PERFORMANCE EXPECTANCY EFFECT ON YOUNG FARMERS’ INTENTION TO USE ICT: THE MODERATION ROLE OF SOCIAL INFLUENCE

This chapter sought to explore factors that influence e-learning adoption and use among students in higher education in Kenya. Based on UTAUT model, the study proposes that performance expectancy, effort expectancy, social influence, and facilitating conditions will influence intention to use e-learning. Additionally, the role of IT culture is explored. Performance expectancy, social influence, facilitating conditions, and IT culture were significant in predicting intention to use e-learning. Intention to use significantly predicted usage. Implications for higher education are discussed.

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Exploring the Role of Trust in Mobile-Banking Use by Indonesian Customer Using Unified Theory of Acceptance and Usage Technology

International Journal of Financial Research ◽

10.5430/ijfr.v11n2p51 ◽

2020 ◽

Vol 11 (2) ◽

pp. 51 ◽

Cited By ~ 1

Author(s):

Mohamad Saparudin ◽

Agus Rahayu ◽

Ratih Hurriyati ◽

Mokh. Adib Sultan

Keyword(s):

Social Influence ◽

Study Data ◽

Intention To Use ◽

Mobile Banking ◽

Performance Expectancy ◽

Study Results ◽

Effort Expectancy ◽

Convenience Sampling ◽

Technology Benefits

M-banking is an innovative digital application that provides convenience in transactions and this technology benefits both customers and banks. The purpose of this study is to examine the factors that influence the customer's intention to use m-banking and the role of trust in influencing the UTAUT construct. The UTAUT model that is expanded with trust variables is used in this study. Data was collected through an empirical study based survey of 243 participants in Jakarta, using convenience sampling. The study results show that there is a significant relationship between performance expectancy, effort expectancy, social influence and trust with behavioral intention. Moreover, trust significantly influence performance expectancy, effort expectancy, social influence. The findings theoretically are able to prove the factors that influence the customer's mobile banking adoption, where the effort expectancy factor is the factor that most influences the intention to use m-banking in Indonesia.

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

Journal of Educational Computing Research ◽

10.1177/0735633119865047 ◽

2019 ◽

Vol 58 (2) ◽

pp. 433-458 ◽

Cited By ~ 1

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.

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Drivers of intention to use Murabaha financing: religiosity as moderator

Journal of Islamic Marketing ◽

10.1108/jima-07-2019-0147 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Naqeeb Ullah Atal ◽

Mohammad Iranmanesh ◽

Fathyah Hashim ◽

Behzad Foroughi

Keyword(s):

Social Influence ◽

Reasoned Action ◽

Intention To Use ◽

Content Type ◽

The Impact ◽

Positive Effect ◽

Moderating Role ◽

Insight Into ◽

Religious Obligation

Purpose The purpose of this paper is to investigate the determinants of Muslims’ attitude and intention towards Murabaha financing by considering religiosity as a moderator. Design/methodology/approach The data were collected through a survey of 373 Muslims in Afghanistan and were analysed using the partial least squares technique. Findings The results showed that social influence and religious obligation have a positive effect on attitude towards Murabaha financing. Furthermore, social influence and attitude have a positive effect on the intention to use Murabaha financing. Religiosity moderates negatively the impact of social influence on attitude towards Murabaha financing. Practical implications Managers and marketers of Islamic banks may benefit from the findings of this study, which provide insight into the factors that should be considered to promote Murabaha financing. Originality/value The findings contribute to the literature on Islamic financing products by demonstrating the drivers of attitude towards and intention to use Murabaha financing. The study also extends the literature by testing the moderating role of religiosity. Furthermore, the study extends the theory of reasoned action in the context of Islamic financing by introducing religious obligation as a potential driver of attitude and religiosity as a moderator.

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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)

Jurnal Akuntansi Indonesia ◽

10.30659/jai.1.1.50-60 ◽

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.

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SERVICE ROBOT ADOPTION AMONG EMPLOYEES: A CULTURAL PERSPECTIVE

10.46754/gtc.2021.11.006 ◽

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.

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TOWARDS AN UNDERSTANDING OF EMPLOYEES’ INTENTION TO USE ROBOTS

10.46754/gtc.2021.11.001 ◽

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.

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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

Journal of Medical Internet Research ◽

10.2196/15023 ◽

2019 ◽

Vol 21 (8) ◽

pp. e15023 ◽

Cited By ~ 14

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.

