DEMATEL method of analysing the factors influencing the decision to adopt virtual reality technology by real estate firms in Lagos property market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodele Samuel Adegoke ◽  
Timothy Tunde Oladokun ◽  
Timothy Oluwafemi Ayodele ◽  
Samson Efuwape Agbato ◽  
Ahmed Ademola Jinadu
Keyword(s):  
Virtual Reality ◽  
Real Estate ◽  
Social Influence ◽  
Property Market ◽  
Content Type ◽  
Performance Expectancy ◽  
Factors Influencing ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Estate Agency

PurposeThe study analysed the factors influencing real estate firms' (REFs) decision to adopt virtual reality (VR) technology using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. This was done to enhance the practice of real estate agency in Nigeria.Design/methodology/approachData were elicited from eight real estate experts. These experts were heads of the agency department of firms that had been in existence for a minimum of five years in the Lagos property market. The data analysed in this study were collected with the aid of a questionnaire.FindingsThe result revealed that use intention was influenced by performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value and UB. Also, facilitating conditions, habit and use intention did not influence use behaviour. Overall, six constructs, which include price value (Ri − Cj value = 0.1284), use behaviour (Ri − Cj value = 0.0666), social influence (Ri − Cj value = 0.0583), facilitating conditions (Ri − Cj value = 0.0323), performance expectancy (Ri − Cj value = 0.0196) and effort expectancy (Ri − Cj value = 0.0116), were significant predictors of the factors influencing the decision of REFs to adopt VR. Of these constructs, the Ri − Cj values indicated that price value had the highest causative influence.Practical implicationsThe result of this study will bring REFs to the consciousness of the factors that could affect their adoption of VR technology. This study will also assist the Nigerian Institution of Estate Surveyors and Valuers in appropriately enlightening REFs on the integration of VR technology into the agency practice especially at this time when all health protocols and guidelines need to be observed to help flatten the curve of the Covid-19 pandemic.Originality/valueThis study is the first to have an insight into the analysis of the factors influencing REFs' decision to adopt VR technology using the DEMATEL method.

Factors Influencing the Continued Acceptance of Wechat Mobile Payments by Chinese Vendors

2021 ◽  
Vol 34 (4) ◽  
pp. 28-47
Author(s):  
Isaac Kofi Mensah ◽  
Yijun Liu ◽  
Chuanyong Luo
Keyword(s):  
Social Influence ◽  
Cross Section ◽  
Response Rate ◽  
Mobile Payments ◽  
Performance Expectancy ◽  
Factors Influencing ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
The City ◽  
The Way

Mobile payments have revolutionized and modernized the way payment transactions are completed. The acceptance of mobile payments is vital to eCommerce. This study explored the factors influencing the continued acceptance of WeChat mobile payments by a cross-section of vendors in the city of Ganzhou, China. A questionnaire was administered to 500 vendors with a response rate of 81%. The results show that performance expectancy and trust fostered the continued acceptance of WeChat mobile payments. However, while effort expectancy was significant in predicting the level of trust in WeChat mobile payments, it did not significantly influence their continued acceptance. Social influence, facilitating conditions, and trust in WeChat mobile payments were all significant predictors of the continued acceptance of WeChat mobile payments.

Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model

2019 ◽  
Vol 9 (1) ◽  
pp. 88-114 ◽  
Author(s):  
Kanishk Gupta ◽  
Nupur Arora
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Mobile Payment ◽  
National Capital Region ◽  
Payment Systems ◽  
Content Type ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Use Behavior

Purpose The purpose of this paper is to examine the impact of key antecedents of unified theory of acceptance and use of technology model 2 on behavioral intention to accept and use mobile payment systems in National Capital Region, India. Design/methodology/approach A sample of 267 mobile payment system users in National Capital Region was obtained through an online survey. A partial least squares method was used to find out whether key antecedents of UTAUT2 predict behavioral intention to accept mobile payment systems which further predicts use behavior toward mobile payment systems. Findings The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention. Research limitations/implications The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention. Originality/value The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.

