User Acceptance of Autonomous Public Transport Systems (APTS): Extended UTAUT2 Model

The purpose of this study is to investigate the factors affecting the acceptance and use of the APTS by its potential users. To achieve this, an integrated and expanded user acceptance model is introduced to explain the factors affecting the Behavioral Intention to use the APTS. A total of 316 surveys were conducted, from 275 participants by online surveys and 41 participants by face to face interviews. With the data that are acquired from Public Transportation (PT) users in Istanbul, the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Model is modified and Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Habit, Trust and Safety, Perceived Usefulness, Perceived Risk and Behavioral Intention constructs are utilized in the model. Age, gender and frequency of PT usage are included in the model to examine the moderating effect on the constructs while the model is tested with Structural Equation Modeling (SEM). The proposed model explains the 72 % of variances in this study which proves that the model has stronger predictive power compared with the previous Technology Acceptance Model (TAM) and UTAUT models. Performance Expectancy, Social Influence, Habit, and Trust and Safety constructs are concluded to have significant positive effects on Behavioral Intention. Public usage and acceptance are necessary for the complete utilization of APTS. The findings of these studies are hoped to guide the decision-makers of the PT industry to understand the factors affecting the use and acceptance of APTS and take the actions accordingly.

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Technology Acceptance Of Information Services

10.14738/eb.66.2020 ◽

2020 ◽

Author(s):

Mei-Ling Luo

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Behavioral Intention ◽

Mass Communication ◽

User Acceptance ◽

Integrated Model ◽

Information Services ◽

Perceived Usefulness ◽

Equation Modeling ◽

Acceptance Model

The goal of this research is to develop and test a theoretical model of the effects of intrinsic and extrinsic motivations on user acceptance of Internet-based information services. The model, referred to as the integrated model of technology acceptance, is being developed with two major objectives. First, it should improve our understanding of user acceptance behavior, providing new theoretical insights into the successful design and implementation of Internet-based information services. Second, the integrated model should provide the theoretical basis for a practical system design and analysis approach that would enable practitioners to develop new information services or modify their current services. For user acceptance to be viable, the model of user acceptance must be valid. The present research takes several steps toward establishing a valid motivational model of the user, and aims to provide the foundation for future research that will lead toward this end. Research steps taken in the present research include: (1) choosing U&G (Uses and Gratifications) theory, a well-studied theoretical approach from mass communication to formulate an integrated technology acceptance model with TAM (Technology Acceptance Model); (2) developing and pre-testing the measures for the model’s factors in two pilot studies; (3) conducting two rounds of data collection and analyze them to prove that the integrated model is applicable to the present context; (4) reviewing literature in both information systems and mass communication to demonstrate that empirical support exists for various elements of the proposed model, and (5) using advanced statistical technique, structural equation modeling (SEM), to test the model’s structure. The results confirm our proposed integrated model. The model posits that entertainment motivation is another important factor in determining the use of online services in addition to the behavioral intention, as postulated by TAM. The integrated model also confirms that TAM’s belief constructs, perceived ease of use and perceived usefulness, are predictors of behavioral intention. Furthermore, perceived usefulness predicts behavioral intention. It also argues that the level of use influences the degree of satisfaction. Satisfaction is a construct that is heavily studied due to its important role as an indicator of system success.

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Users’ response toward online doctor consultation platforms: SOR approach

Management Decision ◽

10.1108/md-02-2021-0268 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Sandeep Goyal ◽

Sumedha Chauhan ◽

Parul Gupta

Keyword(s):

Social Influence ◽

Behavioral Intention ◽

Structural Equation ◽

Health Anxiety ◽

Perceived Value ◽

Perceived Usefulness ◽

Equation Modeling ◽

Technology Usage ◽

Content Type ◽

Behavioral Attributes

PurposeThis study aims to investigate the external and internal stimuli, which affect the organismic experiences of the users and thereby influence their response in terms of behavioral intention toward the use of online doctor consultation platforms.Design/methodology/approachThe study operationalized the stimulus–organism–response framework for the research model and surveyed 357 users in India who had experienced online doctor consultation platforms. The analysis has been done using the structural equation modeling approach.FindingsThe authors’ main results indicate the following key points. One, perceived usefulness, social influence, health anxiety, offline consultation habit and perceived technology usage risk are significant predictors of perceived value. In contrast, perceived ubiquity is identified to be an insignificant predictor of perceived value. Second, social influence and perceived technology usage risk have significant influence on trust. However, perceived usefulness is not a significant predictor of trust.Research limitations/implicationsThis study contributes to the theory by integrating technology-oriented factors with behavioral attributes for determining the behavioral intention of users toward the online doctor consultation platforms.Practical implicationsThe managerial contributions of this study involve highlighting those technology-oriented and behavioral elements, which can be targeted to attract more users toward these platforms.Originality/valueThis is an original study that has looked beyond the role of technology-oriented factors in influencing the perceived value and trust elements while investigating the behavioral intention among the users toward the online doctor consultation platforms.

