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Human Resource Management Student, Lorestan University, Khorramabad, Iran


Master of Business Administration, Islamic Azad University, Neyshabour, Iran


Master of Industrial Management, Ferdowsi University, Mashhad, Iran


Human Resource Management Student, Lorestan University, Khorramabad, Iran

*Corresponding Author:
Human Resource Management Student, Lorestan University, Khorramabad, Iran, Tel: +989120370343 Email:

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The Internet Banking is the new method with significant growth in the banking industry because it offers better services to customers and the cost of providing services in banks has also been reduced. The purpose of this study is to investigate the relationships of adoption, satisfaction and Word of Mouth in the internet banking users in Iran. Data was collected by conducting a field survey questionnaire completed by 385 users of internet banking service of Iran's private banks. Structural equation modeling was used to analyze data and test research hypotheses. Findings indicated that Ease of use, Website content, Accessibility, Privacy, Transmission speed, and Security have positive effects on the Internet Banking Adoption. And Internet Banking Adoption leads to increased Satisfaction and Word of Mouth. Furthermore, research limitations and future directions have been discussed in the last section.


Internet Banking Adoption; Satisfaction; Word of Mouth; Service Quality


The Information Technology (IT) development has had a huge impact on all aspects of human life; and this revolution, which is based on the IT in the provision of bank services, has also made significant changes and allowed customers to use their time more efficiently [1,2] and thus customers are willing to adopt new service and products [3,4]. The IT development has created a framework for facilitating business and transaction affairs and led to the increased competition of companies and organizations. Due to the widespread presence of the Internet and the ever-increasing development of Internet-based technologies, Internet services have created new ways for financial institutions to provide financial products/services to customers in many developed and developing countries [5].

The internet banking adoption is about 97% in advanced countries such as the U.S, Germany and the United Kingdom [6-8]. In Iran, the rapid conduct of affairs and not wasting time is considered the most important elements of success in the competition of banks; and customers are the main pivotal determinants in this Competition and attach great importance to technology and speed, and then to the technical expertise of banks.

Over the past two decades, the number of banks has increased dramatically in Iran, so that 19 private banks and eight public banks are now operating (According to the Central Bank of Iran, 2018). This number of banks has increased the severity of competition in this market, and they are trying to use efficient methods to gain more market share and financial revenue. According to recent statistics, approximately 70% of Iranians use the Internet [9]. The latest World Bank statistics (2016), shows 53 percent (about 40 million people) of Iran's population uses the Internet banking services [10] which represents the potential market in this sector.

Various studies have done in different countries which is used the "Online Banking" and "Internet Banking" instead of each other [11], but there are differences between the Internet and electronic banking. Electronic banking covers a wider range including the mobile banking, internet banking, telephone banking, ATM, etc. Some researchers studied the Internet bank [11-14] and mobile banking [1,15-17] in order to examine factors leading to the adoption and intention to use the services. However, there is not any comprehensive research in Iran that simultaneously examines relationships of factors affecting the customer adoption and satisfaction and WOM in Internet Banking.

Theoretical Research Background

Internet Banking

Four electronic banking channels include the ATM, Telephone Bank, Internet Bank and Mobile Bank exist. Internet Bank is a channel allowing users to conduct a lot of financial and non-financial affairs through bank websites [18,19]. The first online banking service was provided by the Stanford Federal Credit Union in 1994. Since then, these services have been rapidly provided worldwide [20]. In brief, the Internet banking is a channel for providing banking services via the Internet [11]. In the Internet banking, banking and financial transactions are carried out via the Internet, but its type of network is different from other transactions. The Internet banking uses the Internet as a worldwide network. Internet Bank is a way of reducing the costs of service delivery and increasing sales of services, and it is now one of the most important factors in the business economy [21].

Internet Banking Satisfaction

Customer satisfaction is a tool for evaluating organizational activities from customers' perspectives and is obtained based on the customer experience of consuming products or receiving services [22]. Satisfaction is studied in various studies on the e-commerce and information system marketing, but it needs more investigation in the field of Internet banking and the results of customer satisfaction [20]. Oliver [23] defined the customer satisfaction as the customer feeling after purchases or the customer attitude toward a service or product [24]. The quality of provided services is closely related to the customer satisfaction [25] and customer trust and loyalty [26]. The customer satisfaction is more important in the financial and banking industry because the possibility of establishing long-term relationships with financial institutions and banks increases if customers have positive perceptions of services [27]. A great number of users use online banking across the world, and thus it is important to focus on the customer satisfaction [20].

