The Unified Theory of Acceptance and Use of Technology

2020 ◽  
Vol 12 (3) ◽  
pp. 79-98 ◽  
Author(s):  
Alaa M. Momani
Keyword(s):  
Technology Adoption ◽  
New Technology ◽  
Scientific Field ◽  
Minimum Amount ◽  
Unified Theory ◽  
Development Method ◽  
Moderating Variables ◽  
Research Article ◽  
Use Of Technology ◽  
Test Technology

Recently, the unified theory of acceptance and use of technology has taken place as one of the most developed and intensive models to test technology adoption and acceptance. This research article reviews this model by presenting a description of its development and structure. Additionally, this article compares it with other former theories and models in this field. It studies the evolution stages of these theories and classifies them depending on their development method and the scientific field which they were developed in. Moreover, the model's determinants were classified depending on their influence on technology adoption. This model has been reported as robust and trusted for application on different technologies and viable after doing any modification operation over it. It also has the minimum amount of complexity according to its limited number of constructs and moderating variables that make it more applicable and understandable to study the acceptance behavior to any new technology.

scholarly journals The Development and Adoption of Online Learning in Pre- and Post-COVID-19: Combination of Technological System Evolution Theory and Unified Theory of Acceptance and Use of Technology

2021 ◽  
Vol 14 (4) ◽  
pp. 162
Author(s):  
Ping Qiao ◽  
Xiaoman Zhu ◽  
Yangzhi Guo ◽  
Ying Sun ◽  
Chuan Qin
Keyword(s):  
Technology Adoption ◽  
New Technology ◽  
Learning Technologies ◽  
Learning Technology ◽  
Unified Theory ◽  
Technology Evolution ◽  
Technology System ◽  
Utaut Model ◽  
Use Of Technology ◽  
E Learning

After the outbreak of COVID-19, schools heavily depend on e-learning technologies and tools to shift from in-person class to online. This review article analyzes the changes of technology evolution and technology adoption of e-learning in pre- and post-COVID-19 based on the Technology System Evaluation Theory (TSET) and technology adoption of e-learning based on the Unified Theory of Acceptance and Use of Technology (UTAUT). We intend to explore the interaction of technology evolution and technology adoption in the different focus of e-learning technology in the two stages and the particularity and heterogeneity of the UTAUT model. The results indicate that (1) The moderating results of technology evolution are proposed and evaluated under the UTAUT model before the COVID-19 outbreak. Studies after the COVID-19 pandemic paid more attention to technology efficiency rather than effectiveness; (2) Research on e-learning focuses on the infrastructure to reach more users after the outbreak of COVID-19 because e-learning is the only way to continue education; (3) COVID-19 fear moderates the relationship between the external factors and the behavior intention of e-learning users. The lack of financial support on technology evolution will directly weaken the implementation of new technology. Social Isolation offers more opportunities for students to engage in e-learning. Meanwhile, it slows down the implementation of e-learning because of out-to-date hardware and software. This article offers an enhanced understanding of the interaction of technology evolution and technology adoption under unexpected environments and provides practical insights into how to promote new technology in a way that users will accept and use easily. This study can be tested and extended by empirical research in the future.

scholarly journals Brain Health: Attitudes towards Technology Adoption in Older Adults

Healthcare ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
Nadir G. Abdelrahman ◽  
Raza Haque ◽  
Molly E. Polverento ◽  
Andrea Wendling ◽  
Courtney M. Goetz ◽  
...  
Keyword(s):  
Older Adults ◽  
Technology Adoption ◽  
Physical Health ◽  
Social Engagement ◽  
Information Technologies ◽  
New Technology ◽  
Handheld Devices ◽  
Brain Health ◽  
Use Of Technology ◽  
Health Related

(1) Background: There is increasing scholarly support for the notion that properly implemented and used, technology can be of substantial benefit for older adults. Use of technology has been associated with improved self-rating of health and fewer chronic conditions. Use of technology such as handheld devices by older adults has the potential to improve engagement and promote cognitive and physical health. However, although, literature suggests some willingness by older adults to use technology, simultaneously there are reports of a more cautious attitude to its adoption. Our objective was to determine the opinions towards information technologies, with special reference to brain health, in healthy older adults either fully retired or still working in some capacity including older adult workers and retired adults living in an independent elderly living community. We were especially interested in further our understanding of factors that may play a role in technology adoption and its relevance to addressing health related issues in this population; (2) Methods: Two focus groups were conducted in an inner-city community. Participants were older adults with an interest in their general health and prevention of cognitive decline. They were asked to discuss their perceptions of and preferences for the use of technology. Transcripts were coded for thematic analysis; (3) Results: Seven common themes emerged from the focus group interviews: physical health, cognitive health, social engagement, organizing information, desire to learn new technology, advancing technology, and privacy/security; and (4) Conclusions: This study suggests that in order to promote the use of technology in older adults, one needs to consider wider contextual issues, not only device design per se, but the older adult’s rationale for using technology and their socio-ecological context.

