The Role of Unified Theory of Acceptance and Use of Technology in E-Learning Adoption in Higher Education Institutions in the UAE

Despite widespread adoption of crowdfunding for funding social donation projects, its adoption among start-up entrepreneurs is significantly low, in developing countries in particular. Research has been performed to investigate the crowdfunding adoption intention of start-up entrepreneurs in Bangladesh. This study aimed to identify the motivation behind the intentions of the entrepreneurs to adopt crowdfunding, using the Unified Theory of Acceptance and Use of Technology (UTAUT) model with extensions. Empirical data were collected from 317 respondents and analyzed using Partial Least Squares-based Structural Equation Modeling (PLS-SEM). The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions and perceived trust mpact significantly ion the entrepreneurs’ behavioral intention to adopt crowdfunding. In contrast, trialability and perceived trust were not found to be significant determinants. However, trialability has a significant positive relation with use behavior or actual use, whereas no significant relationship has been identified between behavioral intention and use behavior.

Download Full-text

Studies employing the unified theory of acceptance and use of technology (UTAUT) as a guideline for the research: Literature review of the Saudi context.

Advances in Social Sciences Research Journal ◽

10.14738/assrj.74.8001 ◽

2020 ◽

Vol 7 (4) ◽

pp. 18-23

Author(s):

Abdulrahman M. Alshabeb ◽

Omran Alharbi ◽

Riam K. Almaqrn ◽

Haifa Abdullah Albazie

Keyword(s):

Technology Acceptance ◽

Research Literature ◽

Learning Technologies ◽

Unified Theory ◽

Positive Effects ◽

Use Of Technology ◽

E Learning ◽

Acceptance Model ◽

Facilitating Conditions ◽

Future Work

Theoretical framework models are widely employed by researchers because these models are able to provide an in-depth understanding of the phenomena under investigation. The models most commonly adopted by researchers in the field of e-learning are the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). This paper presents a review of studies that have included the UTAUT framework as a guideline for the research. More specifically, this paper concentrates on research that has been conducted in Saudi Arabia. The results of this review indicate that according to the review and an analysis of previous studies, facilitating conditions, performance expectancy and effort expectancy have positive effects on users’ intentions to integrate and adopt E-Learning technologies. Finally, this paper presents and highlights area for future work.

Download Full-text

Extending unified theory of acceptance and use of technology with ISO/IEC 27001 security standard to investigate factors influencing Bring Your Own Device adoption in South Africa

SA Journal of Information Management ◽

10.4102/sajim.v23i1.1376 ◽

2021 ◽

Vol 23 (1) ◽

Author(s):

Thembekile Mayayise

Keyword(s):

Data Analysis ◽

Behavioural Intention ◽

Bring Your Own Device ◽

Analysis Tool ◽

Unified Theory ◽

Electronic Survey ◽

Intention To Adopt ◽

Use Of Technology ◽

Security Standard ◽

Iec 27001

Background: As the use of mobile computing devices such as smartphones increase in developing countries, some employees in organisations prefer using their privately owned mobile devices for work purposes by following the Bring Your Own Device (BYOD) practice. However, the actual factors that influence the adoption of this practice are limited.Aim: This study aimed to investigate the factors that positively influence the employee’s behavioural intention to adopt the BYOD practice in organisations.Setting: The focus of the study is workers in various industries in South Africa.Method: A model is proposed which extends components of the Unified Theory of Acceptance and the Use of Technology (UTAUT) model by certain elements of the ISO/IEC 27001 security standard and an organisational factor. It is a quantitative study. Through a snowball method, a sample of 130 South African workers participated in the study by completing an electronic survey where 106 valid responses were received.Results: The data analysis was conducted through the SPSS data analysis tool. The results revealed that performance expectancy, effort expectancy, awareness and training, and policy existence positively influence the behavioural intention to adopt the BYOD Practice.Conclusion: The outcome of this study will benefit practitioners considering the implementation of BYOD and also researchers seeking to expand the scope of existing technology adoption frameworks.

