Design of intelligent database program for an interactive auto-responsive SMS-based opinion poll system using triggers and stored procedure

Adetiloye, Kehinde O.

doi:10.1109/ccece.2014.6900919

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…As the intermediary in this channel, the supporting role is played by mobile communication operators. This is purely a service delivery channel where service is provided through mobile communication networks to consumers who want to accept this mobile channel for their financial service (Adetiloye, 2014;Mishra & Singh, 2015;Shin et al, 2014). There are several other service delivery channels for the financial sector such as traditional physical teller service, Internet banking, telephone banking, and automated teller machines (ATMs) (Lee & Im, 2015).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Studies (e.g. Adetiloye, 2014;Daramola et al, 2014;Pousttchi & Schurig, 2004) have illustrated that consumer awareness for mobile banking is rooted in the appropriate design of the technology through the protection of security and privacy of consumers. However, the problem is, still the service providers of mobile banking such as financial institutions do not have comprehensive idea about consumers behavioral pattern to accept, use, and be satisfied with mobile banking (Maroofi & Nazaripour, 2013;McNeish, 2015;Mortimer et al, 2015;Wang et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Consumer adoption of mobile banking services: An empirical examination of factors according to adoption stages

Shareef

Baabdullah

Dutta

et al. 2018

Journal of Retailing and Consumer Services

192

106

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Many seminal studies have explored consumers' attitude and perception to adopt mobile banking as a general and unique service channel. However, no empirical studies have so far addressed consumers' intentions to select mobile banking service delivery channel from behavioral, technological, social, cultural, and organizational perspectives for the three distinct stages like static, interaction, and transaction service. This quantitative study investigates consumers' behavioral intentions to adopt mobile banking at the three distinct service stages. It is designed to examine this behavioral pattern based on the theoretical concept of GAM model. In this regard, an extensive empirical study was conducted among mobile banking service receivers in Bangladesh. The results reveal that driving factors of consumers' behavioral intentions to adopt mobile banking at the static, interaction, and transaction service phases are significantly different, providing important theoretical and practical contributions.

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