Empathic technologies for distance/mobile learning

2017 ◽  
Vol 14 (2) ◽  
pp. 159-180 ◽  
Author(s):  
Pedro Isaias ◽  
Francisco Reis ◽  
Clara Coutinho ◽  
Jose Alberto Lencastre
Keyword(s):  
Distance Learning ◽  
Social Influence ◽  
Technology Acceptance ◽  
Positive Influence ◽  
Partial Least Square ◽  
Least Square ◽  
Content Type ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions

Purpose This paper examines the acceptance, of a group of 79 students, of an educational forum, used for mobile and distance learning, that has been modified to include empathic characteristics and affective principles. Design/methodology/approach With this study is proposed that the introduction of empathic and affective principles in educational forums is a useful and effective way to increase students’ participation and motivation in educational contexts. After an analysis of existing literature and research on the subject of empathic technology, the unified theory of acceptance and use of technology (UTAUT) was used as a framework for the research model. The analysis of their acceptance is done via an extended version of the UTAUT that focuses on the use of the variable attitude toward technology and uses gender, age and experience as moderators. A partial least square technique has been used to test the nine hypotheses. Findings The results confirmed three of the nine hypotheses: performance expectancy and effort expectancy had a positive influence on the students attitudes towards empathic forums, while the effect of social influence and facilitating conditions was considered insignificant; social influence had a positive influence on the students’ behavioral intention to use emphatic forums, while attitude toward technology, performance expectancy, facilitating conditions and effort expectancy were considered not relevant. Originality/value The focus of this study was the influence of attitude toward empathic forums, used for mobile and distance learning, and the results establish the grounds for future research on attitude as an important determinant of technology acceptance.

Virtual Reality in Medical Education

2020 ◽  
pp. 56-73
Author(s):  
Ahmet B. Ustun ◽  
Ramazan Yilmaz ◽  
Fatma Gizem Karaoglan Yilmaz
Keyword(s):  
Medical Education ◽  
Virtual Reality ◽  
University Students ◽  
Social Influence ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Student Acceptance

The aim of this research is to examine student acceptance and use of virtual reality technologies in medical education. Within the scope of the research, a questionnaire consisting of 4 sub-dimensions and 21 items was developed by the researchers. This questionnaire consists of sub-dimensions of performance expectancy, effort expectancy, facilitating conditions, and social influence. The study was conducted on 421 university students who participated in courses and activities related to the use of virtual reality applications in medical education. The findings of the research demonstrated that the students' acceptance and use of virtual reality applications were high in medical education. Various suggestions were made for researchers and educators in accordance with the findings.

Engaging m-commerce adopters in India

2019 ◽  
Vol 32 (1) ◽  
pp. 191-210 ◽  
Author(s):  
Shweta Pandey ◽  
Deepak Chawla
Keyword(s):  
Social Influence ◽  
Perceived Risk ◽  
Content Delivery ◽  
Content Type ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Perceived Enjoyment ◽  
Facilitating Conditions ◽  
Adoption Level ◽  
The Impact

PurposeThe purpose of this paper is to identify the impact of factors derived from the unified theory of user acceptance of technology (performance expectancy, effort expectancy, social influence, facilitating conditions, age, gender) and of those drawn from literature (perceived risk, perceived enjoyment and innovativeness) on the adoption of m-commerce in India. It also suggests implications of these for the consumer behavior theory practitioners and marketers.Design/methodology/approachData were collected using an online survey from 321 respondents, split into two groups (high and low adoption level users) based on the usage scores of the four categories of m-commerce- location-based, transaction-based, entertainment and content delivery. Logistic regression technique was used to identify the prominent factors among the nine identified influencers to understand the differences between the two groups.FindingsThe findings of this paper are sample biasness, self-reported m-commerce adoption level, limited m-commerce categories and specific context.Research limitations/implicationsExcept the two factors of performance expectancy and facilitating conditions, all other variables discriminate between low and high adoption levels of m-commerce services in India. Social influence, perceived enjoyment and innovativeness were the three main factors that were found to have the most significant impact on the discrimination levels of m-commerce service users in India. Further, it was found that women and the younger generation users of m-commerce showed a greater propensity for adopting m-commerce practices.Practical implicationsMarketers need to focus on key factors like social influence, perceived enjoyment, perceived risk and effort expectancy to persuade the young and innovative consumer target groups increase their adoption of m-commerce services.Originality/valueThis is the first study of its kind to explore factors that distinguish users with low and high levels of m-commerce adoption, by taking into consideration all four categories of m-commerce (transaction-based, content delivery, location-based and entertainment). In doing so, it highlights the need for marketers to focus on factors beyond facilitating conditions and performance expectancy, to enhance the adoption of m-commerce practices.

