Site Loader
Rock Street, San Francisco

International Journal of e-Education, e-Business, e-Management and e-Learning, Vol. 1, No. 3, August 2011 Customer’s Adoption of Mobile-Commerce A Study on Emerging Economy Rahmath Safeena, Nisar Hundewale, and Abdullah Kamani Abstract—Today, mobile communication technologies provide immense additional scope for consumers’ banking transactions due to their always-on functionality and the option to access bank’s facilities anytime and anywhere. Mobile banking is a subset of electronic banking which underlies not only the determinants of the banking business but also the special conditions of mobile commerce.

It is the latest and most innovative service offered by the banks. But not enough study has been done to known regarding how customers perceive and evaluate electronically delivered mobile banking services. The study considers five factors perceived usefulness, perceived ease of use, subjective norm, consumer awareness about mobile banking and perceived risks associated with mobile banking. This study also points out that these factors have a strong and positive effect on customers to accept mobile banking system. Index Terms—m-commerce, mobile banking; perceived usefulness, ease of use, risk, awareness, subjective norm.

We Will Write a Custom Essay Specifically
For You For Only $13.90/page!


order now

I. INTRODUCTION The proliferation of, and rapid advances in, technology-based systems, especially those related to the internet, are leading to fundamental changes in how companies interact with customers [1-3]. Mobile phone usage has spread in a very broad manner both in developing and developed countries. With mobile communications already as a prime case for leapfrogging traditional infrastructure, mobile banking (M-Banking) has great potential for extending the provision of financial services to unbanked people through a technology that is both familiar and widespread.

One of the first commercial applications of the mobile commerce was mobile banking (m-banking) [4], [5]. The rapid growth of mobile applications has given rise to a new term: m-commerce. M-commerce is defined as the application of wireless communications networks and devices to the execution of transactions with monetary value – either direct or indirect [6]. As the number of mobile phone users is growing, purchasing products and services using mobile phones and other mobile devices are also increasing; also the use of Mobile Banking is still in initial stages and more research in this field is needed [7].

Internet banking and mobile banking (m-banking) has become the self-service delivery channel that allows banks to provide information and offer services to their customers with more convenience via the web services technology. A key component of many initiatives is the implementation of Customer Relationship Management (CRM) software [8]. Many companies in the financial services sector have been quick to implement Internet capabilities, and electronic service is becoming a viable option for interaction between financial service providers and their customers [9].

Customer satisfaction and customer retention are increasingly developing into key success factors in e-banking [2]. Technology, in particular, has been increasingly employed in service organizations to enhance customer service quality and delivery, reduce costs, and standardize core service offerings [1], [9-11]. Mobile banking service allows customers to manage their accounts with ease. Mols et al. , [12] stated that the diffusion of electronic banking is more determined by customer acceptance than by seller offerings.

Not enough is known regarding how customers perceive and evaluate electronically delivered services. Lee and Lin [10] have also recently highlighted the need for further research to measure the influence of e-service on customer-perceived service quality and satisfaction [1]. This study considers the five factors perceived usefulness, perceived ease of use, subjective norm, consumer awareness about mobile banking and perceived risks associated with mobile banking. Half of the people that have tried mobile banking services will not become active users.

Highly publicized cases involving major security failures might have contributed to the public’s concern and lack of acceptance of mobile banking. The present study aims at examining the impact of perceived usefulness, perceived ease of use, subjective norm, and consumer awareness on mobile banking and perceived risk on the acceptance of mobile banking by the consumers. II. MOBILE BANKING With mobile commerce or m-commerce technology, consumers can use mobile phones, Personal Digital Assistant (PDA) and laptop computers to access the internet, send and receive messages and make transactions at ny time from any places without having tied to a particular location [13]. Mobile banking is a subset of electronic banking which underlies not only the determinants of the banking business but also the special conditions of mobile commerce. Mobile Banking has been gaining increasing popularity amongst various sections of the society for past few years, having recovered from the shock of the dot-com burst [14]. Mobile Banking refers to provision and availment of banking- and financial services with the help of mobile telecommunication devices.

