scholarly journals INFLUENCE OF TECHNOLOGY ACCEPTANCE MODEL (TAM) ON CUSTOMER ADOPTION OF E-BANKING PRACTICE IN LAGOS STATE

2021 ◽  
Vol 4 (3) ◽  
pp. 124-138
Author(s):  
Patrick Ladipo ◽  
◽  
Bolajoko Dixon-Ogbech ◽  
Nnenna Enyinnaya ◽  
Olushola Akeke ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Relative Advantage ◽  
Survey Method ◽  
Extended Model ◽  
Cross Sectional Survey ◽  
Extension Model ◽  
Tam Model ◽  
Lagos State ◽  
Acceptance Model

This study was put together to examine the influence of TAM (Technology Acceptance Model) extension model on customer adoption of e-banking practice in Lagos state. Furthermore, to capture the extended model four (4) elements of innovation characteristics namely innovation relative advantage, innovation complexity, innovation compatibility and innovation information were added into original TAM model to determine their relationship with customer adoption. The study utilized descriptive research design and collected data through cross-sectional survey method. Validated questionnaires of four hundred copies were given to the needed respondents and the data collected were analyzed using both descriptive and inferential statistical tools. Results revealed a substantial relationship between the dimensions of TAM extension model and customer adoption. The study recommends that an innovation will do very well if the innovation is made to capture all the variables investigated in this study to ensure rapid diffusion/adoption of the innovation for the whole process to be successful.

scholarly journals A Conceptual Framework of a Streamlined Extended Technology Acceptance Model for Mobile Application Adoption

2021 ◽  
Vol 9 (2) ◽  
pp. 42
Author(s):  
John Dah ◽  
Norhayati Hussin
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
New Technology ◽  
Ease Of Use ◽  
Extended Model ◽  
Perceived Ease Of Use ◽  
External Variable ◽  
Tam Model ◽  
Acceptance Model

Information systems have enjoyed their fair share of success over the years. Various technology adoption theories and models have been used to understand the factors that cause users to harmonize with new technology. Although the technology acceptance model is the most widely used of all technology adoption theories and also gives room for the addition of an external variable, many experts believe that a rudimentary construct should govern its core variables in the field with which it is applied. This believes system birthed the TAM 2 model, which came with an external variable to the extant TAM model. One of the firm beliefs upheld by the TAM model is that “perceived ease of use” fuels users’ intention to accept and adopt new IS systems or otherwise. The TAM 2 or Extended TAM model is driven by the notion that a unique and influential construct in the context of the technology or the object being assessed would improve the result’s accuracy. Therefore, the purpose of this study is to introduce mobile skillfulness as an influential construct that regulates the perception of ease and usefulness in the technology acceptance model for the assessment of mobile-related technologies. This study aims to develop an extended model from the extant TAM model that befits the acceptance assessments of mobile-related technologies such as applications and mobile games. The method used in this article is a literature survey to explore and understand the technology acceptance model (TAM), which would match mobile-related technology. The comprehensive conceptual model has been constructed in this article.

scholarly journals Predictor Factors of Intention to Use Technological Resources: A Multigroup Study About the Approach of Technology Acceptance Model

SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402096794
Author(s):  
Ivanildo Viana Moura ◽  
Lauro Brito de Almeida ◽  
Wesley Vieira da Silva ◽  
Claudimar Pereira da Veiga ◽  
Flaviano Costa
Keyword(s):  
Technology Acceptance ◽  
Work Environment ◽  
Technology Acceptance Model ◽  
Educational Institution ◽  
Structural Equations ◽  
Information And Communications Technology ◽  
Extended Model ◽  
Tam Model ◽  
External Variables ◽  
Acceptance Model