Factors influencing students’ adoption of e-learning: a structural equation modeling approach

2017 ◽  
Vol 10 (2) ◽  
pp. 164-182 ◽  
Author(s):  
Ali Tarhini ◽  
Ra’ed Masa’deh ◽  
Kamla Ali Al-Busaidi ◽  
Ashraf Bany Mohammed ◽  
Mahmoud Maqableh
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Modeling ◽  
Content Type ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
E Learning ◽  
Facilitating Conditions

Purpose This research aims to examine the factors that may hinder or enable the adoption of e-learning systems by university students. Design/methodology/approach A conceptual framework was developed through extending the unified theory of acceptance and use of technology (performance expectancy, effort expectancy, hedonic motivation, habit, social influence, price value and facilitating conditions) by incorporating two additional factors, namely, trust and self-efficacy. Data were collected from students at two universities in England using a cross-sectional questionnaire survey between January and March 2015. Findings The results showed that behavioral intention (BI) was significantly influenced by performance expectancy, social influence, habit, hedonic motivation, self-efficacy, effort expectancy and trust, in their order of influencing the strength and explained 70.6 per cent of the variance in behavioral intention. Contrary to expectations, facilitating conditions and price value did not have an influence on behavioral intention. Originality/value The aforementioned factors are considered critical in explaining technology adoption but, to the best of the authors’ knowledge, there has been no study in which all these factors were modeled together. Therefore, this study will contribute to the literature related to social networking adoption by integrating all these variables and the first to be tested in the UK universities.

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 Analisis Penerimaan dan Penggunaan Aplikasi Gojek Menggunakan Model UTAUT

2020 ◽  
Vol 1 (1) ◽  
pp. 85-95
Author(s):  
Nadiyah Hidayati ◽  
Yudi Ramdhani
Keyword(s):  
Data Processing ◽  
Social Influence ◽  
Significant Influence ◽  
Behavioral Intention ◽  
Strong Relationship ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Data Processing Method ◽  
Effort Expectancy ◽  
Facilitating Conditions

