scholarly journals Technology Adoption in Small-Medium Enterprises based on Technology Acceptance Model: A Critical Review

2021 ◽  
Vol 7 (2) ◽  
pp. 162
Author(s):  
Adisthy Shabrina Nurqamarani ◽  
Eddy Sogiarto ◽  
Nurlaeli Nurlaeli
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Critical Review ◽  
User Acceptance ◽  
Wide Range ◽  
Acceptance Model ◽  
Small Medium Enterprises ◽  
Medium Enterprises ◽  
Relevant Factors

Background: Technology acceptance model (TAM) has been extensively used to analyse user acceptance of technologies adopted by enterprises at different levels. Moreover, the technology adoption has drawn attention among practitioners and academic communities alike, leading to the development of approaches to understand the concept. However, there is a degree of inconsistency found in previous studies on different types of TAM models used in explaining user acceptance of technologies among small-medium enterprises (SMEs).Objective: This critical literature review aims to synthesise the technology adoption scholarly studies using TAM. It is expected to aid the identification of the most relevant factors influencing SMEs in adopting technology. Additionally, analysing the variations of TAM developed in previous studies could provide suggested variables specific to the type of technology industry.Methods: An integrated approach was used, and this involves a review of articles on the adoption of technologies in SMEs from 2011 to 2021, retrieved from popular databases using a mixture of keywords such as technology acceptance model (TAM), technology adoption, and technology adoption in SMEs.Results: An overview of TAM studies on user acceptance of technology in this review covers a wide range of research areas from financial technology to human resource management-related technology. Perceived usefulness and perceived ease of use were discovered to be the most common factors in TAM from the 21 articles reviewed. Meanwhile, some other variables were observed such as context, type of technology and level of user experience.Conclusion: The review highlights key trends in previous studies on IT adoption in SMEs, which assist researchers and developers in understanding the most relevant factors and suitable TAM models in determining user acceptance in a particular field. Keywords: Technology Acceptance Model, Technology Adoption, Small-medium Enterprises, Critical Review

scholarly journals Implementation of Augmented Reality for Earth Layer Structure on Android Based as a Learning Media

2020 ◽  
Vol 4 (1) ◽  
pp. 11-22
Author(s):  
Deli Deli
Keyword(s):  
Augmented Reality ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Elementary School Children ◽  
Layer Structure ◽  
3D Models ◽  
User Acceptance ◽  
Acceptance Test ◽  
Acceptance Model ◽  
User Assessment

Implementation of Augmented Reality for Earth Layer Structure on Android Based as A Learning Media isa research that aims to help in presenting material to Elementary School children. The research methodchosen in the completion of this study uses the 4D method (Define, Design, Develop and Disseminate) witha data collecting method using Technology Acceptance Model (TAM) built one construct with threedimensions of user assessment level of technology acceptance to support the basis of questionnaire design.AR design supported by 3D models, in order to be able to support the details of each explanation of thematerial contained, thus helping users to understand the material and ease of interaction on the media.The final result obtained in this research is that the application is stated to be able to help the school, it is used as a media display in the classroom so students do not need to imagine themselves, but simply byusing learning media is able to present the material to students.Keywords: Learning Media, 4D Method, User Acceptance Test, Augmented reality, Android.

Evaluation of South African Universities’ Web Portal Interfaces using a Triangulation of Ubiquitous Computing Evaluation Areas and Technology Acceptance Model

2014 ◽  
pp. 150-172 ◽  
Author(s):  
Vathiswa M. Booi ◽  
George E.M. Ditsa
Keyword(s):  
Ubiquitous Computing ◽  
Technology Acceptance ◽  
South African ◽  
Technology Acceptance Model ◽  
User Acceptance ◽  
Web Portal ◽  
User Friendliness ◽  
South African Universities ◽  
Huge Impact ◽  
Acceptance Model

There are growing concerns over the user friendliness and other usability issues of South African Universities’ Web Portal Interfaces (UWPIs), which obviously will negate the user acceptance of the UWPIs. The main goal of this study is to develop a framework that could be used to evaluate and provide additional guidelines to improve the Usability and User Acceptance of South African UWPIs. The study applies a triangulation of Ubiquitous computing Evaluation Areas (UEAs) and the Technology Acceptance Model (TAM) as theoretical foundations to derive the research model. Multiple regression and stepwise regression analyses are used. The results suggest that Interaction and Invisibility of UWPIs are the most important measures that have a huge impact on user acceptance and usability, respectively. The results of the study provide guidelines for the design and development of South Africa UWPIs to meet their usability and user acceptance.

Technology Acceptance Model

2007 ◽  
pp. 306-308
Author(s):  
M. McCord
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Information Technologies ◽  
Employee Performance ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Intent To Use ◽  
Acceptance Model

The Technology Acceptance Model (TAM) (Davis, 1989) measures perceived usefulness and perceived ease of use as predictors of a user’s intent to use computer technology, and their actual usage on the job. The measure first appeared in 1989, in an MIS Quarterly article by Fred Davis and in a coauthored article in Management Science(Davis, 1989; Davis, Bagozzi, & Warshaw, 1989). Extending the Theory of Reasoned Action (Ajzen & Fishbein, 1980) to technology, Perceived usefulness (U) is defined as “the degree to which a person believes a particular system would enhance his or her job performance.” Perceived ease of use (EOU) is defined as “the degree to which a person believes that using a particular system would be free of effort.” ‘Usage intentions’ (BI) was measured through self-predicted future usage and ‘user acceptance’ was measured through self-reported current usage. Although information technology is adopted to improve employee performance, these gains are often lost or diminished by users’ unwilling to accept and use the information system. Davis wanted to understand why users rejected or accepted information technologies, to better predict, explain and increase user acceptance. The TAM model has since become one of the most established models for predicting user acceptance.

scholarly journals User Acceptance of Virtual Reality: An Extended Technology Acceptance Model

2020 ◽  
Vol 36 (11) ◽  
pp. 993-1007 ◽  
Author(s):  
Camille Sagnier ◽  
Emilie Loup-Escande ◽  
Domitile Lourdeaux ◽  
Indira Thouvenin ◽  
Gérard Valléry
Keyword(s):  
Virtual Reality ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
User Acceptance ◽  
Acceptance Model

Mobile commerce adoption among the bottom of the pyramid: a case of street vendors in Thailand

2019 ◽  
Vol 10 (1) ◽  
pp. 193-213 ◽  
Author(s):  
Tanikan Pipitwanichakarn ◽  
Nittaya Wongtada
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Commerce ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Street Vendors ◽  
Content Type ◽  
Acceptance Model

Purpose This study aims to investigate the applicability of technology acceptance model in explaining technology adoption among street vendors in Thailand as a representation of emerging economies. Design/methodology/approach A pen-and-pencil survey was administered to 370 street vendors in Bangkok; 356 usable surveys were analyzed for a completed rate of 96.2 per cent. Structural equation modeling was used to analyze the data. Findings This study contributes to the existing technology acceptance literature as follows: First, the predictive power of the technology acceptance model is strong and holds true for street vendors. Second, it revealed that the relationship of entrepreneurial orientation and technology adoption is completely connected through the decision-making process (i.e. trust and system characteristics, otherwise known as usefulness and ease of use). Finally, the degree of product differentiation strengthens the positive relationship between perceived usefulness and the intention to use mobile commerce. Originality/value This study advances the previous research on e-commerce adoption in settings outside the formal sector. More specifically, this study developed and validated the extended technology acceptance model in the smallest-scale of entrepreneurs, street vendors, to increase the understanding of the adoption of m-commerce.

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