The scope of offered services may include facilities 228 Manuscript received July 12; revised July 25, 2011. Rahmath Safeena, Nisar Hundewale, Abdullah Kamani, are College of Computers and Information Technology, Taif University, Taif, Saudi Arabia (e-mail:safi. [email protected] com,e-mail:n. [email protected] edu. sa,e-mail:abd ullah. [email protected] edu. sa) International Journal of e-Education, e-Business, e-Management and e-Learning, Vol. 1, No. 3, August 2011 to conduct bank and stock market transactions, to administer accounts and to access customized information [15].

With mobile technology, banks can offer services to their customers such as doing funds transfer while travelling, receiving online updates of stock price or even performing stock trading while being stuck in traffic. Smart phones and 3G connectivity provide some capabilities that older text message-only phones do not. The convergence of mobile communications and distributed networked computing has provided the foundation for the development of a new channel of electronic business, mobile business [15].

Mobile business (m-business) is defined as the use of the mobile information technologies, including the wireless Internet, for organizational communication and coordination, and the management of the firm [16]. M-Banking is a term used for performing balance checks, account transactions, payments, credit applications etc. via a mobile device such as a mobile phone or Personal Digital Assistant (PDA). It is the convenient, simple, secure, anytime and anywhere banking. Many new e-commerce applications will be possible and significantly benefit from emerging ireless and mobile networks. These applications can collectively be termed wireless e-commerce or mobile commerce [17]. The earliest mobile banking services were offered via SMS. With the introduction of the first primitive smart phones with WAP (wireless application protocol) support enabling the use of the mobile web in 1999, the first European banks started to offer mobile banking on this platform to their customers [15]. SMS Banking is a Mobile technology that allows you to request and receive banking information from your bank on your mobile phone via SMS [18].

WAP banking is another form of the E-banking that enables the user to communicate interactively with the bank, for which client uses only GSM mobile phone with WAP service. With its options and the method of controlling WAP banking reminds an easy form of Internet banking. WAP is a universal standard for bringing Internet-based content and advanced value-added services to wireless devices such as phones and PDAs [19]. III. CONSUMER ATTITUDE TOWARDS M-BANKING Technological innovations are having significant importance in human general and professional life. This era can safely be attributed as technology revolution.

The quick expansion of information technology has imbibed into the lives of millions of people. Rapid technology advancements have introduced major changes in the worldwide economic and business atmosphere [20]. Research on consumer attitude and adoption of mobile banking showed there are several factors predetermining the consumer’s attitude towards online banking such as person’s demography, motivation and behavior towards different banking technologies and individual acceptance of new technology. It has been found that consumer’s attitudes toward online banking are influenced by the prior experience of computer and new technology [21].

The adoption of electronic banking forces consumers to consider concerns about password integrity, privacy, data encryption, hacking, and the protection of personal information [22]. Electronic banking requires perhaps the most consumer involvement, as it requires the 229 consumer to maintain and regularly interact with additional technology (a computer and an Internet connection) [23]. Consumers who use e-banking use it on an ongoing basis and need to acquire a certain comfort level with the technology to keep using it [24]. Customer adoption is a recognized dilemma for the strategic plans of financial institutions.

Several studies have investigated why individuals choose a specific bank. Important consumer selection factors include convenience, service facilities, reputation and interest rates [25], [26]. According to Delvin [27], customers have less time to spend on activities such as visiting a bank and therefore want a higher degree of convenience and accessibility. The service-quality attributes that the Internet banks must offer to induce consumers to switch to online transactions and keep using them are perceived usefulness, ease of use, reliability, responsiveness, security, and continuous improvement [28].

