision Support Systems, Vol. 42 No. 3, pp. 1558-1572. </unstructured_citation></citation><citation key="ref9"><unstructured_citation>Cohen J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.), Hillside Mahwah, NJ: Lawrence Erlbaum. </unstructured_citation></citation><citation key="ref10"><unstructured_citation>Davis F.D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results, Cambridge, MA: Massachusetts Institute of Technology. </unstructured_citation></citation><citation key="ref11"><doi>10.2307/249008</doi><unstructured_citation>Davis F.D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, Vol. 13 No 3, pp. 319-340. </unstructured_citation></citation><citation key="ref12"><unstructured_citation>Davison A.C. (1997). Hinkey D.V, Bootstrap methods and their application, Cambridge, UK: Cambridge University Press. </unstructured_citation></citation><citation key="ref13"><unstructured_citation>Diamantopoulos A., Siguaw J.A. (2006). Formative versus reflective indicators in measure development: Does the choice of indicators matter? British Journal of Management, Vol. 17 No 4, pp. 263-282. </unstructured_citation></citation><citation key="ref14"><unstructured_citation>Foley P., Jayawardhena C. (2000). Changes in the banking sector-the case of Internet banking in the UK. Internet Research, Vol. 10 No 1, pp. 19- 30. </unstructured_citation></citation><citation key="ref15"><unstructured_citation>Hair J.F., Hult G.T., Ringle C.M., Sarstedt M. (2017). A primer on partial least squares structural equation modeling (2nd ed.), Thousand Oaks, CA: SAGE Publications. </unstructured_citation></citation><citation key="ref16"><unstructured_citation>Hair J.F., Hult G.T.M., Ringle C., Sarstedt M. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Thousand Oaks, CA: SAGE Publications. </unstructured_citation></citation><citation key="ref17"><doi>10.1108/ebr-10-2013-0128</doi><unstructured_citation>Hair J.F., Sarstedt M., Hopkins L., Kuppelwieser G.V. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, Vol. 26 No 2, pp. 106-121. </unstructured_citation></citation><citation key="ref18"><doi>10.1108/s1474-7979(2009)0000020014</doi><unstructured_citation>Henseler J., Ringle C.M., Sinkovics R.R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, Vol. 20, pp. 277-320. </unstructured_citation></citation><citation key="ref19"><doi>10.1002/itdj.20025</doi><unstructured_citation>Kannabiran, G. and Narayan, P.C. (2005), Deploying internet banking and e-commerce: case study of a private-sector bank in India, Information Technology for Development. 2005,Vol. 11 No. 4, pp. 363-379. </unstructured_citation></citation><citation key="ref20"><doi>10.1016/j.elerap.2008.11.006</doi><unstructured_citation>Lee, M.C. (2009). Factors influencing the adoption of internet banking: an integration of TAM and TPB with perceived risk and perceived benefit, Electronic Commerce Research and Applications, Vol. 8 No. 3, pp. 130-141. </unstructured_citation></citation><citation key="ref21"><doi>10.1108/08876040010327220</doi><unstructured_citation>Lee, H., Lee, Y. and Yoo, D. (2000). The determinants of perceived service quality and its relationship with satisfaction. International Journal of Bank Marketing, Vol. 14 No. 3, pp. 217 – 231. </unstructured_citation></citation><citation key="ref22"><unstructured_citation>Lule I., Omwansa T.K., Waema T.M. (2012). Application of Technology Acceptance Model (TAM) in M-Banking Adoption in Kenya. International Journal of Computing and ICT Research, Vol. 6 No 1, pp. 31-43. </unstructured_citation></citation><citation key="ref23"><doi>10.1016/j.ijinfomgt.2013.06.002</doi><unstructured_citation>Martins C., Oliveira T., Popovie A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, Vol. 34 No 1, pp. 1-13. </unstructured_citation></citation><citation key="ref24"><doi>10.46300/9106.2020.14.117</doi><unstructured_citation>Meshref, H., (2020). Predicting