scholarly journals SERVICE ROBOT ADOPTION AMONG EMPLOYEES: A CULTURAL PERSPECTIVE

2021 ◽  
Author(s):  
N Alia Fahada W Ab Rahman ◽  
◽  
Monizaihasra Mohamed ◽  
Farizah Sulong ◽  
◽  
...  
Keyword(s):  
Social Influence ◽  
Fast Food ◽  
Service Robots ◽  
Service Robot ◽  
Intention To Use ◽  
Fast Food Restaurant ◽  
Cultural Perspective ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Restaurant Employees

This study examines the adoption of service robots by fast-food restaurant employees. Adopting the Unified Theory of Acceptance and Use of Technology (UTAUT), this study proposes four determinants of intention to use: performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC). The role of culture was also considered to examine its role in moderating the influencing factors. The data was collected from Malaysian fast-food restaurant employees and analysed using the Statistical Package for Social Sciences (SPSS) and the Smart-PLS software. The findings showed that intention to use service robots is primarily influenced by performance expectancy and social influence. Additionally, culture also has a significant effect as moderating factor on the relationship between social influence and intention to use service robots in a fast-food restaurant setting. Lastly, a discussion on the contributions and implications are presented.

scholarly journals TOWARDS AN UNDERSTANDING OF EMPLOYEES’ INTENTION TO USE ROBOTS

2021 ◽  
Author(s):  
Monizaihasra Mohamed ◽  
◽  
N Alia Fahada W Ab Rahman ◽  
Farizah Sulong ◽  
◽  
...  
Keyword(s):  
Social Influence ◽  
Fast Food ◽  
Online Survey ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Fast Food Industry ◽  
Moderation Effect ◽  
Performance Expectancy ◽  
Use Of Technology

The goal of this study is to investigate the underlying factors that influence an employees’ decision to use robots at work. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used in this study. This theory assumes that people’s actual behaviour and willingness to utilise technology is influenced by four underlying elements, namely performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC). Based on this assumption, the specific objective of this study is to investigate the relationship between these factors and a fast-food restaurants employees’ intent to use robots at work. The role of gender as a moderator in each of these interactions was also considered in this study. Based on data acquired from an online survey, the stated hypotheses were tested using the Partial Least Square (PLS) approach. The findings revealed that performance expectancy and social influence enhances an employees’ intention to use robots at work. It also showed that there was no moderation effect in the proposed model. This study presents empirical facts and direction to managers in the fast-food industry in Malaysia, researchers and practitioners regarding the adoption of robots or technology-based services at work. Theoretical advances as well as prospective research directions are also explored.

scholarly journals ANALISIS FAKTOR FAKTOR YANG MEMPENGARUHI MINAT PEMANFAATAN DAN PENGGUNAAN TEKNOLOGI PEMBAYARAN ELEKTRONIK BERGERAK DENGAN MENGGUNAKAN MODEL UTAUT. (STUDI KASUS PADA TEKNOLOGI M-DINAR PAYMENT SYSTEM)

2016 ◽  
Vol 1 (1) ◽  
pp. 50
Author(s):  
Wahyu Meiranto
Keyword(s):  
Information System ◽  
Regression Analysis ◽  
Social Influence ◽  
Electronic Mail ◽  
The Other ◽  
Intention To Use ◽  
Unified Theory ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy

The purpose of this research is to analyze factors that influence behaviour intention to use technology information system and use behaviour technology information system using UTAUT (unified theory of acceptance and use of technology). That factors are performance expectancy,effort expectancy, perceived of credibility, social influence, and facilitating condition and moderated by age, gender and experience. Sample of this research is investment using services community (M-Dinar) through internet. One hundred and twenty four respondents using M-Dinar had participated in this research. The collecting data used a questionnaire survey that posted at facebook and sent it via electronic-mail. Data were analyzed using a Moderated Regression Analysis (MRA). The result showed only social influence that effecting behaviour intention to use M-Dinar technology significant. The other factors aren’t have significant influence to behavoiur intention to use M-Dinar technology.