In another study by [29], they found that individual expectations regarding accuracy, security, network speed, user-friendliness, and user involvement and convenience were the most important quality attributes in the perceived usefulness of Internet-based e-retail banking. The crucial factors that affect an individual’s decision to use or not to use online services the age, the difficulties of using the Internet, fear of changes in banking sector due to technological development and lack of information concerning products and services provided to customers through electronic delivery channels.

Factors such as speed of transactions or the cost of using the Internet have little impact on an individual’s final decision [30]. In the study by [1], revealed six composite dimensions of electronic service quality, including the provision of convenient/accurate electronic banking operations; the accessibility and reliability of service provision; good queue management; service personalization; the provision of friendly and responsive customer service; and the provision of targeted customer service. Perceived usefulness, security and privacy are the main perusing factors to accept online banking system [20].

According to a study WAP, GPRS and 3G features from mobile devices are of no significance or influence in the adoption of e-banking services [31]. IV. RESEARCH MODEL AND HYPOTHESES Perceived usefulness and perceived ease of use are the two components of Technology Acceptance Model (TAM). According to [32],”perceived usefulness is the extent to which a person believes that using a particular system will enhance his or her performance, while perceived ease of use is the extent to which a person believes that using a particular system will be free of effort”.

TAM has been widely used by information system researcher; there is a common agreement among them that the model is valid in predicting the individual’s acceptance of new technologies [33-36]. Perceived usefulness and perceived ease of use is significant factors affecting acceptance of an information system or new technologies. Prior research has empirically found positive relationship between perceived ease of use and perceived usefulness as critical factors on the use of e- banking [31], [37-39]. Hence an application perceived to be useful International Journal of e-Education, e-Business, e-Management and e-Learning, Vol. , No. 3, August 2011 perceived to be easier to use than another is more likely to be accepted by users. By applying these into online banking context we hypothesize: H1: Perceived usefulness has a positive effect on intention to adopt and use MB. H2: Perceived ease of use has a positive effect on intention to adopt and use MB Adoption is the acceptance and continued use of a product, service or idea. According to [40], [41], consumers go through “a process of knowledge, persuasion, decision and confirmation” before they are ready to adopt a product or service.

The adoption or rejection of an innovation begins when “the consumer becomes aware of the product”. Consumers will seek out services which offer the best value for money. Hence, for adoption of mobile banking, it is necessary that the banks offering this service make the consumers aware about the availability of such a product and explain how it adds value relative to other products of its own or that of the competitors. An important characteristic for any adoption of innovative service or product is creating awareness among the consumers about the service/product [40].

The amount of information consumers have about online banking has been identified as a major factor impacting the adoption. According to [40], while the use of online banking services is fairly new experience to many people, low awareness of online banking is a major factor in causing people not to adopt online banking. In an empirical study of Australian consumers found that consumers were unaware about the possibilities, advantages/disadvantages involved with online banking. Hence, we posit that:

H3: Awareness about MB has a positive effect on intention to adopt and use MB Perceptions of risk are a powerful explanatory factor in consumer behavior as individuals appear to be more motivated to avoid mistakes than to maximize purchasing benefits [42]. The construct Perceived Risk reflects an individual’s subjective belief about the possible negative consequences of some type of planned action or behavior, due to inherent uncertainty. Pavlou [43] refers to perceived system risk as the overall amount of uncertainty perceived by an organization in a particular purchase situation.

The Perceived Risk associated with online transactions may reduce perceptions of behavioral and environmental control, and this lack of control is likely to negatively influence e-commerce usage intentions [44]. Similar is with m-commerce applications. Diffusion of innovation literature is often silent on perceived risk as a factor influencing the diffusion of an innovation, despite adoption behavior often being a process of dealing with the uncertainty about incorporating an innovation into ongoing practice [45].

