Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust

International Journal of Information Management

Volumn 37, Issue 3, 2017, Pages 99-110

  Alalwan, Ali Abdallah ^a   Dwivedi, Yogesh K ^b   Rana, Nripendra P ^b  

^a AL BALQA APPLIED UNIVERSITY   (Jordan)

^b SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

Adoption; Customers; Jordan; Mobile banking; UTAUT2

Indexed keywords

SURVEYS;

ADOPTION; CUSTOMERS; JORDAN; MOBILE BANKINGS; UTAUT2;

SALES;

EID: 85009872868     PISSN: 02684012     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijinfomgt.2017.01.002     Document Type: Article

References (85)

1. Ajzen, I., The theory of planned behaviour. Organizational Behaviour and Human Decision Processes 50:2 (1991), 179–211.
2. Alalwan, A., Dwivedi, Y.K., Williams, M.D., Examining factors affecting customer intention and adoption of Internet banking in Jordan. Proceedings of United Kingdom academy of information systems UKAIS conference, 7th–9th April 2014, Oxford, UK, 2014.
3. Alalwan, A.A., Rana, N.P., Dwivedi, Y.K., Lal, B., Williams, M.D., Adoption of mobile banking in Jordan: Exploring demographic differences on customers’ perceptions. Open and big data management and innovation, 2015, Springer International Publishing, 13–23.
4. Alalwan, A.A., Dwivedi, Y.K., Rana, N.P., Lal, B., Williams, M.D., Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust. Journal of Financial Services Marketing 20:2 (2015), 145–157.
5. Alalwan, A.A., Dwivedi, Y., Rana, N.P., Williams, M.D., Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29(1), 2016.
6. Alalwan, A.A., Dwivedi, Y.K., Williams, M.D., Customers’ intention and adoption of telebanking in Jordan. Information Systems Management 33:2 (2016), 154–178.
7. Alalwan, A.A., Dwivedi, Y.K., Rana, N.P., Simintiras, A.C., Jordanian consumers’ adoption of telebanking: Influence of perceived usefulness, trust and self-efficacy. International Journal of Bank Marketing, 34(5), 2016.
8. Anderson, J.C., Gerbing, D.W., Structural equation modelling in practice: A review and recommended two-step approach. Psychological Bulletin 103:3 (1988), 411–423.
9. Awwad, M.S., Ghadi, M.Y., Investigating of factors influencing the intention to adopt mobile banking services in Jordan. Dirasat: Administrative Sciences 37:2 (2010), 545–556.
10. Bagozzi, R.P., Yi, Y., On the evaluation of structural equation models. Journal of the Academy of Marketing Science 16:1 (1988), 74–94.
11. Brislin, R., Comparative research methodology: Cross-cultural studies. International Journal of Psychology 11:3 (1976), 215–229.
12. Brown, S.A., Venkatesh, V., Model of adoption of technology in the household: A baseline model test and extension incorporating household life cycle. MIS Quarterly 29:4 (2005), 399–426.
13. Brown, I., Cajee, Z., Davies, D., Stroebel, S., Cell phone banking: Predictors of adoption in South Africa—An exploratory study. International Journal of Information Management 23 (2003), 381–394.
14. BuddeComm, Jordan – Telecoms, mobile broadband and forecasts. 2014 Available from http://www.budde.com.au/Research/Jordan-Telecoms-Mobile-Broadband-and-Forecasts.html?r=51. Accessed: 08 February 2015.
15. Byrne, B., Structural equation modeling with AMOS: Basic concepts, applications and programming. 6th ed., 2010, Taylor & Francis Group, New York, USA.
16. Chen, H., Papazafeiropoulou, A., Chen, T.K., Duan, Y., Liu, H.W., Exploring the commercial value of social networks: Enhancing consumers’ brand experience through Facebook pages. Journal of Enterprise Information Management 27:5 (2014), 576–598.
17. Chiu, Y., Fang, S., Tseng, C., Early versus potential adopters: Exploring the antecedents of use intention in the context of retail service innovations. International Journal of Retail and Distribution Management 38:6 (2010), 443–459.
