scholarly journals What Is the Current Development Status of Wearable Device in Industrial 4.0? Using Technology Acceptance Model to Explore the Willingness and Pattern of Usage of the Consumers

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Cheng Liu ◽  
Chin-Shyang Shyu ◽  
Tsung-Yu Chou ◽  
Chao-Chien Chen ◽  
Chien-Hung Wu
Keyword(s):  
Social Support ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Online Survey ◽  
Perceived Usefulness ◽  
Wearable Device ◽  
Background Information ◽  
Perceived Utility ◽  
Acceptance Model ◽  
Positive Effect

The object of the study is to use the technology acceptance model to explore the willingness and pattern of usage of the consumers. 205 valid questionnaires were collected by using the Google online survey platform. Using IBM SPSS and AMOS Statistics 20.0 software, first background information was analyzed, then CFA was used to analyze the relationship between variables, and SEM was used to verify the rationality of the measurement model. The result discovered that there is a positive effect on perceived usefulness by perceived utility of usage by the users. There is a positive effect on usage intention by perceived utility. There is a positive effect on perceived curiosity by perceived utility. There is a positive effect on usage intention by perceived usefulness, and there is a positive effect on usage willingness by social support for the wearable device users. However, there is no positive effect on usage willingness by perceived curiosity. Conclusion. If the industry can provide consumers with a good experience, it will help enhance consumer attitudes, increase consumer willingness, and continue to enhance consumer curiosity. Simply satisfying consumers' curiosity cannot increase consumer willingness, but social support will affect consumers' willingness to use.

scholarly journals Analisis Persepsi Kegunaan, Kemudahan dan Kerumitan Terhadap Data Pemicu di Approweb Pada Kantor Pelayanan Pajak Pratama

2020 ◽  
Vol 1 (1) ◽  
pp. 56-69
Author(s):  
Recky Suhartanto Lawata ◽  
Fadliah Nasaruddin ◽  
Ratna Sari
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
Primary Data ◽  
The West ◽  
Negative Effect ◽  
Acceptance Model ◽  
Positive Effect

Penelitian bertujuan untuk menganalisis pengaruh persepsi kegunaan, kemudahan dan kerumitan Technology Acceptance Model (TAM) terhadap data pemicu di approweb, pada Kantor Pelayanan Pajak Pratama Makassar Barat. Penelitian ini menggunakan data primer melalui survei kepada 36 orang responden dari account representative di Kantor Pelayanan Pajak Pratama Makassar Barat. Teknik pengumpulan data melalui kuesioner data dianalisis dengan menggunakan aplikasi SPSS. Pengujian hipotesis menggunakan analisis regresi berganda. Hasil penelitian ini menunjukkan bahwa kebermanfaatan berpengaruh positif dan signifikan sedangkan kemudahan berpengaruh positif tidak signifikan dan kerumitan berpengaruh negatif signifikan terhadap data pemicu di aplikasi approweb. Hasil penelitian ini membuktikan teori TAM dari persepsi kebermanfaatan data pemicu di aplikasi approweb bermanfaat bagi account representative. The study aims to analyze the effect of perceived usefulness, ease and complexity of the Technology Acceptance Model (TAM) on trigger data in the Approweb, at the West Makassar Pratama Tax Office. This study uses primary data through a survey of 36 respondents from account representatives at the West Makassar Pratama Tax Office. Data collection techniques through data questionnaires were analyzed using the SPSS application. Hypothesis testing uses multiple regression analysis. The results of this study indicate that usefulness has a positive and significant effect while ease of positive effect is not significant and complexity has a significant negative effect on trigger data in approweb applications. The results of this study prove the TAM theory from the perceived usefulness of trigger data in the approweb application is beneficial for account representatives.

scholarly journals Identifying the Predictors of Participation in Facebook Pictivism Campaigns