Abstrak Objektif. Aplikasi Gojek merupakan aplikasi berbasis android yang menjadi pintu masuk bagi pelanggan untuk mendapatkan layanan yang disediakan PT Gojek Indonesia. Penelitian ini dilakukan untuk menganalisa faktor-faktor yang mempengaruhi penerimaan dan penggunaan aplikasi Gojek menggunakan model Unified Theory of Acceptance and Use of Technology (UTAUT) dengan 4 variabel bebas dan 1 variabel terikat yaitu ekspektasi kinerja, ekspektasi usaha, faktor sosial, kondisi-kondisi pemfasilitasi, dan niat perilaku. Penelitian ini dilakukan terhadap 100 responden pengguna aplikasi Gojek  pada SMK MVP Ars Internasional. Material and Metode. Model UTAUT digunakan untuk mengetahui tingkat keberhasilan penerimaan aplikasi Gojek agar dapat diterima oleh masyarakat. Metode pengolahan data yang digunakan adalah regresi linear berganda yang menggunakan software SPSS 22. Hasil. Dari pengolahan data tersebut didapatkan hasil bahwa variabel ekspektasi kinerja, ekspektasi usaha, faktor sosial dan kondisi-kondisi pemfasilitasi memiliki nilai korelasi sebesar 0,867 terhadap niat perilaku, artinya antara variabel independen dan dependen dalam penelitian ini memiliki hubungan yang sangat kuat, nilai R Square (R2) sebesar 75,2% sedangkan sisanya dipengaruhi variabel lain. Kesimpulan. Dengan demikian dapat disimpulkan bahwa secara simultan, variabel ekspektasi kinerja, ekspektasi usaha, faktor sosial, dan kondisi-kondisi pemfasilitasi berpengaruh secara positif dan signifikan terhadap niat perilaku aplikasi Gojek. Sedangkan secara parsial, hanya variabel ekspektasi kinerja dan faktor sosial yang memiliki pengaruh positif dan signifikan terhadap niat perilaku aplikasi Gojek. Sedangkan variabel ekspektasi usaha dan kondisi-kondisi pemfasilitasi tidak memiliki pengaruh positif dan signifikan terhadap niat perilaku dalam menggunakan aplikasi Gojek. Abstrack Objective. Gojek application is an android-based application that is the entrance for customers to get the services provided PT Gojek Indonesia. This study was conducted to analyze the factors that influence the acceptance of Gojek applications using the UTAU) method with 4 independent variables and 1 dependent variable namely Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, and Behavioral Intention. This research was conducted on 100 respondents of the Gojek application SMK MVP Ars International. Materials and Methods. The UTAUT model is used to determine the level of success in accepting Gojek applications to be accepted by the community. The data processing method used is multiple linear regression using SPSS 22 software. Results From the data processing, the results show that the variables of performance expectancy, effort expectancy, social influence, and facilitating conditions have a correlation value of 0,867 to behavioral intention, meaning between independent and dependent variables in this study has a strong relationship, the value of R Square (R2) of 75,2% while the rest is influenced by other variables. Conclusion. Thus it can be concluded that simultaneously, the variable performance expectancy, effort expectancy, social influence, and facilitating conditions positively and significantly affect the behavioral intention of Gojek applications. While partially, only the performance expectancy and social influence variables that have a positive and significant influence on the behavioral intention of Gojek application. While the effort expectancy and facilitating conditions variable does not have a positive and significant influence on Behavioral Intentionin using the Gojek application.

scholarly journals ANALISIS PENERIMAAN PENGGUNA SISTEM INFORMASI PERPUSTAKAAN DAN ARSIP DAERAH KABUPATEN BULELENG MENGGUNAKAN MODEL UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT)

2019 ◽  
Vol 8 (2) ◽  
pp. 394
Author(s):  
Nita Rianadewi ◽  
Dewa Gede Hendra Divayana ◽  
I Made Ardwi Pradnyana
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Unified Theory ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Use Behavior

Sistem Informasi Perpustakaan dan Arsip (SIPA) adalah sebuah website yang dikembangkan oleh perpustakaan daerah di kabupaten Buleleng sebagai alternative dalam mendukung pengelolaan dan mempermudah pengguna. Penelitian ini bertujuan untuk menganalisis pemanfaatan Sistem Informasi Perpustakaan dan Arsip (SIPA) di Kabupaten Buleleng dengan berdasarkan menggunakan Model Unified Theory Of Acceptance and Use Of Technology (UTAUT) dengan menggunakan empat variabel bebas yakni  performance expectancy,  effort expectancy, social influence dan  facilitating conditions sebagai variable bebas dengan  behavioral intention dan use behavior sebagai variable terikat dan variable moderator Age, Gender dan experience. Variabel Ekpektansi Kinerja dan variabel Ekspektasi usaha tidak berpengaruh positif terhadap  minat penggunaan Sistem Informasi Perpustakaan. Pengaruh sosial berpengaruh positif terhadap minat penggunaan, Kondisi yang memfasilitasi berpengaruh positif terhadap perilaku penggunaan Sistem Informasi Perpustakaan, Variabel moderator jenis kelamin tidak memperkuat hubungan antara ekspektasi kinerja, ekspektansi usaha dan pengaruh sosial terhadap minat penggunaan Sistem Informasi Perpustakaan. Variabel moderator umur tidak memperkuat hubungan antara ekspektasi kinerja, ekspektansi usaha dan pengaruh sosial dengan minat penggunaan.Variabel moderator  umur  memperkuat hubungan antara  kondisi yang memfasilitasi  dengan  perilaku pengguna, variable moderator pengalaman memperkuat hubungan antara pengaruh sosial terhadap minat penggunaan Sistem Informasi Perpustakaan, variable moderator pengalaman memperkuat hubungan antara kondisi yang memfasilitasi terhadap perilaku pengguna Sistem Informasi Perpustakaan.  Kata Kunci :  Sistem Informasi Perpustakaan,  Ekspektansi Kinerja, Ekspektansi Usaha, Pengaruh Sosial, Kondisi Pemfasilitasi, Minat Penggunaan,  Perilaku pengguna, UTAUT

