scholarly journals The Adoption of WhatsApp: Breaking the Vicious Cycle of Technological Poverty in South Africa

2014 ◽  
Vol 6 (7) ◽  
pp. 542-550 ◽  
Author(s):  
Richard Shambare
Keyword(s):  
South Africa ◽  
Technology Acceptance ◽  
South African ◽  
Emerging Economies ◽  
Structural Equation ◽  
Socioeconomic Development ◽  
Vicious Cycle ◽  
Adoption And Diffusion ◽  
Acceptance Model ◽  
And Diffusion

Although research clearly demonstrates that consistent technology usage is correlated to socioeconomic development, the Vicious Cycle of Technology Affordability and Non-adoption impedes the uptake of ICTs in many developing countries. In South Africa, however, one Smartphone messaging application, WhatsApp, appears to have broken this vicious cycle. This paper argues that, given that promoting the uptake of ICTs is a developmental imperative for emerging economies, studying the adoption and diffusion patterns of WhatsApp provides invaluable insights into ICT usage within the context of a developing country. This study modelled the factors influencing the adoption of WhatsApp among South African youths. Some 192 students participated in the study by means of a self-completion questionnaire developed from the Technology Acceptance Model. Structural equation modelling tested the proposed theoretical model. Results suggest that a combination of cost efficiency, simplicity, userfriendly features, and the ability to run on multiple platforms influences and promotes users’ attitudes and behavioural intentions to adopt WhatsApp.

Extending the Technology Acceptance Model Beyond Its Country of Origin

2002 ◽  
pp. 158-183 ◽  
Author(s):  
Said S. Al-Gahtani
Keyword(s):  
Technology Acceptance ◽  
Western Europe ◽  
Empirical Test ◽  
Main Body ◽  
It Adoption ◽  
The United Kingdom ◽  
Adoption And Diffusion ◽  
Acceptance Model ◽  
The Impact ◽  
And Diffusion

This study is an attempt to theoretically and empirically test the applicability of TAM in the Western Europe culture. Thus the study objectives are: 1) to propose whether TAM may well apply to the Western Europe culture using the work of Hofstede on culture’s consequences by exploring the impact of cultural differences on the adoption and diffusion of IT-based innovations such as spreadsheets; 2) to empirically test the applicability of TAM in the United Kingdom as a representative country for the Western Europe culture; and 3) to conclude about the applicability of TAM in selected countries of Western Europe based on these theoretical and empirical endeavors. Therefore, the current study consists of two main parts: I) a theoretical part where IT adoption and diffusion is put in perspective in relation to cultural consequences, and II) an empirical part where an empirical test is carried out in a representative country of the Western Europe region. The study starts with a brief background on spreadsheets and the role they played in the diffusion of computer technology into organizations and sufficient literature about TAM (including its initiation, objective, popularity, and structure) before getting into the main body of the study.

scholarly journals An Analysis of the Intention of Consumers to Adopt Branded Mobile Applications in South Africa

2020 ◽  
Vol 14 (04) ◽  
pp. 138
Author(s):  
Pierre Minnaar ◽  
Lebogang Mototo ◽  
Tinashe Chuchu
Keyword(s):  
South Africa ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Applications ◽  
Structural Equation ◽  
Consumer Attitudes ◽  
Equation Modeling ◽  
Mobile Phone Applications ◽  
Acceptance Model ◽  
User Friendly

The purpose of the study was to conduct an empirical research on adoption of the technology acceptance model on investigating consumers’    intention to-wards the acceptance of branded mobile applications in South  Africa. The study was quantitative in nature where 255 participants were  utilised for data collection. To analyse the data structural equation modeling approach us-ing SPSS 24 and Amos 24 was conducted. Key findings were that the per-ceived usefulness of mobile phone applications and their enjoyment had direct and significant impact of consumer attitudes towards the adoption of those mobile applications. The implications of these key findings were that for mo-bile applications to be adopted in South Africa marketer have to find the best possible ways of making mobile applications user friendly and  convenient whether be it for commerce or entertainment purposes.