Determinants of Internet Banking Adoption and Satisfaction

Accessibility: Accessibility is defined as users' abilities to obtain information and services from the web which include the content format; user hardware; software and settings; Internet connectivity; environmental conditions; and user abilities [28,29]. The term "web accessibility" generally means the use of web content in a way that users' abilities are maximized. For instance, providing text on a web page allows users with visual impairment to access information on a page by accessing a page reader [28-30].

Ease of use: Internet banking provides a higher degree of convenience for customers with its ease of use at any time and place. Apart from this advantage, the ease of access to computers is also a comparative advantage [31,32]. In terms of ease of use, Davis's technology acceptance model (1989) is a common model in which the perceived ease of use affects the users' attitudes and consequently their intention to use. Davis [33] defined the Ease of Use as the user expectation to use a system easily. Venkatesh et al. [34] also explained that the individuals' perceptions of the system usefulness are influenced by their understanding of the easy use of systems.

Privacy: Customers are skeptical about the bank's privacy policy [32]. Trust has a significant impact on the user willingness to conduct online financial transactions [35,36]. The privacy is an important dimension for people who intend to use electronic transaction systems. Encryption technology is a common privacy feature in banks and a combination of unique identifiers for online payments. Other security layers are also used for payment via online credit cards [37].

Security: Security can be guaranteed by providing and displaying a trusted logo from third parties [38]. In the Internet banking, all transactions are carried out on a secure bank server via the Internet. Banks have all the necessary data and software to conduct transactions. Customers visit bank websites, log into systems, and then use Internet banking services. Banking services include the access to accounts and checking them, transferring funds between accounts, paying bills, and all sorts of new services and products for which the security plays an important role, and thus there are several protocols for the security of encrypted data packets. Customers are unaware of encryption; and banks approve certain versions of Internet browsers in order to comply with security issues [39]. In fact, the security increases by components such as the compliance with national laws and regulations, using secure methods and appropriate technologies to keep the account information secure [40].

Web design: Web design aims to provide a suitable design to make a website attractive. Before designing a website, it is recommended conducting polls on users of different groups, providing new services and receiving the feedback. In fact, financial institutions should test the customer access to websites with both automatic and manual tools [41].

Website content: Pikkarainen et al. [42] stated that what banks provided on their websites was a factor influencing the Internet banking adoption. On the other hand, high-quality designs, graphics, colors and a good image of a bank should be considered in providing the useful content. The website content contains the text, visual or audio content that is a part of user experience on a website. Web content includes the text, image, audio, video and animation [43].

Transmission speed: The page loading speed depends on the nature of downloaded content from websites, computational hardware, and method of connection to download the information [44]. On most websites, sample small images are displayed and users should download them for a view. Most people think that downloading infects the system, the waste time during the internet exchange and thus users do not trust in the success of transactions [45]. Johnston [46] found that certain measures such as increasing the speed of information processing increase the sense of satisfaction in customers; however, operations such as increasing the trust in the equipment lead to the less dissatisfaction, and thus it is suggested considering the satisfaction deterrent factors more than the satisfaction increasing factors.

Charges: Service quality features are important in the Internet banking industry because people receive the most services via the Internet. Providing high-quality services to meet consumers' needs at lower costs is a competitive advantage in the Internet banking. Some studies indicate that the Internet banking leads to lower administrative costs [47]. Cost savings have made internet banking less costly in return for providing services for customers than the traditional banking [45].

Customer Support Services: Joseph et al. [48] defined the customer support services as the ability to provide feedback on problems with purchased goods and services, or the purchasing process itself as well as the ability to solve customer problems and concerns. Customer support services can be thus considered as a dimension of service quality [48].