Download Full-text

Factors Influencing Behavioural Intention to Adopt the QR-Code Payment

International Journal of Asian Business and Information Management ◽

10.4018/ijabim.20220701.oa8 ◽

2022 ◽

Vol 13 (2) ◽

pp. 1-22

Author(s):

Wen-Jing Suo ◽

Chai-Lee Goi ◽

Mei-Teh Goi ◽

Adriel K. S. Sim

Keyword(s):

Behavioural Intention ◽

Mobile Payment ◽

Qr Code ◽

Consumer Innovativeness ◽

Personal Innovativeness ◽

Intention To Adopt ◽

Use Of Technology ◽

Quick Response Code ◽

Adoption Research ◽

Facilitating Conditions

This study aims to identify the factors which affect the consumers’ behavioural intention to adopt the Quick response code (QR-code) mobile payment. This study extends the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with the personal innovativeness construct. This study reveals that performance expectancy, social influence, habit, price value, and personal innovativeness in information technology are significantly related to behavioural intention to adopt QR-code mobile payment. However, effort expectancy, facilitating conditions, and hedonic motivation are found to be statistically insignificant. This study presents one of the few empirical works investigating the role of consumer innovativeness and thus validates the inclusion of personal innovativeness as constructed in mobile payment adoption research. Findings from this study provide valuable insights for mobile payment application developers and mobile payment marketing teams.

Download Full-text

Factors that influence teachers’ use of GeoGebra for instruction

Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie ◽

10.4102/satnt.v35i1.1366 ◽

2016 ◽

Vol 35 (1) ◽

Author(s):

Gerrit H. Stols ◽

Stephan J. Venter ◽

Elizabeth M. Louw

Keyword(s):

Teaching And Learning ◽

Intention To Use ◽

Unified Theory ◽

Software Training ◽

Use Of Technology ◽

Effort Expectancy ◽

Actual Use ◽

Facilitating Conditions ◽

The Relationship ◽

Mathematics Software

This study investigated factors that influence teachers’ use of mathematics software (in this case GeoGebra) for teaching and learning. Participants in the study were purposefully selected from a group of teachers that have received software training, have access to computers, and are familiar with the software. Seventy-five respondents completed the structured questionnaires. Multiple regressions were used to investigate the relationship between the four constructs of the Unified Theory of Acceptance and Use of Technology. These constructs are performance expectancy, effort expectancy, social influence, and facilitating conditions on teachers’ intention to use the mathematics software. This study found that the combination of the four above mentioned constructs explained 30% of the variance in respondents’ intention to use the software. Facilitating conditions were not found to directly influence whether or not people actually used the software because all of them have access to computers. Teachers’intention to use GeoGebra was found to predict the actual use of GeoGebra for teaching and learning.Keywords: mathematics; teachers; technology; ICT; software

Download Full-text

Teenagers’ behavioural intention towards wearable technologies and intention to recommend others: an empirical study in Bangladesh

Journal of Science and Technology Policy Management ◽

10.1108/jstpm-05-2020-0088 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Md. Shahinur Rahman ◽

Samir Das ◽

Gazi Md. Shakhawat Hossain ◽

Tajia Tajrin

Keyword(s):

Structural Equation ◽

Sustainable Use ◽

Decision Makers ◽

Behavioural Intention ◽

Content Type ◽

Wearable Technologies ◽

Intention To Adopt ◽

Use Of Technology ◽

Model Combining ◽

Facilitating Conditions

Purpose The purpose of this study is to investigate the factors, which drive teenagers’ behavioural intention to adopt wearable technologies and their behavioural intention to recommend others. Design/methodology/approach This study proposes a new adoption model combining two different models including the extended unified theory of acceptance and use of technology and the theory of planned behaviour, which provided relevant contributions for understanding the adoption of wearable technologies. A structural equation modelling approach using analysis of a moment structures 23 software was used to analyse the data collected from 318 respondents. Findings Findings of this study reveals that performance expectancy (β = 0.28; t = 2.049), facilitating conditions (β = 0.28; t = 1.989), social influence (β = 0.23; t = 3.150) and attitude (β = 0.18; t = 3.246) have a statistically significant impact on behavioural intention. Additionally, behavioural intention (β = 0.15; t = 2.543) and attitude (β = 0.15; t = 3.261) have a statistically significant impact on intention to recommend others. However, effort expectancy, price value, hedonic motivation and habit did not have a significant influence on behavioural intention. Practical implications In this study, the understanding of the determinants contributing to teenagers’ behavioural intention to use wearable technologies and driving their intention to recommend others to adopt these devices will provide insights to practitioners and decision makers to customize the features of wearable devices to promote sustainable use of these technologies. Originality/value This study is among the first to investigate wearable technologies from behavioural perspectives especially on teenagers in Bangladesh. Hence, the findings of this study will help to comprehensively explain teenagers’ behavioural intention to adopt wearable technologies and their intention to recommend others.