Services are inherently more risky than products and that the major reason for this is the higher levels of uncertainty which are associated with services [42], [46], [47]. Polatoglu and Ekin [48] also found that perceived risk was one of the major factors affecting consumer adoption, as well as customer satisfaction of mobile banking services. Perceived risk usually arises from uncertainty. Hence we hypothesize: H4: Perceived risks have a negative impact on intention to adopt and use MB. Subjective norm is the perceived social pressure to engage 230 or not to engage in a behavior.

Subjective norm is determined by the total set of accessible normative beliefs concerning the expectations of important referents [49]. It is the person’s perception that most people who are important to him think he should or should not perform the behavior in question [50]. individual often respond to social normative influences to establish a favorable image within a reference group. Moore and Benbasant define image as the degree to which use of an innovation is perceived to enhance one’s status in social system [51]. H5: Subjective norm has a positive effect on intention to adopt and use MB.

RESEARCH METHODOLOGY Perceived usefulness Perceived ease of use Awareness Perceived risk Subjective Norm Fig. 1. RESEARCH MODEL Mobile Banking Adoption The key intention of this paper is to evaluate those factors that manipulate the nature of customers towards mobile banking and their growing tendency towards the online financial institutions. A survey instrument in the form of questionnaire was developed through data collected from previous studies on acceptance of mobile banking. We constructed several questions in the questionnaire based on the objectives of the research.

SPSS 12 package was used for analysis. Likert scale is used in order to identify the respondents’ perceptions towards mobile banking adoption. During the interviews we sought general information from the managers about mobile banking and asked them to discuss the reasons for undertaking mobile banking and to highlight mobile banking development challenges. We also asked them to discuss the issues relevant to the future of the initiative. The questionnaires were based on customers’ intention to adopt mobile banking. Sample Convenience sampling method was used.

It is a type of non-probability sampling which involves the sample being drawn from that part of the population which is close to hand, i. e, sample population selected because it is readily available and convenient. The reasons of using this sampling type are twofold. First, it offers an easy way to obtain the raw data for the further analysis. Second, it saves times and costs since the respondents can be randomly selected. Choosing this campus is because of two reasons. First, those business and economics student are revealed with the knowledge of applied business and economics.

At the same time, they are equipped with the knowledge of computer science, where the concept of mobile banking is not an alien for these students. Second, it was found that there is no study ever conducted in International Journal of e-Education, e-Business, e-Management and e-Learning, Vol. 1, No. 3, August 2011 the campus, it leaves a motivation to the research to perform a study in order to investigate the students’ adoption for mobile banking in the near future. Table 1 shows the profile of the respondents. The sample shows that the number of male (78. 84%) respondents is higher than the number of female (21. 15%) respondents.

The sample shows that the largest age group that responded was from 20 to 30 years of age (82. 7%), followed by age 31 to 40 (11. 5%), then 41 to 50 (03. 8%) and >50 (1. 9%). In the education background more than 55% of the respondents were postgraduate students and more than 28% were graduate students and 11. 5% were PhD students. TABLE I: PROFILE OF THE RESPONDENTS Items No. of Respondent 42 Male 11 Female 20-30 43 31-40 6 41-50 2 >50 1 Graduate 15 Postgraduate 29 PhD 6 Other 2 Factor loading values were obtained using varimax rotation. According to the above table, most of the factor loading for each instrument exceeded 0. , meeting the essentially significant level of convergent validity. Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. Rotation converged in 6 iterations. Using eigenvalue greater than 1 as a selection criterion. Each has cumulative frequency of 21. 11, 43. 16, 52. 85, 58. 55 and 69. 94 percent respectively. These factors accounted for 69% of the variance and the factor loading were greater than 0. 6. Hence the results show that H1, H2, H3, H4 and H5 are confirmed. The results are consistent and are supported by previous studies.

