This study is based on Technology Acceptance Model (TAM). This model is a product of many fields like sociology, psychology, business and management information systems. Compared to other approaches, TAM was perceived the most productive approach for investigating IT acceptance and use (Ajzen & Fishbein, 1975 [2], 1980 [3] ). Glavee-Geo, Shaikh and Karjaluoto (2017) [4] mentioned how TAM has been widely used to explore user’s ability in accepting a technology.

The goal of TAM is to explain the factors that affect use of computer acceptance. Hence, the TAM consists of two main independent variables; perceived usefulness (PU) and perceived ease of use (PEOU). The TAM has been constructed to know about user’s adoption behaviors and attitudes and beliefs the users hold about certain technology (Venkatesh & Davis, 2000) [5]. Moving on to perceived usefulness, it reflects the degree to which the user realizes and believes that the new technology would help them in task performance (Davis, 1989) [6].

Legris, Ingham and Collerette (2003) [7], examined role of perceived ease of use and perceived usefulness in the use of technology. In order to provide a better explanation of user’s adoption intention and behavior, an extension of TAM may be made through perceived mobility, institutional support and self-efficacy. Many mobile banking adoption studies extended the original TAM with additional factors such as perceived risk, personal innovation, perceived cost of use to match lifestyle and perceived security (Meharad & Mohammadi, 2016) [8].

Sabri (2004) [9] and Yaseen (2005) [10] applied TAM in organizations in the Arab World and found them late adopters of Internet and applications. Although Internet usage has a high percentage, many IT studies show Arabs are still not accepting IT due to many cultural and economic reasons (Abu Shanab, 2010 [11]; Al Sukkar & Hasan, 2005 [12]; Akour, 2005 [13] ).

Mobile banking is a type of m-commerce (Mallat, Rossi, & Tuunainen, 2004) [14]. Donner and Tellez (2018) [15] mentioned that mobile banking has many terms such as m-payments, m-transfers and m-finance. Furthermore, mobile banking is one of the m-commerce applications that allow consumers to conduct banking services through mobile technology and products such as mobile phones, tablets, watches and other smart devices.

Mobile banking provides many services like using text in banking, accessing and doing banking transactions and services through mobile applications or bank websites. Mobile banking services were first launched in European countries in the 1990’s such as Germany, Spain, Sweden and United Kingdom. The first text-based mobile banking services were introduced in Kenya.

Mobile banking services is a part of m-commerce applications and a beneficiary of the growth of mobile technology. Use of mobile banking services is not limited to only enabling consumers to do the traditional banking transactions (i.e. transferring, checking balance, opening new account, etc.). It also enables consumers to do advanced transactions (i.e. trading stocks, depositing checks, etc.). Mobile banking has powerful features and advantages when compared to the traditional banking channels like ATMs and bank branches.

The increased use of smart technologies such as smart phones and tablets has led to the growth of mobile banking, thus providing personal experience of mobile banking services. These services include smart phones and applications that have benefitted banks in extending their reach. It also enhances customer experiences by providing services 24/7 and improving the operational efficiency by reducing customers’ waiting time at bank branches (Shaikh, 2013) [16].

Even though there are many benefits in adoption of mobile banking, usage of mobile banking is not as widespread. In a study, 50% of smart phone users stated that they had never used their mobile phone in conducting banking transactions. The reasons associated with non-adoption of mobile banking services might be related to security and privacy issues (Zhang, 2018) [17].

Perceived Usefulness (PU) is defined as the degree to which a person believes that using a system would enhance or increase his or her performance (Glavee-Geo, Shaikh & Karjaluoto, 2017) [4]. PU allows users to perform tasks faster and to increase work productivity, performance and efficiency (Davis, 1989) [6]. The amount of information individuals received from mobile banking is an important factor that influenced adoption of this service. Also, it refers to the benefits that allow users to decide whether to adopt mobile banking in their lives (Gandhi, 2017) [18]. Hence, PU is the belief that a user adopts new technology, if the user perceives it as useful (Premkumar, 2008) [19].

During the last few years, mobile banking services have been considered effective tools to conduct transactions online as compared to traditional offline transactions (Mortimer, 2015) [20]. Mobile banking offers consumers many facilities such as conducting transactions with faster speed, avoiding waiting times, access to services 24/7, information transparency, and convenience (Akturan & Tezcan, 2012 [21]; Riquelme & Rios, 2010 [22] ).

Based on the consumers’ use of technology, consumer attitude is based on whether mobile banking is secure or not (Federal Reserve System, 2012) [23]. Some users have a fear of using mobile phone for payments. This fear is due to the activity of hackers, fraud, theft and losing mobile phones that contain stored data (Gandhi, 2017) [18]. Bobbitt and Dabholkar (2001) [24] found that using phones, mail-order and internet for purchasing is riskier than using traditional brick and mortar.

Public relations deal with reviewing consumer behavior and attitude towards any service offered by systems such as online banking, mobile services, and mobile banking. It refers to two important elements which are security and privacy risk (Thakur & Srivastava, 2014) [25]. Security risk is referring to users’ perceptions about security of online environment in terms of payments, storing and transmission of information (Kolsaker & Payne, 2002) [26]. Furthermore, security risk is one of the technical aspects that ensure integrity, confidentiality and authentication (Flavian & Guinaliu, 2006) [27]. Many researchers stated that security is one of the main elements to study user attitude towards online banking (Shih, 2004 [28]; Cheng, 2006 [29]; Puschel, 2010 [30] ). Customers would increase their online purchasing when they feel that information on the credit card is safe (Thakur & Srivastava, 2014) [25].

