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Journal ArticleDOI

Consumer acceptance of online banking: an extension of the technology acceptance model

01 Jul 2004-Internet Research (Emerald Group Publishing Limited)-Vol. 14, Iss: 3, pp 224-235
TL;DR: The findings of the study indicate that perceived usefulness and information on online banking on the Web site were the main factors influencing online‐banking acceptance.
Abstract: Advances in electronic banking technology have created novel ways of handling daily banking affairs, especially via the online banking channel. The acceptance of online banking services has been rapid in many parts of the world, and in the leading e‐banking countries the number of e‐banking contracts has exceeded 50 percent. Investigates online banking acceptance in the light of the traditional technology acceptance model (TAM), which is leveraged into the online environment. On the basis of a focus group interview with banking professionals, TAM literature and e‐banking studies, we develop a model indicating online‐banking acceptance among private banking customers in Finland. The model was tested with a survey sample (n=268). The findings of the study indicate that perceived usefulness and information on online banking on the Web site were the main factors influencing online‐banking acceptance.
Citations
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Journal ArticleDOI
TL;DR: This paper explores and integrates the various advantages of online banking to form a positive factor named perceived benefit and draws from perceived risk theory to propose a theoretical model to explain customers' intention to use online banking.

1,596 citations

Journal ArticleDOI
TL;DR: A conceptual model that combines unified theory of acceptance and use of technology (UTAUT) with perceived risk with respect to usage behaviour of Internet banking is developed and some relationships of UTAUT are supported.

1,010 citations

Journal ArticleDOI
01 Dec 2006
TL;DR: A theoretical model based on the Technology Acceptance Model with an added construct Perceived Web Security is developed and empirically tested its ability in predicting customers' behavioral intention of adopting IB, and its findings provide useful information for bank management in formulating IB marketing strategies.
Abstract: This study investigates how customers perceive and adopt internet banking (IB) in Hong Kong. We developed a theoretical model based on the Technology Acceptance Model (TAM) with an added construct Perceived Web Security, and empirically tested its ability in predicting customers' behavioral intention of adopting IB. We designed a questionnaire and used it to survey a randomly selected sample of customers of IB from the Yellow Pages, and obtained 203 usable responses. We analyzed the data using Structured Equation Modeling (SEM) to evaluate the strength of the hypothesized relationships, if any, among the constructs, which include Perceived Ease of Use and Perceived Web Security as independent variables, Perceived Usefulness and Attitude as intervening variables, and Intention to Use as the dependent variable. The results provide support of the extended TAM model and confirm its robustness in predicting customers' intention of adoption of IB. This study contributes to the literature by formulating and validating TAM to predict IB adoption, and its findings provide useful information for bank management in formulating IB marketing strategies.

714 citations


Cites result from "Consumer acceptance of online banki..."

  • ...Similar findings were obtained by Pikkarainen et al. (2004) and Chan and Lu (2004), who investigated acceptance of internet banking in Finland and Hong Kong, respectively....

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Journal ArticleDOI
TL;DR: This study found that self-efficiency was the strongest antecedent of perceived ease-of-use, which directly and indirectly affected behavioral intention through perceived usefulness in mobile banking.
Abstract: With the improvement of mobile technologies and devices, banking users are able to conduct banking services at anyplace and at anytime. Recently, many banks in the world have provided mobile access to financial information. The reason to understand what factors contribute to users' intention to use mobile banking is important issue of research. The purpose of this research is to examine and validate determinants of users' intention to mobile banking. This research used a structural equation modeling (SEM) to test the causalities in the proposed model. The results indicated strong support for the validity of proposed model with 72.2% of the variance in behavioral intention to mobile banking. This study found that self-efficiency was the strongest antecedent of perceived ease-of-use, which directly and indirectly affected behavioral intention through perceived usefulness in mobile banking. Structural assurances are the strongest antecedent of trust, which could increase behavioral intention of mobile banking. This research verified the effect of perceived usefulness, trust and perceived ease-of-use on behavioral intention in mobile banking. The results have several implications for mobile banking managers.

711 citations


Cites background or result from "Consumer acceptance of online banki..."

  • ...The results indicated that the integrated model is significantly higher than previous models (Gefen et al., 2003a; Moon & Kim, 2001; Ong et al., 2004; Pikkarainen et al., 2004; Teo et al., 1999; Venkatesh, 2000; Venkatesh & Davis, 1996)....

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  • ...(2003) 123 Users PU, PEOU Behavioral intention Computer self-efficacy Perceived Credibility Pikkarainen et al. (2004) 268 PU, PEOU Online banking use Perceived enjoyment Information on online banking Security and privacy...

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Journal ArticleDOI
TL;DR: In this article, the authors identify the factors that encourage customers to adopt online banking in Saudi Arabia, based on the technology acceptance model (TAM) and incorporated some extra important control variables.

604 citations


Cites background from "Consumer acceptance of online banki..."

  • ...(2003) Pikkarainen et al. (2004)...

