Indian Journal of Science and Technology

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Technology of E-banking: Perspective of Costumers' Perceived Risk and Uncertainty


Affiliations
1 Supreme Audit Court of IRAN- Allameh Tabataba'i University, Master of Information Technology Management (ITM)
2 University of Karaj Payam Noor, Iran, Islamic Republic of
3 MBA- Marketing Management- University of Pune, India
4 Business Administration, Payam – e – Noor University, Iran, Islamic Republic of
 

The topic of perceived risk and uncertainty helps in facilitating the perception of consumers' attitude toward marketers. The main aim of this study is to explore the effect of consumers' perception of risk and uncertainty on the rate of using internet banking as a new service and enhancing knowledge scope in this area. Examined risk and uncertainty includes 13 dimensions of security risk, financial risk, operational risk, psychological risk, time risk, social risk, consequences uncertainty, information uncertainty, knowledge uncertainty, choice uncertainty, brand uncertainty, needs uncertainty, and post purchase uncertainty. Regression analysis and multiple regression techniques have been employed for theory analysis. Statistical tests indicate that risk and uncertainty components have negative significant relationship with the rate of internet banking usage. Multiple regression analysis indicates that of 13 dimensions being explored, four dimensions of uncertainty of choice uncertainty, psychological risk, uncertainty about results and operational risk could fully explain 0.709 of variations in dependent variable of rate of internet banking usage. Meanwhile the selection dimension alone could explain 0.54 of internet banking usage variable.

Keywords

Consumer Behavior, Perceived Risk, Perceived Uncertainty, Internet Banking
User

  • Agumya A and Hunter GF (1999) A risk-based approach to assessing the 'Fitness for Use' of spatial data. URISA J. 11(1), 33-44.

  • Almousa M (2011) Perceived risk in apparel online shopping: A Multi dimensional perspective. Canadian Soc. Sci. 7(2), 23-31, online available: http://www.cscanada.net/index.php/css/article/viewFile/12 54/1273.

  • Ameli SR (2001) Two globalization and International community anxiety. J. Soc. Sci. 22, 28-35.

  • Amit KG, Goutam C and Debra BG (1995) Improving brand performance by altering consumers' brand uncertainty. J.Product & Brand Managt. 4(5), 14–20, online available: http://www.emeraldinsight.com/journals.htm?articleid=857597&show=abstract.

  • Andriy C (2001) Electronic banking in UKRAIN: the Factors in decision making, A thesis submitted in partial fulfillment of the requirements for the degree of Master of Arts. National Univ. Kyiv-Mohyla Acad. online available: http://kse.org.ua/uploads/file/library/2001/Chornyy.pdf

  • Bauer RA (1960) Consumer behavior as risk taking, in R.S, Hancock, Ed. Dynamic Marketing for a Changing World. Proce. 43rd Conf. American Marketing Assoc. pp: 389-400.

  • Belkhamza Z and Wafa SA (2009) The effect of perceived risk on the intention to use e-commerce: The case of Algeria. J. Internet Banking & Commerce. 14(1), 1-10. Online available: http://www.arraydev.com/commerce /jibc/2009-04/Belkhamza_JIBC.pdf.

  • Boshoff CS and Ward SJ (2011) Consumers perceived risks associated with purchasing on a branded web site: the mediating effect of brand knowledge. South Afric. J. Bus. Manage. 42(1), 45-54.

  • Cunningham LF, Gerlach JH and Harper MD (2005) Perceived risk and the consumer buying process: internet airline reservation. Int. J. Ser. Indus. Manage. 16(4), 357-372.

  • Dabholkar P (1995) Consumer evaluations of new technology-based self-service options: An Investigation of alternative models of service quality. Intl. J. Bank Marketing Info. 13(1), 29-51.

  • Department of Technology's Banks (2011) Information age website. Online available: http//:ict.news.ir.

  • Dowling GR and Staelin R (1994) A model of perceived risk and intended risk-handling activity. J. Consum. Res. 21, 119-134.

  • Fang YL, Yu CC and Dah HS (2011) Multinational corporations (MNCs) and risk perception: Understanding causes and strategic consequences. Afri. J. Busi. Manage. 5(8), 3199-3211, online available: http://www.academicjournals.org/ajbm/PDF/pdf2011/18Ap r/Lo%20et%20al.pdf

  • Featherman MS and Pavlou AP (2002) Predicting Eservices adoption: A perceived risk facets perspective. Eighth Ameri. Conf. Inform. Sys. pp: 1034-1046. Online available: http://sighci.org/amcis02/CR/Featherman.pdf

  • Garratt B (2007) Dilemmas, uncertainty, risks, and board performance. BT Technol. J. 25(1), 11-18. Online available: http://www.governance. usb.ac.za/articles/Vol25No1Paper01.pdf.

  • Gebauer J and Kline D (2011) Password security risk versus effort: An exploratory study on user-perceived risk and the Intention to use online applications. J. Info. Sys. Appl. Res. (JISAR), 4 (2), 52-62, online available: http://www.scriptwarp.com/warppls/pubs/Gebauer_etal_20 11 _JISAR_PswdSecurity.pdf.