TABLE II: RELIABILITY TEST Determinants No. of items PU 7 PEU 5 AW 7 PR 6 SN 2 Reliability 0. 834 0. 760 0. 836 0. 600 0. 778 Demographics Gender Age group Education Percent 78. 84 21. 15 82. 7 11. 5 3. 8 1. 9 28. 8 55. 8 11. 5 3. 8 V. DISCUSSION AND FINDINGS Although mobile banking provides flexibility in performing financial transaction, fast and easy, however individuals are still reluctant to adopt the system because of several reasons. First, the security and privacy are two elements in the perceived risk. Without a proper knowledge of the system, individuals are not interested to test the system.

Perceived usefulness, ease of use and consumer awareness has positive impact on the intention to adopt mobile banking while perceived risk has negative impact on it. When online banking is perceived as useful, customer’s intention to adopt it would be greater. Likewise bank customers are likely to adopt mobile banking when it is easy to use. Social influence has positive effect on the use of mobile technology as the individuals think that using the advanced technology will improve his image and status in the society and also it improves his performance.

This shows that bank customers anchor their online banking adoption intention to the beneficial outcomes and ease of use process of the system. This finding is particularly important for managers as they decide how to allocate resources to retain and expand their current customer base. However, building a risk-free online transaction environment is much more difficult than providing benefits to customers. Further, the research instrument was tested for reliability using Cronbach’s coefficient alpha estimate. The Cronbach’s alpha values for all dimensions range from 0. 60 to 0. 93, exceeding the minimum alpha of 0. [52], thus the constructs measures are deemed reliable. Principal component factor analysis with a varimax rotation was conducted. The aim of factors analysis is to confirm the construct validity of the scales could be performed adequately by using principle component analysis. In order to reach this, the minimum factor loading of 0. 6 on its hypothesized constructs is proposed by Nunnally [53]. A number of analyses were conducted for factors analysis. 231 PU PU1-0. 680 PU2-0. 681 PU3-0. 761 PU4-0. 827 PU5-0. 664 PU6-0. 735 PU7-0. 647 TABLE III: FACTOR LOADING SN PEU AW PR PEU1-0. 558 AW1-0. 50 PR1-0. 833 SN1-0. 901 PEU2-0. 577 AW2-0. 711 PR2-0. 658 SN2-0. 886 PEU3-0. 537 AW3-0. 658 PR3-0. 759 PEU4-0. 569 AW4-0. 600 PR4-0. 650 PEU5-0. 824 AW5-0. 662 PR5-0. 679 AW6-0. 662 PR6-0. 741 AW7-0. 658 Code PU1 PU2 PU3 PU4 PU5 PU6 PU7 PEU1 PEU2 PEU3 PEU4 PEU5 AW1 AW2 AW3 AW4 AW5 AW6 AW7 PR1 PR2 PR3 PR4 PR5 PR6 SN1 SN2 TABLE IV: FACTOR EXPLANATIONS. Statements MB gives flexibility to conduct banking business 24 hours/day MB transactions save more time. MB makes it easier for me to do my banking. MB helps me to know the state of my account faster. MB provides me prompt and efficient services.

MB provides systems to give appropriate feedback. MB gives the joy of controlling my financial transactions. Learning to use MB was easy for me. Instructions in the MB system are clear and understandable. I find MB system easy to use. MB has more flexible ways to search for information. I feel that user-friendliness of the MB website is important. I think that I am aware about the benefits of MB I think that I have received enough information about MB. I will frequently use MB in the future. I will strongly recommend others to use MB. I think that using the new MB service is beneficial for me.

I have positive perception about using the MB service. MB is compatible to my banking needs. MB will allow unauthorized person to access personal information. MB provides accurate, relevant and up to date information. MB has the chance of data loss and fraud. MB needs expertise and training. MB has inadequate information on the website and less operational reliability. I trust the ability of MB to protect my privacy. People who are important to me think that I should use MB facilities People who influence my behavior think I should use the MB. International Journal of e-Education, e-Business, e-Management and e-Learning, Vol. , No. 3, August 2011 VI. CONCLUSION The result of this study shows that perceived usefulness, perceived ease of use, subjective norm, consumer awareness and perceived risk are the important determinants of mobile banking adoption. This study meets the desired objective; but it suffers from one setback. Study concludes that majority of customers are accepting online banking because of many favorable factors. Analysis concluded that usefulness, ease of use, subjective norm, awareness and risks related to it are the main perusing factors to accept online banking system.