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  • ...…of several research projects in the US (e.g. Lassar et al., 2005; Kolodinsky et al., 2004), throughout Europe (see Littler and Melanthiou, 2006; Pikkarainen et al., 2004; Howcroft et al., 2002; Karjaluoto et al., 2002; Daniel, 1999), Australasia (e.g. Lichtenstein and Williamson, 2006; Sathye,…...

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  • ..., 2004), throughout Europe (see Littler and Melanthiou, 2006; Pikkarainen et al., 2004; Howcroft et al., 2002; Karjaluoto et al., 2002; Daniel, 1999), Australasia (e....

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References
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Journal ArticleDOI
TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.

65,095 citations


"Consumer acceptance of online banki..." refers background in this paper

  • ...An important area is to look more deeply on marketing literature and test acceptance with for instance innovation theory and the TPB....

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  • ...Development of TRA started in 1950s and the first research concerning TRA was published in 1967 (Ajzen and Fishbein, 1980)....

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  • ...Since 1967 TRA has been developed, tested and used extensively and its extension, the theory of planned behaviour (TPB) (Ajzen, 1991) utilized widely....

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  • ...TAM has been tested in many studies (see, for example, Davis, 1989; Davis et al., 1989; Mathieson, 1991; Adams et al., 1992; Davis, 1993; Segars and Grover, 1993; Taylor and Todd, 1995), and it has been found that TAM’s ability to explain attitude toward using an information system is better than other model’s (TRA and TPB) (Mathieson, 1991)....

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01 Jan 1989
TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.

40,975 citations


"Consumer acceptance of online banki..." refers background or result in this paper

  • ...Davis defined PU as “the degree to which a person believes that using a particular system would enhance his or her job performance” ( Davis, 1989 )....

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  • ...PEOU is defined as “the degree to which a person believes that using a particular system would be free of effort” ( Davis, 1989 )....

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  • ...PEOU is defined as “the degree to which a person believes that using a particular system would be free of effort” (Davis, 1989)....

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  • ... Davis, 1989; Davis et al., 1989), which found that PEOU has less impact on technology acceptance than PU. This is explained with the fact that as users learn about PEOU, its impact becomes instrumental....

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  • ...It has been noted that users’ attitudes towards and acceptance of a new information system have a critical impact on successful information system adoption ( Davis, 1989; Venkatesh and Davis, 1996; Succi and Walter, 1999)....

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Journal ArticleDOI
TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
Abstract: Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions of these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with reliabilities of .98 for usefulness and .94 for ease of use. The scales exhibited hgih convergent, discriminant, and factorial validity. Perceived usefulness was significnatly correlated with both self-reported current usage r = .63, Study 1) and self-predicted future usage r = .85, Study 2). Perceived ease of use was also significantly correlated with current usage r = .45, Study 1) and future usage r = .59, Study 2). In both studies, usefulness had a signficnatly greater correaltion with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.

40,720 citations

Journal ArticleDOI
01 Jan 1973
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Abstract: Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussing techniques with flowcharts for each. Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis focuses on the fundamental concepts that affect the use of specific techniques rather than the mathematical derivation of the technique. Provides an overview of several techniques and approaches that are available to analysts today - e.g., data warehousing and data mining, neural networks and resampling/bootstrapping. Chapters are organized to provide a practical, logical progression of the phases of analysis and to group similar types of techniques applicable to most situations. Table of Contents 1. Introduction. I. PREPARING FOR A MULTIVARIATE ANALYSIS. 2. Examining Your Data. 3. Factor Analysis. II. DEPENDENCE TECHNIQUES. 4. Multiple Regression. 5. Multiple Discriminant Analysis and Logistic Regression. 6. Multivariate Analysis of Variance. 7. Conjoint Analysis. 8. Canonical Correlation Analysis. III. INTERDEPENDENCE TECHNIQUES. 9. Cluster Analysis. 10. Multidimensional Scaling. IV. ADVANCED AND EMERGING TECHNIQUES. 11. Structural Equation Modeling. 12. Emerging Techniques in Multivariate Analysis. Appendix A: Applications of Multivariate Data Analysis. Index.

37,124 citations

Book
01 Jun 1975

36,032 citations


"Consumer acceptance of online banki..." refers background in this paper

  • ...TRA is based on the assumption that consumers’ behave rationally and that they collect and evaluate systematically all of the available information....

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  • ...TAM is based on the theory of reasoned action (TRA) (Fishbein and Ajzen, 1975; Ajzen and Fishbein, 1980), which is concerned with the determinants of consciously intended behaviours (Ajzen and Fishbein, 1980; Davis et al., 1989)....

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  • ...TAM has been tested in many studies (see, for example, Davis, 1989; Davis et al., 1989; Mathieson, 1991; Adams et al., 1992; Davis, 1993; Segars and Grover, 1993; Taylor and Todd, 1995), and it has been found that TAM’s ability to explain attitude toward using an information system is better than other model’s (TRA and TPB) (Mathieson, 1991)....

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  • ...TRA has proven successful in predicting and explaining behaviour across a wide variety of domains....

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  • ...Since 1967 TRA has been developed, tested and used extensively and its extension, the theory of planned behaviour (TPB) (Ajzen, 1991) utilized widely....

    [...]