scholarly journals Determinants of the Continued Intention of College Students in China to Use DiDi Mobile Car-Sharing Services

SAGE Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 215824401989369
Author(s):  
Isaac Kofi Mensah ◽  
Zhao Tianyu ◽  
Guohua Zeng ◽  
Luo Chuanyong
Keyword(s):  
College Students ◽  
Security And Privacy ◽  
The Internet ◽  
Intention To Use ◽  
Unified Theory ◽  
Car Sharing ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
The Relationship

This research paper examined the continued intention of college students to use DiDi mobile car-sharing services in China. The unified theory of acceptance and use of technology (UTAUT) was used as the theoretical framework while the data analysis was completed with SPSS. The results have demonstrated that performance expectancy, reliability, efficiency, and security and privacy were significant predictors of the continued intention to use mobile car-sharing services. Contrary to our expectations, effort expectancy was not a significant determinant of the continued intention to use mobile car-sharing services. In addition to these direct effects, the moderating impact of trust in the internet was also examined. The moderating analysis showed that trust in the internet showed no significant moderating impact on the relationship between performance expectancy, effort expectancy, reliability, efficiency, and security and privacy and the continued intention to use mobile car-sharing services. The implications of these findings are discussed.

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 Technology Supporting Nursing at Homecare – Seems to Be Lacking

2020 ◽  
Author(s):  
Eija Kivekäs ◽  
Santtu Mikkonen ◽  
Samuli Koponen ◽  
Kaija Saranto
Keyword(s):  
Internet Of Things ◽  
Historical Perspective ◽  
Intention To Use ◽  
Unified Theory ◽  
Home Setting ◽  
Medical Technologies ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

The use of welfare technologies in the home setting has drawn increased attention in healthcare. From a historical perspective, medical technologies were designed for hospital settings. Digitalization and internet of things have changed the structure of our society. The aim of this paper is to describe the factors that determine a user’s intent to adopt new welfare technologies in the context of homecare. The phenomenon was being examined by the unified theory of acceptance and use of technology. This study was to show that performance expectancy, effort expectancy, and facilitating conditions are significant factors in determining a user’s intention to use new welfare technologies. While, the use of welfare technologies was rare in homecare.

scholarly journals Factors that influence teachers’ use of GeoGebra for instruction

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

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.

Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model

2019 ◽  
Vol 16 (06) ◽  
pp. 1950043 ◽  
Author(s):  
Melih Engin ◽  
Fatih Gürses
Keyword(s):  
Behavioral Intention ◽  
Hospital Information Systems ◽  
Public Hospitals ◽  
Unified Theory ◽  
Moderator Effect ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
The Relationship

Information and communication technologies (ICTs) has become a tool which cannot be ignored in terms of public administrations, which provides advantage to the administrations as far as they can be adapted. The use of ICTs become widespread in the health sector as it is in all other sectors. In hospitals, hospital information systems (HIS) are used to keep records of patients and hospitals securely, to improve appointment, in-hospital management, decision support and workflow processes. Therefore, HISs are also used to increase efficiency and productivity, to reduce error rates, to increase service quality, to reduce service costs and to realize the specific purposes such as ensuring patient satisfaction. It is necessary that the end users should adopt HISs to obtain the expected benefits and to implement HIS successfully in public hospitals. The adoption of a technology product is also a sociological phenomenon at the same time. In this regard, the issue of adoption in the relevant literature is addressed in the context of a wide variety of models and many variables. This study is also a study of technology adoption. The subject of the study is the adoption of HISs in public hospitals in Turkey. In this context. The study aimed to determine the factors affecting the adoption of HISs by the personnel working in public hospitals in Turkey, in accordance with the Unified Theory of Acceptance and Use of Technology (UTAUT) model in the literature on technology adoption. In the study, the universe of the study consisted of the personnels (physicians, nurses, health officers, medical secretaries] which were working in public hospitals in the Bursa and Balıkesir Metropolitan Municipalities at the time of the study. According to the results of the study, performance expectancy, effort expectancy and social influence variables have positive and significant effects on the behavioral intention of hospital staff for using of HISs. In addition, facilitating conditions and behavioral intention variables have a positive and significant effect on usage behavior. On the other hand, it was found that gender has a moderator effect on the relationship between performance expectancy, effort expectancy and behavioral intention. Experience has a moderator effect on the relationship between the social influence and the behavioral intention while age has a moderator effect on the relationship between facilitating conditions and use behavior.

scholarly journals User Behavioral Intentions toward a Scooter-Sharing Service: An Empirical Study

2021 ◽  
Vol 13 (23) ◽  
pp. 13153
Author(s):  
Fei-Hui Huang
Keyword(s):  
Behavioral Intentions ◽  
Service Providers ◽  
Mobile Service ◽  
Intention To Use ◽  
Unified Theory ◽  
Subjective Ratings ◽  
Performance Expectancy ◽  
Mobility Service ◽  
Use Of Technology ◽  
Effort Expectancy

