Factors influencing intention to use mobile banking in Bank Simpanan Nasional using modified technology readiness acceptance model (TRAM)

The aspiration of this research is to study the factors that influence the intention to use mobile banking in Malaysian perspective by using integrated model TRAM. The theoretical framework of this research is the combination of technology readiness (TR) and technology acceptance model (TAM), where...

Full description

Saved in:
Bibliographic Details
Main Author: Nurdiana, Abdul Rani
Format: Thesis
Language:eng
eng
Published: 2016
Subjects:
Online Access:https://etd.uum.edu.my/5950/1/s816894_01.pdf
https://etd.uum.edu.my/5950/2/s816894_02.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uum-etd.5950
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Hussain Baluch, Nazim
topic HF5415.33 Consumer Behavior.
T Technology (General)
spellingShingle HF5415.33 Consumer Behavior.
T Technology (General)
Nurdiana, Abdul Rani
Factors influencing intention to use mobile banking in Bank Simpanan Nasional using modified technology readiness acceptance model (TRAM)
description The aspiration of this research is to study the factors that influence the intention to use mobile banking in Malaysian perspective by using integrated model TRAM. The theoretical framework of this research is the combination of technology readiness (TR) and technology acceptance model (TAM), where perceived usefulness completely mediates the impact of technology readiness towards the intention to use mobile banking. This research employed the full 16-item of technology readiness index (Parasuraman and Colby, 2014) to measure optimism, innovativeness, discomfort, and insecurity; whereas perceived usefulness and intention to use were adapted from Davis (1989) and Wang et al., (2006). Based on the research analysis, optimism and innovativeness have a positive effect on customer’s perceived usefulness of mobile banking. Whereas, discomfort and insecurity indicate a weak correlation towards perceived usefulness. On the contrary, perceived usefulness has a strong correlation in influencing the customer’s intention to use mobile banking. This research provides a useful understanding of customer’s perceived usefulness and their intention to use mobile banking.
format Thesis
qualification_name other
qualification_level Master's degree
author Nurdiana, Abdul Rani
author_facet Nurdiana, Abdul Rani
author_sort Nurdiana, Abdul Rani
title Factors influencing intention to use mobile banking in Bank Simpanan Nasional using modified technology readiness acceptance model (TRAM)
title_short Factors influencing intention to use mobile banking in Bank Simpanan Nasional using modified technology readiness acceptance model (TRAM)
title_full Factors influencing intention to use mobile banking in Bank Simpanan Nasional using modified technology readiness acceptance model (TRAM)
title_fullStr Factors influencing intention to use mobile banking in Bank Simpanan Nasional using modified technology readiness acceptance model (TRAM)
title_full_unstemmed Factors influencing intention to use mobile banking in Bank Simpanan Nasional using modified technology readiness acceptance model (TRAM)
title_sort factors influencing intention to use mobile banking in bank simpanan nasional using modified technology readiness acceptance model (tram)
granting_institution Universiti Utara Malaysia
granting_department School of Business Management
publishDate 2016
url https://etd.uum.edu.my/5950/1/s816894_01.pdf
https://etd.uum.edu.my/5950/2/s816894_02.pdf
_version_ 1747827998343561216