Word of mouth: Brown et al. [49] argued that the Word of Mouth (WOM) was the enforcement of power on people in order to encourage them to judge goods and services and share their experiences with others. This advisory relationship plays an important role in creating the consumer behavior and attitude [49]. WOM communication is commonly used in marketing to offer suggestions to consumers. The speed and lack of business bias towards a particular service have made it an effective source of information for customer choices [50]. WOM can be positive or negative. Positive WOM includes good recommendations to people about products, services, or brands, but negative Word of Mouth is considered as a form of consumer complaints including negative recommendations to people about products, services and brands [51]. Payne [52] argued that the WOM was the outcome and basis of customer retention, and loyal customers were more likely to have positive WOM communication, and they acted as brand advocates for a company.

Despite the importance and influence of WOM communication in customers' commercial choices, a small percentage of these communications are encouraged by promotional efforts of service companies. Researchers believe that the impact of WOM on the customer buying behavior is greater than their controlled sources [53]. WOM is a communication about goods and services between people who do not seem to be dependant on a company that manufactures goods or services. This communication may include face-to-face conversations, either by telephone, email, mobile, or other communication channels [54].

Empirical Research

Ainscough et al. [55] argued that how customers communicate was an important criterion leading to the attraction of users to electronic banking. Yang and Jun [56] considered seven dimensions namely the Reliability, Accessibility, Ease of use, Customization, Security, Validity and Accountability for online service dimensions in redefining dimensions of traditional service quality. Joseph et al. [57] considered dimensions namely the Management of feedback, Efficiency, Accessibility and Customization for banking service quality according to their types of technology (ATM, telephone banks and internet banks). Johnston [46] found that factors such as the Attention, Accountability, Care and Intimacy led to the Satisfaction; and the lack of factors such as the Integrity, Reliability, Accountability, Accessibility, and Performance led to the Dissatisfaction.

Zeithaml et al. [58] measured the quality of electronic services according to eleven dimensions namely the Accessibility; Ease of Navigation; Productivity; Flexibility; Reliability; Customization; Privacy; Accountability; Assurance/trust; Site aesthetics; and Knowledge value. Zavareh et al. [59] concluded that the Security, Website aesthetics and the Ease of use of internet banking services had positive effects on the customer satisfaction.

Gerrard et al. [32] also considered the ability to innovate for fulfilling users' needs in using various features of websites as an important factor in ensuring the success of electronic banking. For instance, providing loans for users, a currency converter, and the mortgage loan calculations on bank websites attract the individual attention. A research in the UK listed five key features namely the Security, Ease of use, Speed and timeliness of services, and diversification of products/ features for the service quality [21,60] confirmed the positive impact of transmission speed, accessibility, ease of use, security, privacy, web design, website content and lower charges on the internet banking adoption.

Doll et al. [61] found that five dimensions namely the content quality, accuracy, format, ease of use, and timeliness had a positive impact on user satisfaction in an online space. Jun et al. [62] considered reliable and fast responses and the ease of use as two dimensions of the service quality affecting the satisfaction. Jun et al. and Liao et al. [63] studied the impact of service quality on the customer satisfaction in online banking and found that the quality of support services had a positive impact on the customer satisfaction. Hoffman et al. [64] also found that there was a significant correlation between download speeds and user satisfaction. Jayawardhena et al. [44] found that website features such as speed, website content and design, navigation, interaction, and security made users satisfied. Yang et al. [65] also indicated that the ease of use and usefulness were important factors in evaluating the quality of online services. Parasuraman et al. [66] considered the privacy/security, information content and website accessibility, design, ease of use, and the reliability/realization as dimensions of electronic service quality. Pikkarainen et al. [67] also outlined the ease of use, accuracy, and content as determinants of the customer satisfaction. Investigating the internet banking customers in Pakistan, Raza et al. [68] found that positive and significant relationships of reliability, tangibility, trust and responsiveness with the customer satisfaction. Ayo et al. [69] considered the reliability, accountability, competence, system accessibility, service portfolio, security and privacy as electronic service quality dimensions with a positive impact on e-banking customers' attitudes and satisfaction. Patel et al. [70] confirmed a positive relationship between the perceived ease of use, perceived usefulness, and security on Internet banking customers' behavioral intention in India.

Ahmad and Al-Zu’bi [21] studied relationships of more variables. Ahmad et al. [21] studied determinants of the Internet banking adoption and its relationship with user satisfaction and WOM. Yoon [20] also investigated factors affecting the internet banking satisfaction. Figure 1 shows the theoretical model of research.