This paper proposes an innovative shared scooter service whereby scooter owners can authorize the rental of their scooters to others through a mobile service platform. It constitutes a public short-distance mobility service for travelers and increases the efficient utilization of each private scooter. The study examines the adoption of scooter-sharing services by travelers and adapts the unified theory of acceptance and use of technology, attitude, and user experience (UX) to investigate the factors that may influence traveler acceptance of scooter-sharing services. The data were collected from Taiwanese travelers who used the shared scooters provided in this study and completed pre- and post-use subjective ratings of the scooter-sharing service (n = 99), analyzed using a hierarchical multiple regression analysis. The results indicate that the model constructs of habit, social influence, and environmental protections may positively affect users’ behavioral intentions toward shared scooters, while performance expectancy and effort expectancy may negatively affect intention to use. Attitudes and UX had no direct effect on intention to use. In light of the findings, recommendations for improving the design of scooter-sharing services, implications for service providers, and a reference basis for the development of future shared micro-mobility services are provided.

Adoption of fitness wearables

2018 ◽  
Vol 20 (1) ◽  
pp. 103-127 ◽  
Author(s):  
Pável Reyes-Mercado
Keyword(s):  
Structural Equation ◽  
Qualitative Comparative Analysis ◽  
Equation Model ◽  
Intention To Use ◽  
Unified Theory ◽  
Content Type ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

Purpose This paper aims to analyse the adoption of fitness wearables by using the unified theory of acceptance and use of technology (UTAUT). The study analyses the relative weights and causal combinations of antecedent variables on use and intention to use fitness wearables. Design/methodology/approach The study design involves two stages: first, from the perspective of variable-oriented analysis, a structural equation model is tested using partial least squares (PLS) technique on a sample of 176 adopters and a second sample of 187 non-adopters. Second, from the perspective of case-oriented analysis, a fuzzy set qualitative comparative analysis (fsQCA) identifies causal combinations of variables that lead to use of wearables by adopters and intention to use by non-adopters. Findings PLS results show that performance expectancy and effort expectancy have high net effects on use and intention to use for adopters. FsQCA analysis shows that current users follow a streamlined path to adoption. High beliefs on performance expectancy and effort expectancy are the main influences of intention to use a fitness wearable for non-adopters. In contrast to adopters, non-adopters may follow a number of paths to intention to use through performance expectancy, effort expectancy or facilitating conditions. This insight was apparent only after analysing the data sets by using fsQCA. Research limitations/implications For sake of parsimony, this paper tested UTAUT model instead of the more complex unified theory of acceptance and use of technology 2. Practical implications Marketers in the fitness category can enhance use and intention to use by utilising not one but a combination of causal factors such as performance expectancy, effort expectancy and facilitating conditions. Wide societal deployment of wearables depends on performance and expectations. Social implications The widespread use of mobile devices depends on performance expectancy and effort expectancy. To transit to a real knowledge economy, co-creation should occur at early stages of product development so that these expectations are shared and better products be developed. Originality/value This paper offers a nuanced understanding of fitness wearable adoption by analysing adopters and non-adopters through variable- and case-oriented techniques. It complements the one-linear-path perspective with a number of alternative causal combinations of variables that lead to use and intention to use fitness wearables. While the causal path for adopters is unique, there are a number of causal combinations of antecedents that lead to high intention to use in potential adopters.

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.

scholarly journals EXPLORING STUDENTS BEHAVIOUR IN USING GOOGLE CLASSROOM DURING COVID-19 PANDEMIC: UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT)

2021 ◽  
Vol 3 (8) ◽  
pp. 182-195
Author(s):  
Rahayu Mokhtar ◽  
Mohd Hyrul Abu Karim
Keyword(s):  
College Students ◽  
Community College ◽  
Community College Students ◽  
Learning Process ◽  
Unified Theory ◽  
Process Data ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

Covid-19 pandemic has become one of the reasons for online education became an important area to explore worldwide nowadays. Google Classroom has popularly chosen by online educators to empower the teaching and learning process. However, limited research discussed the student’s acceptance and students' use behaviour using Google Classroom among Community College students in Malaysia. Since the worldwide have been affected by pandemic covid-19, the educators need to run the classes online, including subjects that related to the technical and vocational. Thus, this study adapted the Unified Theory of Acceptance and Use of Technology (UTAUT) model to understand the relationship between the five predictors in the framework in creating the student behaviour to use Google Classroom application in the learning process. Data were derived from an online survey involving 293 students from seven Malaysian Community colleges and been analysed using Statistical Package Social Science (SPSS) version 26.0. Findings from this study indicate that effort expectancy is the most significant dimension that influences behaviour intention, followed by social expectancy and performance expectancy. In addition, student’s use behaviour has been significantly influenced by the behaviour intention and facilitating conditions support by the college lecturers. Although there is a moderating effect shown in the relationships between performance expectancy and effort expectancy, yet it not supported in the link of social influence with behaviour intention and facilitating conditions with students' user behaviour. The results provide useful insight on the acceptance and use of Google Classroom among Malaysian Community College students. It is hoped that results from this study can be used as a guideline for educators to focus on and strategize their teaching methods and adapt to a new norm teaching environment.

Sign in / Sign up

Export Citation Format

Share Document