SMS Banking

2010 ◽  
Vol 2 (3) ◽  
pp. 19-43 ◽  
Author(s):  
Krassie Petrova ◽  
Shi Yu

Mobile banking is a mobile service that allows the user to perform banking transactions using a mobile handheld device and a mobile service known as short text messaging (SMS). Deploying an expanded Technology Acceptance Model (TAM), this study aims to identify the factors that influence the customer’s decision to use SMS banking. Findings from relevant literature and outcomes of the analysis of qualitative data were gathered through focus group discussions to build a model, and a survey was conducted to explore the model with respect to individuals’ behaviour when considering using SMS banking. Findings show that service quality, as well as the degree of customers’ awareness about the service, influence participants’ perceptions about the usefulness of SMS banking and their intentions to use and adopt the service in the future.

Author(s):  
Krassie Petrova ◽  
Shi Yu

Mobile banking is a mobile service that allows the user to perform banking transactions using a mobile handheld device and a mobile service known as short text messaging (SMS). Deploying an expanded Technology Acceptance Model (TAM), this study aims to identify the factors that influence the customer’s decision to use SMS banking. Findings from relevant literature and outcomes of the analysis of qualitative data were gathered through focus group discussions to build a model, and a survey was conducted to explore the model with respect to individuals’ behaviour when considering using SMS banking. Findings show that service quality, as well as the degree of customers’ awareness about the service, influence participants’ perceptions about the usefulness of SMS banking and their intentions to use and adopt the service in the future.


Author(s):  
Kadriye Burcu Öngen Bilir

This chapter aims to determine the variables that explain using mobile banking. This study identifies and investigates the factors that influence the adoption of mobile banking, and specifically focuses on the evaluation of mobile banking application with users or non-users. The research model includes the basic concepts of the technology acceptance model. The technology acceptance model (TAM) tries to explain the adoption process and underlying influencing factors in technology acceptance. The survey was conducted to gather data which was coded in SPSS 17. Confirmatory factor analysis was used to analyze data, and structural equation modeling using Amos 17 software was used to validate the research model. The result shows that perceived ease of use, perceived usefulness, and perceived normative pressure significantly influences customer attitude, which affects the adoption of mobile banking.


2021 ◽  
Vol 09 (01) ◽  
pp. 397-418
Author(s):  
Nalugoti Milly ◽  
Shoukui Xun ◽  
Megan Emfosi Meena ◽  
Benjamin Blandful Cobbinah

2015 ◽  
Vol 13 (1) ◽  
pp. 195-204
Author(s):  
Pinigas Mbengo ◽  
Maxwell A. Phiri

The purpose of this paper is to explore and discuss the determinants that inhibit mobile banking adoption by the rural unbanked in Zimbabwe. The researchers conducted an extensive literature search. The references consulted were categorically analysed and articles were considered to compile the findings of this paper. The study provides a contribution to practice by providing a better understanding of issues associated with mobile banking diffusion mechanisms that aid the adoption of mobile banking systems. The main findings of the research indicate that there is a slow and often annoying adoption of mobile banking within Zimbabwe by the rural unbanked due to a considerable number of inhibitive factors. This research reveals the nature of adoption that may reliably inform service providers about strategies to consider when appealing to this market segment. The study also shows that mobile banking adoption cannot ignore the use of marketing oriented factors in order to avoid the assumption of being myopic by considering only the product based variables to assess behavioural intention to adopt mobile banking services as identified in Technology Acceptance Model. However, the literature review also reveals that there are virtually no substantive theoretical researches which adequately extend the TAM using all the marketing mix elements. Therefore Technology Acceptance Model is extended using the marketing mix elements to better predict the behavioural intention to adopt mobile banking by the rural unbanked. This research, having studied the behaviour of the rural unbanked, argues that mobile banking service providers are likely to develop tailor-made integrated marketing mix strategies in order to financially include this market segment. The paper recommends for future research to use the additional marketing mix elements of physical evidence, processes and people in the adoption of mobile banking services by the rural unbanked.


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