Regions of Trust to Technological Know-how Structured for Banking Customers

Authors

  • Solomon Oluyinka University Tun Hussein Onn Malaysia, 8640, Parit Raja, batu Pahat, Johor, Malaysia
  • Alin Shamsuddin
  • Eta Wahab

Keywords:

Trust, Internet Banking, Structured equation modeling, Customers, IDT, TPB

Abstract

This research seeks to consider the invented constructs associated with technological influence approach as well as impact of trust in acknowledging innovation mostly in the scenario involving business banking by way of internet. This research incorporated facets of trust directly into innovation diffusion along with planned behavior concepts (Trust-IDT-TPB). The existing research applied questionnaire research to gather data and also the structural equation modeling technique was utilized to evaluate the assumed model. Conclusion from the study indicated impact of structural assurance, integrity, and disposition to trust and positive predictability of the technology to banking via internet. Also, indicated most influential precursors one of the selected from diffusion and planned behavior theory within the context Nigeria banking customers to embrace the technology. The model led to banks methods to enlarge their market and turning prospective customers to actual. Also, led towards the validity of Innovation diffusion and planned behavior ideas to describe technology acceptance social science studies.

Author Biography

  • Solomon Oluyinka, University Tun Hussein Onn Malaysia, 8640, Parit Raja, batu Pahat, Johor, Malaysia

    PhD student Technology management

    Universisty Tun Hussein Malaysia

References

• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhi & J. Beckmann (Eds.), Action control: From cognition to behavior (pp. 11—39). Heidelberg: Springer.

• Ajzen, I. (2011).the theory of planned behavior: Reaction and reflections. Psychology &Health, 26(9), 1113-1127

• Ali Qzturen (2013). Effects of Electronic Trust on Purchase Intentions in Online Social Review Networks: The Case of Tripadvisor.com. Life Science Journal 10(2): 2002-2010]. (ISSN: 1097-8135). http;//www.lifesciencesite.com. 282

• Alsajjan, B & Dennis C. (2010) "Internet banking acceptance model: Cross-market examination." Journal of Business Research 63 (9–10): 957-963.

• Ayo, C. K, Adewoye J. O, and Oni A. A. (2011): Business-to-Consumer (B2C) e-commerce Implementation in Nigeria: The Prospect and Challenges, Africa Journal of Business Management, Vol. 5(13): 5109-5117.

• Ayo, C. K, Adewoye J. O, and Oni A. A. (2011): Business-to-Consumer (B2C) e-commerce Implementation in Nigeria: The Prospect and Challenges, Africa Journal of Business Management, Vol. 5(13): 5109-5117.

• Baraghani Sara Naimi; [2008) Factors influencing the adoption of Internet banking. Master Thesis, University essay from Luleå/Business Administration and Social Sciences, ISSN 1653-0187 / ISRN LTU-PB-EX--08/099--SE / NR 2008:099

• Dimitriadis, S., and Kyrezis, N. (2011).The effect of trust, channel technology, and transaction type on the adoption of self-service bank channels. The Service Industries Journal, 31 (8), 1293-1310.

• Donnelie K M and Tinashe M (2013) An Analysis of Factors that Influence Internet Banking Adoption Among Intellectuals: Case of Chinhoyi University of Technology. Interdisciplinary Journal Of Contemporary Research In Business 4(11):350-369.

• Fishbein, M. & Ajzen, I. (1975).Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

• Gefen, D., Benbasat, I., and Pavlou, P.(2008).A research agenda for trust in online environments. Journal of Management Information Systems, 24(4), 275-286

• Hair, Joe F. and Marko Sarstedt (2012,).An assessment of the use of partial least squares structural equation modeling in marketing research, Journal of the Academy of Marketing Science, 40, (3): 414-433.

• Han, H., Hsu, L-T, and Sheu C. (2010).Application of the Theory of Planned Behavior to Green Hotel Choice: Testing the effect of environmental friendly activities. Tourism Management, 31, pp. 325-334.

• Howcroft, Barry and Mark Durking (2000), Reflections on Bank Customer Interactions in the New Millennium, Journal of Financial Services Marketing, 5 (1), 9-20.

o Investigation, Australian Journal of Basic and Applied Sciences, 7(2): 182-189, ISSN 1991-8178.

• Lance, C.E., Butts, M.M., & Michels, L.C. (2006).The sources of four commonly reported cutoff criteria: What did they really say? Organizational Research Methods, 9 (2), 202-220.

• Lee, M.C. (2009) Factors influencing the adoption of. Internet banking: An integration of TAM and TPB with perceived risk and perceived benefitâ€, Electronic Commerce Research and Application, 31(9): 859–871

• Mansour Ilham Hassan F.; Abuzar M. A. Eljelly; Abdelgadir M. A. Abdalla (2013) Consumers’ Attitude towards E-Banking Services in Islamic Banks: The Case of Sudan “The Proceedings of the Annual Conference of Postgraduate Studies & Scientific Research, Humanities and Educational Studies, University of Khartoum February 28, 2013.

