EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 124 (2021) SHS Web Conf., 124 (2021) 09002 References
Open Access
Issue
SHS Web Conf.
Volume 124, 2021
International Conference on Management, Social Sciences & Humanities (ICMeSH 2020)
Article Number 09002
Number of page(s) 8
Section Innovative Marketing and Consumerism & Business and Economy for Sustainable Future
DOI https://doi.org/10.1051/shsconf/202112409002
Published online 15 November 2021
  1. Ahmad, A., & Al-Zu’bi, H. (2011). E-banking functionality and outcomes of customer satisfaction: an empirical investigation. International Journal of Marketing Studies, 3 (1), 50–65. [CrossRef] [Google Scholar]
  2. Al-Sabbagh, I., & Alemayehu, M. (2004). Adoption and Use of Internet Banking in the Sultanate of Oman: An Exploratory Study. Journal of Internet Banking and Commerce, 9 (2). [Google Scholar]
  3. Amin, M., Isa, Z., & Rodrigue Fontaine, F. (2011). The role of customer satisfaction in enhancing customer loyalty in Malaysian Islamic banks. The Service Industries Journal, 31(9), 1519–1532. [CrossRef] [Google Scholar]
  4. Anderson, E. W., Formelo, C., & Lehmann, D. R. (1994). Customer Satisfaction, Market Share, and Profitability: Findings from Sweden. Journal of Marketing, 58(3), 53–66. [CrossRef] [Google Scholar]
  5. Anderson, J. C., & Gerbing D. W. (1988). Structural Equation Modeling in Practice A Review and Recommended Two-Step Approach. Psychological Bulletin, 103, 411–423. [CrossRef] [Google Scholar]
  6. Anderson, R., & Swaminathan, S. (2011). Customer Satisfaction and Loyalty in E-Markets: A PLS Path Modeling Approach. Journal of Marketing Theory and Practice, 19(2), 221–234. [CrossRef] [Google Scholar]
  7. Anderson, R.E., & Srinivasan, S.S. (2003). E-Satisfaction and E-Loyalty A Contingency Framework. Psychology & Marketing, 20, 123–138. [CrossRef] [Google Scholar]
  8. Apostolos, G. (2016). Consumer-brand relationships’ development in the mobile internet market: Evidence from an extended relationship commitment paradigm. Journal of Product & Brand Management, 25 (6), 568–585. DOI: 10.1108/JPBM-05-2015-0884. [CrossRef] [Google Scholar]
  9. Arpaci, I. (2016). Understanding and predicting students’ intention to use mobile cloud storage services. Computers in Human Behavior, 58, 150–157. [CrossRef] [Google Scholar]
  10. Baumann, C., Elliott, G., Hamin, H. (2011). Modelling customer loyalty in financial services: A hybrid of formative and reflective constructs. International Journal of Bank Marketing, 29(3), 247–267. [CrossRef] [Google Scholar]
  11. Benbasat, I., Gefen, D., & Pavlou, P.A. (2010). Introduction to the Special Issue on Novel Perspectives on Trust in Information Systems. MIS Quarterly, 34(2), 367–371. [CrossRef] [Google Scholar]
  12. Cappelli, P. and Clancy, J. (1999). Is Loyalty Really Dead? Across the Board, 36, 14–19. [Google Scholar]
  13. Caruana, A. (2002). Service loyalty: The effects of service quality and the mediating role of customer satisfaction. European Journal of Marketing, 36(7/8), 811–828. [CrossRef] [Google Scholar]
  14. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. [CrossRef] [Google Scholar]
  15. Echchabi, A., Al-Hajri, S., Tanas, I. (2019). Analysis of EBanking acceptance in Oman: The case of Islamic Banks’ Customers. IJIEF: International Journal of Islamic Economics and Finance, 1(2), 145–116. [Google Scholar]
  16. Floh, A., & Treiblmaier, H. (2006). What Keeps The e-Banking Customer Loyal? A Multigroup Analysis of The Moderating Role of Consumer Characteristics on e-Loyalty in The Financial Service Industry. Journal of Electronic Commerce Research, 7(2): 97–110. [Google Scholar]
  17. Fornell, C. and Larcker, D.F. (1981) Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39–50 [CrossRef] [Google Scholar]
  18. Fraering, M., & Minor, M. (2013). Beyond loyalty: Customer satisfaction, loyalty, and fortitude. Journal of Services Marketing, 27 (4), 334–344. [CrossRef] [Google Scholar]