Download Full-text

Factors Influencing Behavioural Intention to Adopt the QR-Code Payment

International Journal of Asian Business and Information Management ◽

10.4018/ijabim.20220801oa09 ◽

2022 ◽

Vol 13 (2) ◽

pp. 0-0

Keyword(s):

Behavioural Intention ◽

Mobile Payment ◽

Qr Code ◽

Consumer Innovativeness ◽

Personal Innovativeness ◽

Intention To Adopt ◽

Use Of Technology ◽

Quick Response Code ◽

Adoption Research ◽

Facilitating Conditions

This study aims to identify the factors which affect the consumers’ behavioural intention to adopt the Quick response code (QR-code) mobile payment. This study extends the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with the personal innovativeness construct. This study reveals that performance expectancy, social influence, habit, price value, and personal innovativeness in information technology are significantly related to behavioural intention to adopt QR-code mobile payment. However, effort expectancy, facilitating conditions, and hedonic motivation are found to be statistically insignificant. This study presents one of the few empirical works investigating the role of consumer innovativeness and thus validates the inclusion of personal innovativeness as constructed in mobile payment adoption research. Findings from this study provide valuable insights for mobile payment application developers and mobile payment marketing teams.

Download Full-text

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

Hasanuddin Economics and Business Review ◽

10.26487/hebr.v2i1.1465 ◽

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.

Download Full-text

Understanding the Determinants of Wearable Fitness Technology Adoption and Use in a Developing Country: An Empirical Study

The Journal of Management Theory and Practice (JMTP) ◽

10.37231/jmtp.2021.2.1.90 ◽

2021 ◽

Vol 2 (1) ◽

pp. 78-87

Author(s):

Sajib Barua ◽

Adita Barua

Keyword(s):

Developing Countries ◽

Developing Country ◽

Structural Equation ◽

Equation Modeling ◽

Unified Theory ◽

Use Of Technology ◽

Effort Expectancy ◽

Actual Use ◽

Facilitating Conditions ◽

Self Administered Questionnaire

On account of slow adoption rate of Wearable Fitness Technology (WFT), the device designers need to comprehend the determinants behind the adoption and use of WFT. Which antecedents affect the intention of WFT wearers remains unclear and a brainteaser for designers, especially in developing countries. This study, therefore, examined the factors liable to influence the WFT users in a developing country using the extended ‘Unified Theory of Acceptance and Use of Technology’ (UTAUT2) model and ‘Perceived Reliability’. The desired data for assessment the model was assembled from 260 Bangladeshi respondents using a self-administered questionnaire through online platforms. The Partial-Least-Squares-Structural-Equation-Modeling (PLS-SEM) technique was followed by operationalizing SmartPLS 3.3.3 software to test the proposed hypotheses mentioned in the model. The outcomes of the test confirmed that the facilitating conditions and habit are the most influential determinants for intention-to-use and actual use of WFT followed by performance expectancy and facilitating conditions respectively. Contrariwise, effort expectancy was unearthed to have no notable impact on behavioral intention whereas price value showed negative association with intention. The documentation of the findings could benefit WFT vendors and those policymakers who have strong desire to enter in developing countries’ market.

Download Full-text

Adapting the UTAUT2 Model for Social Commerce Context

International Journal of E-Business Research ◽

10.4018/ijebr.293293 ◽

2022 ◽

Vol 18 (1) ◽

pp. 1-20

Author(s):

Zaki Shoheib ◽

Emad Ahmed Abu-Shanab

Keyword(s):

Perceived Value ◽

Unified Theory ◽

Social Commerce ◽

Extended Version ◽

Performance Expectancy ◽

Use Of Technology ◽

Proposed Model ◽

Effort Expectancy ◽

Facilitating Conditions

Social commerce (SC) became a major channel for conducting business as a result of the ban adopted by many countries because of Covid-19 era. The simplicity of the Unified Theory of Acceptance and use of Technology (UTAUT) and its extended version (UTAUT2) invites researchers to explore other options that can yield better explanation of the adoption of SC. This study extended the UTAUT2 with perceived value, trust and a SC related construct. In addition, the study re-structured the UTAUT2 to fit with SC environment. The study utilized 463 surveys distributed in Qatar, and analyzed the data using SEM. Results fully supported the proposed model, where trust, perceived value, facilitating conditions, and hedonic motivation significantly predicted behavioral intentions with an R2 value equal to 72%. The model supported the role of performance expectancy and SC constructs in predicting perceived value, and the role of effort expectancy and habit in predicting hedonic motivation.

Download Full-text