Radiation Oncologists' Perceptions of Adopting an AI-Assisted Contouring Technology (Preprint)

2021 ◽  
Author(s):  
Huiwen Zhai ◽  
Xin Yang ◽  
Jiaolong Xue ◽  
Christopher Lavender ◽  
Tiantian Ye ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Health Care Professionals ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Structural Equation ◽  
Equation Modeling ◽  
Chinese Context ◽  
Utaut Model ◽  
Radiation Oncologists ◽  
Facilitating Conditions

BACKGROUND The AI assisted contouring system benefits radiation oncologists in terms of saving time and improving treatment accuracy. There is much hope and fear around such technologies, and it is the fear which can emanate as resistance for health care professionals, leading to the failure of AI projects. OBJECTIVE The objective of this research was to develop and test a model investigating the factors that drive radiation oncologists’ acceptance of the AI contouring technology in the Chinese context. METHODS A model of AI assisted contouring technology acceptance based on the UTAUT model adding variables of perceived risk and resistance was proposed in this study. The model included eight constructs with 29 questionnaire items and 307 respondents completed the questionnaires. Structural equation modeling (SEM) was conducted to evaluate item the model's path effects, significance and fitness. RESULTS The overall fitness indices for the model were evaluated showing the hypothesized model has a good fit to the data. Behavioral intention was significantly affected by performance expectancy (beta=.155; P=.014), social influence (beta=.365; P<.001), and facilitating conditions (beta=.459; P<.001). Effort expectancy (beta=.055; P=.450), perceived risk (beta=.-048; P=.348), and resistance bias (beta=–.020; P=.634) did not significantly affect behavioral intention. CONCLUSIONS The physicians' overall perception of the AI assist technology for radiation contouring were high. Technology resistance among Chinese radiation oncologists was low and not related to behavioral intention. Not all of the factors in Venkatesh's UTAUT model apply to physicians' AI technology adoption in the Chinese context.

Impact of demonetization on diffusion of mobile payment service in India

2019 ◽  
Vol 16 (4) ◽  
pp. 472-497 ◽  
Author(s):  
Neharika Sobti
Keyword(s):  
Behavioral Intention ◽  
Perceived Risk ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Content Type ◽  
Utaut Model ◽  
Payment Services ◽  
Facilitating Conditions ◽  
The Impact

PurposeThe purpose of this paper is to explore the antecedents of the behavioral intention and adoption of mobile payment services like m-wallets and m-banking by users in India. This is done by examining the diffusion of mobile payment technology within an extended framework of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study attempts to extend the UTAUT model further by introducing three more constructs, namely- perceived cost, perceived risk and demonetization effect and analyzes the impact of demonetization that happened in India from November 8, 2016 to December 30, 2016 on the mobile payment service adoption process. Demonetization event is a case in point to assess whether forced adoption breaks the normal diffusion process or lends support to the same in the long term.Design/methodology/approachA survey was conducted in order to gauge the intention behind the adoption of mobile payment modes by users in India. The questionnaire was administered online solely and 880 responses were received within a period of 20 days from February 3, 2017, to February 23, 2017, using Google Forms as a medium. Usable responses were 640. The study adopted partial least square based structural equation modeling (PLS-SEM) technique to analyze the relation between latent variables: performance expectation, effort expectation, social influence, facilitating conditions, perceived cost, perceived risk, demonetization effect, behavioral intention and usage. For this purpose, SmartPLS3.0 software was used to create path diagrams and calculate estimate the significance of factor loadings using the bootstrap technique.FindingsThe key results indicates that behavioral intention, demonetization and facilitating conditions have a positive and significant impact on the adoption of mobile payment services in India. Overall, Model 3, which was extended UTAUT model, was observed to be a better model in explaining the antecedents of behavioral intention and usage. In addition to UTAUT antecedents, perceived cost and perceived risk proved to have additional explanatory power as antecedents of behavioral intention. Age acts as a moderating variable consistently across three models, implying that younger users give more importance to effortless interface of mobile payment services and get more influenced by peers and society that shapes their intention to use mobile payment services.Originality/valueIt is first of its kind attempt to assess the role of Demonetization in examining the antecedents of behavioral intention and adoption of mobile payment services by users in India under an extended UTAUT model. This study comprehensively examined the impact of forced adoption of mobile payment services by users in India in a natural setting provided by demonetization event that took place in India by conducting a primary survey right itself in the month of February, 2017 to get first hand response from the Indian users.