Figure 1: A theoretical model.

Hypothesis 1: Web design has a significant effect on the Internet banking adoption.

Hypothesis 2: Ease of use has a significant effect on the Internet banking adoption.

Hypothesis 3: Website content significant effect on the Internet banking adoption.

Hypothesis 4: Charge has a significant effect on the Internet banking adoption.

Hypothesis 5: Accessibility has a significant effect on the Internet banking adoption.

Hypothesis 6: Users' privacy has a significant effect on the Internet banking adoption.

Hypothesis 7: Transmission speed has a significant effect on the Internet banking adoption.

Hypothesis 8: Security has a significant on the Internet banking adoption.

Hypothesis 9: Ease of use has a significant effect on the customer satisfaction.

Hypothesis 10: Web design has a significant effect on the customer satisfaction.

Hypothesis 11: Transmission speed has a significant effect on the customer satisfaction.

Hypothesis 12: Security has a significant on the customer satisfaction.

Hypothesis 13: Customer support service has a significant effect on the customer satisfaction.

Hypothesis 14: Internet banking adoption has a significant effect on the customer satisfaction.

Hypothesis 15: Customer satisfaction has a significant effect on the WOM.


A questionnaire was used to collect data, and it was prepared after investigating related papers. The questionnaire consisted of two sections: the first section questioned the demographic information, and the second section included research questions that were evaluated by a 5-point Likert scale ranging from score 1 (strongly disagree) to 5 (strongly agree). The statistical population of research consisted of all Internet Banking customers in Iran's private banks. The research questionnaires were first collected by emails, and thus 850 emails were sent to Internet Banking customers. A total of 132 emails were answered, of which 105 were acceptable. At the second stage, the research questionnaires were distributed through branches of banks in Tehran. Therefore, customers were asked to respond to the research questionnaire if they used Internet banking services. 395 questionnaires were finally analyzed given that Roscoe [71] reported the suitable number of sample members for the data analysis from 300 to 500. In this research, SPSS22, LISREL and Smart PLS softwares were used for the data analysis; and the Structural Equation Modeling (SEM) was used to test hypotheses and model fit. SEM is a very general and powerful technique from the multivariate regression family which allows the extension of a general linear model, and simultaneously tests a set of regression equations. This model is a comprehensive approach for testing hypotheses about relationships of observed and latent variables.

Data Analysis

To recognize the nature of the study population and to become familiar with the research variables, it was necessary to describe the data prior to their analysis. The findings revealed that a total number 278 men (79.4%) and 117 women (29.6%) had participated in this study. Other results related to the demographic characteristics information were illustrated in Table 1.

Table 1: Descriptive statistics of the study.

Variable Domain Number Percentage
Gender Male 278 70.4
Female 117 29.6
Age Less than 25 years old 108 27.3
Between 26 and 30 years 104 23.7
between 31 and 35 years 86 21.7
more than 36 years 107 27.3
Degree of education Diploma and less 97 24.5
Associate Degree 89 22.5
Bachelor 143 36.2
Associate Degree and higher 66 17.8
The use of Internet banking services Less than 10 times in the last 6 months 75 18.9
Between 11 and 20 times in the last 6 months 184 46.5
Between 21 and 30 times in the last 6 months 98 24.8
More than 30 times in the last 6 months 22 5.5
cannot recall 16 4.3
Total 385 100

Reliability and Validity of the Measurement Instrument

In order to determine the reliability of the research instrument, internal consistency was used as one of the most commonly used methods for evaluating the reliability of measurement models. It should be noted that internal consistency analysis follows the proposed method for the comparison of three consistency indices (composite reliability, Cronbach’s Alpha, and average variance extracted (AVE) considering the critical value by Bagozzi et al. [72] The indices of internal consistency coefficients were shown in Table 2. All the composite reliability coefficients included more than the critical level of 0.7 [73] and all the Cronbach’s Alpha coefficients had more than 0.7 of it. As a result, it was concluded that the reliability of the measurement models was at an acceptable level.

Table 2: AVE and reliability of the questionnaire components.