These factors have a strong and positive effect on customers to accept mobile banking system. The relatively small size of the sample limits generalization of the outcome of the study. The study is concentrated on a particular location and hence the result may vary with location and the demography of the people. Similar study can be conducted in other colleges and universities and results can be compared. REFERENCES [1] E. E. Ibrahim, M. Joseph, and K. I. N. Ibeh, “Customers’ Perception of Electronic Service Delivery in the Uk Retail Banking Sector,” International Journal of Bank Marketing, vol. 4, no. 7, pp. 475-493, 2006. H. H. Bauer, M. Hammerschmidt, and T. Falk, “Measuring the Quality of E-Banking Portals,” International Journal of Bank Marketing, vol. 23, no. 2, pp. 153-175, 2005. A. Parasuraman and G. M. Zinkhan, “Marketing To and Serving Customers through the Internet: An Overview and Research Agenda,” Academy of Marketing Science Journal, vol. 3, no. 4, pp. 286-295, 2002. S. J. Barnes and B. Corbitt, “Mobile Banking: Concept and Potential,” International Journal of Mobile Communications, vol. 1, no. 3, pp. 273-288, 2003.

T. Laukkanen and J. Lauronen, “Consumer Value Creation in Mobile Banking Services,” International Journal of Mobile Communications, vol. 3, no. 4, pp. 325-338, 2005. R. Clarke, “Roger Clarke’s ‘Research in e-Business’,” Roger Clarke’s Web-Site, 2001. [Online]. Available: [Accessed: http://www. rogerclarke. com/EC/EBR0106. html. 04-Apr-2010]. S. Barati and S. Mohammadi, “An Efficient Model to Improve Customer Acceptance of Mobile Banking,” in Proceedings of the World Congress on Engineering and Computer Science, San Francisco, CA, 2009, vol. . J. Peppard, “Customer Relationship Management (CRM) in Financial Services,” European Management Journal, vol. 18, no. 3, p. 312–327, 2000. S. Rotchanakitumnuai and M. Speece, “Corporate Customer Perspectives on Business Value of Thai Internet Banking,” Journal of Electronic Commerce Research, vol. 5, no. 4, pp. 270-286, 2004. G. Lee and H. Lin, “Customer Perceptions of E-Service Quality in Online Shopping,” International Journal of Retail & Distribution Management, vol. 33, no. 2, pp. 161-176, 2005. S. Gounaris, S. Dimitriadis, and V.

Stathakopoulos, “Antecedents of Perceived Quality in the Context Internet Retail Stores,” Journal of Marketing Management, vol. 21, no. 7-8, pp. 669-700, 2005. N. Mols, P. Bukh, and J. Neilsen, “Distribution Channel Strategies in Danish Retail Banking,” International Journal of Bank Marketing, vol. 27, no. 1, pp. 37-47, 1999. J. Sreenivasan and M. N. M. Noor, “A Conceptual Framework on Mobile Commerce Acceptance and Usage Among Malaysian Consumers: The Influence of Location, Privacy, Trust and Purchasing Power,” WSEAS Transactions on Information Science and Applications, vol. 7, no. 5, pp. 661-670, 2010. R. S.