The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

2018 ◽  
Vol 9 (4) ◽  
pp. 86-104
Author(s):  
Frederick Pobee ◽  
Daniel Opoku
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Performance Expectancy ◽  
Adoption Factors ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions

The purpose of this article was to investigate the moderating effects of gender on e-commerce systems adoption factors among university lecturers in Ghana. In order to achieve this purpose, the unified theory of acceptance and use of technology (UTAUT) was used as the theoretical lens for the study. Eight hypotheses were developed and tested. Data analysis was performed with a structural equation modeling (SEM) technique using SmartPLS Application. Using a survey of 223 respondents, the study showed that factors such as performance expectancy, effort expectancy, and facilitating conditions positively and significantly influenced Ghanaian lecturers' behavioral intention and ultimately the actual use of e-commerce systems. As for the moderating effects of gender, this study discovered that gender insignificantly moderated the effects of performance expectancy, effort expectancy and social influence on behavioral intention.

scholarly journals Investigasi Faktor Yang Mempengaruhi Behavioral Intention Pada Pengguna Grab Bike

2019 ◽  
Vol 3 (2) ◽  
pp. 94
Author(s):  
Sulaiman Sulaiman ◽  
Zainal Abidin ◽  
Suharno Suharno
Keyword(s):  
Structural Equation Modeling ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Software Analysis

Tujuan penelitian ini mengetahui pengaruh behavioral intention (BI) terhadap transportasi online grab bike dengan menggunakan variabel trust, perceived ease of use (PEOU), perceived risk (PR) dan perceived usefulness (PU). Sebanyak 161 orang menjadi responden dalam penelitian ini dengan cara mengisi kuesioner. Data yang diperoleh kemudian dianalisis menggunakan alat analisis Structural Equation Modeling (SEM) dengan menggunakan software analysis of moment structure (AMOS). Setelah dilakukan penelitian diperoleh hasil bahwa PR berpengaruh signifikan terhadap trust, PEOU  berpengaruh signifikan terhadap trust, PU berpengaruh signifikan terhadap trust. Begitu pula pengaruh PR signifikan terhadap behavioral intention, PEOU, PU signifikan terhadap behavioral intention, serta trust signifikan terhadap behavioral intention.

Examining the Contributing Factors for Cloud Computing Adoption in a Developing Country

2019 ◽  
pp. 1663-1685
Author(s):  
Winfred Yaokumah ◽  
Rebecca Adwoa Amponsah
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Model ◽  
Contributing Factors ◽  
Cloud Adoption ◽  
Cloud Computing Adoption ◽  
Enhance Efficiency ◽  
Facilitating Conditions

The growth in cloud computing adoption is phenomenal in organizations worldwide due mainly to its potential to increase productivity and enhance efficiency in business operations. However, cloud adoption is very low in many organizations in the developing countries. To gain insights into organizations' behavioral intention and usage behavior of cloud computing, based on the Extended Unified Technology Acceptance and Use Theory, the current study investigated the effects of technological, organizational, and environmental factors on cloud adoption in organizations. Using samples from five industry sectors and by employing the Structural Equation Model, the study found that facilitating conditions, habit, performance expectancy, and price value had positive and significant effect on behavioral intention to use cloud computing. But, effort expectancy, social influence, lack of motivation, and inadequate security were found to be barriers to cloud adoption. These findings could contribute toward better formulation of planning guidelines for successful adoption of cloud computing.