Variable Source AVE Composite Reliability (CR) Cronbach’s alpha
Web Design (WD) Yoon et al. [74];
Aladwani et al. [75]
0.885 0.958 0.935
Ease of use (EU) Yoon at al. [74] 0.847 0.943 0.91
Website Content (WC) Yoon et al. [74];
Aladwani et al. [75]
0.909 0.967 0.949
Charges (CH) Ahmad  and Al-Zu’bi [21] 0.905 0.9822 0.979
Accessibility (AC) Ahmad  and Al-Zu’bi [21] 0.859 0.968 0.952
Privacy (PR) Ahmad  and Al-Zu’bi [21] 0.9 0.964 0.944
Transmission Speed (TS) Yoon et al. [74];
Aladwani et al. [75]
0.85 0.944 0.911
Security (SE) Suh et al. [76];
Yoon et al. [74]
0.901 0.964 0.945
Customer Support Services (CS) Joseph et al. [77] 0.867 0.951 0.923
Internet Banking Adoption (IB) Ahmad  and Al-Zu’bi [21] 0.892 0.961 0.94
Customer Satisfaction (SA) Rod et al. [78] 0.928 0.975 0.961
Word Of Mouth (WOM) Ahmad  and Al-Zu’bi [21] 0.839 0.912 0.809

The validity of the measurement instrument was also measured through convergent and divergent validity. It should be noted that evaluation of validity was associated with measuring the ability of the models in order to measure the phenomenon. A powerful way to do this was to check the construct validity via the assessment of convergent and divergent validity of measurement models. The Fornell-Larcker criterion [78,79] for convergent validity is its increased AVE from 0.5, this means that a latent variable can on average account for more than half of the dispersion of its agents. The calculated values of the variables were presented in Table 2. The AVE values could also indicate the convergent validity of the research variables. As well, divergent validity is a complementary concept for which two criteria have been proposed within the Partial Least Squares (PLS). Fornell-Larcker criterion and transverse load testing. According to Fornell-Larcker criterion, a variable should be endowed with more dispersion compared to the agents of other latent variables. Statistically, the AVE of each variable must be greater than the maximum second-order correlation of that variable with other latent variables. Fornell-Larcker criterion evaluates the differential validity at the level of a construct. According to this criterion, the AVE of each variable must be greater than the maximum second-order correlation of that variable with other variables or the squared AVE needs to be lower than the correlation value of the variables. Given the results presented in Table 2, the divergent validity of the research variables was confirmed. The results indicated the acceptable reliability and validity of the measurement instrument (questionnaire). The research hypotheses were investigated through SEM in the next section.

The results of confirmatory factor analysis of all the variables in the present study showed that all the measurement models were fit and all the values and parameters of the model were significant (Table 3). The AVE values in Table 2 were reported higher than 0.5 and also composite reliability (all higher than 0.7) indicated that the measurement model of all the study variables were endowed with a good fit and the convergent validity of the indicators oriented to research variables was at a relatively high level. To test the research hypotheses,

Table 3: Confirmatory factor analysis.

Variable Item Standard coefficient Significance value (T-value)
Web Design WD1 0.9 25.8
WD2 0.91 26.32
WD3 0.93 27.13
Ease of Use EU1 0.88 24.73
EU2 0.89 25.13
EU3 0.86 23.96
Website Content WC1 0.92 27.23
WC2 0.96 29.46
WC3 0.9 26.23
Charges CH1 0.94 28.05
CH2 0.94 28.39
CH3 0.93 28.02
CH4 0.96 29.22
CH5 0.93 27.78
CH6 0.95 28.91
Accessibility AC1 0.89 25.86
AC2 0.92 27.15
AC3 0.90 26.23
AC4 0.92 27.00
AC5 0.91 26.24
Privacy PR1 0.94 28.12
PR2 0.88 25.13
PR3 0.95 28.66
Transmission Speed TS1 0.90 25.75
TS2 0.92 26.88
TS3 0.82 22.33
Security SE1 0.91 26.39
SE2 0.93 28.59
SE3 0.91 26.64
Customer Support Sevices CS1 0.91 26.31
CS2 0.95 28.1
CS3 0.85 22.08
Internet Banking Adoption IB1 0.93 27.28
IB2 0.93 27.45
IB3 0.89 25.46
Customer Satisfaction SA1 0.93 27.75
SA2 0.97 30.01
SA3 0.93 27.77
WOM WOM1 0.83 13.33
WOM2 0.82 13.2

SEM and LISREL Software (path analysis) were used. The correlation analysis and the divergent validity of the research variables were presented in the general model.
According to the results illustrated in Table 4, there was a mutually positive and significant relationship between all the research variables. The AVE values also indicated convergent validity of the research variables. Moreover, the divergent validity of the variables was approved. Statistically, the mean root of the AVE for each latent variable had to be higher than the strongest correlation of that variable with other latent variables.