The aim of this article is to investigate the influence relationships between factors of an extended model of TAM (Technology Acceptance Model) and the behavioral intention of professors for the acceptance and use of information and communications technology (ICT) in work environment. The model used in this research includes, besides the original TAM variables, another five external variables. Twelve research hypotheses regarding the relationship between TAM factors and the intention and acceptance of ICT in the work environment were elaborated. Data collection was done through a questionnaire available on the Google doc platform to the teachers of the educational institution. The sample is formed by 147 teachers from several courses of one institution in the State of Paraná, Brazil. Initially, the demographic profile data were treated using descriptive statistics, confirmatory factorial analysis, and structural equations, which were the techniques used to test the research hypothesis. All research hypotheses based on the original TAM model were corroborated. Regarding the extended model, one of the external variables was not valid and was excluded from the proposed relations by two hypotheses referring to this construct. The results of the multigroup analysis—which includes the variables demographic, gender, age, schooling, and working time in the institution—showed the significant moderating effect of relationship only for the educational variable.

Why Do Physicians Reject the Electronic Health Record: A Theoretical Perspective? (Preprint)

2018 ◽  
Author(s):  
Weam Alfayez ◽  
Arwa Alumran ◽  
Dr Saja A. Al-Rayes
Keyword(s):  
Information Technology ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Record ◽  
Record System ◽  
Factors Influencing ◽  
Tam Model ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND Many theories/ models adopted from behavioral sciences literature or developed within the field of information technologies could help in understanding the technology acceptance, usage, and effective adoption. OBJECTIVE The main aim of this paper is to review the different theories/ models that can help in understanding information technology/system acceptance and use, and to choose the most appropriate theoretical framework that could be applied to understand the factors influencing physicians’ use of the Electronic Health Record system (EHR) at King Fahd Military Medical Complex (KFMMC) in Dhahran city, Saudi Arabia. METHODS The theories/ models were reviewed using scientific databases. The inclusion criteria were if the theories/ models used to explain individual behaviors toward accepting and using of information technology including the once conducted within the healthcare. RESULTS The review showed that there were five theories/ models were used within information technology studies to understand the technology acceptance and used. There were Theory of Reasoned Action, Theory of Planned Behaviour, Innovation Diffusion Theory, Unified theory of acceptance and use of technology, and Technology Acceptance Model. Each has different explanatory power of technology use. The most appropriate theoretical framework to understand the reason behind physician use of the EHR at KFMMC would be the Technology Acceptance Model (TAM). TAM model could explain up to 75% of the variation in the behavioral intention (acceptance), and up to 62% of the variation in the actual use. It is the gold standard for assessing the usage of health technologies and systems. In fact, the TAM model is one of the core models used to explore the physician’s perceptions of the Electronic Health Record system adoption. CONCLUSIONS This review showed that there are different theories available in the literature can be used to justify the reason behind electronic health record acceptance. TAM is one of the effective, simplest models used to understand the factors influencing physicians to use the EHR-system. Further studies need to apply the TAM model to check its ability in explaining the reason behind EHR within different hospitals in Saudi Arabia

scholarly journals Developing a Healthcare Technology Acceptance Model (H-TAM) for Older Adults with Hypertension

2021 ◽  
pp. 1-21
Author(s):  
Maurita T. Harris ◽  
Wendy A. Rogers
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Self Management ◽  
Healthcare Technology ◽  
Perceived Need ◽  
Healthcare Technologies ◽  
Acceptance Model

Abstract Older adults with a chronic health condition (e.g. hypertension) use various self-management methods. Healthcare technologies have the potential to support health self-management. However, it is necessary to understand the acceptance of these technologies as a precursor to older adults’ adoption and integration into their health plan. Our focus was on the factors older adults with hypertension initially consider when introduced to three new healthcare technologies that might support their health self-management. We compared their considerations for a blood pressure monitor, an electronic pillbox and a multifunction robot to simulate incrementally more complex technologies. Twenty-three participants (aged 65–84) completed four questionnaires and a semi-structured interview. The interview transcripts were analysed using a thematic analysis approach. We identified the factors that were frequently mentioned among the participants for each of the three healthcare technologies. The factors that older adults initially considered were familiarity, perceived benefits, perceived ease of use, perceived need for oneself, relative advantage, complexity and perceived need for others. Upon further reflection, participants considered advice acceptance, compatibility, convenience, facilitating conditions, perceived usefulness, privacy, subjective norm, and trust. We integrated the factors that older adults considered into the Healthcare Technology Acceptance Model (H-TAM), which elucidates the complexity of healthcare technology acceptance and provides guidance for future explorations.