  19. Gao, L., & Waechter, K.A. (2017). Examining the role of initial trust in user adoption of mobile payment services: An empirical investigation. Information Systems Frontiers, 19 (3), 525–548 [CrossRef] [Google Scholar]
  20. Gera, R. (2011). Modelling e-service quality and its consequences in India: an SEM approach. Journal of Research in Interactive Marketing, 5(2/3), 203–225. [CrossRef] [Google Scholar]
  21. Gronroos C. (2001), A service quality model and its marketing implications, European Journal of Marketing, Vol. 18 No. 4: 36-44. [Google Scholar]
  22. Hawking, S. W. (1998). A brief history of time: From the big bang to black holes (10th ed.). New York: Bantam Doubleday Dell Publishing Group. [Google Scholar]
  23. Homburg Christian and Annette Giering (2001), —Personal Characteristics as Moderators of the Relationship Between Customer Satisfaction and Loyalty—An Empirical Analysis. Psychology & Marketing, 18(1), 43–66. [CrossRef] [Google Scholar]
  24. Jansson, E., & Letmark, M. (2005). Customer Loyalty in an Internet Banking Context. Institutionen För Ekonomi Och Företagande. [Google Scholar]
  25. Kandampully, J., Zhang, T. & Bilgihan, A. (2015). Customer Loyalty: A Review and Future Directions with a Special Focus on the hospitality industry. International Journal of Contemporary Hospitality Management, 27(3), 379–414. [CrossRef] [Google Scholar]
  26. Kassim, N. M., & Abdulla, A. K. M. A. (2006). The influence of attraction on internet banking: an extension to the trustrelationship commitment model. International Journal of Bank Marketing, 24(6), 424–442. [CrossRef] [Google Scholar]
  27. Kaur, H., & Soch, H. (2012), Validating Antecedents of Customer Loyalty for Indian Cell Phone Users. Vikalpa: The Journal for Decision Makers, 37(4), 47–62. [CrossRef] [Google Scholar]
  28. Kesharwani, A., & Singh Bisht, S. (2012). The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model. International Journal of Bank Marketing, 30(4), 303–322. [CrossRef] [Google Scholar]
  29. Khasawneh, Al. M.H., Hujran, O., & Abdrabbo, T. (2018). A quantitative examination of the factors that influence users’ perceptions of trust towards using mobile banking services. International Journal of Internet Marketing and Advertising, 12(2), 181–207. [CrossRef] [Google Scholar]
  30. Ladhari, R., Souiden, N., & Ladhari, I. (2011). Determinants of loyalty and recommendation: the role of perceived service quality emotional satisfaction and image. Journal of Financial Services Marketing, 16, 111–124. [CrossRef] [Google Scholar]
  31. Limbu, Y. B., Wolf, M., & Lunsford, D. I., (2011). Consumers’ perceptions of online ethics and its effects on satisfaction and loyalty. Journal of Research in Interactive Marketing, 5(1), 7189. [CrossRef] [Google Scholar]
  32. Matemba, E. D., & Li, G. (2018). Technology in Society Consumers ‘willingness to adopt and use WeChat wallet: An empirical study in South Africa. Technology in Society, 53, 5568. DOI: 10.1016/j.techsoc.2017.12.001 [CrossRef] [Google Scholar]
  33. Melnyk, V., & Bijmolt, T. (2015). The effects of introducing and terminating loyalty programs. European Journal of Marketing, 49 (3-4), 398–419. DOI: 10.1108/EJM-12-2012-0694 [CrossRef] [Google Scholar]
  34. Mukherjee, A., & Nath, P. (2003). A model of trust in online relationship banking. International journal of Bank Marketing, 21(1), 5–15. [CrossRef] [Google Scholar]
  35. Musaev, E., & Muhammed Yousoof, M. (2015). A Review on Internet Banking Security and Privacy Issues in Oman. ICIT 2015- The 7th International Conference on Information Technology, January 2015. [Google Scholar]
  36. Ofori, K.S., Boakye, K., & Narteh, B. (2018). Factors influencing consumer loyalty towards 3G mobile data service providers: Evidence from Ghana. Total Quality Management & Business Excellence, 29(5-6), 580–598. [CrossRef] [Google Scholar]