A Study on Role of Moderating Variables in Influencing Employees’ Acceptance of Information Technology

2018 ◽  
Vol 22 (4) ◽  
pp. 387-394
Author(s):  
Payal Dutta ◽  
Ashima Sharma Borah
Keyword(s):  
Information Technology ◽  
Secondary Data ◽  
Unified Theory ◽  
Moderating Variables ◽  
Post Offices ◽  
Digital World ◽  
Use Of Technology ◽  
Great Transformation ◽  
Rapid Pace

Penetration of information technology (IT) in almost every sector of the Indian economy is occurring at a very rapid pace. This has brought about a great transformation from a paper world to a digital world. Employees face new technological changes in their workplace almost every day. Some employees welcome the changes brought about by technology while others resist it and become defensive. These differences in employees’ reactions are influenced by a host of moderating variables existing in the environment. For the purpose of the present study, the researchers have adopted three moderating variables, namely, age, gender and experience (from the unified theory of acceptance and use of technology [UTUAT] model of Venkatesh, Morris, Davis, and Davis (2003, MIS Quarterly, 27, 3, 425–478). Hence, the article attempts to study the influence of the aforementioned moderating variables on the employees’ acceptance of IT at their workplace. The study has been conducted in the post offices falling under the Nalbari-Barpeta division of the Assam postal circle. The study is based on both the primary and secondary data.

scholarly journals MENILAI NIAT PERILAKU MAHASISWA UNTUK MENGGUNAKAN ILIAS SEBAGAI PLATFORM PEMBELAJARAN DARING MENGGUNAKAN MODEL UTAUT2

2021 ◽  
Vol 4 (2) ◽  
pp. 173-183
Author(s):  
Sarmini Sarmini ◽  
Niken Lia Prihatiningtias Pambayun ◽  
Nilam Puspita Nurdewanti
Keyword(s):  
Online Learning ◽  
Learning Process ◽  
Information Quality ◽  
Unified Theory ◽  
Moderating Variables ◽  
Learning Platform ◽  
Use Of Technology ◽  
Online Lectures ◽  
E Learning ◽  
Variable Performance

The use of e-learning in the learning process at Amikom Purwokerto University has been implemented since early 2019 by utilizing the ILIAS e-learning platform. The problem that arises is whether students are satisfied and intend to continue using the ILIAS platform for the online learning process during the pandemic period and afterwards where there are still many obstacles experienced by students during online lectures. This study aims to assess the behavioral intention of Amikom Purwokerto University students to use ILIAS as an online learning platform by adopting the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) model. Based on the results of hypothesis testing, it shows that each variable has a significant effect and has a significant impact on the use of ILIAS, this is evidenced by each hypothesis being accepted with a t-value> 1.96. Based on the t-value, the variable Performance Expectancy, Facilitating Condition and Habit is the variable with the highest t-value among the other variables, namely (PE -> BI = 16.8709), (FC -> UB = 13.4742) and (HB - > UB = 12.6896). This shows that these three variables have a high significant influence and impact on the use of ILIAS. In further research, it may be possible to consider the use of moderating variables such as age, gender, experience, and so on or add other variables such as Security and Information Quality.

scholarly journals Mirror, mirror on the wall: The factors that influence consumers’ behavioural intention to use smart mirrors in Canada

2021 ◽  
Author(s):  
Chelsea Heney
Keyword(s):  
Sem Analysis ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Unified Theory ◽  
Moderating Variables ◽  
Multigroup Analysis ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
The Relationship ◽  
Mirror Mirror

The retail industry is currently in a state of disruption and significant change. Successful retailers will be those that put their customers in the center of the shopping journey and create exceptional total retail experiences. Increasingly, retailers are turning to smart technology as a means of satisfying consumer demand for unique experiences and offerings. Adapting the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) this research seeks to explain the factors that influence Canadian consumers’ behavioural intention to use smart mirrors in a retail stores. Results from the PLS-SEM analysis suggest that perceived value (PV), performance expectancy (PE), hedonic motivation (HM) and social influence (SI) are significant. Interestingly, results of the multigroup analysis (MGA) technique suggest that the moderating variables of age, gender, and income are not significant and have no effect on the relationship between the primary constructs and behavioural intention.