2017 ◽  
Vol 3 (3) ◽  
pp. 205630511772763 ◽  
Author(s):  
Anne Oeldorf-Hirsch ◽  
Rory McGloin
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Online Survey ◽  
Theory Of Reasoned Action ◽  
Reasoned Action ◽  
Perceived Usefulness ◽  
Equal Sign ◽  
Intention To Participate ◽  
Acceptance Model ◽  
Profile Pictures

In recent years, several online social campaigns have encouraged individuals to change their Facebook profile pictures for a cause, such as the Human Rights Campaign’s red and pink equal sign in support of same-sex marriage. These “pictivism” campaigns allow individuals to express themselves and participate in a low effort campaign to raise awareness about an issue among their social network. Given the prevalence and potential impact of these campaigns, it is important to understand what predicts one’s participation. This study applies elements of the Theory of Reasoned Action and Technology Acceptance Model in an online survey ( N = 300) of Facebook users to investigate which individual and social factors predict participation in these campaigns. Results indicate that attitudes toward participation are predicted by network norms about participation, ease of participation, and perceived usefulness of participation. In turn, these attitudes predict intention to participate and actual participation. These results imply that participation is influenced both by factors surrounding the message of the campaign and by the norms of the network itself. This work extends Theory of Reasoned Action and Technology Acceptance Model to understanding participation in online social campaigns, with considerations for key limitations in this context.

Understanding Intention and Behavior Toward Online Purchase of Agriculture and Fisheries Products Using Extended Technology Acceptance Model

2021 ◽  
Vol 17 (4) ◽  
pp. 118-137
Author(s):  
Junrie B. Matias
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Usage Behavior ◽  
Acceptance Model ◽  
And Behavior

This study investigates the factors affecting the usage behavior and intention towards online purchasing platforms in purchasing agriculture and fisheries products online based on the technology acceptance model. External factors adapted from current literature were integrated with the model to understand the consumer intention and behavior towards online purchasing. An online survey with 318 respondents was used to test the hypotheses of the theoretical model using partial least squares component-based structural equation modeling. Results show that trust is a significant predictor of usage behavior. Furthermore, the factors visibility, perceived risk, perceived value, and enjoyment have directly or indirectly influenced intention and usage behavior through trust, perceived ease of use, and perceived usefulness. The researcher considers this work to have contributed essential inputs to other researchers interested in studying the adoption of online purchasing in fisheries and agriculture products.

scholarly journals Research on the use intention of potential designers of unmanned cars based on technology acceptance model

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256570
Author(s):  
Tianyang Huang
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Perceived Trust ◽  
Perceived Enjoyment ◽  
Acceptance Model ◽  
Positive Effect

The success of unmanned car, an emerging tool of transportation with so many advantages, depends to a large extent on its user acceptability. Potential designers are both the decision makers of driverless car design and the users of driverless cars. This study aims to explore the influencing factors of the potential designers’ intention to use unmanned cars. Based on the theory of Technology Acceptance Model (TAM), this study further expanded the TAM by incorporating perceived trust, perceived enjoyment and self-efficacy, so as to explain and predict potential designers’ intention to use unmanned cars. The questionnaire is determined through theoretical literature, pre-tests, etc., and the Structural Equation Model is used to analyze the data of 202 valid survey samples to investigate the influencing factors of the willingness to use unmanned vehicles. The results show that potential designers’ intention to use unmanned cars is positively affected by perceived trust, perceived enjoyment, perceived usefulness and perceived ease of use, and perceived trust has a positive effect on perceived ease of use, self-efficacy and perceived ease of use also have a positive effect on perceived usefulness. The findings of this study can provide designers and developers of unmanned cars, policy makers and implementers with guidance in the follow-up design, policy formulation and advertising of unmanned cars.

scholarly journals MODELLING TRAVELLERS’ ROUTE SWITCHING BEHAVIOUR IN RESPONSE TO VARIABLE MESSAGE SIGNS USING THE TECHNOLOGY ACCEPTANCE MODEL