Tiwari, Buse, and C. Herstatt, “Mobile Services in Banking Sector: The Role of Innovative Business Solutions in Generating Competitive Advantage,” presented at the International Research Conference on Quality, Innovation and Knowledge Management, 2007, pp. 886-894. [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] R. S. Tiwari and Buse, The Mobile Commerce Prospects: A Strategic Analysis of Opportunities in the Banking Sector. Hamberg University Press, 2007. [16] E. Scornavacca and S. J. Barnes, “M-Banking Services in Japan: A Strategic Perspective,” International Journal of Mobile Communications, vol. 2, no. , pp. 51-66, 2004. [17] U. Varshney and R. Vetter, “A Framework for the Emerging Mobile Commerce Applications,” presented at the 34th Annual Hawaii International Conference on System Sciences, Hawaii, US, 2004, p. 10. [18] Rotimi, Oludele, and Bamidele, “SMS Banking Services: A 21st Century Innovation in Banking Technology,” Journal of Issues in Informing Science and Information Technology, vol. 4, pp. 227-234, 2007. [19] S. J. Barnes, “Provision of Services Via the Wireless Application Protocol: A Strategic Perspective,” Electronic Markets, vol. 12, no. 1, pp. 14-21, 2002. [20] T. M. Qureshi, M. K. Zafar, and M. B.

Khan, “Customer Acceptance of Online Banking in Developing Economies,” Journal of Internet Banking and Commerce, vol. 13, no. 1, 2008. [21] S. Laforet and X. Li, “Consumers’ attitudes towards online and mobile banking in China,” International Journal of Bank Marketing, vol. 23, no. 5, pp. 362-380, 2005. [22] Benamati and Serva, “Trust and Distrust in Online Banking: Their Role in Developing Countries,” Information Technology for Development, vol. 13, no. 2, pp. 161-175, 2007. [23] M. K. Jane, J. M. Hogarth, and M. A. Hilgert, “The Adoption of Electronic Banking Technologies by US Consumers,” International Journal of Bank Marketing, vol. 2, no. 4, pp. 238-359, 2004. [24] L. J. Servon and R. Kaestner, “Consumer Financial Literacy and the Impact of Online Banking on the Financial Behavior of Lower-Income Bank Customers,” The Journal of Consumer Affairs, vol. 42, no. 2, pp. 271-395, 2008. [25] C. Kennington, J. Hill, and A. Rakowska, “Consumer Selection Criteria for Banks in Poland,” International Journal of Bank Marketing, vol. 14, pp. 12-21, 1996. [26] M. Zineldin, “Bank Strategic Positioning and Some Determinants of Bank Selection,” International Journal of Bank Marketing, vol. 14, 1996. [27] J.

Delvin, “Technology and Innovation in Retail Banking Distribution,” International Journal of Bank Marketing, vol. 13, pp. 19-25, 1995. [28] Z. Liao and M. T. Cheung, “Measuring Customer Satisfaction in Internet Banking; a Core Framework,” Communications of the ACM, vol. 51, no. 4, pp. 47-51, 2008. [29] Z. Liao and M. T. Cheung, “Internet-based E-Banking and Consumer Attitudes: An Empirical Study,” Information & Management, vol. 39, pp. 282-295, 2002. [30] M. Mavri and G. Ioannou, “Consumers’ Perspectives on Online Banking Services,” International Journal of Consumer Studies, vol. 30, no. , pp. 552-560, 2006. [31] W. -C. Poon, “Users’ Adoption of E-Banking Services: The Malaysian Perspective,” Journal of Business and Industrial Marketing, vol. 23, no. 1, pp. 59-69, 2008. [32] F. D. Davis, “Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology,” MIS Quarterly, pp. 319-340, 1989. [33] W. J. Doll, A. Henddrickson, and X. Deng, “Using Davis’s Perceived Usefulness and Ease of Use Instruments for Decision Making: A Confirmation and Multi-Group Invariance Analysis,” Decision Science, vol. 29, no. 4, pp. 839-869, 1998. [34] W. C. Chin and P. A.

