scholarly journals Factors Affecting Intention to Use Food Order-Delivery Feature of Ride-Hailing Applications: The UTAUT Approach

2021 ◽  
Vol 22 (3) ◽  
pp. 1363-1383
Author(s):  
Ade Permata Surya ◽  
I Made Sukresna ◽  
Aris Mardiyono
Keyword(s):  
Behavioral Intention ◽  
Total Sample ◽  
Basic Element ◽  
Intention To Use ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Use Of Technology ◽  
Study Results ◽  
Facilitating Conditions ◽  
Food Order

Since ride-hailing platforms in Indonesia provide food order-delivery feature, there has been a change in public spending behavior from conventional to electronic, even on the most basic element, i.e., food. The purpose of this study is to identify critical factors affecting consumers’ adoption of ride-hailing applications to buy food using the Unified Theory of Acceptance and Use of Technology (UTAUT) approach. This study uses a cross-sectional design with a non-probability sampling method. Data was collected from self-administered questionnaire, resulting a total sample of 315 respondents across Indonesia. The respondents are GrabFood and GoFood consumers and the food order-delivery feature of Grab and Gojek (the ride-hailing applications). The study employs PLS-SEM technique to analyze the relationships among variables. The findings show performance expectancy, social influence, and facilitating conditions positively influence behavioral intention to use food order-delivery features in ride-hailing applications. On the other hand, effort expectancy does not influence behavioral intention. The results corroborate the role of food-order feature of ride-hailing applications in the change of Indonesian consumer behavior. Referring to the study results, theoretical contributions and practical implications are provided.

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.

scholarly journals Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony
Keyword(s):  
Medical Education ◽  
Blended Learning ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Behavioral Intention To Use

Abstract Background Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that might affect students’ intention to use blended learning. Methods In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Venkatesh et al. (2012) proposed UTAUT2 as a framework to explain a person’s behavior while using technology. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypotheses. Results The validity and reliability of the model constructs were acceptable. Performance Expectance (PE), Effort Expectance (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) had a significant effect on the students’ behavioral intention to use blended learning. Additionally, behavioral intention to use blended learning had a significant effect on the students’ actual use of blended learning (β = 0.645, P ≤ 0.01). Conclusion The study revealed that the proposed framework based on the UTAUT2 had good potential to identify the factors influencing the students’ behavioral intention to use blended learning. Universities can use the results of this study to design and implement successful blended learning courses in medical education.

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.

scholarly journals Factors Affecting the Behavioral Intention to Adopt Mobile Payment: An Empirical Study in Taiwan

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1851
Author(s):  
Wan Rung Lin ◽  
Chun-Yueh Lin ◽  
Yu-Heng Ding
Keyword(s):  
Diffusion Of Innovation ◽  
Behavioral Intention ◽  
Positive Influence ◽  
Study Data ◽  
Relative Advantage ◽  
Mobile Payment ◽  
Mobile Business ◽  
Factors Affecting ◽  
Use Of Technology ◽  
Facilitating Conditions

The convenience feature of mobile payment has replaced interactions with physical money and reduced transaction time, which better meets the demand of modern people for convenience in life. As mobile payments play an important role in mobile business, understanding the factors attracting consumers to mobile payment will bring mobile businesses more opportunities for development, and further significantly improve the output value of mobile businesses. This study discusses how to further influence consumer behavioral intention in Taiwan, as based on the main theoretical framework of the Extend Unified Theory of Acceptance and Use of Technology (UTAUT2) and Diffusion of Innovation (DOI). In this study, data analysis is implemented by Partial Least Squares (PLS) for the purpose of verifying the research model and hypotheses. The research results show that social influence, facilitating conditions, hedonic motivation, compatibility, innovation, relative advantage, and observability have positive influence on consumer intention to use mobile payment.

scholarly journals ANALISA PENERIMAAN DAN PENGGUNAAN SISTEM INFORMASI DESA (SID) DENGAN MODEL UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT)

2020 ◽  
Vol 1 (1) ◽  
pp. 51
Author(s):  
I Gusti Putu Yudha Tresnawan ◽  
I Made Ardwi Pradnyana ◽  
I Made Agus Wirawan
Keyword(s):  
Information System ◽  
Behavioral Intention ◽  
Unified Theory ◽  
Factors Affecting ◽  
Software Application ◽  
Utaut Model ◽  
Use Of Technology ◽  
Facilitating Conditions ◽  
Use Behavior ◽  
The Village