Table 4: Pearson’s correlation coefficient investigating the relationship between research variables.

AC .926                      
CH -.136 .951                    
CS .586 -.594 .931                  
EU .655 -.595 .581 .92                
IB .668 -.635 .535 .62 .944              
PR .684 -.627 .619 .612 .654 .948            
SA .691 -.640 .631 .647 .659 .728 .963          
SE .715 -.61 .558 .631 .704 .691 .682 .949        
TS .686 -.639 .594 .641 .652 .728 .696 .7065 .921      
WC .681 -.63 .539 .623 .688 .663 .715 .7205 .708 .953    
WD .674 -.635 .541 .614 .622 .604 .645 .707 .644 .669 .94  
WOM .212 -.229 .226 .24 .275 .254 .271 .202 .247 .214 .205 .915

Investigating Fit Indices of the Model

Before testing the hypotheses by the given model, the eight commonly used indices along with the acceptable value of each index suggested in previous studies were used in order to examine the fit of the conceptual model [80]. It should be noted that fit indices could show the fit degree of the conceptual model in this research in terms of measuring the statistical population; in other words, such indices could indicate how much the collected data had supported the research model. Moreover, parameters affecting these indices were different; for example, some of them were highly sensitive to sample size. Therefore, all the indices need to be considered to determine the fit of the model and thus low fit indices of a model in one or more cases would not mean the model was not fit. According to Table 5, it could be concluded that the conceptual model of the present study fitted the data collected.

Table 5: Fit indices of the research model.

Reliable value Source Model statistic Fit index Desirability
<5   2.57 X2/df Confirmed
<0.08 Joreskong et al. [81] 0.056 RMSEA1 Confirmed
<0.08 Bentler [82] 0.03 RMR2 Confirmed
>0.80 Fornell et al. [83] 0.99 NFI3 Confirmed
>0.80 Bagozzi et al. [84] 0.99 NNFI4 Confirmed
>0.80 Joreskong et al. [81] 0.99 CFI5 Confirmed
>0.80 Bagozzi et al. [84] 0.85 GFI Confirmed
>0.80 Etezadi-Amoli et al. [85] 0.82 AGFI confirmed

SEM (Structural Equation Modeling)

A type of relationship between latent variables in structural equation models is a
direct effect one. In this respect, the structural model examines the relationship
between latent exogenous and endogenous variables. In the following model; online
customer services, fulfillment, and functionality are considered as latent, exogenous,
and independent variables. As well, brand awareness, loyalty, value, and trust are
taken into account as latent endogenous and mediating variables. Moreover, brand
equity is defined as a latent, endogenous, and dependent variable (Figures 2 and 3).


Figure 2: Examination of the main model considering standard coefficients.


Figure 3: Examining the main model in T-value.

As follows, the statistical results of testing the research hypotheses were illustrated
in Table 6. In this study, 15 hypotheses were investigated.

Table 6: Investigating the relationships using LISREL Software.

Hypothesis Standardized Beta coefficient T-Value   Result
Web design has a significant effect on the Internet banking adoption. -0.00 -0.09   Rejected
Ease of use has a significant effect on the Internet banking adoption . 0.13 2.35*   Confirmed
Website content has a significant effect on the Internet banking adoption . 0.2 3.64**   Confirmed
Charges have significant effects on the Internet banking adoption . -0.15 -3.45**   Confirmed
Accessibility has a significant effect on the Internet banking adoption . 0.11 2.02*   Confirmed
Users' privacy has a significant effect on the Internet banking adoption . 0.11 2.05*   Confirmed
Transmission speed has a positive and significant effect on the Internet banking adoption . -0.01 -0.11   Rejected
Security has a significant effect on the Internet banking adoption . 0.13 4.15**   Confirmed
Ease of use has a significant effect on the customer satisfaction . 0.1 2.07*   Confirmed
Web design has a significant effect on the customer satisfaction . 0.16 3.35**   Confirmed
Transmission speed has a significant effect on the customer satisfaction . 0.27 4.99**   Confirmed
Security has a significant effect on the customer satisfaction . 0.12 2.05*   Confirmed
Customer support services has a significant effects on the customer satisfaction 0.18 4.45**   Confirmed
Internet banking adoption has a significant effect on the customer satisfaction 0.14 2.84**   Confirmed
Customer satisfaction has a significant effect on the WOM. 0.31 6.04**   Confirmed