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Smartphone Alcohol Use Disorder Recovery Apps: an Survey of Behavioral Intention to Use using UTAUT (Preprint)

10.2196/preprints.33493 ◽

2021 ◽

Author(s):

Rijuta Menon ◽

Julien Meyer ◽

Pria Nippak ◽

Housne Begum

Keyword(s):

Social Influence ◽

Behavioral Intention ◽

Alcohol Use Disorder ◽

Survey Study ◽

P Value ◽

Intention To Use ◽

Performance Expectancy ◽

Effort Expectancy ◽

Facilitating Conditions ◽

Behavioral Intention To Use

BACKGROUND Alcohol Use Disorder (AUD) carries a huge health and economic cost to society. Effective interventions exist but numerous challenges limit their adoption, especially in a pandemic context. AUD recovery apps (AUDRA) have emerged as a potential complement to in-person interventions. They are easy to access and show promising results in terms of efficacy. However, they rely on individual adoption decision and remain underused. OBJECTIVE The aim of this survey study is to explore the beliefs that determine the intention to use AUDRA. METHODS We conducted a cross-sectional survey study of people suffering from AUD. We used the Unified Theory of Acceptance and Use of Technology, which predicts use and behavioral intention to use based on performance expectancy, effort expectancy, social influence and facilitating conditions. Participants were recruited directly from two sources: first, respondents at addiction treatment facilities in Ontario, Canada were contacted in person and filled a paper form; second, members from AUD recovery support groups on social media were contacted and invited to fill an online sruvey. The survey was conducted between October 2019 and June 2020. RESULTS The final sample was comprised of 159 participants (124 online and 35 paper based) self-identifying somewhat or very much with AUD. Most participants (85.5%) were aware of AUDRA and those participants scored higher on performance expectancy, effort expectancy and social influence. Overall, the model explains 35.4% of the variance in behavioral intention to use AUDRA and 11.1% of the variance in use. Social influence (p-value 0.314), especially for women (p-value 0.227) and effort expectancy (p value 0.247) were key antecedents of behavioral intention. Facilitating conditions was not significant overall but was moderated by age (p value 0.231) suggesting that it matters for older participants. Performance expectancy did not predict behavioral intention, which is unlike many other technologies but confirms other findings with mhealth. Open-ended questions suggest that privacy concerns may play a significant role for AUDRA. CONCLUSIONS This study suggests that unlike many other technologies, the adoption of AUDRA is not mainly determined by utilitarian factors such as performance expectancy. Rather, effort expectancy and social influence play a key role in determining the intention to use AUDRA.

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Analysis of Factors Affecting Behavioral Intention to Use E-Learning Uses the Unified Theory of Acceptance and Use of Technology Approach

KnE Social Sciences ◽

10.18502/kss.v4i6.6658 ◽

2020 ◽

Author(s):

Ramllah . ◽

Ahmad Nurkhin

Keyword(s):

Social Influence ◽

Behavioral Intention ◽

Intention To Use ◽

Performance Expectancy ◽

Learning Intention ◽

Effort Expectancy ◽

E Learning ◽

Facilitating Conditions ◽

Behavioral Intention To Use ◽

Descriptive Statistical Analysis

The purpose of this study isto analyze the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, perceived creadibility, and anxiety on e-learning behavioral intention to use who are moderated by experience and voluntariness of use.The study population was 215 students who used e-learning in the Accounting Department of SMK N 1 Karanganyar. The sample selection using Slovin method with an error rate of 5% and sampling area technique obtained by respondents as many as 140 students. The technique of collecting data using a questionnaire. Data analysis techniques used descriptive statistical analysis and SEM-PLS. Data analysis tool using WarpPLS 5.0.The results of the descriptive statistical analysis show that the behavioral intention to use e-learning, performance expectancy, effort expectancy, social influence, facilitating conditions, perceived creativity, anxiety, experience and voluntariness of use are in the sufficient category. Hypothesis test results show the influence of performance expectancy on e-learning behavioral intention to use, effort expectancy does not affect the behavioral e-learning intention to use, social influence has an effect on behavioral e-learning intention to use, facilitating conditions have no effect on behavioral intention to Using e-learning, perceived creativity does not affect e-learning behavior, anxiety influences the behavioral intention to use e-learning, voluntary moderating negative social influences the behavioral e-learning intention to use, experience moderates the effect of effort expectancy on The behavior of e-learning intention to use, experience does not moderate the influence of social influence on the behavioral e-learning intention to use, experience does not moderate the effect of facilitating conditions on e-learning behavioral intention to use e-learning the conclusion of this study states that of the ten hypotheses proposed there are five types of hypotheses accepted. Keywords: E-learning, Behavioral Intention, UTAUT.

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