AbstrakSistem Informasi Desa merupakan perangkat teknologi dan aplikasi perangkat lunak yang dioperasikan oleh perangkat desa untuk mengelola data administrasi dan informasi desa. Penelitian ini bertujuan untuk mengetahui faktor yang mempengaruhi minat pemanfaatan dan perilaku penggunaan SID dengan model Unified Theory Of Acceptance And Use Of Technology (UTAUT). Model UTAUT memiliki empat variabel bebas yaitu ekspektasi kinerja, ekspektasi usaha, pengaruh sosial, dan kondisi yang memfasilitasi. Model UTAUT juga memiliki dua variabel terikat yaitu minat pemanfaatan dan perilaku penggunaan serta variabel moderator yaitu jenis kelamin, umur, pengalaman, dan kesukarelaan pengguna.Sampel dalam penelitian ini berjumlah 56 orang. Data diperoleh dengan cara menyebarkan kuisioner kepada operator desa sebagai pengguna SID. Data kemudian dianalisis menggunakan software SmartPLS 3.0.Hasil penelitian ini menunjukkan bahwa (1) Ekspektasi kinerja berpengaruh positif terhadap minat pemanfaatan sebesar 59%, ekspektasi usaha berpengaruh positif terhadap minat pemanfaatan sebesar 49,5 % dan pengaruh sosial tidak berpengaruh positif terhadap minat pemanfaatan. (2) Kondisi yang memfasilitasi berpengaruh positif terhadap perilaku penggunaan sebesar 29,2% dan minat pemanfaatan berpengaruh positif terhadap perilaku penggunaan sebesar 32,3%. (3) Variabel moderator jenis kelamin dan umur tidak memperkuat hubungan antara ekspektasi kinerja terhadap minat pemanfaatan. (4) Variabel moderator jenis kelamin, umur dan pengalaman tidak memperkuat hubungan antara ekspektasi usaha terhadap minat pemanfaatan. (5) Variabel moderator jenis kelamin, umur, pengalaman dan kesukarelaan pengguna tidak memperkuat hubungan antara pengaruh sosial terhadap minat pemanfaatan. (6) Variabel moderator umur dan pengalaman tidak memperkuat hubungan antara kodisi yang memfasilitasi dengan perilaku penggunaan. AbstractVillage Information System is a set of technology and software application which was operated by village officials to manage village’s administration and information. This study aimed to know the factors affecting behavioral intention and use behavior in using SID with Unified Theory Of Acceptance And Use Of Technology (UTAUT) model. UTAUT model had 4 independent variables namely Perfomance Expectanxy, Effort Expectancy, Social Influence, and Facilitating Conditions. UTAUT model also had two variables namely Behavioral Intention and Use Behavior and moderator variables namely gender, age, experience and voluntariness of use. There was 56 people as the sample of this study. The data were obtained by spreading questionnaires to village operators as the village information system users. The data were analysed by using SmartPLS 3.0 software.

scholarly journals Modeling the Acceptance and Use of Electronic Medical Records from Patients’ Point of View: Evidence from Saudi Arabia

2020 ◽  
Author(s):  
Dalal Bamufleh
Keyword(s):  
Saudi Arabia ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Proposed Model ◽  
Study Results ◽  
Facilitating Conditions

Abstract Background The employment of IT in healthcare reflects a need to meet the increasing demands of patients and to upgrade the quality and productivity of the provided services. However, the literature demonstrates many failures in systems and IT technology implementation in the context of healthcare. One of the reasons behind these failures is users’ resistance to accept such new technology. The ministry of health in Saudi Arabia has prioritized the embracing of new technologies that could level up the healthcare service, such as the adoption of electronic medical record (EMR) systems. On the other hand, studies that address the acceptance and use of hospital information systems and EMRs in Saudi Arabia from patients’ points of view are scarce. The aim of this study was to explore patients’ acceptance of an EMR system by testing a proposed theoretical model adapted from the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT). Methods An online questionnaire was used where questions were based on the proposed model constructs (facilitating conditions, perceived ease of use, perceived usefulness, attitude, and behavioral intention). One hundred sixteen patients responded to the questionnaire. The model was then tested using the structural equation modeling method to identify the factors that affect patients’ intention to use the online services of the EMR. Results The analysis of the research model suggested that (1) facilitating conditions that involved patients’ knowledge, skills, and the provided support by the hospital directly influenced the degree of perceived ease of use (PEOU) of the system. (2) PEOU directly affected the EMR’s perceived usefulness (PU). (3) PU directly affected patients’ attitudes (ATT) toward using the EMR. (4) A positive effect is found between ATT and the behavioral intention to use EMR. Conclusion The study results have implications for healthcare IT acceptance research and efforts in Saudi Arabia, as to date patients’ perspectives have received little attention. The research also makes a theoretical contribution as it validated the proposed model, which integrated constructs from TAM and UTAUT.

