Global Journal of Management and Business Research, A: Administration and Management, Volume 23 Issue 9
to wards using E-banking technologies are the likely reasons for poor E-banking adoption (Alalwan et al., 2017). In this research thesis, further exploring of these factors that influences’ E-banking service adoption in Economics leadership economics in bank context would be conducted. b) Statement of the Problem Even though modern technology-based banking service has offered many advantages over the traditional systems, E-banking usage in developing countries is very poor (Natasha, Faiza, Maryum, & Atta, 2014). ’intention to involve in and use of E-banking services in Economics leadership economics in bank is also very poor. Zeleke (2016) mentioned that Ethiopian Banks’ are not yet entertaining the benefits of E-banking technologies. Kindie (2016) also analyzed that of Economics leadership economics in bank pay no attention for its newly deployed E-banking services. Moreover, Muche (2017) strengthen the above idea by mentioning the stage of E-banking as infant in the Economics leadership economics in bank. Since the paradox between the availability of sophisticated E-banking systems and very poor adoption takes much attention, numbers of studies were conducted to improve the situation. For instance; a study conducted by Gemechu (2014) on adoption of E- banking in Ethiopia, found that security risk, lack of trust, lack of legal and regulatory framework, lack of ICT infrastructure and absence of competition between local and foreign banks as major barriers. On the other hand, from customer point of view, Tesfaye (2016) found perceived usefulness (PU) and Trust as most significant factors affecting’ intention towards using E-banking services while perceived ease of use (PEOU) and Subjective Norm (SN) negatively affect usage behavior in of Economics leadership economics in bank. Merga (2017) also indicated that performance expectancy (PE), effort expectancy (EE) and price value (PV) are major influencing factors of behavioral intention (BI) whereas social value (SV), facilitating conditions (FC) and hedonic motivation (HM) are insignificant on BI of for Mobile banking in CBE. On the other hand, Yohannes (2010) study on key factors of Internet banking adoption in Economics leadership economics in bank revealed that demographic factors including age, income and occupation status have a relationship with the adoption of internet banking. On contrary, Muche (2017) found that except for gender, the remaining demographic variables such as age, income, educational level and occupational status have no significant influence on users' E-banking usage behavior. However, most of these studies focus on one form of E-banking services like on ATM or Mobile banking independently. However, Lai (2007) suggested that E-banking technologies are highly interrelated to each other that require comprehensive study of technology adoption. Since ATM and Mobile banking are the most widely used E- banking services in Economics leadership economics in bank and Internet banking is the promising future prospect, comprehensive study of E-banking adoption that includes these three channels will help to have more general idea than study conducted independently. Furthermore, most previous researches done in Economics leadership economics in bank are focused separately on of a single branch. As a result, findings in regarding to E-banking adoption factors shows inconsistency that makes it difficult to generalize for all economics leadership. The findings of Tesfaye (2016) and Merga (2017) also revealed the above idea that different authors found different factors in similar topic. One reason for their different findings might be due to the nature of electronic channelthey focused or the behavior of specific economics leadership. Moreover, most of prior studies conducted to identify E-banking adoption factors focused on behavioral intention rather than measuring the actual use behavior. However, examining factors that influence the actual use behavior of E-banking along with factors that influence the’ behavioral intention will make the research more inclusive. To the researcher’s level of understanding on previous related works, no such study that analyze both the intention and actual use behavior of E-banking adoption by encompasses many alternative channels together among different economics leadership in Economics leadership economics in bank. In general, this research is aimed to further shed light on the E- banking adoption in Economics leadership economics in bank context and overcome previously mentioned problems by conducting comprehensive study of E- banking adoption factors among different bank economics leadership located in different areas of ECONOMICS LEADERSHIP. c) Research Hypothesis • H1: Technology has significant effect on users ‘adoption of E-banking services among Economics leadership economics inbank. • H2: Organizational factors have significant effect on users ‘adoption of E-banking services among Economics leadership economics inbank. • H3: Environment has significant effect on users ‘adoption of E-banking services among Economics leadership economics in bank • H4: Perceived usefulness has significant effect on users ‘adoption of E-banking services among Economics leadership economics in bank • H5: Political and legal issue has significant effect on users ‘adoption of E-banking services among Economics leadership economics inbank. Determinants of Electronic Banking Service Adoption the Case of Economic Leadership in Bank in Economics Leadership Global Journal of Management and Business Research ( A ) XXIII Issue IX Version I Year 2023 18 © 2023 Global Journals
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