• McKnight D. H., Carter, M., Thatcher, J. B. & Clay, P. F. (2011) Trust in a Specific Technology: An Investigation of its Components and Measures,†ACMTransactions on Management Information Systems, 2(2).

• McKnight D. Harrison, Vivek Choudhury, Charles Kacmar (2002): Developing and Validating Trust Measures for e-Commerce: An Integrative Typology." Information Systems Research 13(3) 334-359.

• McKnight, D.H., Chervany, N.L., (2001). Trust and distrust definitions: one bite at a time. In: Falcone, Singh R, Tan M., Y.H. (Eds.), Trust in Cyber-Societies: Integrating the Human and Artificial Perspectives, Springer, Berlin, pp. 27 – 54.

• Merritt Stephanie M and Ilgen Daniel R (2008) Not All Trust Is Created Equal: Dispositional and History-Based Trust in Human Automation Interactions, The Journal of the Human Factors and Ergonomics Society 50: 194. (DOI: 10.1518/001872008X288574)

• Nor Khalil Md and Pearson M (2007) the influence of trust on internet banking acceptance, journal of internet banking and commerce 12(2), 1-10

• Nor Khalil Md and Pearson M (2008).An Exploratory Study into the Adoption of Internet Banking in a Developing Country: Malaysia, Journal of Internet banking and Commerce 7(1): 29-37.

• Odior, N. and Richard E. O. (2013) Electronic Payment in Cashless Economy of Nigeria: Problems and Prospect. Journal of Management Research, 2013, Vol. 5, No. 1

• Omotunde M., Sunday T, and John-Dewole A.T (2013) Impact of Cashless Economy in Nigeria Greener Journal of Internet, Information and Communication Systems, 1 (2)040-043.

• Oni, A. A. and C. K. Ayo (2010).An Empirical Investigation of the Level of Users’ Acceptance of E-Banking in Nigeria, Journal of Internet Banking and Commerce, 15 (1): 1-13.

• Ozaki, R. (2011). "Adopting sustainable innovation: what makes consumers sign up to green electricity?" Business Strategy and the Environment, 20(1): 1-17.

• Polatoglu, Vichuda N and Serap Ekin (2001),An Empirical Investigation of the Turkish Consumers’ Acceptance of Internet Banking Services, International Journal of Bank Marketing, 19 (4), 156-65.

• Rogers E.M (2003) Diffusion of innovations New York: Free Press

• Rogers E.M, (1983), Diffusion of innovations, New York: Free Press.

• Shrivastav A. K (2013) “ICT Penetration and Cybercrime in India†International Journal of Advanced Research and Applications 1(4), 247-263.

• Solomon Oluyinka., Shamsuddin, A., Wahab, E., Ajagbe, M.A. and Enegbuma, W.I. (2013) ‘A study of electronic commerce adoption factors in Nigeria, International Journal of Information Systems and Change Management, Vol. 6, No. 4, pp.293–315.

• Stephen A. O and Ikpefan A (2012).Electronic Commerce, Automation and Online Banking in Nigeria: Challenges and Benefits. International Journal of Innovation in the Digital Economy3,(1): 16 pages (2012) copyright.

• Suh, B., & Han, I (2002), “Effect of trust on customer acceptance of Internet banking,†Electronic Commerce Technology Adoption Research,â€

• Taylor, S & Todd (1995b).Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International Journal of Research in Marketing

• Vagias M W (2006). Likert-type scale response anchors, Clemson International Institute for Tourism & Research 6(257(6) 50-58

• Venkatesh, V., Morris, M.G,, Davis, G.B., & Davis, F.D (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly." 27.3(425-478).

• Wang, Y. D. and H. H. Emurian (2005).An overview of online trust: Concepts, elements, and implications." Computers in Human Behavior, 21(1): 105-125

• Wang, Y.-S, Lin H.-H, Luarn P (2006).Predicting consumer intention to use mobile service, Information Systems Journal 16(2): 157-179.

• Yousafzai Shumaila, Pallister John, Foxall Gordon (2005). Strategies for building and communicating trust in electronic banking: A field experiment. Psychology and Marketing, 2(2), 181–201

• Zainudin A. (2012) Research Methodology and Data Analysis 2nd Edition, Shah Alam: University Technology MARA Publication Centre (UiTM Press).

• Zhou, T., Lu, Y. B. and Wang, B. (2010): Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760-767.

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Published

2015-08-17

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How to Cite

Regions of Trust to Technological Know-how Structured for Banking Customers. (2015). Asian Journal of Applied Sciences, 3(4). https://ajouronline.com/index.php/AJAS/article/view/2772

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