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Modeling Factors Affecting Student’s Usage Behaviour of E-Learning Systems in Lebanon

International Journal of Business and Management ◽

10.5539/ijbm.v11n2p299 ◽

2016 ◽

Vol 11 (2) ◽

pp. 299 ◽

Cited By ~ 20

Author(s):

Ra'ed (Moh'd Taisir) Masa'deh ◽

Ali Tarhini ◽

Ashraf Bany Mohammed ◽

Mahmoud Maqableh

Keyword(s):

Social Influence ◽

Learning Systems ◽

Behavioural Intention ◽

Equation Modeling ◽

Positive Effects ◽

Performance Expectancy ◽

Effort Expectancy ◽

E Learning ◽

Facilitating Conditions ◽

The Impact

<p>This study seeks to explore the factors that influence students’ usage behaviour of e-learning systems. Based on the strong theoretical foundation of the TAM, UTAM and using structural equation modeling (SEM) via AMOS 20.0, this research paper examines the impact of performance expectancy, effort expectancy, hedonic motivation, habit, social influence, and trust on student’s behavioural intention, which is later examined along with facilitating conditions on student’s usage behaviour of e-learning systems. Data was collected from students at two universities in Beirut (capital of Lebanon) using a cross-sectional questionnaire survey between January and March 2015. The results revealed direct positive effect of performance expectancy, hedonic motivation, habit, and trust on student’s behavioural intention to use e-learning explaining around 71% of overall behavioural intention. Meanwhile, behavioural intention and facilitating conditions accounted for 40% with strong positive effects on student’s usage behviour of e-learning systems. However, both effort expectancy and social influence did not impact student’s behavioural intention.</p>

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An Analysis of Bitcoin Acceptance in Indonesia

ComTech Computer Mathematics and Engineering Applications ◽

10.21512/comtech.v8i4.3885 ◽

2017 ◽

Vol 8 (4) ◽

pp. 241 ◽

Cited By ~ 5

Author(s):

Fergyanto E. Gunawan ◽

Rizki Novendra

Keyword(s):

Social Influence ◽

Behavioral Intention ◽

Influence Factor ◽

Statistical Significance ◽

Multivariate Regression Analysis ◽

P Value ◽

Factors Affecting ◽

Performance Expectancy ◽

The Social ◽

High Level

This research intended to understand the factors affecting the acceptance of Bitcoin technology in Indonesia. It adopted the model of Unified Theory of Acceptance and Use of Technology (UTAUT), which took into account four influencing factors. Those were performance expectancy, effort expectancy, social influence, and facilitating conditions. The factors of gender and age were assumed to moderate the relations between those four factors and use and behavioral intention. The empirical data for those factors were collected by questionnaires from 49 respondents. The statistical significance of the relationships was evaluated by multivariate regression analysis. The result is a model that matches the data with R2 = 0,678. It demonstrates a high level of fitness. The analysis suggests that the performance expectancy factor and the social influence factor greatly affect the behavioral intention to use Bitcoin with the values of t-statistic of 3,835 (p-value = 0,000) for the former factor and 1,948 (0,059) for the latter factor. However, the social influence factor has less profound effect on the behavioral intention.

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Analisis Determinasi Pemanfaatan Accurate Online dengan Menggunakan Model UTAUT

Kompak :Jurnal Ilmiah Komputerisasi Akuntansi ◽

10.51903/kompak.v14i2.429 ◽

2021 ◽

Vol 14 (2) ◽

pp. 204-214

Author(s):

Silvi Febri Widiyawati ◽

Eko Wahjudi

Keyword(s):

Data Analysis ◽

Behavioral Intention ◽

Structural Equation ◽

Sampling Technique ◽

Financial Accounting ◽

Equation Modeling ◽

Performance Expectancy ◽

Analysis Technique ◽

Effort Expectancy ◽

Acceptance Model

This study aims to examine the factors that influence the behavior of using accurate online in computer accounting subjects based on the acceptance model and use of UTAUT technology. This research is quantitative. The population in this study were 81 students majoring in financial accounting SMK IPIEMS Surabaya institutions, with a research sample of 44 people. Samples were taken based on the purposive sampling technique with the criteria of students who have or are currently taking computer accounting subjects. Data were collected using a questionnaire. The data analysis technique used in this research is the analysis technique of Structural Equation Modeling (SEM). The results show there is a significant positive indirect effect between performance expectancy, effort expectancy and social influence towards the behavior of using accurate online with behavioral intention as a mediating variable.