18. Compete Pulse, Mobile banking today: Highlights from #MCS2013. 2013 Available from: https://blog.compete.com/2013/06/12/mobile-banking-today-highlights-from-mcs2013/. Accessed: 15 February 2015.
19. Constantiou, I.D., Papazafeiropoulou, A., Vendelo, M.T., Does culture affect the adoption of advanced mobile services? A comparative study of young adults’ perceptions in Denmark and the UK. ACM SIGMIS Database 40:4 (2009), 132–147.
20. Cruz, P., Neto, L.B.F., Munoz-Gallego, P., Laukkanen, T., Mobile banking rollout in emerging markets: Evidence from Brazil. International Journal of Bank Marketing 28:5 (2010), 342–371.
21. Davis, F.D., Bagozzi, R.P., Warshaw, P.R., User acceptance of computer technology: A comparison of two theoretical models. Management Science 35:8 (1989), 982–1003.
22. Dodds, W.B., Monroe, K.B., Grewal, D., Effects of price, brand, and store information on buyers. Journal of Marketing Research 28:3 (1991), 307–319.
23. Dwivedi, Y.K., Irani, Z., Understanding the adopters and non-adopters of broadband. Communications of the ACM 52:1 (2009), 122–125.
24. Dwivedi, Y.K., Lal, B., Socio-economic determinants of broadband adoption. Industrial Management & Data Systems 107:5 (2007), 654–671.
25. Dwivedi, Y.K., Kapoor, K.K., Williams, M.D., Williams, J., RFID systems in libraries: An empirical examination of factors affecting system use and user satisfaction. International Journal of Information Management 33:2 (2013), 367–377.
26. Eriksson, K., Kerem, K., Nilsson, D., Customer acceptance of Internet banking in Estonia. International Journal of Bank Marketing 23:2 (2005), 200–216.
27. Gefen, D., E-commerce: The role of familiarity and trust. Omega 28:6 (2000), 725–737.
28. Gefen, D., Karahanna, E., Straub, D.W., Trust and TAM in online shopping: An integrated model. MIS Quarterly 27:1 (2003), 51–90.
29. Gerrard, P., Cunningham, J.B., Diffusion of Internet banking among Singapore consumers. International of Bank Marketing 21:1 (2003), 16–29.
30. Gerrard, P., Cunningham, J.B., Devlin, J.F., Why consumers are not using Internet banking: A qualitative study. Journal of Services Marketing 20:3 (2006), 160–168.
31. Gu, J.C., Lee, S.C., Suh, Y.H., Determinants of behavioral intention to mobile banking. Expert Systems with Applications 36:9 (2009), 11605–11616.
32. Hair, J.F. Jr., Anderson, R.E., Tatham, R.L., Black, W.C., Multivariate data analysis with readings. 1995, Prentice-Hall, Englewood Cliffs, NJ.
33. Hair, J.F. Jr., Black, W., Babin, B., Anderson, R.E., Tatham, R., Multivariate data analysis. 6th ed., 2006, Prentice Hall, New Jersey.
34. Hair, J.F. Jr., Black, W.C., Babin, B.J., Anderson, R.E., Multivariate data analysis: A global perspective. 7th ed., 2010, Pearson Education International.
35. Hanafizadeh, P., Behboudi, M., Koshksaray, A.A., Tabar, M.J.S., Mobile-banking adoption by Iranian bank clients. Telematics and Informatics 31:1 (2014), 62–78.
36. Harman, H.H., Modern factor analysis. 3rd Ed., 1976, University of Chicago Press, Chicago, IL.
37. Ho, S., Ko, Y., Effect of self-service technology on customer value and customer readiness: The case study of Internet banking. Internet Research 18:4 (2008), 427–446.
38. Holmes-Smith, P., Coote, L., Cunningham, E., Structural equation modelling: From the fundamentals to advanced topics. 2006, School Research, Evaluation and Measurement Services, Melbourne.
39. Hossain, M.A., Dwivedi, Y.K., What improves citizens’ privacy perceptions toward RFID technology? A cross-country investigation using mixed method approach. International Journal of Information Management 34:6 (2014), 711–719.
40. Jaruwachirathanakul, B., Fink, D., Internet banking adoption strategies for a developing country: The case of Thailand. Internet Research 15:3 (2005), 295–311.