Factors influencing adoption of payments banks by Indian customers: extending UTAUT with perceived credibility

2019 ◽  
Vol 13 (2) ◽  
pp. 173-195 ◽  
Author(s):  
Kriti Priya Gupta ◽  
Rishi Manrai ◽  
Utkarsh Goel
Keyword(s):  
Behavioral Intention ◽  
Service Providers ◽  
Explanatory Power ◽  
Content Type ◽  
Perceived Credibility ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Factors Influencing ◽  
Migrant Laborers ◽  
Effort Expectancy

Purpose The purpose of this paper is to investigate the factors influencing the behavioral intention to adopt payments banks services by Indian underbanked and unbanked population. Design/methodology/approach The proposed model has assimilated factors from the Unified Theory of Acceptance and Use of Technology (UTAUT) along with perceived credibility. The factors of UTAUT include performance expectancy, effort expectancy, facilitation of conditions and social influence. Apart from testing the direct relationships of the model constructs with the behavioral intention to adopt payments banks services, the study has also explored mediating and moderating effects of certain constructs. The research model has been empirically tested using 660 responses from a field survey conducted in New Delhi – the capital city of India – by using the structured equation modeling (SEM) technique. The target respondents of the study are small businessmen and migrant laborers who are either underbanked or unbanked. Findings The findings of the study reveal that the model is able to explain 67.5 per cent of the variance in behavioral intention. The results indicate that all the factors are direct determinants of behavioral intention. Perceived credibility is found to be the strongest influencer of behavioral intention. The findings also indicate that perceived credibility partially mediates the relationships between “social influence and behavioral intention” and “performance expectancy and behavioral intention.” The relationship between performance expectancy and behavioral intention is also found to be moderated by facilitating conditions and effort expectancy. Research limitations/implications As this study is based on a convenience sample of respondents of only one city of India, this could negatively reflect on the generalizability of results across other cities. Moreover, the study has only focused on the perceptions of small businessmen and migrant laborers. This raises concerns regarding the applicability of the results for other segments of the current population that have different demographic characteristics (e.g. occupation, income, education level and technology experience). Modifying the conceptual model presented in this research to include “experience” and “age” as moderators can also be worth considering in future. Although this study has extended the UTAUT to include perceived credibility, the results of the explanatory power of the model indicate that there is still room for improvement. Therefore, including other constructs, e.g. hedonic motivation, perceived risks and trialability, could be a fruitful path forward. Future studies may also examine the factors influencing the actual use behavior of payments banks, rather than just behavioral intention. Practical implications The study looks forward to providing the payments banks service providers in India with suitable guidelines for effectively implementing and designing payments banks services. Specifically, the results of this study have provided clues for Indian payments banks service providers about the crucial role of perceived credibility in influencing the behavioral intention to adopt payments banks. Therefore, service providers have to initially be sure that payments banks are able to conduct financial transactions efficiently, securely and within less time, along with the availability of information required by customers to successfully use the services. Service providers should enhance customer confidence and trust by providing secure and reliable services. They should also emphasize on the positive safety measures of the payments banks during any marketing campaign rather than just creating brand awareness. Originality/value The study represents a substantial contribution to the existing knowledge regarding mobile payment channels in particular and technology acceptance area in general. In fact, this study presents a worthwhile direction by examining payments banks services, which, so far, have not been well evaluated in the Indian context. To the best of the authors’ knowledge, this is an early attempt toward a holistic and integrative approach to explain adoption of payments banks in India. Although prior studies have addressed mobile banking and mobile payment adoption, the strength of this research lies in combining the UTAUT constructs with perceived credibility. This is evidenced by the high explanatory power (67.5 per cent) of the research model adopted in this study.

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