loan approval of bank direct marketing data using ensemble machine learning algorithms, International Journal of Circuits, Systems and Signal Processing, Vol. 14, pp. 914-922. </unstructured_citation></citation><citation key="ref25"><doi>10.1016/j.hitech.2012.03.001</doi><unstructured_citation>Nasri, W. and Charfeddine, L. (2012). Factors affecting the adoption of internet banking in Tunisia: an integration theory of acceptance model and theory of planned behavior, The Journal ofHish Technology Management Research, Vol. 23 No. 1, pp. 1-14. </unstructured_citation></citation><citation key="ref26"><doi>10.1108/10662240410542652</doi><unstructured_citation>Pikkarainen K., Karjaluoto H., Pahnila S. (2004). Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Research, Vol. 14 No 3, pp. 224-235. </unstructured_citation></citation><citation key="ref27"><unstructured_citation>Quyen D.V. (2018). E-commerce: Much room left for growth. The Saigon Times, No 13 (1381), March 24. </unstructured_citation></citation><citation key="ref28"><doi>10.4018/jea.2009010101</doi><unstructured_citation>Rouibah, K., Thurasamy, R. and May, O.S. (2009). User acceptance of internet banking in Malaysia: test of three competing models, International Journal of E-Adoption, Vol. 1 No. 1, pp. 1-19. </unstructured_citation></citation><citation key="ref29"><doi>10.1007/978-3-319-05542-8_15-1</doi><unstructured_citation>Sarstedt M., Ringle C.M., Hair J.F. (2017). Partial Least Squares Structural Equation Modeling. Handbook of Market Research (eds. C. Homburg, M. Klarmann, A. Vomberg), Heidelberg; New York; Dordrecht; London: Springer (print version forthcoming), DOI: 10.1007/978-3-319-05542-8_15-1. Available at: http://www.researchgate.net/publication/319669 432, accessed 02.05.2018. </unstructured_citation></citation><citation key="ref30"><unstructured_citation>Sheshunoff A. (2000). Internet banking: An update from the frontlines. ABA Banking Journal, Vol. 92 No 1, pp. 51-53. </unstructured_citation></citation><citation key="ref31"><doi>10.1016/s1567-4223(02)00017-0</doi><unstructured_citation>Suh, B. and Han I. (2003). Effect of trust on customer acceptance of internet banking, Electronic Commerce Research and Applications, Vol. 1 No. 3, pp. 247-263. </unstructured_citation></citation><citation key="ref32"><doi>10.1002/itdj.20026</doi><unstructured_citation>Sukkar, A.A. and Hasan, H. (2005), Toward a model for the acceptance of internet banking in developing countries, Information Technology for Development. Vol. 11 No. 4, pp. 381-398. </unstructured_citation></citation><citation key="ref33"><doi>10.17323/2500-2597.2018.2.36.48</doi><unstructured_citation>Toan, D. L., Phu, H. N., Nhan, V. H., Yen, T. P. H., Tam, Q. N., Anh, N.N. L. (2018). Technology Acceptance and Future of Internet Banking in Vietnam. Foresight and STI Governance, Vol. 12 No. 2, pp. 36 - 49. </unstructured_citation></citation><citation key="ref34"><doi>10.1287/mnsc.46.2.186.11926</doi><unstructured_citation>Venkatesh V., Davis F.D. (2000). Theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, Vol. 46 No 2, pp. 186-204. </unstructured_citation></citation><citation key="ref35"><doi>10.1108/ijbm-06-2014-0075</doi><unstructured_citation>Yadav, R., Chauhan,V. and Pathak, G. (2015), Inention to adopt internet banking in an emerging economy: a perspective of Indian youth. International Journal of Bank Marketing, Vol. 33 No 4, pp. 530 – 544. </unstructured_citation></citation><citation key="ref36"><doi>10.1111/j.1559-1816.2010.00615.x</doi><unstructured_citation>Yousafzai, S.Y., Foxall, G.R. and Pallister, J.G. (2010). Explaining internet banking behavior: theory of reasoned action, theory of planned behavior, or technology acceptance model?, Journal of Applied Social Psychology, Vol. 40 No. 5, pp. 1172-1202.</unstructured_citation></citation></citation_list></journal_article></journal></body></doi_batch>