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This will provide new insights into the determinants of technology acceptance by considering cultural effects on individual customers. The authors analyzed the model through structural equation modeling. The results validated performance expectancy, facilitating conditions, habit, perceived security, and price value as important antecedents of behavioral intentions. The cultural dimensions, collectivism, and uncertainty avoidance were found to be significant moderators in explaining behavioral intention and usage behavior for online banking.<\/p>","DOI":"10.4018\/jgim.2017010103","type":"journal-article","created":{"date-parts":[[2016,11,8]],"date-time":"2016-11-08T14:30:22Z","timestamp":1478615422000},"page":"43-65","source":"Crossref","is-referenced-by-count":127,"title":["Understanding Online Banking Adoption in a Developing Country"],"prefix":"10.4018","volume":"25","author":[{"given":"Ikram Ullah","family":"Khan","sequence":"first","affiliation":[{"name":"School of Management, University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zahid","family":"Hameed","sequence":"additional","affiliation":[{"name":"School of Management, University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Safeer Ullah","family":"Khan","sequence":"additional","affiliation":[{"name":"Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"JGIM.2017010103-0","doi-asserted-by":"publisher","DOI":"10.1108\/JEIM-12-2014-0124"},{"key":"JGIM.2017010103-1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tele.2015.09.005"},{"key":"JGIM.2017010103-2","unstructured":"Ain, N., Kaur, K., & Waheed, M. 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