Dynamic Analysis of UTAUT

2016 ◽  
Vol 11 (3) ◽  
pp. 40-54
Author(s):  
Wejdan Abualbasal ◽  
Emad Abu-Shanab ◽  
Heba Al-Quraan
Keyword(s):  
Longitudinal Study ◽  
New Technology ◽  
Intention To Use ◽  
Unified Theory ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Adoption Of New Technology ◽  
Facilitating Conditions

The technology adoption domain is rich with studies that utilized a cross-sectional snapshot of subjects' perceptions regarding the adoption of new technology. This research tried to implement a longitudinal study that took three measures within 4 months to estimate the influence of time and experience on students' perceptions. The study adopted a modified version of the Unified Theory of Acceptance and use of Technology (UTAUT) with effort expectancy, performance expectancy, facilitating conditions, and locus of control predicting the intention to use Microsoft Project. Results supported the UTAUT and its prediction. Also, this study fitted two types of dynamic research typologies (learning curve and equilibrium circles) to the UTAUT relationships and across time.

Technology Acceptance Theories

2017 ◽  
Vol 7 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Alaa M. Momani ◽  
Mamoun M. Jamous ◽  
Shadi M S Hilles
Keyword(s):  
Software Engineering ◽  
Technology Acceptance ◽  
Behavioral Intentions ◽  
New Technology ◽  
Research Paper ◽  
Scientific Field ◽  
Structure Evolution ◽  
Development Method ◽  
Usage Behavior

Studying the acceptance and usage of technologies has become one of the most significant fields in software engineering domain. In order to explain the individuals' usage behavior towards technologies, many theories and models have been proposed over the years. This research paper focuses on reviewing a group of ten technology acceptance theories and models by studying their structure, evolution stages, and their strengths and weaknesses points. These theories were analyzed and classified into two main types depending on their development method and scientific field which they were developed in. This study reveals that these theories are almost similar in their structure, but different in explaining the behavioral intentions of technology. It considers that the best theory should be comprehensive and less complexity according to the number of the constructs and moderators which represent their structure. This will make the theory more understandable and applicable especially for studying the acceptance behavior for any new technology.

scholarly journals Doctors’ Perceptions of E-Prescribing upon Its Mandatory Adoption in Poland, Using the Unified Theory of Acceptance and Use of Technology Method

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 563
Author(s):  
Natalia Wrzosek ◽  
Agnieszka Zimmermann ◽  
Łukasz Balwicki
Keyword(s):  
Technology Implementation ◽  
New Technologies ◽  
New Technology ◽  
Initial Period ◽  
Electronic Prescribing ◽  
Healthcare Sector ◽  
Unified Theory ◽  
Family Doctors ◽  
Implementation Phase ◽  
Use Of Technology

Background: E-prescribing is the most important achievement in the automation of the healthcare sector in Poland. Obligatory electronic prescribing came into force on 8 January 2020. This innovation significantly changes the work of doctors. Therefore, it is useful to identify the factors that have an impact on doctors’ acceptance levels for the new technology. Methods: This study employs a survey based on the Unified Theory of Acceptance and Use of Technology (UTAUT) method. Our questionnaire was completed by 144 family doctors in Poland during the technology implementation phase and the initial period of obligatory e-prescribing, between 1 December 2019 and 1 March 2020. Results: The results of the survey indicate that doctors do not believe that e-prescribing improves the effectiveness of their work. In addition, this attitude does not depend on the age of the respondent. We also found, regarding the influence of societal attitudes, that doctors only rarely consider the opinions of others in relation to their job. Conclusions: The implementation of new technologies in the healthcare system must be accompanied by consideration of how user-friendly the technologies are, and whether the users will have appropriate technical and financial support.

scholarly journals THE INFLUENCE OF UTAUT FACTORS ON E-RETENTION WITH E-SATISFACTION AS MEDIATING VARIABLE IN E-LEARNING

2018 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Fibria Indriati ◽  
Priyanka Agustina
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
New Technology ◽  
Unified Theory ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
E Learning ◽  
Acceptance Model ◽  
Facilitating Conditions

Factors on Unified Theory of Acceptance and Use of Technology (UTAUT) are factors derived from UTAUT technology acceptance model, which is used to describe the factors that influence the acceptance of individuals on the implementation of a new technology in the enterprise. This study aimed to analyze the influence of UTAUT factors on E-retention with E-satisfaction as mediating variable. This study uses a quantitative approach with the total samples. The results showed that: (1) Performance Expectancy influences E-retention significantly, (2) Effort Expectancy influences E-retention significantly, (3) Social Influence influences E-retention not significantly, (4) Facilitating Conditions influences E-retention significantly, (5) E-satisfaction influences E-retention significantly, and (6) UTAUT Factors influence E-retention with E-satisfaction as mediating variable. However, the bigger impact is shown through the influence of UTAUT Factors on E-retention directly without going through the E-satisfaction. 

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