spelling my-uum-etd.59502021-04-19T04:27:09Z Factors influencing intention to use mobile banking in Bank Simpanan Nasional using modified technology readiness acceptance model (TRAM) 2016 Nurdiana, Abdul Rani Hussain Baluch, Nazim School of Business Management School of Business Management HF5415.33 Consumer Behavior. T Technology (General) The aspiration of this research is to study the factors that influence the intention to use mobile banking in Malaysian perspective by using integrated model TRAM. The theoretical framework of this research is the combination of technology readiness (TR) and technology acceptance model (TAM), where perceived usefulness completely mediates the impact of technology readiness towards the intention to use mobile banking. This research employed the full 16-item of technology readiness index (Parasuraman and Colby, 2014) to measure optimism, innovativeness, discomfort, and insecurity; whereas perceived usefulness and intention to use were adapted from Davis (1989) and Wang et al., (2006). Based on the research analysis, optimism and innovativeness have a positive effect on customer’s perceived usefulness of mobile banking. Whereas, discomfort and insecurity indicate a weak correlation towards perceived usefulness. On the contrary, perceived usefulness has a strong correlation in influencing the customer’s intention to use mobile banking. This research provides a useful understanding of customer’s perceived usefulness and their intention to use mobile banking. 2016 Thesis https://etd.uum.edu.my/5950/ https://etd.uum.edu.my/5950/1/s816894_01.pdf text eng public https://etd.uum.edu.my/5950/2/s816894_02.pdf text eng public other masters Universiti Utara Malaysia A.T. Kearney, Inc. (2013). Banking in a Digital World (pp. 1-23). Retrieved from https://www.atkearney.com/documents/10192/3054333/ Banking+in+a+Digital+World.pdf/91231b20-788e-41a1- a429-3f926834c2b0 Assessed (30.01.2016) Aboelmaged, M., & R. Gebba, T. (2013). Mobile Banking Adoption: An Examination Of Technology Acceptance Model And Theory Of Planned Behavior. International Journal Of Business Research And Development, 2(1), 35-50. Ajzen I. (1991), “The Theory Of Planned Behavior”. Organizational Behavior And Human Decision Processes, Vol.50(2), Pp. 179-211. Al-Jabri, I. & Sohail, M. (2016). Mobile Banking Adoption: Application of Diffusion of Innovation Theory. Journal Of Electronic Commerce Research, 13(4), 379-391. Amin, H. (2008). Factors Affecting The Intentions Of Customers In Malaysia To Use Mobile Phone Credit Cards. Management Research News, 31(7), 493-503. Amin, H., Baba, R., & Muhammad, M. (2007). An Analysis Of Mobile Banking Acceptance By Malaysian Customers. Sunway Academic Journal, 4, 1-12. Amin, H., Supinah, R., Mohd Aris, M., & Baba, R. (2012). Receptiveness Of Mobile Banking By Malaysian Local Customers In Sabah: An Empirical Investigation. Journal Of Internet Banking And Commerce, 17(1). Ashta, A. (2010), Evolution Of Mobile Banking Regulations, [Online] Available: Http://Www.Arraydev.Com/ Commerce /Jibc/ 0306-04. Html Assessed (15.12.2015). Bank Negara Malaysia, (2011). Financial Sector Blueprint 2011–2020. Bank Negara Malaysia. Retrieved From Http://Www.Bnm.Gov.My/Index.Php?Ch= En_Publication_Catalogue&Pg=En_Publication_ Blueprint&Ac=7&Lang=En Assessed (05.01.2016) Bank Negara Malaysia. (2016). Bank Negara Malaysia. Retrieved 18 March 2016, from http://www.bnm.gov.my/payment/statistics/pdf/04_ internet_banking.pdf Banking and Financial Institutions Act. (1989). Bank Negara Malaysia. Retrieved 18 January 2016, from http://www.bnm.gov.my/documents/act/en_ bafia.pdf Baron, R. & Kenny, D. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal Of Personality And Social Psychology, 51(6), 1173-1182. http://dx.doi.org/10.1037/0022-3514.51.6.1173 Başgöze, P. (2015). Integration Of Technology Readiness (Tr) Into The Technology Acceptance Model (Tam) For M-Shopping. International Journal Of Scientific Research And Innovative Technology, 2(3), 26-35. Bitner, Mary; Ostrom, Amy; and Neuter, Natthew (2002). “Implementing Successful Self-service Technologies,” Academy of Management Executive, November, 16(4), 96-109. BNM List of Licensed Banking Institutions in Malaysia. (2016). Bnm.gov.my. Retrieved 9 January 2016, from http://www.bnm.gov.my/index.php?ch=13&cat=banking British Bankers Association. (2015). World of Change (pp. 1-53). Old Broad Street, London: BBA, Pinners Hall. Retrieved from Brown, I., Cajee, Z., Davies, D., & Stroebel, S. (2003). Cell phone banking: predictors of adoption in South Africa—an exploratory study. International Journal Of Information Management, 23(5), 381-394. Cheah, Teo, Sim, Oon & Tan (2011). Factors Affecting Malaysian Mobile Banking Adoption: An Empirical Analysis. International Journal of Network and Mobile Technologies 2(3). Chen, S., Chen, H., & Chen, M. (2009). Determinants Of Satisfaction And Continuance Intention Towards Self‐Service Technologies. Industry Mgmt. & Data Systems, 109(9), 1248-1263. Chen, Z.X., Aryee, S. and Lee, C. (2005), “Test of a mediation model of perceived organizational support”, Journal of Vocational Behavior, Vol. 66, pp. 457-70. Coakes, S. J. & Steed, L. G. (2003). SPSS: Analysis without Anguish. Australia: John Wiley & Sons, Ltd. Dabholkar, P.A. and Bagozzi, R.P. (2002), “An attitudinal model of technologybased self-service:Moderating effects of consumer traits and situational factors”, Journal of the Academy of Marketing Science, 30(3), pp. 184-201. 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 DBS Group Research, (2015). Regional Industry Focus Asean Banks (Pp. 1-26). Singapore. Drexelius, K. & Herzig, M. (2001). Mobile banking and mobile brokerage – Successful Applications of Mobile Business?. International Management & Consulting, 16(2), 20-23. Ensor, B., Montez, T. And Wannemacher, P. (2012), The State Of Mobile Banking 2012, Forrester Research, Usa Http://Interact.F5.Com/Rs/F5/Images/ Forrester%20report%20the%20state%20of%20mobile%20 banking%202012.Pdf Assessed (24.12.2015) Erdoğmuş, N. & Esen, M. (2011). An Investigation Of The Effects Of Technology Readiness On Technology Acceptance In E-Hrm. Procedia - Social And Behavioral Sciences, 24, 487-495. Godoe P. and Johansen, T.S. (2012). Understanding Adoption of New Technologies: Technology Readiness and Technology Acceptance as an Integrated Concept, Journal of European Psychology Students, 3, 38-52. Guhr, N., Loi, T., Wiegard, R., & Breitner, M. (2013). Technology Readiness In Customers’ Perception And Acceptance Of Mobile-Payment: An Empirical Study In Finland, Germany, The Usa And Japan. In 11th International Conference On Wirtschaftsinformatik (Pp. 119-133). Leipzig, Germany. Hair, J., Bush, R., & Ortinau, D. (2002). Research Within a Changing Information Environment (2nd ed.). The McGraw-Hill Companies, Inc. Hair, Jr., J. F., Money, A. H., Samouel, P. & Page, M. (2007). Research methods for business. Chichester: John Willey & Sons Ltd. Hamzah, Z. (2005). Managing Legal Risks In Mobile Banking. New Straits Times, P.12, September 22, 2005. Hernandez, J. (2011). The Regulatory Landscape Of Mobile Banking. Presentation, 11th Global Symposium For Regulators “Smart Regulation For A Broadband World” Armenia, Colombia, 21 September 2011. Available At Https://Www.Itu.Int/Itu-D/Treg/Events/ Seminars/Gsr/Gsr11/Documents/Session_1_Hernandez. Pdf. Accessed (06.04.2016) House Of Lords. (2015). Make Or Break: The UK’s Digital Future. London: Authority Of The House Of Lords. Hunter, G.K. and Perreault, W.D. Jr (2007), “Making sales technology effective”, Journal of Marketing, Vol. 71 No. 1, pp. 16-34. Islamic Banking Act. (1983). Bank Negara Malaysia. Retrieved 10 December 2015, from http://www.bnm.gov.my/documents/act/en_ib_act.pdf Karahanna, E., Straub, D.W. And Chervany, N.L. (1998), “Information Technology Adoption Across Time: A Cross-Sectional Comparison Of Pre-Adoption And Post-Adoption Beliefs”, Mis Quarterly, Vol. 23 No. 2, Pp. 