41. Jeong, B.K., Yoon, T.E., An empirical investigation on consumer acceptance of mobile banking services. Business & Management Research 2:1 (2013), 31–40.
42. KPMG International, Consumers taking charge, consumers and convergence III −survey report., 2009 Available at: www.kpmg.com//en/IssuesAndInsights/ArticlesPublications/Documents/Consumers-and-Convergence-III.pdf. Accessed: 10 April 2012.
43. Khraim, H.S., Shoubaki, Y.E., Khraim, A.S., Factors affecting Jordanian consumers’ adoption of mobile banking services. International Journal of Business and Social Science 2:20 (2011), 96–105.
44. Kim, G., Shin, B., Lee, H.G., Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal 19:3 (2009), 283–311.
45. Kline, R.B., Principles and practice of structural equation modelling. 2005, The Guilford Press, New York.
46. Kline, R.B., Principles and practice of structural equation modelling. 2011, The Guilford Press, New York.
47. Laukkanen, T., Customer preferred channel attributes in multi-channel electronic banking. International Journal of Retail & Distribution Management 35:5 (2007), 393–412.
48. Laukkanen, T., Internet vs Mobile banking: comparing customer value perceptions. Business Process Management Journal 13:6 (2007), 788–797.
49. Laukkanen, T., Cruz, P., Comparing consumer resistance to Mobile banking in Finland and Portugal. E-Business and Telecommunications 48 (2009), 89–98.
50. Laukkanen, T., Sinkkonen, S., Kivijärvi, M., Laukkanen, P., Innovation resistance among mature consumers. The Journal of Consumer Marketing 24:7 (2007), 419–427.
51. Laukkanen, T., Sinkkonen, S., Laukkanen, P., Communication strategies to overcome functional and psychological resistance to Internet banking. International Journal of Information Management 29:2 (2009), 111–118.
52. Lee, M., McGoldrick, P.J., Keeling, K.A., Doherty, J., Using ZMET to explore barriers to the adoption of 3G mobile banking services. International Journal of Retail and Distribution Management 31:6 (2003), 340–348.
53. Lee, E., Kwon, K., Schumann, D., Segmenting the non-adopter category in the diffusion of Internet banking. International Journal of Bank Marketing 23:5 (2005), 414–437.
54. Lee, K.S., Lee, H.S., Kim, S.Y., Factors influencing the adoption behavior of mobile banking: a South Korean perspective. Journal of Internet Banking and Commerce 12:2 (2007), 1–9.
55. Lee, H., Harindranath, G., Oh, S., Kim, D.J., Provision of mobile banking services from an actor-network perspective: Implications for convergence and standardization. Technological Forecasting and Social Change 90 (2015), 551–561, 10.1016/j.techfore.2014.02.007.
56. Lin, H.F., An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International Journal of Information Management 31:3 (2011), 252–260.
57. Lin, H.F., Determining the relative importance of mobile banking quality factors. Computer Standards & Interfaces 35:2 (2013), 195–204.
58. Luarn, P., Lin, H.H., Toward an understanding of the behavioral intention to use Mobile banking. Computers in Human Behavior 21:6 (2005), 873–891.
59. Luo, X., Li, H., Zhang, J., Shim, J.P., Examining multi-dimensional trust and multifaceted risk in initial acceptance of emerging technologies: An empirical study of Mobile banking services. Decision Support Systems 49:2 (2010), 222–234.
60. Martins, G., Oliveira, T., Popovic, A., Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management 34:1 (2014), 1–13.
61. Migdadi, Y.K.A., The developing economies’ banks branches operational strategy in the era of e-banking: The case of Jordan. Journal of Emerging Technologies in Web Intelligence 4:2 (2012), 189–197.
62. Nunnally, J.C., Psychometric theory. 1978, McGraw-Hill, New York, NY.