Transport ◽  
2020 ◽  
Vol 35 (5) ◽  
pp. 533-547
Author(s):  
El Bachir Diop ◽  
Shengchuan Zhao ◽  
Shuo Song ◽  
Tran Van Duy
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Latent Variables ◽  
Perceived Usefulness ◽  
Traffic Information ◽  
Causal Relationships ◽  
Variable Message Signs ◽  
Acceptance Model ◽  
Message Signs ◽  
Positive Effect

Recent studies adopted models of user acceptance of information technology to predict and explain drivers’ acceptance of traffic information. Among these frameworks, the most commonly used is the Technology Acceptance Model (TAM). However, TAM is too general and does not consider drivers’ response in specific traffic conditions or choice scenarios. This study combines an extended TAM with different choice scenarios displayed by Variable Message Signs (VMS) into a Hybrid Choice Model (HCM). Two models are proposed. The first model takes into account the causal relationships among latent variables based on the following hypotheses: Information Quality (IQ) has a positive effect on Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) which, in turn, have a positive effect on the Behavioural Intention (BI) to use traffic information. In the second model, the four latent variables PU, PEOU, IQ, and BI are directly added to the utility function without any causal relationships. 339 drivers with valid licence were interviewed via Stated Preference (SP) survey and the results show that TAM can explain travellers’ response to VMS if the causal relationships among latent variables are taken into account. In addition, all hypothesized relationships are strongly supported. Practical and academic implications are also discussed.

scholarly journals FACTORS AFFECTING E - TOURISM SERVICES BY DOMESTIC TOURISTS TO NHA TRANG CITY, KHANH HOA

2015 ◽  
Vol 18 (1) ◽  
pp. 57-67
Author(s):  
Manh Hong Pham
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Factors Affecting ◽  
Google Docs ◽  
Five Factors ◽  
Acceptance Model ◽  
Tourism Services

This paper aims to analyze the effect of factors on the usage of e-tourism services by domestic tourists to Nha Trang employing consumer behavior theory and extended technology acceptance model (TAM) by David (1989). The study was conducted via online survey of tourists to Nha Trang on Google docs. The results indicate that the model explains 32.70% the variability of factors that affect the usage of e-tourism services by tourists. Four out of five factors are statistically significant at 1% and 5% levels, which are perceived usefulness, ease of use, convenience and trust. The author offered some suggestions for the development of online tourism services to companies in Nha Trang city.

scholarly journals Viewing Sports Online during the COVID-19 Pandemic: The Antecedent Effects of Social Presence on the Technology Acceptance Model

2021 ◽  
Vol 14 (1) ◽  
pp. 341
Author(s):  
Chia-Jung Chang ◽  
Bryan Cheng-Yu Hsu ◽  
Mei-Yen Chen
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Amazon Mechanical Turk ◽  
Equation Modeling ◽  
Acceptance Model

The outbreak of COVID-19 in 2020 has posed several challenges to the sporting industry, caused by the change in behavior of sporting fans from purchasing event tickets to watching live broadcasts of events on the Internet. This study aims to gain a deeper understanding of fan behavior in this “new normal”. It adopts a technology acceptance model (TAM) to explore the effects of social presence (SP) in the context of online viewing of professional sports. For this purpose, the authors conducted an online survey of viewers who watched NBA sports events on the Amazon Mechanical Turk website using the Together Mode feature of Microsoft Teams. We collected 209 valid questionnaires and performed a partial least squares structural equation modeling analysis. The results showed that the SP-TAM structural model has adequate predictive relevance, and SP has a statistically significant positive relationship with both perceived ease of use and perceived usefulness. The model was thus validated, contributing to the existing body of knowledge on emerging technologies such as the creation of a virtual audience in sports. The study’s findings suggest that technology developers should focus on the effects of SP and emphasize practical functions to increase the use intention of sporting fans. Furthermore, professional sporting leagues should prioritize the use of virtual fan technology to optimize the viewing experience of their fans.