The Factors Influencing Taxpayers' Acceptance of E-Taxation System

2015 ◽  
pp. 105-121
Author(s):  
Adnan Gercek ◽  
Tolga Demirbas ◽  
Filiz Giray ◽  
Ayse Oguzlar ◽  
Mehmet Yuce
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Model Performance ◽  
Equation Modeling ◽  
Intention To Use ◽  
Government Services ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Taxation System

E-taxation is one of the most popular e-government services. Most countries are focused on implementing an e-taxation system. The success of an e-taxation system depends on the taxpayers' acceptance of it. The taxpayers' intention to use an e-taxation system is determined by various factors. This chapter, based on empirical data collected from a survey of 505 respondents in Turkey, seeks to identify the factors that influence the taxpayers' acceptance of e-taxation system. It test various constructs of the UTAUT model – performance expectancy, trust perception, perceived risk, effort expectancy and facilitating conditions – on Turkish taxpayers' intention to use the e-taxation system. Structural equation modeling is used to analyze the effects of these variables on intention to use. The results indicate that performance expectancy and perceived risk have a significant impact on behavioral intention and that effort expectancy and facilitating conditions have a significant impact on intention to use.

scholarly journals A Study of the Adoption and Implementation of Enterprise Resource Planning (ERP): Identification of Moderators and Mediator

2019 ◽  
Vol 6 (1) ◽  
pp. 2 ◽  
Author(s):  
Md. Aftab Uddin ◽  
Mohammad Sarwar Alam ◽  
Abdullah Al Mamun ◽  
Tohid-Uz-Zaman Khan ◽  
Ayesha Akter
Keyword(s):  
Enterprise Resource Planning ◽  
Structural Equation ◽  
Resource Planning ◽  
Equation Modeling ◽  
Extended Model ◽  
Utaut Model ◽  
Adoption And Implementation ◽  
Actual Use ◽  
Facilitating Conditions ◽  
The Impact

Given the dearth of studies in developing and Asian countries’ context, the present study attempts to excavate the predictors of enterprise resource planning (ERP) adoption and implementation. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model and open innovation literature, an extended model is proposed encompassing mediator and moderator variables. The study follows the deducting reasoning approach with the positivism paradigm. Out of 235 responses, the study used 225 replies collected through a self-administered sampling, and the data were analyzed by using PLS-based structural equation modeling. The study revealed that the hypothesized direct influences are significant except the influence of facilitating conditions on actual use. Likewise, the intention to use mediates the impact of facilitating conditions on the actual use of ERP. However, there is no moderating effect of education and firms’ size among the hypothesized influence. The study contributes to advance the previous findings by using an extended UTAUT model and validates results with the rest of the world.

Factors influencing Generation Y’s tourism-related social media activity: the case of Polish students

2020 ◽  
Vol 11 (3) ◽  
pp. 543-558
Author(s):  
Joanna Kowalczyk-Anioł ◽  
Marek Nowacki
Keyword(s):  
Social Media ◽  
Social Influence ◽  
Technology Acceptance ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Related Activity ◽  
Content Type

Purpose This study aims to identify the factors which affect Generation Y’s activity in social media (SM) while traveling. It draws on and extends the technology acceptance model (TAM) and social influence theory. It examines the effects of social influence processes (compliance, identification and internalization), perceived enjoyment (PE), perceived risk, perceived ease of use and perceived usefulness on tourism-related SM activity. Design/methodology/approach The study tested the model with a sample of 420 Polish Y’s who had traveled in the preceding 12 months and used SM. The verification of the hypotheses and the analysis of relationships between the variables were performed using partial least squares structural equation modeling. Findings Out of the four variables of the TAM, only PE has significantly and directly affected Ys’ tourism-related activity in SM. From among the three processes of social influence, only internalization has had a significant impact on the enjoyment of SM use and, consequently, on the SM activity of Generation Y. Research limitations/implications This study covered only Polish Y’s. In the future, the formulated hypotheses should be verified in other generational cohorts, in sub-cohorts of Y’s and in other cultural contexts. Furthermore, limitations include lack of randomization of the survey distribution. Practical implications The presented results show a generational portrait of an increasingly important consumer group on the tourism market in relation to factors affecting their tourism-related activity in SM. Originality/value This is one of few studies (the first in the Central and Eastern Europe context) to examine Generation Y’s adoption of SM in tourism-related activity drawing on and extending the TAM and processes of social influence.