scholarly journals Psychosocial Determinants of Intention to Use Tobacco Among Adolescents in India

2015 ◽  
Vol 4 (2) ◽  
pp. 65-74 ◽  
Author(s):  
Aarti Nagarkar ◽  
Swapnil Gadhave
Keyword(s):  
Role Model ◽  
Total Sample ◽  
Intention To Use ◽  
Negative Effects ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Study Results ◽  
Intention To Smoke ◽  
Harmful Effects

AimThe present study aims to determine the psychosocial factors associated with ‘intention to use tobacco’, because it is influenced by social norms and beliefs about smoking.MethodA cross-sectional survey on a random sample of 665 individuals, aged 15-20 years, was conducted using a pretested questionnaire. Three logistic regression models were constructed to identify determinants of ‘intention to use tobacco’, with the total sample, with respondents under 18 years old, and with respondents 18 years old and above.ResultsOdds of intention to use tobacco were higher when friends used tobacco products, and perceived no negative effects on health. Parental use of tobacco increased the odds of intention to use tobacco, and a similar effect was observed when a celebrity was followed as a role model. Approval of occasional use of tobacco increased the odds of intention to use tobacco. Communication with parents about harmful effects of tobacco reduced the odds of intention to smoke among respondents younger than 18 years old.ConclusionSocial factors and perception of risk significantly influenced the intention to use tobacco. Study results are useful in designing interventions for prevention of tobacco use among adolescents.

An empirical examination of Instagram as an s-commerce channel

2018 ◽  
Vol 15 (2) ◽  
pp. 146-160 ◽  
Author(s):  
Salma Abed
Keyword(s):  
Saudi Arabia ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Social Commerce ◽  
Empirical Examination ◽  
Content Type ◽  
Factors Affecting ◽  
Use Of Technology ◽  
Facilitating Conditions

Purpose The purpose of this paper is to review the literature and empirically examine a theory-based model in the context of social commerce (s-commerce). The study examined the popular photo-sharing platform “Instagram” to determine the value of s-commerce and its acceptance by customers. Design/methodology/approach Using the unified theory of acceptance and use of technology (UTAUT) as the theoretical framework, the researcher examined the proposed research model and related hypotheses. A survey questionnaire of 441 Instagram users in Saudi Arabia was collected and analyzed using structural equation modeling. Findings The results revealed that social influence and trust are the most significant factors affecting behavioral intention. In contrast, the effect of facilitating conditions on behavioral intention was found to be not significant. Originality/value Very limited empirical research has been conducted in the context of s-commerce in the Arab region generally and in Saudi Arabia specifically. The findings of the present study will provide guidance that could be put into action for marketers and professionals in Saudi Arabia.

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.

scholarly journals Determinants of the behavioral intention to use a mobile nursing application by nurses in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Minghao Pan ◽  
Wei Gao
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Explanatory Power ◽  
Intention To Use ◽  
Unified Theory ◽  
Cross Sectional Survey ◽  
Related Factors ◽  
Cross Sectional ◽  
Use Of Technology ◽  
Behavioral Intention To Use

Abstract Background Although a mobile nursing application has began to adopt in nursing, few studies have focused on nurses’ behavioral intention of it. The objective of this study is to gain insight into the behavioral intention of nurses, i.e. chinese nurses of the future, to use a mobile nursing application. This study adopted an extension of the Unified Theory of Acceptance and Use of Technology to examine Chinese nurses’ acceptance of a mobile nursing application. Methods A total of 1207 nurses participated in the cross-sectional survey. The majority of nurses were female (96.2%). The mean age of the participants was 34.18 (SD 7.39). The hypothesized relationships were tested using AMOS structural equation model. Results All constructs exhibited an acceptable level of reliability and validity with Cα and CR > 0.7 and AVE > 0.5. An extension of the Unified Theory of Acceptance and Use of Technology Model had good explanatory power for nurses’ behavioral intention of a mobile nursing application. Although effort expectancy and perceived risks had a surprisingly insignificant effect on nurses’ behavioral intention to use a mobile nursing application, performance expectancy, social influence, facilitating conditions, self-efficacy, and perceived incentives demonstrated significant influence with β = .259, p < .001, β = .296, p < .001, β = .063, p = .037, β = .344, p < .001, β = .091, p = .001, respectively. Conclusion With 70.2% of the variance in behavioral intention to use a mobile nursing app explained by this model, it could be helpful for potential adopters, and further investigation should test the actual usage behavior for a mobile nursing app and investigate the related factors.

Sign in / Sign up

Export Citation Format

Share Document