Testing the Technology Readiness and Acceptance Model for Mobile Payments Across Germany and South Africa

2017 ◽  
Vol 14 (06) ◽  
pp. 1750033 ◽  
Author(s):  
Miriam Martens ◽  
Oliver Roll ◽  
Roger Elliott
Keyword(s):  
South Africa ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Technology Readiness ◽  
Mobile Payments ◽  
Structural Relationships ◽  
Acceptance Model

The acceptance of mobile payments has been limited. This paper, therefore, attempts to investigate the determinants of mobile payment adoption. To this end, it examines the relationships between the personality trait dimensions of the Technology Readiness Index 2.0 and the system-specific dimensions of the Technology Acceptance Model in Germany and South Africa. The model was tested using structural equation modeling. Results show that some, but not all, of the Technology Readiness Index 2.0 variables had a significant influence on the dimensions of the Technology Acceptance Model. Perceived Usefulness was the strongest predictor of the intention to use mobile payments. The factor “country” did not moderate the structural relationships.

Adoption and Diffusion of Internet Banking

2008 ◽  
pp. 33-52
Author(s):  
Mahil Carr
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovations ◽  
Internet Banking ◽  
Diffusion Of Innovations Theory ◽  
Theory To Practice ◽  
Psychological Models ◽  
Adoption And Diffusion ◽  
Acceptance Model ◽  
And Diffusion

This chapter reviews important theories?the diffusion of innovations theory, the theory of planned behavior, and the technology acceptance model?in information systems that explain the adoption and diffusion of new technological innovations especially in the context of Internet banking. These theories taken together provide us with psychological models that influence the adoption of a new delivery channel for banks, that is, Internet banking. Empirical works that have investigated these theories are discussed. A critical perspective is offered that highlights the theoretical and methodological limitations of these models. Newer and richer models that take into account the socio-historic contexts of technology adoption are called for. Approaches that complement or challenge positivistic methodologies that are interpretive are presented in a case study. Relating theory to practice this chapter discusses possible future trends in Internet banking that could make an attempt to include populations that are not included in the modern electronic formal mainstream financial systems.

scholarly journals The adoption of tablet PCs by South African college students: an application of the technology acceptance model

2016 ◽  
Vol 14 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Richard Shambare ◽  
Kudzanai Shambare
Keyword(s):  
Technology Acceptance ◽  
South African ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Tablet Pcs ◽  
E Learning ◽  
Acceptance Model

This paper reports the results of a study that investigated South African tertiary education students’ adoption patterns of tablet PCs as an e-learning medium. Utilizing structural equation modelling techniques, the study tested the hypothesized effects of perceived ease of use and perceived usefulness, two constituent variables of the technology acceptance model (TAM), to predict the adoption of tablet PCs among college students. Self-completion questionnaires were used to collect data from a sample of 344 students from a South African college. From the study, two important findings were made. First, the association of innovation awareness and adoption was established. Second, the relationship among perceived ease of use, perceived usefulness, and the adoption of new technology in situations involving discontinuous innovations is clarified. In addition, the study makes two contributions. It is the first to utilize structural equation modelling to study the adoption of tablet PCs within the context of e-learning in South Africa. More importantly, the study develops a technology usage model for discontinuous e-learning innovations

scholarly journals Consumer-centric factors for the implementation of smart meters in South Africa

2021 ◽  
Vol 33 (2) ◽  
Author(s):  
Tonderai Muchenje ◽  
Reinhardt Botha
Keyword(s):  
South Africa ◽  
Technology Acceptance ◽  
South African ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Smart Meter ◽  
The South ◽  
Smart Meters ◽  
Pervasive Technology

Smart meter implementation is still in its infancy in many African countries, including South Africa. This is evident from the fact that most research studies are either Eurocentric or American-centric. Hence, this research aimed to identify consumer-centric factors for planning considerations in implementation of smart meters in South Africa. We used various behavioural theoretical models found in literature to identify potential factors relevant to this study. Based on quantitatively gathered data (n = 705), a structural equation model (SEM) was used to evaluate the identified factors. This study found that only ten consumer-centric factors were significant to smart meter consumers. These factors include behavioural intention, attitude, trust in technology, social norms, facilitating conditions, perceived usefulness, perceived ease of use, privacy risk, monetary cost, and perceived value. In conclusion, the study shows that not all factors suggested within the European and American context are relevant for smart meter implementation within the South African context. Hence, results of this study hold some practical implications in assisting utility companies in identifying consumer-centric factors that are relevant to the South African population. Finally, consumer-centric factors can be used by policy makers and energy regulators as baseline factors for future pervasive technology acceptance studies.