Factors influencing the adoption of crowdfunding in Bangladesh: a study of start-up entrepreneurs

2019 ◽  
pp. 026666691989555
Author(s):  
Mohammad Tariqul Islam ◽  
Muhammad Tahir Abbas Khan
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Perceived Trust ◽  
Intention To Adopt ◽  
Use Of Technology ◽  
Start Up ◽  
Actual Use ◽  
Facilitating Conditions ◽  
Use Behavior

Despite widespread adoption of crowdfunding for funding social donation projects, its adoption among start-up entrepreneurs is significantly low, in developing countries in particular. Research has been performed to investigate the crowdfunding adoption intention of start-up entrepreneurs in Bangladesh. This study aimed to identify the motivation behind the intentions of the entrepreneurs to adopt crowdfunding, using the Unified Theory of Acceptance and Use of Technology (UTAUT) model with extensions. Empirical data were collected from 317 respondents and analyzed using Partial Least Squares-based Structural Equation Modeling (PLS-SEM). The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions and perceived trust mpact significantly ion the entrepreneurs’ behavioral intention to adopt crowdfunding. In contrast, trialability and perceived trust were not found to be significant determinants. However, trialability has a significant positive relation with use behavior or actual use, whereas no significant relationship has been identified between behavioral intention and use behavior.

Student Acceptance of University Web Portals

2014 ◽  
Vol 6 (2) ◽  
pp. 42-58 ◽  
Author(s):  
Nafsaniath Fathema ◽  
Margaret Ross ◽  
Maria Martinez Witte
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Explanatory Power ◽  
Equation Modeling ◽  
Web Portals ◽  
Basic Services ◽  
Acceptance Model ◽  
Facilitating Conditions ◽  
Practical Implications

A large number of university web portal's content and design do not meet today's students' expectations and requirements. To address students' expectations, universities spend millions on the redesign and maintenance of their web portals which students say are inadequate and lack basic services. To this end, this study explored the factors that influence students' acceptance of university web portals. It proposed an extension of Davis's (1989) Technology Acceptance Model (TAM) by adding three user related external constructs in it. A total of 429 usable responses were collected from university students through a web survey. Data were analyzed using structural equation modeling. The results of the study revealed that website quality, perceived self-efficacy, and facilitating conditions were significant in explaining students' use of university web portals and therefore, indicated that the extended TAM has sufficient explanatory power to explain students' usage of university web portals. In conclusion, important theoretical and practical implications of the results are presented for both researchers and practitioners.

scholarly journals User Acceptance of Internet of Vehicles Services: Empirical Findings of Partial Least Square Structural Equation Modeling (PLS-SEM) and Fuzzy Sets Qualitative Comparative Analysis (fsQCA)

2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Yikai Liang ◽  
Guijie Zhang ◽  
Feng Xu ◽  
Weijie Wang
Keyword(s):  
Structural Equation Modeling ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Structural Equation ◽  
Trust Model ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Market ◽  
Initial Trust

Recently, IoV-based services and vehicles have come to the forefront as part of the growing market for the automobile industry. Since IoV-based services and vehicles were introduced, they have been expected to grow rapidly. However, contrary to optimistic expectations for future market growth, the IoV-based services and vehicles market has appeared to hit a roadblock and remains at an early market stage. Therefore, research of the determinants leading to consumers’ intention to accept and purchase IoV-based services and vehicles is significant for either academics or practitioners. Drawing upon the extended unified theory of acceptance and use of technology acceptance model (UTAUT2), the perceived risk theory, and the initial trust model, we developed an integrated conceptual model and explored what and how various determinant antecedent conditions fit together on consumer intention to accept IoV-based services and vehicles. The proposed model and hypotheses were assessed by both symmetric (partial least square structural equation modeling, PLS-SEM) and asymmetric (fsQCA) approaches using online survey datasets with 362 Chinese consumers. The findings suggest that PLS-SEM and fsQCA are complementary analytical techniques providing comparable results. PLS-SEM results indicate that performance expectancy, price value, habit, and initial trust have significant effects on behavioral intention to accept IoV services. Despite other determinants, e.g., effort expectancy, social influence, facilitating conditions, hedonic motivation, and perceived risk, have no significant effect. FsQCA results reveal twelve different configurations of determinants resulting in a high level of behavioral intention to accept IoV services, and eight causal paths equifinally leading to the negation of behavioral intention to accept IoV services. These findings suggest that several conditions that were not significant in PLS-SEM are sufficient conditions when combined with other conditions. This study enriches relevant research studies on IoV-based services acceptance and provides relevant insights and marketing suggestions for incentivizing consumers to accept the IoV-based services.

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