Conclusion, Implications, Research Limitations

A great number of studies have been conducted on the Internet banking. The present study aimed to provide a comprehensive model that examined determinants of user adoption and satisfaction as well as the impact on the positive WOM. According to research results, all hypotheses were confirmed except for two hypotheses (effects of transmission speed and web design on the customer adoption).

According to the present research, the web design has a positive effect on the user satisfaction. Result of this hypothesis was consistent with studies by Yoon [20], Zavareh et al. [59] and Jiang et al. [38]. The positive effect of ease of use on the Internet banking satisfaction and adoption is also confirmed in studies by Saghafi et al. [86], Sinha et al. [87], Ling et al. [88], Serener [89], Boateng et al. [13], Momeni et al. [90], Bagheri et al. [91], Yoon [20], Ahmad and Al-Zu’bi [21], and Sikdar et al. [92]. The confirmation of positive and significant effect of website content on the user adoption and satisfaction is consistent with results of research by Ling et al [88], Momeni et al. [90], Yoon [20], and Ahmad and Al-Zu’bi [21]. The positive and significant effect of accessibility and privacy on the adoption is consistent with studies by Ahmad and Al-Zu’bi [21]. Sikdar et al. [92] also approved the positive and significant effect of accessibility on the satisfaction. It is found that the transmission speed has a positive and significant effect on the adoption and satisfaction, and this result is consistent with results of research by Ling et al. [88], Momeni et al. [90], and Yoon [20]. There is a positive effect of security on the Internet banking adoption and satisfaction, and this is consistent with studies by Ling et al. [88], Sinha et al. [87], Ahmad and Al-Zu’bi [21], Yoon [20] and Momeni et al. [90]. According to research, the users' Internet banking adoption has a positive effect on their satisfaction; and this hypothesis is confirmed by Ahmad and Al-Zu’bi [21]. It is confirmed that providing customer support services increased users' satisfaction. Given that the virtual communication is conducted on online spaces, providing support services is more important than the traditional banking. This result is consistent with studies by Yoon [20] and Momeni et al. [90].

The present research is useful in both theoretical and applied aspects. A great number of studies have been theoretically conducted by researchers, and most of them have examined factors that lead to the customer adoption, satisfaction or loyalty, while this research simultaneously examined effective factors (by examining significant effects of web design, ease of use, website content, charges, accessibility, privacy, transmission speed and security as the factors contributing to the service quality) on the user adoption, satisfaction and WOM. The research sought to provide a more comprehensive model increasing the richness of literature on the Internet banking. The present research has applied results giving managers a more comprehensive view. In this study, it was found that factors, which first led to the Internet banking adoption, led to the increased user satisfaction and ultimately a positive Word of Mouth for banks in the case of continued provision of high-quality services. This method is more effective than other traditional advertising methods and can provide a wider view for banking managers and internet banking decision makers in different banks and provide clearer goals and more effective strategies to achieve desired goals. Obtained results from this research are also helpful for government officials as they can expand or downgrade the internet banking by enforcing laws. For instance, these laws can be about the way of getting bank charges from users, the security, user privacy, etc.

There are limitations on the management research and the study on the consumer behavior (Internet banking users in the present research). The present study is conducted only in Iran, and thus it should be examined in other countries (including developed countries) for higher reliability because cultural differences affect the consumer behavior. So it cannot be generalized to other countries. The research is also cross-sectional, and thus the validity of its results reduces over time. It studied only the impact of satisfaction on WOM, and thus other researchers can investigate other dimensions of customer loyalty.


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