183-213. Kleijnen, M., Wetzels, M., and Ruyter, K. (2004). Consumer acceptance of wireless finance. Kohli, K. (2004). SMS In Banking. Paladion Knowledge Series, Issue January 2004. Krejcie, R. V., and Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement. Krishanan, Khin & Teng (2015). Attitude towards Using Mobile Banking in Malaysia: A Conceptual Framework. British Journal of Economics, Management & Trade 7(4). Lai & Ahmad (2015). Consumers’ Intention to Use a Single Platform E-Payment System: A Study Among Malaysian Internet and Mobile Banking Users. Journal of Internet Banking and Commerce 20(1). Lam, S. Y., J. Chiang, and A. Parasuraman. (2008), The Effects of the Dimensions of Technology Readiness on Technology Acceptance: An Empirical Analysis, Journal of Interactive Marketing, 22(4), pp 19-39. Laukkanen, T., Sinkkonen, S., Kivijärvi, M., & Laukkanen, P. (2007). Innovation resistance among mature consumers. Journal Of Consumer Marketing, 24(7), 419-427. http://dx.doi.org/10.1108/07363760710834834 Assessed (06.04.2016). Leclercq, A. (2007). The perceptual evaluation of information systems using the construct of user satisfaction: case study of a large French group. ACM SIGMIS Database, 38(2), 27-60. Lee, H. and Yang, K. (2013), “Interpersonal service quality, self-service technology (SST) service quality and retail patronage”, Journal of Retailing and Consumer Service, 20(1), pp. 51-57. Liljander, V., Gillberg, F., Gummerus, J. and van Riel, A. (2006), “Technology readiness and the evaluation and adoption of self-service technologies”, Journal of Retailing and Consumer Services, 13(3), pp. 177-91 Lin, C., Shih, H., & Sher, P. (2007). Integrating Technology Readiness Into Technology Acceptance: The Tram Model. Psychology And Marketing, 24(7), 641-657. Lin, J. & Chang, H. (2011). The Role Of Technology Readiness In Self‐Service Technology Acceptance. Managing Service Quality, 21(4), 424-444. Lin, J., & Hsieh, P. (2012). Refinement of the technology readiness index scale. Journal Of Service Management, 23(1), 34-53. http://dx.doi.org/10.1108/09564231211208961 Ma, Q. & Liu, L. (2004). The Technology Acceptance Model. Journal Of Organizational And End User Computing, 16(1), 59-72. http://dx.doi.org/10.4018/joeuc.2004010104 Mallat, N., Rossi, M., and Tuunainen, V.K. (2004) Mobile banking services, Communicates of the ACM 47(5) 42-46. McKinsey (2014). The Road Back (pp. 1-40). McKinsey & Company. Retrieved from http://www.mckinseypanorama.com/media/18237/ McKinsey-Global-Banking-Annual-Review-2014.pdf Assessed (18.01.2016) Meuter, M.L., Bitner, M.J., Ostrom, A.L. and Brown, S.W. (2005), “Choosing among alternative service delivery modes: an investigation of customer trial of self-service technologies”, Journal of Marketing, Vol. 69, 61-83. Meuter, M.L., Ostrom, A.L., Bitner, M.J. and Roundtree, R. (2003), “The influence of technology anxiety on consumer use and experiences with selfservice technologies”, Journal of Business Research, 56(11), 899-907. Mishkin, F., And Eatkins, S. (2008), Financial Markets And Institutions, 6th Ed., Addison Wesley, New York. Mohd Daud, N., Mohd Kassim, N., Wan Mohd Said, W., & Mohd Noor, M. (2011). Determining Critical Success Factors Of Mobile Banking Adoption In Malaysia. Australian Journal Of Basic And Applied Sciences, 5(9), 253-265. Padgett, D. and Mulvey, M.S. (2007), “Differentiation via technology: strategic positioning of services following the introduction of disruptive technology”, Journal of Retailing, 83(4), pp. 375-391. Pallant, J. (2007). SPSS Survival Manual (3rd ed.). Great Britain: Open University Press. Parasuraman, A. & Colby, C. (2001). Techno-ready marketing. New York: Free Press. 