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Analisis Behavioral Intention Pada Layanan Aplikasi RCTI+

Jurnal Manajemen Bisnis dan Kewirausahaan ◽

10.24912/jmbk.v4i5.9212 ◽

2020 ◽

Vol 4 (5) ◽

pp. 199

Author(s):

Anggit Mardiana Permatasari ◽

Hetty Karunia Tunjungsari

Keyword(s):

Social Influence ◽

Behavioral Intention ◽

Structural Equation ◽

Negative Influence ◽

Equation Modeling ◽

Moderator Variable ◽

Performance Expectancy ◽

Digital Era ◽

Effort Expectancy ◽

Facilitating Conditions

The current era is called the information age, where humans really need information. The existence of the internet on smartphones makes it easier for humans to get information and enjoy content wherever and whenever. One of the content services in Indonesia is the MNC Group's RCTI + application. Although RCTI + is a new company, RCTI + has an active number of users of 302,569 until November 2019. RCTI + has a fairly high market share because the digital era is growing rapidly. This study measures the interest of users of RCTI + applications in Indonesia by using a modified UTAUT2 research model, where researchers analyze the variables Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Habit, and Content on Behavioral Intention. The data used in this study were 89 valid respondents obtained online using a questionnaire. Respondents are users of the RCTI + application. Researchers used Structural Equation Modeling (SEM) with SmartPLS software version 3.0 to test hypotheses. The results showed that Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Habit and Content had an influence on Behavioral Intention. However, Hedonic Motivations has a negative influence on Behavioral Intention. The Age variable as a moderator variable influences Content on Behavioral Intention, while Gender has no effect. This study resulted in an R2 of 0,900 and included in the moderate category. This research, has found that the variable that most influences Behavioral Intention is Habit.

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Data Mining Menggunakan Algoritma Apriori dalam Rekomendasi Produk Restoran

Jurnal Edukasi dan Penelitian Informatika (JEPIN) ◽

10.26418/jp.v7i3.49606 ◽

2021 ◽

Vol 7 (3) ◽

pp. 351

Author(s):

Laurentinus Laurentinus

Keyword(s):

Data Mining ◽

Social Influence ◽

Behavioral Intention ◽

User Acceptance ◽

Acceptance Testing ◽

Performance Expectancy ◽

Effort Expectancy ◽

Data History ◽

Use Behavior

Pemanfaatan teknologi Data mining kini telah banyak diterapkan di perusahaan besar di berbagai aspek. Namun sayangnya, masih banyak usaha-usaha di Indonesia yang belum memanfaatkan teknologi data mining dalam meningkatkan rencana strategis usaha kedepan, data-data yang masuk ke perusahaan hanya menjadi data history, masuk ke arsip perusahaan dan akhirnya dibiarkan tersimpan. Perusahaan dituntut memberikan layanan yang mudah dan cepat kepada customer serta menentukan strategi bisnis kedepannya, khususnya pada Restoran Bahari Bangka Belitung dalam melayani wisatawan mendapatkan fakta bahwa wisatawan sangat sulit menentukan produk yang ingin dipesan dan meminta rekomendasi kepada pelayan. Berdasarkan masalah yang dihadapi ini dapat diselesaikan dengan memanfaatkan data transaksi yang diolah dalam memberikan rekomendasi produk atau menu unggulan yang terkait untuk kepentingan pemasaran. Data mining melakukan penggalian data yang sudah tersimpan dalam jangka waktu tertentu untuk dijadikan refrensi didalam memberikan rekomendasi. Algoritma dalam penelitian ini adalah algoritma apriori berbasis website dan android dengan menggunakan metode prototype. Hasil dari penelitian ini yaitu rekomendasi apriori terhadap produk dalam bentuk aturan asosiatif atau pola transaksi customer dengan cara mengumpulkan data transaksi lalu dengan eksperimen dataset sejumlah 274 transaksi dihitung menggunakan algoritma Apriori dengan nilai support minimal 50 dan nilai confidence minimal 75%. Pengujian User Acceptance Testing dari 6 variabel dengan detail 10 pertanyaan mengenai effort expectancy, social influence, performance expectancy, use behavior, supporting facilitating dan behavioral intention menghasilkan indeks rata-rata sebesar 90.4%.