scholarly journals Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey

10.2196/15023 ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. e15023 ◽  
Author(s):  
Yiyu Zhang ◽  
Chaoyuan Liu ◽  
Shuoming Luo ◽  
Yuting Xie ◽  
Fang Liu ◽  
...  
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Diabetes Management ◽  
Intention To Use ◽  
Unified Theory ◽  
Research Model ◽  
Web Based ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Facilitating Conditions

Background Diabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients’ intention to use these apps are unclear. Understanding the patients’ behavioral intention is necessary to support the development and promotion of diabetes app use. Objective This study aimed to identify the determinants of patients’ intention to use diabetes management apps based on an integrated theoretical model. Methods The hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data. Results A total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (β=0.482; P=.001). Performance expectancy (β=0.482; P=.001), social influence (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), and perceived privacy risk (β=–0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (β=0.259; P=.001). Conclusions Performance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps’ effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients’ intention to use diabetes management apps. Context-related determinants should also be taken into consideration.

Effects of trust and perceived risk on user acceptance of a new technology service

2013 ◽  
Vol 41 (4) ◽  
pp. 587-597 ◽  
Author(s):  
Ji-Hwan Lee ◽  
Chi-Hoon Song
Keyword(s):  
Social Influence ◽  
Perceived Risk ◽  
Structural Equation ◽  
New Technology ◽  
Equation Modeling ◽  
Intention To Use ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
The Republic

We explored the precise impacts of trust and perceived risk on the core constructs of the unified theory of acceptance and use of technology (UTAUT). We applied the UTAUT model to the novel context of the Certified e-Document Authority (CeDA) service used in the Republic of Korea. Our results from structural equation modeling largely supported our hypotheses. Trust and perceived risk were shown to be direct antecedents of intention to use, and trust functioned as an indirect antecedent. Performance expectancy and social influence were shown to positively affect behavioral intention. Effort expectancy was also shown to influence performance expectancy. The combination of trust, perceived risk, performance expectancy, effort expectancy, and social influence accounted for 55.3% of the variance observed in users' intention to use CeDA services.

scholarly journals Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey (Preprint)

2019 ◽  
Author(s):  
Yiyu Zhang ◽  
Chaoyuan Liu ◽  
Shuoming Luo ◽  
Yuting Xie ◽  
Fang Liu ◽  
...  
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Diabetes Management ◽  
Intention To Use ◽  
Unified Theory ◽  
Research Model ◽  
Web Based ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Facilitating Conditions

BACKGROUND Diabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients’ intention to use these apps are unclear. Understanding the patients’ behavioral intention is necessary to support the development and promotion of diabetes app use. OBJECTIVE This study aimed to identify the determinants of patients’ intention to use diabetes management apps based on an integrated theoretical model. METHODS The hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data. RESULTS A total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (β=0.482; P=.001). Performance expectancy (β=0.482; P=.001), social influence (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), and perceived privacy risk (β=–0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (β=0.259; P=.001). CONCLUSIONS Performance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps’ effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients’ intention to use diabetes management apps. Context-related determinants should also be taken into consideration.

scholarly journals Evaluating the Behavioral Intention to Use E-Government Services from Malaysian’s Perspective in Kedah State of Malaysia

2018 ◽  
pp. 832-838
Author(s):  
Wiwied Virgiyanti ◽  
Siti Sarah Azidin ◽  
Muhammad Asim Tufail ◽  
Azizah Ahmad
Keyword(s):  
Social Influence ◽  
Northern Region ◽  
The Body ◽  
Intention To Use ◽  
Developed Country ◽  
Government Services ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

Recognizing the importance of ICT, e-Government initiatives are rising through public organizations and public administration all over the world. Malaysia as a developing country had started implementing e-Government to improve the public services for the people. Unfortunately, public acceptance and usage towards e-Government are still very limited in most developing countries. The main purpose of this study is to investigate citizen adoption of e-government services in the northern region of Malaysia. Importantly, this study aims to develop a conceptual framework that is based on previous literature on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, by examining the relationships between four factors (Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions) and Citizen adoption of e-Government services. A self-administered questionnaire was used to obtain data from 22 Malaysian citizens in the state of Kedah, Malaysia, randomly. The findings indicate that Effort expectancy, Social influence and Facilitating conditions are the significant predictors of the Malaysian intention to use an e-Government services, while Performance Expectancy is proven to be an insignificant predictor for the Malaysian’s intention to use an e-Government services. The study has made contributions to the body of knowledge at academic and practical levels as an important exploratory study that was conducted in the context of Malaysia, a country which aims to be a developed country by 2020. In addition, this study provides some valuable insights into the adoption of e-Government in Malaysian context which could help government agencies to improve the effectiveness of their services.