Application Of Technology Acceptance Model Of Unified Payment Interface Services Adoption In Mysuru City: An Exploratory Study

2019 ◽  
Vol 118 (6) ◽  
pp. 25-35
Author(s):  
Vinay S
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Banking Sector ◽  
Primary Data ◽  
Equation Modeling ◽  
Security Issues ◽  
Acceptance Model ◽  
Structured Questionnaire

Continuous development of technological innovations especially in the banking sector have stirred competition which has changed the way businesses operate resulting in the introduction of Unified Interface Payment (UPI) services. This study was conducted in order to analyse the adoption of UPI services through Technology Acceptance Model (TAM) in Mysuru. Objectives of study were framed to determine the demographic factors that influence the practices of UPI by the customers, to examine the role of banks in integrating UPI services and products and to assess the various security issues affecting the usage of UPI services by Mysuru customers. Based on these objectives a structured questionnaire was prepared and primary data was collected from 165 respondents. Data was analysed making use of SPSS and other models namely Structural Equation Modeling with Analysis of Moment Structures (AMOS) Software. Finally the researchers identifies that there is a need for convergence of customer’s preference for safe and easy banking transactions. This study revealed that the customer’s model have to be well integrated for progress in UPI operations.

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Generation Z ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989

Industry 4.0: The Importance Factors of Innovation in Adopting Cloud Computing Among SMES in Malaysia

2020 ◽  
Vol 11 (1) ◽  
pp. 84-84
Author(s):  
Siti Salwa Sheikh Mokhtar ◽  
Anuar Shah Bali Mahomed ◽  
Yuhanis Abdul Aziz ◽  
Suhaimi Ab. Rahman
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Industrial Revolution ◽  
Equation Model ◽  
Computing Industry ◽  
Global Economic Growth ◽  
Acceptance Model ◽  
Third Industrial Revolution

Small and medium-sized enterprises (SMEs) are commonly perceived as an essential part of boosting and stabilizing global economic growth. In 2018, SMEs recorded a 38.3% contribution to GDP of RM521.7 billion compared to RM491.2 billion in 2017. SMEs are expected to contribute 50% to Malaysia's GDP by 2030 relative to its present 38% contribution. However, in the context of Malaysia businesses, particularly small and medium-sized enterprises, are still not embracing the latest technology revolution sufficiently, as reported by the Ministry of International Trade and Industry (2018). Malaysia is currently in the third industrial revolution (automation), and some are still under the second industrial revolution. Such matter is worrying as only a few industries in Malaysia can adopt pillars of Industry 4.0, where business owners in Malaysia were still hesitant to embrace technologies such as the cloud. To bridge the gap in this analysis, this research adopted the technology acceptance model developed by Davis (1989) and Rogers' Diffusion Innovation Theory (1995), which incorporates the contexts of technology and innovation among SMEs in Malaysia. By using survey questionnaires, data was collected among manufacturing and services SMEs in Malaysia. Structural equation model employed to assess the important factors of innovation in adopting cloud computing among SMEs in Malaysia by using Smart-PLS. Keywords: Cloud computing, Industry 4.0, Innovation, Technological

scholarly journals Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior

2021 ◽  
Author(s):  
Svenja Mohr ◽  
Rainer Kühl
Keyword(s):  
Artificial Intelligence ◽  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Planned Behavior ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Perceived Behavioral Control ◽  
Labor Costs ◽  
Online Questionnaire ◽  
Acceptance Model

AbstractThe use of Artificial Intelligence (AI) in agriculture is expected to yield advantages such as savings in production resources, labor costs, and working hours as well as a reduction in soil compaction. However, the economic and ecological benefits of AI systems for agriculture can only be realized if farmers are willing to use them. This study applies the technology acceptance model (TAM) of Davis (1989) and the theory of planned behavior (TPB) of Ajzen (1991) to investigate which behavioral factors are influencing the acceptance of AI in agriculture. The composite model is extended by two additional factors, expectation of property rights over business data and personal innovativeness. A structural equation analysis is used to determine the importance of factors influencing the acceptance of AI systems in agriculture. For this purpose, 84 farmers were surveyed with a letter or an online questionnaire. Results show that the perceived behavioral control has the greatest influence on acceptance, followed by farmers’ personal attitude towards AI systems in agriculture. The modelled relationships explain 59% of the total variance in acceptance. Several options and implications on how to increase the acceptance of AI systems in agriculture are discussed.

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