scholarly journals Perceived convenience in an extended technology acceptance model: Mobile technology and English learning for college students

2012 ◽  
Vol 28 (5) ◽  
Author(s):  
Chi-Cheng Chang ◽  
Chi-Fang Yan ◽  
Ju-Shih Tseng
Keyword(s):  
College Students ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Learning ◽  
Mobile Technology ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Positive Effect

<span>Since convenience is one of the features for mobile learning, does it affect attitude and intention of using mobile technology? The technology acceptance model (TAM), proposed by David (1989), was extended with perceived convenience in the present study. With regard to English language mobile learning, the variables in the extended TAM and its explanatory power were analysed and antecedent factors that affected acceptance of English mobile learning were also examined. Participants were 158 college students from the middle part of Taiwan. After conducting English mobile learning with a PDA, data was collected by questionnaires. The results revealed that: a) perceived convenience, perceived ease of use and perceived usefulness were antecedent factors that affected acceptance of English mobile learning; b) perceived convenience, perceived ease of use and perceived usefulness had a significantly positive effect on attitude toward using; and c) perceived usefulness and attitude toward using had a significantly positive effect on continuance of intention to use. Overall, the extended TAM in the present study was effective at predicting and explaining the acceptance of English mobile learning. In the past, there were few mobile learning related studies examining the relationships between perceived convenience and other variables in the TAM. Therefore, the findings in the present study provide a reference for the future TAM and mobile learning related studies.</span>

scholarly journals Acceptance of and satisfaction with online educational classes through the technology acceptance model (TAM): the COVID-19 situation in Korea

2021 ◽  
Author(s):  
Jee-Hoon Han ◽  
Hye Ji Sa
Keyword(s):  
Online Education ◽  
University Students ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Online Classes ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Positive Effect

AbstractThis study examines the current state of acceptance of online classes using the technology acceptance model. The background of the study is the turning point in Korean education in response to the COVID-19 pandemic and speculation about changes in the post-COVID educational environment. To measure the acceptance rate of online classes, a survey was conducted on a total of 313 university students taking online classes. The data were analyzed using structural equation modeling. The results of the study are as follows: First, the perceived ease of use of online classes showed a positive effect on perceived usefulness. Second, both the perceived ease of use and usefulness of online classes showed a positive effect on educational satisfaction. Third, both the perceived usefulness and satisfaction showed a positive effect on the acceptance intention of online education. However, the perceived ease of use did not have a positive effect on acceptance intention. These results suggest that satisfaction with online education can be further improved by developing online classes that are easy to use, focusing on the features that are frequently used by university students. In addition, universities should continuously provide training and advice to increase students’ perceived usefulness of online classes.

scholarly journals Integration of Technology Readiness Index (TRI) Into the Technology Acceptance Model (TAM) for Explaining Behavior in Adoption of BIM

2020 ◽  
Vol 5 (2) ◽  
pp. 10
Author(s):  
Yin Ling Lai ◽  
Joseph Lee
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Online Survey ◽  
Primary Objective ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Technology Readiness ◽  
Perceived Ease Of Use ◽  
Actual Usage ◽  
Acceptance Model

Recently, Building Information Modelling (BIM) technology has attracted much attention in the Architecture, Engineering and Construction (AEC) industry and is becoming globally-recognized standards. The primary objective of this study is to gain better understanding of the drivers and barriers to the adoption of BIM.There is abundance of theories on technology adoption among which this study applies the Technology Acceptance Model (TAM) proposed by Davis (1989) to analyze the adoption and the use of the BIM technology by exploring implications of perceived ease of use, perceived usefulness, attitudes, behavioral intention and actual usage. In addition, this study integrates Technology Readiness Index (TRI) to explain adoption of BIM.With data collected through an online survey, findings of this study will assist in explaining behavior in adoption of BIM that may facilitate realizing the advantages of the BIM technology.

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