Todd, “On the use, usefulness and ease of use of structural equation modeling in MIS research: A note of caution,” MIS Quarterly, vol. 19, no. 2, pp. 237-246, 1995. [35] A. H. Segars and V. Grover, “Re-Examining Perceived Ease of Use and Usefulness: A Confirmatory Factor Analysis,” MIS Quarterly, vol. 17, pp. 517-525, 1993. [36] D. Adams, R. R. Nelson, and P. A. Todd, “Perceived usefulness, ease of use and Usage of Information Technology: A replication,” MIS Quarterly, vol. 16, no. 2, pp. 227-248, 1992. [37] V. Venkatesh and F. D. Davis, “A Model of the Antecedents of Perceived Ease of Use: Development and Test,” Decision Sciences, vol. 7, no. 3, pp. 451-481, 1996. [38] W. Hong, J. Y. L. Thong, W. M. Wong, and K. Y. Tam, “Determinant of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics,” Journal of Management information Systems, vol. 18, no. 3, pp. 97-124, 2001. 232 International Journal of e-Education, e-Business, e-Management and e-Learning, Vol. 1, No. 3, August 2011 [39] P. Y. K. Chau, “Influence of Computer Attitude and Self-Efficacy on It Usage Behavior,” Journal of End User Computing, vol. 13, no. 1, pp. 26-33, 2001. [40] M.

Sathye, “Adoption of Internet banking by Australian consumers: an empirical investigation,” International Journal of Bank Marketing, vol. 17, no. 7, pp. 324-334, 1999. [41] E. M. Rogers and F. Shoemaker, Communications in Innovation. New York: Free Press, 1971. [42] V. -W. Mitchell, “Consumer perceived risk: conceptualizations and models,” European Journal of Marketing, vol. 33, no. 1/2, pp. 163-195, 1999. [43] P. A. Pavlou, “Consumer acceptance of electronic commerce: Integrating trust and risk with the Technology Acceptance Model,” International Journal of Electronic Commerce, vol. , no. 3, pp. 101-134, 2003. [44] z Belkhamza and S. A. Wafa, “The Effect of Perceived Risk on the Intention to Use E-commerce: The Case of Algeria,” Journal of Internet Banking and Commerce, vol. 14, no. 1, 2009. [45] L. F. Andrews and M. V. Boyle, “The influence of communication sources on perceived risk about purchasing online,” presented at the International Conference on Qualitative Research in IT & IT in Qualitative Research, Brisbane, Australia, 2004. [46] V. -W. Mitchell and M. Greatorex, “Risk perception and reduction in the purchase of consumer services. ” The Service Industries Journal, vol. 13, no. 4, pp. 179-200, 1993. [47] V. -W. Mitchell and M. Greatorex, “Perceived risk and risk reducing strategies across product classification,” Oxford, 1990. [48] V. N. Polatoglu and S. Ekin, “An Empirical Investigation of the Turkish Consumer’s Acceptance of Internet Banking Services,” International Journal of Bank Marketing, vol. 19, no. 4, pp. 156-165, 2001. [49] I. Ajzen, “From Intentions to Actions: A Theory of Planned Behavior. ,” in Action-Control: From Cognition to Behavior, J. Kuhl and J. Beckmann, Eds.

Heidelberg: Springer, 1985, p. 11–39. [50] M. Fishbein and I. Ajzen, Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison Wesley, Reading, MA, 1975. [51] V. Venkatesh and F. D. Davis, “A Theoretical Extension of the Technology Aceptance Model: Four Longitudinal Field Studies,” Management Science, vol. 46, no. 2, pp. 186-204, 2000. [52] J. F. Hair, R. E. Anderson, R. L. Tatham, and W. C. Black, Multivariate Data Analysis. Upper Saddle River,NJ: Prentice Hall, 1998. [53] J. C. Nunnally, Psychometric Theory. New York: McGraw-Hill, 1978. 233

Post Author: admin

Leave a Reply

Your email address will not be published. Required fields are marked *

x

Hi!
I'm Jessica!

Would you like to get a custom essay? How about receiving a customized one?

Check it out