Privacy risk refers to the chance where the online business environment utilizes user’s personal information inappropriately violating customer’s privacy (Nyshadham, 2000) [31]. According to Gerrad and Cunningham (2003) [32], customers are concerned that their profiles in banks might be shared with other banking companies and banking groups in order to sell other products.

Internet technology has pulled users to the social era (Bernoff & Li, 2008) [33], where every user can communicate and interact with unknown consumers (Cook, 2008) [34]. Acrand, Promtep, Brun, & Rajaobelina (2017) [35], defined sociality as the social benefits that come from communication with others like banking customers and employees through mobile phones and tablets. Sociality is a main element to deliver service quality and examining user attitude towards organizations that offer online services. Additionally, in mobile banking environments, sociality exists with banking representatives not with friends, and being connected with banking representatives that allows users to chat online at any time they may need (Nambisan & Watt, 2011) [36]. Moreover, some segments of online consumers seem to use interactive web-based features to communicate socially (Aljukhadar & Senecal, 2011) [37]. Hanafizadeh (2014) [38] established social interaction as a need to adopt many technologies like mobile banking services. By creating a forum of social platform for banks to provide customers access and facilitate customer interaction would help boost the relationship through delivering better benefits in a long-term relationship (Bauer, 2005) [39]. Also, it would enhance customer perception of website and online interaction (Cyr, 2007) [40].

Design aesthetics is defined as the service functions for customers in mobile device (Acrand et al., 2017) [35]. Design aesthetics have a direct relationship with mobile banking service quality. Website pages should effectively and adequately demonstrate page’s content and should be well laid out. Graphics should be well-balanced and carefully selected to attract user’s attention to a certain brand to enhance website design and performance (Rosen & Purinton, 2004 [41]; Hausman & Siepke, 2009 [42] ).

Content and design provide brand identification by influencing customer’s sense of aesthetics; sharing features of a brand. For example, consumers buy Apple Incorporated products which represent a lifestyle and simplicity (Acrand et al., 2017) [35].

Mobile commerce considers design and aesthetics as tools that influences user’s loyalty indirectly, as it affects user’s intention to adopt mobile services (Chung and Shin, 2010) [43]. Urban (2009) [44] noted that website design has a positive influence on online trust. Kim and Niehm (2009) [45] stated that there is a positive relationship between user’s satisfaction and website design.

The undergraduate students from the College of Social Sciences at KU participated in this study. Three-hundred students from information skills and scientific research (131) courses participated in the study.

The questionnaire was divided into three sections. The first section included demographic information for participants including gender and age. The second section consisted of close-ended questions inquiring if the participants had a banking account, and whether they used mobile banking application. The third section included questions that examined mobile banking adoption factors using Likert scale. TAM adoption statements were taken from a variety of resources as shown in Table 1.

The statements are primarily reflective of the two constructs of ease of use and usefulness.

The questionnaire was translated into Arabic language and a faculty member revised it.

Permission of faculty members was taken for visiting classes and getting their assistance in having the questionnaire answered by the students present in class. The participant students had enrolled in the course on information skills and scientific research (131) offered by the Department of Information Studies. Three-hundred usable responses were collected, keyed-in and analyzed.

The demographics information of participants is shown in Table 2. Participants

were divided for age and gender.

Out of 300 respondents who participated in the study, 172 (57.33%) were female and 128 (42.67%) were males. In terms of age, participants aged 18 or below were 13 (4.36%), and mostly the participants were aged between 19 - 24 (239, 80.2%), followed by 25 - 30 (9.40%), and 18 were 31 or above (6.04%). A typical student appeared to be in youthful age group.

Out of 300 respondents who participated in the study, 294 (98%) indicated that they had bank account. In Table 3, a breakdown of those participants is provided for having accounts in different banks.

It was found that out of 300 respondents, 126 were mobile users in Boubyan Bank, and 41 used Kuwait Finance House mobile applications, followed by 30 respondents who were National Bank of Kuwait mobile application users, and 4 used mobile applications of the Gulf Bank of Kuwait. Each of the four other banks had only one student user from amongst the participants. It is obvious that Boubyan bank had maximum number of users for its mobile applications.

Table 4 shows the participant responses by the following statements in descending order from the highest mean score to the lowest mean score. Standard deviation score were also given.

Four statements, receiving the highest mean scores, were related to the ease and satisfaction the participants experienced with the use of mobile applications. The mean scores fell in the close range of 4.41 - 4.68. These mean scores are quite high, indicative of a general sentiment of satisfaction these participants had with mobile applications.

One statement was about the use of the application of using pin codes, which is related to security of banking transactions. This statement received the mean score of 4.35. Two statements had about the same mean score as these were bracketed around 4.24 and 4.25. First statement was again about satisfaction of banking needs. The 2^nd statement was related to the aesthetics maintained in the design of mobile application. This is a vital dimension for which the participants felt that they were generally satisfied. Other three statements were also expressive of general satisfaction these participants with mobile banking.

Five statements received mean scores in the close range of 3.77 - 3.95. The one with sore of 3.95 was related to feeling of security the participants perceived

about their banking activities. The last statement in the table, having the lowest mean score of 2.28, was also about the same factor. Fewer participants rated the perception of I’m afraid that my personal information may get leaked when using mobile banking. It may be interpreted as if there prevailed a general perception of security when the participants were engaged in mobile banking.

Another mean score for adoption intention to use mobile for banking needs was 4.25. Another factor received a high mean score of 3.95 according to the statements that describe risk. The social impact factor received the mean score of 3.77 in relation to suggestions for using mobile banking