scholarly journals Consumers’ Behavioural Intention to Adopt Mobile Banking in Rural Sub-Saharan Africa Using an Extension of Technology Acceptance Model: Lessons from Zimbabwe

2019 ◽  
Vol 6 (6) ◽  
pp. 316-334
Author(s):  
Joe Muzurura ◽  
Farai Chigora
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioural Intention ◽  
Sub Saharan Africa ◽  
Mobile Banking ◽  
Intention To Adopt ◽  
Sub Saharan ◽  
Acceptance Model

scholarly journals Mobile banking adoption: a rural Zimbabwean marketing perspective

2015 ◽  
Vol 13 (1) ◽  
pp. 195-204
Author(s):  
Pinigas Mbengo ◽  
Maxwell A. Phiri
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Service Providers ◽  
Marketing Mix ◽  
Behavioural Intention ◽  
Mobile Banking ◽  
Market Segment ◽  
Banking Services ◽  
Intention To Adopt ◽  
Acceptance Model

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.

Behavioural Intention to the Use of Mobile Banking in Kerala: An Application of Extended Classical Technology Acceptance Model

Metamorphosis ◽  
2018 ◽  
Vol 17 (2) ◽  
pp. 111-119 ◽  
Author(s):  
T. G. Saji ◽  
Deepa Paul
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Technology ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Equation Modeling ◽  
Extended Model ◽  
Mobile Banking ◽  
Acceptance Model

This research, using an extended version of classical technology acceptance model (TAM), investigates the factors influencing the adoption behaviour of mobile technology in banking. Survey data on 214 banking customers in Kerala were analysed under a structural equation modeling (SEM) framework and the results confirm the usefulness of TAM in predicting mobile banking adoption behaviour. The exogenous constructs from the original TAM, perceived usefulness (PU), and perceived ease of use (PEU) along with two additional constructs in the extended model, perceived credibility (PC) and perceived self-efficacy (PSE), emerged out as significant antecedents of the behavioural intention of customers, especially of an educated youth, towards the use of mobile technology in banking. Findings ultimately suggest that accurate and consistent identification of customers’ propensity to adopt technology banking provides strategic map to banks from emerging markets to grow in underserved markets, achieve omni-channel presence, and disrupt value chain components.

Behavioural Intention to Use Mobile Entertainment Services among Bangladeshi Students

2016 ◽  
Vol 8 (2) ◽  
pp. 38-53
Author(s):  
Qazi Mahdia Ghyas ◽  
Fumiyo N. Kondo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Theory Of Planned Behaviour ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Planned Behaviour ◽  
Tpb Model ◽  
Questionnaire Surveys ◽  
Acceptance Model ◽  
Improve Service Quality

This study aims to understand why the usage of mobile entertainment services (MES) among young Bangladeshis is negligible. The authors propose a modification of combined technology acceptance model (TAM) and the theory of planned behaviour (TPB) model with additional factors. Questionnaire surveys were conducted in Bangladesh among young adult mobile users. The authors analysed the data of 251 valid responses via four TAM–TPB models. The study model, based on a modified TAM–TPB framework, fits generally well for mobile entertainment services in Bangladesh. The three factors of perceived behaviour control, perceived value, and attitude are important determinants for intention to use mobile entertainment services, and perceived behavioural control has the strongest direct effect on attitude and indirect effect on behavioural intention. The results suggest that mobile companies need to strengthen their organizational and technical support systems and improve service quality and affordability to encourage young consumers to use MES.

scholarly journals ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI ADOPSI TWITTER ADVERTISING PADA SEGMEN MUDA USIA 15 – 24 TAHUN WILAYAH JABODETABEK (JAKARTA, BOGOR, DEPOK,TANGGERANG, BEKASI) TAHUN 2011

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Edith Lavindri ◽  
Pepey Riawati Kurnia
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Technology Acceptance Model ◽  
Model Theory ◽  
Reasoned Action ◽  
Subjective Norm ◽  
Perceived Usefulness ◽  
Intention To Adopt ◽  
Innovation Model ◽  
Acceptance Model

Teori dan Model Theory of Reasoned Action (TRA) dari Fishbein & Ajzen (1975), Theory Planned Behavior (TPB) dari Ajzen (1991), Technology Acceptance Model (TAM) dari Davis (1989) dan Diffusion of Innovation Model (DOI) dari Rogers (1983 dalam Rogers, 2003) sering digunakan oleh banyak peneliti untuk menemukan faktor – faktor yang mempengaruhi adopsi yang berkaitan dengan teknologi. Pada penelitian ini keempat teori dan model ini dikombinasikan guna menjelaskan faktor – faktor yang mempengaruhi adopsi Twitter advertising pada segmen muda usia 15 – 24 tahun. Sebanyak 389 penguna Twitter menjadi responden penelitian ini, dimana 5 diantaranya diwawancara untuk mendapatkan pemahaman mendalam akan adopsi Twitter advertising. Hasil analisis menunjukkan bahwa terdapat attitude terhadap Twitter advertising, subjective norm terhadap Twitter advertising, perceived usefulness terhadap Twitter advertising berpengaruh dan signifikan terhadap intention to adopt Twitter advertising.

Predicting Internet Use

2011 ◽  
pp. 13-29 ◽  
Author(s):  
William R. Chrismar ◽  
Sonja Wiley-Patton
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Extended Model ◽  
It Adoption ◽  
Business Managers ◽  
Intention To Adopt ◽  
Medical Sector ◽  
Acceptance Model ◽  
Health Applications

The technology acceptance model (TAM; Davis, 1989) has been widely used by information technology researchers to gain a better understanding of information technology (IT) adoption and its use in organizations. While TAM has been applied and tested in academic and corporate settings, involving students, business managers, and clerical and administrative types as participants, few studies have evaluated TAM in the healthcare environment. This chapter examines the applicability of the extended technology acceptance model (TAM2; Ventkatesh & Davis, 2000) in the context of physicians’ intention to adopt Internet-based health applications. Data was collected in a survey of pediatricians to see how well the extended model fits in the medical sector. This chapterdiscusses the implications, limitations, and possible explanations for the inconsistent results found within the model when applied to such professional users as physicians.

The Use of Technology Acceptance Model in Mobile Banking

2021 ◽  
pp. 478-487
Author(s):  
Kadriye Burcu Öngen Bilir
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mobile Banking ◽  
Research Model ◽  
Normative Pressure ◽  
Use Of Technology ◽  
Customer Attitude ◽  
Acceptance Model

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.

SMS Banking

2010 ◽  
Vol 2 (3) ◽  
pp. 19-43 ◽  
Author(s):  
Krassie Petrova ◽  
Shi Yu
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Text Messaging ◽  
Relevant Literature ◽  
Mobile Service ◽  
Mobile Banking ◽  
Group Discussions ◽  
Short Text ◽  
Handheld Device ◽  
Acceptance Model

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.

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