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Factors affecting green food purchase intention in Ho Chi Minh city

HCMCOUJS - ECONOMICS AND BUSINESS ADMINISTRATION ◽

10.46223/hcmcoujs.econ.en.8.1.172.2018 ◽

2020 ◽

Vol 8 (1) ◽

Author(s):

Nguyen Thi Thanh Van ◽

Nguyen Thien Duy ◽

Pham Tien Dung

Keyword(s):

Technology Acceptance ◽

Purchase Intention ◽

Structural Equation ◽

Perceived Usefulness ◽

Ho Chi Minh City ◽

Equation Modeling ◽

Factors Affecting ◽

Food Purchase ◽

Green Food ◽

Acceptance Model

This study adopts Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM) to measure factors affecting green food purchase intention in Ho Chi Minh city (HCMC). The survey data was collected from 197 students during the period of 1st to 20th September, 2017. Testing the conceptual model by Structural Equation Modeling (SEM), we find that perceived usefulness of green food and perceived ease of purchase impact on attitudes towards green food purchase. We also find that subjective norm, perceived usefulness of green food, attitudes towards green food purchase are positively associated with green food purchase intention. From the research findings, some recommendations are proposed accordingly.

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Platform Adoption Factors in the Internet Industry

Sustainability ◽

10.3390/su10093185 ◽

2018 ◽

Vol 10 (9) ◽

pp. 3185 ◽

Cited By ~ 7

Author(s):

Junic Kim

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Intention To Use ◽

Perceived Ease Of Use ◽

Positive Effects ◽

Internet Industry ◽

Acceptance Model

This study examines the factors influencing the choices of Internet platform services by applying the technology acceptance model. For this purpose, the analysis is conducted with 222 people who use different types of Internet platforms by utilizing structural equation modeling. The results show that perceived usefulness had positive effects on the intention to use, perceived ease of use, diversity, and security risks affected by the perceived usefulness, and the indirect influences on the intention to use. In addition, satisfaction (in relation to service quality) was found to affect both perceived ease of use and perceived usefulness. This research is significant because it will make it possible to predict users’ perceptions of Internet platforms, which is important for establishing relevant strategies.

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ANALISIS PENERIMAAN SISTEM PEMBELAJARAN BERBASISI EDMODO BAGI PESERTA DIDIK DENGAN MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM)

TEMATIK ◽

10.38204/tematik.v3i2.84 ◽

2016 ◽

Vol 3 (2) ◽

pp. 51-60

Author(s):

Yuyun Tresnawati, M.Kom

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Behavioral Intention ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Intention To Use ◽

Perceived Ease Of Use ◽

Acceptance Model ◽

Behavioral Intention To Use

Abstrak : Penelitian ini bertujuan untuk memberikan bukti empiris tentang pengaruh sistem pembelajaran berbasis edmodo terhadap motivasi dan hasil belajar peserta didik di SMK Negeri 4 Bandung dengan menggunakan TAM (Technologi Acceptance Model). Penggunaan model TAM didasarkan pada kenyataan bahwa sejauh ini TAM merupakan sebuah konsep yang dianggap paling baik dalam menjelaskan perilaku pengguna terhadap sistem teknologi informasi baru. Penelitian ini berjudul “Analisis Penerimaan Sistem Pembelajaran Berbasis Edmodo Bagi Peserta Didik Dengan Menggunakan Technology Acceptance Model (Study Kasus Pada SMKN 4 Bandung)”. Populasi penelitian ini adalah siswa SMK Negeri 4 Bandung kelas XI dan XII rumpun Teknik Informatika. Metode sampling yang digunakan dalam penelitian ini adalah purposive sampling, yang mengambil metode pengambilan sampel dengan didasarkan pada kriteria tertentu. Kriteria sampel penelitian ini adalah siswa yang aktif pada semester ganjil tahun pembelajaran 2015/2016. Analisis multivariat yang dilakukan menggunakan Structural Equation Modeling (SEM) dengan software AMOS (Analysis Of Moment Structure), Hasil penelitian ini membuktikan hanya 5 hipotesis diterima dari total 9 hipotesis yang diajukan. Hanya pada hubungan berikut yang terbukti mempunyai pengaruh positif : a) Perceived Ease of Use (PEOU) terhadap Perceived Usefulness (PU), b) Attitude Toward Using ( ATU) terhadap Perceived Enjoyment (PE),c) Attitude Toward Using (ATU) terhadap Perceived Usefulness (PU),d) Attitude Toward Using (ATU) terhadap Perceived Ease of Use (PEOU) e) Attitude Toward Using ( ATU) terhadap Behavioral Intention to Use (BITU), f) Actual Usage (AU) terhadap Behavioral Intention to Use (BITU). Hal ini membuktikan bahwa penggunaan sistem pembelajaran berbasis aplikasi edmodo tidak sepenuhnya dapat dijelaskan oleh Technologi Acceptance Model.

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