Examine Website Quality on M-Banking Services Adoption in Bangladesh

Abstract

Mobile banking allows consumers to operate their banking activities through their mobile device, tab, notepad, etc. Now a day's m-banking service is considered one of the easiest and convenient ways for any kind of financial transaction. More ever, in the Bangladesh popularity of m-banking service increased day by day. But very few research conducted user acceptance of m-banking service in Bangladesh, especially the impact of web side quality on customer acceptance preference. For that reason, we proposed the extended unified theory of acceptance and use of technology(UTAUT2) model with the website quality to examine the influences of m-banking services adoption in Bangladesh. In this study data have been collected by questionnaire survey and the respondents were the m-banking users.This paper analyzed by applying partial least squares (PLS) based on 115 samples to test the conceptual model propose. Again, to determine the path significant levelthe bootstrapping method used with 300 resamples.The study found that social influence; facilitating conditions were the most significant antecedents of behavior intention and usage behavior. However, the results also confirm that website quality has no significant influence of the adoption of the m-banking services and the findings of this paper helps Bangladeshi Governments and private banks take proper initiative to emphasis on this specific areas to motivate the Bangladeshi customers to adopt more m-banking services.

The effect of UTAUT2 moderator factors on citizens’ intention to adopt e-government: the case of two SADC countries

“…For this reason, the UTAUT2 model, as outlined in Figure 1 was chosen in this study to assess the relevance and effect of five moderator variables (age, gender, level of education, location of citizen's residence, and vernacular language options on e-government websites) on citizens' behavioral intention to adopt e-government services. Furthermore, the UTAUT2 is the most comprehensive model (Tavares, and Oliveira, 2016;Mahfuz, Khanam, and Hu, 2016) that has been extensively used in many contemporary empirical studies on ICT adoption and utilization (Al-Mamary, Alnashmi, Hassan and Shamsuddin, 2016; Venkatesh and Bala, 2008) -hence the same reason for the researchers to adopt it in this study. Moreover, in the context of the SADC region, specifically focusing on the Zimbabwean and Zambian case, the researcher found that empirical research on egovernment adoption and utilization using the UTAUT2 model are lacking (with the exception of Bwalya and Healy, 2010).…”

Integrating trust with extended UTAUT model: a study on Islamic banking customers’ m-banking adoption in the Maldives

“…However, studies conducted by Owusu Kwateng et al (2019) and Merhi et al (2019) reported that SI is insignificant in determining users' BI to adopt m-banking services. On the contrary, multiple studies have highlighted the significance of SI on BI to adopt m-banking technologies (Mahfuz et al, 2016;Farzin et al, 2021;Chen et al, 2021;Penney et al, 2021;Thaker et al, 2021). Considering the aforementioned differences in opinion, this study proposes the following hypothesis:…”

“…In addition, Owusu Kwateng et al (2019) validated EE as a strong precursor of BI to adopt m-banking services in their study conducted in Ghana. However, Mahfuz et al (2016) report contradictory results in the context of Bangladesh. Given this scenario, the present study anticipated a significant and positive effect of EE on BI:…”

“…HBT is one of the most important additions to the UTAUT2 model (Tamilmani et al, 2019) and has been proven to be a significant construct determining the BI and AU of consumers in adopting mbanking services (Farzin et al, 2021;Ferreira Barbosa et al, 2021;Owusu Kwateng et al, 2019;Merhi et al, 2019;Riza, 2021). HBT has been reported as an insignificant driver of BI by Mahfuz et al (2016) (2019). It is dubious that HBT will be significant in determining the BI of new users to adopt a particular technology (Tseng et al, 2019).…”

Applying Important-Performance Analysis to Home Stay Service Performance

“…Regarding the relevant indices [9,10,[12][13][14][15][16], and according to IPA analysis, if the service item belongs to Quadrant I (Keep Up the Good Work), it means that consumers' expectation and satisfaction for this service is high, and the operator of this service item should 「 keep up the good work」in future management; if the service item belongs to Quadrant II (Possible Overkill), it means that consumers' expectation for this service is low but their satisfaction is high. This service item can meet the demands of consumers, but「over-supplied」, the operator should make adjustments according to the situation in future management; if the service item belongs to Quadrant III (Low Priority), it means that consumers' expectation and satisfaction for this service is low, and operators may give 「 low priority」to this service item during management improvement; If the service item belongs to Quadrant IV (Concentrate Here), it means that the consumers' expectation for this service is high, but satisfaction is low, and operatorsshould「strengthen the improvement of」this service item immediately; Figure 1.…”