scholarly journals KEY DETERMINANTS OF THE INTENTION TO USE INTERNET BANKING IN VIETNAM

2011 ◽  
Vol 14 (1) ◽  
pp. 55-64
Author(s):  
Van Hong Khuu ◽  
Trang Thi Mai Nguyen
Keyword(s):  
Social Influence ◽  
Internet Banking ◽  
Intention To Use ◽  
Unified Theory ◽  
Research Model ◽  
Perceived Credibility ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Effort Expectancy

This study investigates some key determinants of the intention to use internet banking in Vietnam. The research model was developed based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The model was tested by a sample of 264 non users of internet banking in HCM city. The results show that performance expectancy, social influence, perceived credibility and anxiety significantly impact customers’ intention to adopt internet banking. In addition, results also show that effort expectancy and self-efficacy do not affect the intention to use internet banking.

scholarly journals Investigating the Determinants of Students’ Intention to Use Business Simulation Games

2019 ◽  
Vol 58 (2) ◽  
pp. 433-458 ◽  
Author(s):  
Yu-Yin Wang ◽  
Yi-Shun Wang ◽  
Shi-En Jian
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Partial Least Square ◽  
Intention To Use ◽  
Business Simulation ◽  
Simulation Games ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

Business simulation games (BSGs) are educational tools that help students develop business management knowledge and skills. However, to date, relatively little research has investigated the factors that influence students’ BSG usage intention. Grounded on the extended unified theory of acceptance and use of technology, this study helped to fill this gap by exploring intention to use BSGs. Specifically, this study investigated the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and price value on behavioral intention to use BSGs. Data collected from 141 useful respondents were tested against the research model using partial least square approach. The results of this study indicated that behavioral intention to use BSGs was influenced by facilitating conditions, hedonic motivation, and price value. Unexpectedly, performance expectancy, effort expectancy, and social influence were not predictive of students’ behavioral intention to use BSGs. These findings enhanced our understanding of students’ BSG usage behavior and provided several important theoretical and practical implications for the application of BSG in the context of business and management education.

scholarly journals Factors Affecting Teaching English as a Second Language (TESL) Postgraduate Students’ Behavioural Intention for Online Learning during the COVID-19 Pandemic

2021 ◽  
Vol 13 (6) ◽  
pp. 3524
Author(s):  
Melor Md Yunus ◽  
Wee Shin Ang ◽  
Harwati Hashim
Keyword(s):  
Online Learning ◽  
Survey Design ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Postgraduate Students ◽  
Factors Affecting ◽  
Positive Effects ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Facilitating Conditions

Online learning has become essential in education as the spread of coronavirus 19 (COVID-19) pandemic has brought significant changes to the field. However, education should remain welcoming and supportive to all the learners as it is important to keep the students’ behavioural intention in any form of learning environment. Thus, this study is significant as online learning is leading the trend of education now. Past studies revealed that the factors of performance expectancy, effort expectancy, social influence, and facilitating conditions under the unified theory of acceptance and use of technology (UTAUT) model affect learners’ behavioural intention to use online learning. This study intended to identify the most significant factors that influence TESL postgraduate students’ behavioural intention towards the use of online learning during the COVID-19 pandemic. It also examined the relationship amongst the four factors and postgraduate students’ behavioural intention to use online learning. The participants consisted of 169 postgraduate students at a public university in Malaysia. To achieve the aim, the study utilized a survey design using a questionnaire. The results from regression analysis revealed that all of the factors have positive effects on postgraduate students’ behavioural intention to use online learning. Meanwhile, performance expectancy has the greatest influence on postgraduate students’ behavioural intention. Hence, this study concludes that the practicality and the usefulness of online learning should be highlighted by the authorities.

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