63. Podsakoff, P.M., MacKenzie, S.B., Lee, J.Y., Podsakoff, N.P., Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology 88:5 (2003), 879–903.
64. Püschel, J., Mazzon, J.A., Hernandez, J.M.C., Mobile banking: Proposition of an integrated adoption intention framework. International Journal of Bank Marketing 28:5 (2010), 389–409.
65. Purwanegara, M., Apriningsih, A., Andika, F., Snapshot on Indonesia regulations in Mobile Internet banking users’ attitudes. Procedia-Social and Behavioral Sciences 115 (2014), 147–155.
66. Riffai, M.M.M.A., Grant, K., Edgar, D., Big TAM in Oman: Exploring the promise of on-line banking, its adoption by customers and the challenges of banking in Oman. International Journal of Information Management 32:3 (2012), 239–250.
67. Riquelme, H.E., Rios, R.E., The moderating effect of gender in the adoption of Mobile banking. International Journal of Bank Marketing 28:5 (2010), 328–341.
68. Rogers, E.M., Diffusion of innovations. 5th ed., 2003, Free Press, New York, NY.
69. Sathye, M., Adoption of Internet banking by Australian consumers: An empirical investigation. International Journal of Bank Marketing 17:7 (1999), 324–334.
70. Simintiras, A.C., Dwivedi, Y.K., Rana, N.P., Can marketing strategies enhance the adoption of electronic government initiatives?. International Journal of Electronic Government Research (IJEGR) 10:2 (2014), 1–7.
71. Straub, D., Boudreau, M.C., Gefen, D., Validation guidelines for IS positivist research. The Communications of the Association for Information Systems, 13(1), 2004, 63.
72. The Gulf Today, Jordan's internet users stand at 3.535 million: August 19, 2012. 2012 Available from: http://gulftoday.ae/portal/cf77a112-4874-4abe-bba8-4265dc1aa8c9.aspx. Accessed: 08 January 2014.
73. The Jordan Times, Mobile phone penetration projected to reach 200%. 2013 Available from: http://jordantimes.com/mobile-phone-penetration-projected-to-reach-200, Accessed: 25 December 2013.
74. van der Heijden, H., User acceptance of hedonic information systems. MIS Quarterly 28:4 (2004), 695–704.
75. Venkatesh, V., Creation of favorable user perceptions: exploring the role of intrinsic motivation. MIS Quarterly 23:3 (1999), 239–260.
76. Venkatesh, V., Morris, M., Davis, G., Davis, F., User acceptance of information technology: Toward a unified view. MIS Quarterly 27:3 (2003), 425–478.
77. Venkatesh, V., Thong, J.Y.L., Xu, X., Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly 36:1 (2012), 157–178.
78. Weerakkody, V., El-Haddadeh, R., Al-Sobhi, F., Shareef, M.A., Dwivedi, Y.K., Examining the influence of intermediaries in facilitating e-government adoption: An empirical investigation. International Journal of Information Management 33:5 (2013), 716–725.
79. Wessels, L., Drennan, J., An investigation of consumer acceptance of M-banking. International Journal of Bank Marketing 28:7 (2010), 547–568.
80. West, S.G., Finch, J.F., Curran, P.J., Structural equation models with non-normal variables: problems and remedies. Hoyle, R.H., (eds.) Structural equation modelling: Concepts, issues, and applications, 1995, Thousand Oaks, CA: Sage Publications Ltd, 56–75.
81. Yang, A.S., Exploring adoption difficulties in mobile banking services. Canadian Journal of Administrative Sciences 26:2 (2009), 136–149.
82. Yu, C.S., Factors affecting individuals to adopt Mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research 13:2 (2012), 104–121.
83. Zhou, T., Lu, Y., Wang, B., Integrating TTF and UTAUT to explain Mobile banking user adoption. Computers in Human Behavior 26:4 (2010), 760–767.
84. Zhou, T., An empirical examination of initial trust in Mobile banking. Internet Research 21:5 (2011), 527–540.
85. Zhou, T., Understanding users’ initial trust in Mobile banking: An elaboration likelihood perspective. Computers in Human Behavior 28:4 (2012), 1518–1525.