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. (2014). An Updated And Streamlined Technology Readiness Index: Tri 2.0. Journal Of Service Research, 18(1), 59-74. Paul Raj, A. (2014). Digital Banking To Advance More Rapidly In Malaysia. The Edge Malaysia, P. 27. Püschel, J., Mazzon, J.A, & Mauro C., Hernandez, J. (2010). Mobile Banking: Proposition Of An Integrated Adoption Intention Framework. Intl Raja U, Johns G, Ntalianis F (2004). The impact of personality on psychological contracts. Acad. Manage. J., 47: 350-367 Ramaseshan, B., Kingshott, R., & Stein, A. (2015). Firm Self-Service Technology Readiness. Journal Of Service Management, 26(5), 751-776. Riivari, J. (2005). Mobile Banking: A Powerful New Marketing And Crm Tool For Financial Services Companies All Over Europe? Journal Of Financial Services Marketing, 10(1), 11-20. Sakun Boon-Itt , (2015), Managing Self-Service Technology Service Quality To Enhance E-Satisfaction, International Journal Of Quality And Service Sciences, 7(4), 373 - 391 Scheier, M. & Carver, C. (1987). Dispositional Optimism and Physical Well-Being: The Influence of Generalized Outcome Expectancies on Health. J Personality, 55(2), 169-210. Sekaran U. (2009). Research Methods for Business: A Skills-Building Approach. (6th Ed). New York: John Wiley & Sons, Inc. Sekaran, U. & Bourgie, R. (2013). Research methods for business. Chichester, West Sussex: Wiley. Sharma, N. (2015). An Empirical Study On Mobile Banking Technology: Factors Affecting Its Adoption In Indian Context. International Journal Of Computer Science And Technology, 6(1), 53-56. 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, 30(6), 1615. Sophonthummapharn, K., & Tesar, G. (2007). Technology Readiness And Propensity Of Cell Phone Users To Subscribe To Commercial Messaging Services. Marketing Management Journal, 17(2), 81-95. Sulaiman, A., Lim, C., & Wee, A. (2005). Prospects And Challenges Of EBanking In Malaysia. The Electronic Journal On Information Systems In Developing Countries, 22(1), 1-11. Thakur, R., & Srivastava, M. (2014). Adoption Readiness, Personal Innovativeness, Perceived Risk And Usage Intention Across Customer Groups For Mobile Payment Services In India. Internet Research, 24(3), 369-392. Tim Berners, L. (2016). Number of Internet Users (2016) -Internet Live Stats. Internetlivestats.com. Retrieved 24 June 2016, from http://www.internetlivestats.com/internet-users/ Tsang, T. (2015). Mediating and Moderating Variables Explained. Psychology In Action. Retrieved 4 May 2016, from http://www.psychologyinaction.org/2015/02/06/ mediating-andmoderating-variables-explained/ Venkatesh V., F. D. Davis, (2000) “A Theoretical Extension Of The Technology Acceptance Model: Four Longitudinal Field Studies”, Management Science, 46(2), 186-204. Verhoef, P., Lemon, K., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. (2009). Customer Experience Creation: Determinants, Dynamics and Management Strategies. Journal Of Retailing, 85(1), 31-41. Walczuch, R., Lemmink, J. And Streukens, S. (2007), “The Effect Of Service Employees’ Technology Readiness On Technology Acceptance”, Information & Management, 44(2), 206-215. Wang, W., Hsieh, P., Butler, J. And Hsu, S.H. (2008), “Innovate With Complex Information Technologies: A Theoretical Model And Empirical Examination”, Journal Of Computer Information Systems, 49(1), 27-36. Wang, Y. S., Lin, H. H., And Luarn, P. (2006). Predicting Consumer Intention To Use Mobile Service. Information Systems Journal, 16(2), 157-179. Wang, Y., Wang, Y., Lin, H., & Tang, T. (2003). Determinants of user acceptance of Internet banking: an empirical study. Int J Of Service Industry Mgmt, 14(5), 501-519. Wise, J. & Parrish, M. (2016). Marketing Strategy For The Mobile Mind Shift. Retrieved from https://www.forrester.com/report/Marketing+Strategy+For+The+Mobile+Mind+Shift/-/E-RES93501 Yen, H.R. (2005), “An attribute-based model of quality satisfaction for internet self-service technology”, The Service Industries Journal, 25(5), pp. 641-59.