Validating the TAM model in Haryana state of India: During COVID-19

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
komal Goyal ◽  
Ashutosh Nigam ◽  
Neha Goyal ◽  
Manisha Goyal
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
E Learning ◽  
Continuous Usage Intention ◽  
Acceptance Model

Purpose -Response to the sudden pandemic, COVID-19 drastic shift of work practices requires the implementation of an e-learning system, but their adoption requires a thorough understanding of the user acceptance process. Our key effort is to incorporate a framework, “internet experience” to determine the existing Technology Acceptance Model (TAM) applicability in describing students’ s e-learning decisions in Haryana state. Design/methodology- The researcher has administered a questionnaire based on TAM’s constructs and collected data from UG and PG students of Haryana state of India. Findings – The results revealed that perceived usefulness (PU) has a significant positive relationship with continuous usage intention (CUI) whilst, perceived ease of use (PEOU), computer self-efficacy (CSE) and internet experience (IE) have not. Attitude towards E-learning system (ATELS) has found no relevance in this model. Originality/value Majority research has been done using the TAM model in a developed nation. Empirical study has not been done in Haryana state so far.

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.

Determinates of Consumer Adoption Attitudes

2013 ◽  
Vol 5 (2) ◽  
pp. 40-56 ◽  
Author(s):  
Tsui-Yii Shih
Keyword(s):  
Technology Acceptance ◽  
Innovation Diffusion ◽  
Technology Acceptance Model ◽  
Smart Home ◽  
Consumer Attitudes ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Consumer Adoption ◽  
Home Service ◽  
Acceptance Model

Smart home services (SHS) have been developed by related firms and have had a strong impact on consumers’ lives. This research integrates involvement antecedents, innovation diffusion factors and a technology acceptance model to develop a conceptual framework for discussing consumer attitudes and adoption behaviors toward smart home service applications. A sample of 580 respondents from different smart home buildings in Taiwan was asked to complete a survey. This paper proposes and validates a structured methodology for assessing and improving smart home service development. The research results verify that involvement antecedents (interest), innovation diffusion factors (observability, compatibility, relative advantage), and technology acceptance model (perceived usefulness) positively affect consumer attitudes toward the adoption of smart home services and that positive adoption attitudes lead to higher levels of adoption behavior. Perceived ease of use has no influence on consumer adoption attitudes toward smart home services unless through the mediating effects of perceived usefulness. Demographic variables, including gender, age and personal income, play important segmentation roles in the promotion strategies for smart home services.

scholarly journals ADOPTION OF DIGITAL STORYTELLING TOOL IN NATURAL SCIENCES AND TECHNOLOGY EDUCATION BY PRE-SERVICE TEACHERS USING THE TECHNOLOGY ACCEPTANCE MODEL

2020 ◽  
Vol 19 (3) ◽  
pp. 429-453 ◽  
Author(s):  
Iuliana Lazar ◽  
Georgeta Panisoara ◽  
Ion-Ovidiu Panisoara
Keyword(s):  
Technology Acceptance ◽  
Technology Education ◽  
Technology Acceptance Model ◽  
Digital Storytelling ◽  
Digital Age ◽  
Natural Sciences ◽  
Ease Of Use ◽  
Control Variables ◽  
Tam Model ◽  
Acceptance Model