  • Gerrard P and Cunningham JD (2006) Why consumers are not using Internet banking, A qualitative study. J. Ser. Marketing Info. 20(3), 160-168.

  • Ghosh AK, Chakraborty G and Ghosh DB (1995) Improving brand performance by altering consumers brand uncertainty. J. Product & Brand Managt. 4(5), 14-20. Online available: http://www.emarketing.net.cn/ upload/file/2008/ 05/06/231210088598340.pdf.

  • Hennigs N, Wiedmann KP, Seegebarth B, Pankalla L and Kassubek M (2010) The influence of consumers' risk attitudes and behavior on the adoption of online banking services. J. Marketing Trends. 1, 7-16. Online available:http://www.marketing-trendscongress. com/sites/default/files/Hennigs_Wiedmann_See gebarth_ Pank alla_Kassubek.pdf

  • Hofstede G (2001) Culture's consequences: comparing values, behaviors. Inst. & Organiz. Across Nations. Sage Publi., Beverley Hills, CA.

  • Hong YH (2006) The Effects of consumer risk perception on pre-purchase Information in online auctions: brand, Word-of-mouth, and customized. Info. J. Comput. Mediated Commun. 8(1). Online available: http://onlinelibrary.wiley.com/doi/10.1111/j.1083- 6101.2002.tb00160.x/full.

  • Jacoby J and Kaplan LB (1972) The Components of perceived risk, in M. Venkatesan and Champaign. Proc. 3rd Annual Conf. Ed., IL: Assoc. Consum. Res. pp: 382- 393. Online available: http://www.acrwebsite.org/volumes/display.asp?id=12016.

  • Kim K and Prabhakar B (2000) Initial trust, perceived risk, and the adoption of internet banking. Proce. ICIS '00 Proce. 21st Intl. Conf. Info.Sys. Assoc. Info. Sys. Atlanta, GA, USA, 537-543, online available: http://portal.acm.org/citation.cfm?id=359809.

  • Kim K and Prabhakar B and Park SK (2009) Trust, perceived risk, and trusting behavior in Internet banking. Asia Pacific J. Info. Sys. 19(3), 1-23, online available: http://apjis.or.kr/pdf/MIS019-003-1.pdf.

  • Klerck D and Sweeney JC (2007) The effect of knowledge types on consumer-perceived risk and adoption of genetically modified foods. Psychol. & Market. 24(2), 171-193. online available: http://repository.uwa.edu.au:80/R/-?func=dbin-jumpfull& amp;object_id=15863&current_base=GEN01- INS01

  • Kumar R (2005) Res. Methodol.. A Step-by-step Guide for Beginners. SAGE Publications.

  • Lai VS and Li H (2005) Technology acceptance model for internet banking: an invariance analysis. Info.& Managt. 42(2), 373–86, online available: http://www.sciencedirect. com/science/article/pii/S0378720604000382

  • Laukkanen T and Cruz P (2008) Barriers to mobile banking adoption: A cross-national study. Proc. Int. Conf. E-Bus. Setubal, Insticc-Inst. Sys. Technol. Info. Control & Commun. online available: http://arnetminer.org/viewpub.do?pid=1246954

  • Lee MC (2008) Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Elect. Commerc. Res. & Appl. 8(3), 1-12. Online available: http://cscstudentweb. lr.edu/swp/Berg/PhD%20Backgound%20mate rial%20-%20dissortation/ Literature_articles/A%20set%20of%20Human%20factors/ Experience%20-%20 Factors%20influencing%20the%20 adoption%20of%20internet%20ba.pdf

  • Li F (2011) E-Business; Reinventing business in Information age. Translate by: Yaghoubi N, Khaksar SMS and Qarehchahi A (2011) Publication by: Univ. Sistan & Baluchestan. Zahedan. pp: 7-11.

  • Liberman Y and Stashevsky S (2002) Perceived risk as barriers to Internet and E-commerce usage. Qualit. Market Res.: An Intl. J., 5(4), 291-300. Online available:http://jihadi.staff.umm.ac.id/files/2010/01/Perceived_risks_as_barriers.pdf.

  • Littler D and Melanthiou D (2006) Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services. Manchester Busi. School, J. Retailing & Consum. Ser. 13, 431-43. available online: www.sciencedirect.com.

  • Mintel (2000) New technology and financial servicesspecial report December, available online: http://www.rweports.mintal.com.

  • Mitchell VW (1998) A role for consumer risk perceptions in grocery retailing. British Food J. 100(4), 171–183, available online: http://www.emeraldinsight.com /journals.htm?articleid=870428.

  • Mitchell VW (1999) Consumer perceived risk: Conceptualizations and models. Eur. J. Market., 33(1/2), 163-195. Online available: http://www.emeraldinsight. com/journals.htm?articleid=853591&show=pdf.

  • Mitchell VW and Harris G (2005) The Importance of consumers perceived risk in retail strategy. Europ. J. Market. 39(7/8), 821-837.