  37. Oliver, R.L., & Swan, J.E. (1989) Consumer Perceptions of Interpersonal Equity and Satisfaction in Transactions A Field Survey Approach. Journal of Marketing, 53, 21. [CrossRef] [Google Scholar]
  38. Ozturk, A.B., Nusair, K., Okumus, F., & Singh, D. (2017). Understanding mobile hotel booking loyalty: An integration of privacy calculus theory and trust-risk framework. Information Systems Frontiers, 19(4), 753–767. [CrossRef] [Google Scholar]
  39. Podsakoff P.M., MacKenzie S.B., Lee Y., & Podsakoff N.P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. J. Appl. Psychol. 88, 879–903. [CrossRef] [Google Scholar]
  40. Puriwat, W., & Tripopsakul, S. (2017). The impact of e-service quality on customer satisfaction and loyalty in mobile banking usage: Case study of Thailand. Polish Journal Management Studies, 15 (2), 183–193. DOI: 10.17512/pjms.2017.15.2.17. [Google Scholar]
  41. Reichheld, F.F. and Schefter, P. (2000). E-Loyalty Your Secret Weapon on the Web. Harvard Business Review, 78, 105–113. [Google Scholar]
  42. Ribbink, D., Riel, A.C.R., Liljander, V., & Streukens, S. (2004). Comfort your online customer: quality, trust, and loyalty on the internet. Managing Service Quality, 14(6), 446–456. [CrossRef] [Google Scholar]
  43. Rizomyliotis, I., Konstantoulaki, K., Kaminakis, K., Giovanis, A., & Papastathopoulos, A. (2018). Antecedents of Customer Loyalty in The Mobile Telecommunication Market A Cross-cultural Investigation. Academy of Marketing Studies Journal, 22 (4). [Google Scholar]
  44. Robert M. M. and Shelby D. H. (1994). The Commitment-Trust Theory of Relationship Marketing Journal of Marketing, 58(3), 20–38. [CrossRef] [Google Scholar]
  45. Sathye, M. (1999). Adoption of Internet Banking by Australian Consumers an Empirical Investigation. International Journal of Bank Marketing, 17, 324–334. [CrossRef] [Google Scholar]
  46. Sharma G. & Lijuan W. (2014). Ethical perspectives on ecommerce: an empirical investigation. Internet Research, 24, 414–435. [CrossRef] [Google Scholar]
  47. Silic, M., & Ruf, C. (2018). The effects of the elaboration likelihood model on initial trust formation in financial advisory services. International Journal of Bank Marketing, 36 (3), 572–590. DOI: 10.1108/IJBM-02-2017-0038. [CrossRef] [Google Scholar]
  48. Stewart, H., & Jürjens, J. (2018). Data security and consumer trust in FinTech innovation in Germany. Information and Computer Security, 26 (1), 109–128. [CrossRef] [Google Scholar]
  49. W. Wang, W., Ou, W., & Chen, W. (2019). The impact of inertia and user satisfaction on the continuance intentions to use mobile communication applications: A mobile service quality perspective. International Journal of Information Management, 44(2019), pp. 178–193. [CrossRef] [Google Scholar]
  50. X. Zheng, X., Men, J., Yang, F., & Gong, X. (2019). Understanding impulse buying in mobile commerce: An investigation into hedonic and utilitarian browsing. International Journal of Information Management, 48, 151–160. [CrossRef] [Google Scholar]
  51. Yuan, Y., Lai, F. & Chu, Z. (2019). Continuous usage intention of Internet banking: a commitment-trust model. Information System E-Business Management, 17, 1–25. DOI: 10.1007/s10257-018-0372-4 [CrossRef] [Google Scholar]
  52. Zhang, T., Lu, C., & Kizildag, M. (2018). Banking “on-the-go”: Examining consumers’ adoption of mobile banking services. International Journal of Quality and Service Sciences, 10 (3) (2018), pp. 279–295. [CrossRef] [Google Scholar]
  53. Zhou, T. (2011d). Examining the critical success factors of mobile website adoption. Online Information Review, 35(4), 636–652. [CrossRef] [Google Scholar]
  54. Zhou, T. (2012b). Understanding users’ initial trust in mobile banking: An elaboration likelihood perspective. Computers in Human Behavior, 28(4), 1518–1525. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.