This research aimed to contribute to the overall understanding of pre-service teachers’ acceptance of the Digital Storytelling (DS) tool. The primary associations of the Technology Acceptance Model (TAM) were tested in the academic years 2017/2018 and 2018/2019 for statistical significance when the effects of the pre-service training teachers' digital age and status were controlled. Data from 296 pre-service teachers, from second and third study year, majority women considered vulnerable group were collected. The factor analysis and invariance tests on basic TAM were performed. The results revealed that DS tool usage intention was a function of perceived usefulness and ease of use. This research established the TAM applicability with the control variables addition to model the DS tool acceptance by pre-service teachers, as didactic material for natural sciences and technology education. Configural, metric, and scalar invariance were confirmed across both cross-temporal and cross-sectorial groups. Perceived ease of use of DS has strongly influenced both usefulness (β=.571, t=11.958, p<.0001) and intention to use of DS (β=.763, t=19.914, p<.0001), under the influences of the control variables. The outcomes contributed to the general understanding of DS pre-service teachers’ adoption relevant for natural sciences and technology education and for recognition of vulnerable category behavior. Keywords: digital storytelling tool, natural sciences didactics, technology education didactics, pre-service teachers’ digital age, pre-service teachers’ status, TAM model.

scholarly journals Technology Acceptance Model Perilaku Pengguna pada Sistem Enterprise Dompet Dhuafa

2021 ◽  
Vol 4 (1) ◽  
pp. 11-16
Author(s):  
Imam Ali Khumaidi ◽  
Rinda Hesti Kusumaningtyas
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Actual System ◽  
Web Based ◽  
Tam Model ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Dompet Dhuafa Enterprise System (DESI) is a system created in 2015. Initially it was created to replace the Fundrising Administration System (SANDRA) because SANDRA is a desktop-based application. Nowadays DESI is only used for budgeting functions and “Tebar Hewan Kurban” (THK) its a sacrificial animal stocking functions. DESI which has daily functions such as budgeting and seasonal functions in THK. In its implementation, DESI which is a web-based system sometimes becomes difficult to access when the system has a problem. This certainly makes the budgeting function that is used in daily activities become not implemented. THK's function in DESI was also inseparable from problems, one of which was the presence of volunteers who did not directly enter the data of prospective victims into DESI during the THK implementation. New data entered into DESI on the first Tasyrik day, for example, will increase work in other divisions. It would be different if it had been done before the sacrificial feast. This study aims to determine the factors that influence the acceptance behavior of DESI users. In this quantitative study using the Technology Acceptance Model (TAM) model. Sampling in this study using purposive sampling and accidental sampling. This study uses PLS-SEM for data processing and uses the application of SmartPLS version 3. There are 6 variables examined in this study, namely perceived usefulness, perceived easy of use, format, attitude using, behavioral intention to use, and actual system usage. From 7 hypotheses proposed there is one hypothesis that is rejected, namely the path attitude toward using the behavioral intention to use.

scholarly journals Extended Web Assessment Method (EWAM) Sebuah Model untuk Mengukur Keberhasilan Aplikasi E-Commerce Berdasarkan Perspektif Konsumen

2018 ◽  
Author(s):  
Andi Susilo ◽  
Yasmiati
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Reasoned Action ◽  
Assessment Method ◽  
Descriptive Statistics ◽  
Book Sales ◽  
Tam Model ◽  
Consumer Perspective ◽  
Online Book ◽  
Acceptance Model

Extended Web Assessment Method (EWAM) is a model for evaluating and valuing e-commerce Applications from a consumer perspective. EWAM was developed by Petra Schubert and Dorian Selz at St. University. Gallen, Switzerland. This method mainly integrates the findings of Davis Technology Acceptance Model (TAM) model and the Theory of Reasoned Action (TRA) theory from Fishbein and Ajzen. EWAM a method based on the evaluation grid includes a set of criteria for assessing the quality and efficacy of e-commerce applications and the specific features of the Internet as a medium. Quantitative approach in this study using descriptive statistics and qualitative analysis. The online book sales sector, which is five website profiles in Indonesia are evaluated and assessed in this study

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