  • Mitchell VW and Boustani P (1994) A Preliminary investigation into pre and post purchase risk perception and reduction. Europ. J. Market. 28(1), 56-71.

  • Mostafavi S (2005) Identify factors affecting consumer behavior in use of banking e-services. Master Thesis. Tehran. Univ. Sci. & Res. Page no?

  • Nena L (2003) Consumers' perceived risk: sources versus consequences. J. Electron. Commerc. Res. &Appl. 2, 216-228.

  • Parasuraman A and Grewal Dhruv (2000) The impact of technology on the Quality-value-loyalty chain: A research agenda. Acad. Marketing Sci. 28(1), 168.

  • Price LJ and Dawar N (2002) The joint effects of brands and warranties in signaling new product quality. J. Econom. Psychol. 23, 165–190.

  • Rayport J and Sviokla J (1995) Exploiting the virtual value chain. Harvard Business Rev. 73, 14-24.

  • Roselius T (1971) Consumer rankings of risk reduction methods. J. Market. 35(1), 56-61. online available: http://www.jstor.org/pss/1250565.

  • Sally H (2006) Can the building of trust overcome consumer perceived risk online? Market. Intelligence & Planning. 24(7), 746-761. online available: http://www.emeraldinsight.com/journals.htm?articleid=157 6179&show=html.

  • SeyyedJavadin R and Yazdani S (2005) The study of affecting Factors on customers intends to use Banking eservices (case study: SAMAN Bank). Manage. Knowledge J., 7, 45-61.

  • Simcock P, Sudbury L and Wright G (2006) Age, Perceived risk and satisfaction in consumer decision making: a review and extension. J. Marketing Managt., 22(3,4), 355-377. Online available: http://www. mendeley.com/research/age-perceived-risk-andsatisfaction- in-consumer-decision-making-a-review-andextension/.

  • Sokolowska J (2006) Risk perception and acceptance— one process or two? Experimental Psychol., Hogrefe & Huber Publi., 53(4), 247–259, online available: http://www.ocf.berkeley.edu/~reetaban/triple%20helix/risk %20perception, %20effect%20of%20aspiration.pdf

  • Sridhar G (2007) Consumer Involvement in product choice: Role of perceived risk. Decision J., 34(2), 51-57. Online available: http://dspace.iimk.ac.in /bitstream/2259/521/1/Sridhar.pdf

  • Stone R and Gronhaug K (1993) Perceived risk: Future considerations for the marketing discipline. Eur. J. Marketing, 27(3), 39-50.

  • TELNA (2011) News website of telecommunication world, Branch of Information Technology. Online available: http//:iranictnews.ir/related/96120/R_96110

  • Yin RK (2003) Case study research: Design and methods. 3rd ed., Sage Publi., Inc.

  • Yousafza S, Pallister J and Foxall G (2009) Multidimensional role of trust in Internet banking adoption. Serv. Indus. J., 29(5), 591–605. Online available: http://www.cardiff.ac.uk/carbs/faculty/yousafzais/ContentS erver.pdf

  • Zikmund WG and Scott JE (1973) A Multivariate analysis of perceived risk, self-confidence, and Informational sources. In Ward S and Wright P (ed.,), Adv. Consum. Res., 1, Assoc. Consum. Res., Urbana, IL.


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  • Technology of E-banking: Perspective of Costumers' Perceived Risk and Uncertainty

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Authors

Gholamreza Bazgosha
Supreme Audit Court of IRAN- Allameh Tabataba'i University, Master of Information Technology Management (ITM)
Nadia Eizi
University of Karaj Payam Noor, Iran, Islamic Republic of
Khaled Nawaser
MBA- Marketing Management- University of Pune, India
Mohammad Mehdi Parhizgar
Business Administration, Payam – e – Noor University, Iran, Islamic Republic of

Abstract


The topic of perceived risk and uncertainty helps in facilitating the perception of consumers' attitude toward marketers. The main aim of this study is to explore the effect of consumers' perception of risk and uncertainty on the rate of using internet banking as a new service and enhancing knowledge scope in this area. Examined risk and uncertainty includes 13 dimensions of security risk, financial risk, operational risk, psychological risk, time risk, social risk, consequences uncertainty, information uncertainty, knowledge uncertainty, choice uncertainty, brand uncertainty, needs uncertainty, and post purchase uncertainty. Regression analysis and multiple regression techniques have been employed for theory analysis. Statistical tests indicate that risk and uncertainty components have negative significant relationship with the rate of internet banking usage. Multiple regression analysis indicates that of 13 dimensions being explored, four dimensions of uncertainty of choice uncertainty, psychological risk, uncertainty about results and operational risk could fully explain 0.709 of variations in dependent variable of rate of internet banking usage. Meanwhile the selection dimension alone could explain 0.54 of internet banking usage variable.

Keywords


Consumer Behavior, Perceived Risk, Perceived Uncertainty, Internet Banking

References





DOI: https://doi.org/10.17485/ijst%2F2012%2Fv5i2%2F30364