scholarly journals Analisis Implementasi Aplikasi Pembelajaran Interaktif Calistung Dengan Pendekatan Technology Acceptance Model

2021 ◽  
Vol 5 (2) ◽  
pp. 176
Author(s):  
Khairan AR ◽  
Ridwan Ridwan ◽  
Hidayatus Saidah
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Technology Use ◽  
Structural Model ◽  
Interactive Learning ◽  
Measurement Model ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Tam Model ◽  
Acceptance Model

The advancement of smartphone technology has an impact in the field of education, especially in application-based interactive learning media. Based on the results of interviews at the Paya Laba Public Elementary School (SDN), some of the students have difficulty in using interactive learning media based on applications, ranging from operating skills, equipment, habits, benefits and others. Thus, to measure the level of acceptance of the use of interactive learning applications for reading, writing and arithmetic skills at SDN Paya Laba culd conducted by using a theoretical method which described the level of technology acceptance, namely the Technology Acceptance Model (TAM). However, the study aims to analyze the implementation of interactive learning reading, writing, arithmetic based on android applications. The test was run by measuring the influence between variables in the TAM model, which labelling as Perceived Ease of Use, Perceived Usefulness, and Attitude towards Using Technology, Behavioral Intention to Use and Actual Technology Use. The data in this study were obtained from questionnaires which filled out by the respondents. The data analyzed with Structural Equation Modeling approach based on Partial Least Square (PLS-SEM) by using the SmartPLS application. The stages of data analysis started from designing the structural model, designing the measurement model, evaluating the measurement model, evaluating the structural model, and testing the hypothesis. From the research results based on the seven proposed hypotheses, there are six hypotheses declared accepted and one hypothesis rejected.

scholarly journals Modeling User Acceptance of Electronic Voting: An Extended Technology Acceptance Model (TAM) Approach

2020 ◽  
pp. 141-153
Author(s):  
Oladotun O. Okediran ◽  
Mayowa O. Oyediran ◽  
Adeyemi A. Sijuade ◽  
Wajeed B. Wahab
Keyword(s):  
Developing Countries ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Electronic Voting ◽  
Sample Population ◽  
Poverty Level ◽  
Adoption Decision ◽  
Acceptance Model

Election voting has emerged as a significant alternative to conventional voting methods with testimonials of its implementation showing various degrees of success in some countries of the western world. Lately, many developing countries are also looking at its prospects as a replacement or supplement for traditional paper balloting which is, the principal voting method in most of these countries. However, the voting populace’ acceptance of this technology is a major factor that needs to be considered before its actual introduction owning to factors that includes, digital divides, low literacy level, norms and beliefs, high poverty level and so on. From another viewpoint, due to the peculiarity of contextual ICT infrastructural challenges of developing countries, there is a need to investigate the factors that will influence adoption decision and eventual usage when planning to introduce electronic voting so that the evolving system will not end up being impractical for the target users. In this study, an empirical investigation of the factors influencing the adoption decision of electronic voting was carried out.  More specifically, this study aimed at examining the possibilities and intents towards mobile voting (which is a type of electronic voting), among a selected sample population of electorates in Nigeria. In the study, an extended Technology Acceptance Model (TAM) that integrates Subjective norm, Perceived compatibility, Perceived privacy, Perceived security, Perceived price value and Perceived trust into the original TAM constructs was proposed. A total of 1364 sample data were collected from a selected population of electorates who had at one time or the other participated in at least an electioneering process in Nigeria.  The data was then analyzed statistically using Partial Least Square           Structural Equation Modeling (PLS-SEM). The results obtained show that all variables have significant effect on the electorates’ behavioural intention to use mobile voting except for perceived privacy.

scholarly journals Extension of Technology Acceptance Model (Etam): Adoption of Cryptocurrency Online Trading Technology

2019 ◽  
Vol 24 (2) ◽  
pp. 272
Author(s):  
Duwi Agustina
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Model ◽  
Main Idea ◽  
Measurement Model ◽  
Actual Usage ◽  
Online Trading ◽  
Acceptance Model ◽  
Invariance Test ◽  
The Relationship

The main idea of the study was to determine the influence of the antecedents (trialability and compexity) on the existing constructs of Technology Acceptance Model (TAM) and to test measurement invariance on the relationship between the latent constructs used in this extended version of Technology Acceptance Model (ETAM). A survey questionnaire was administered on Cyptocurrency mobile applicantions users and a total of 41 responses were collected. The research model was assessed using SEM-PLS approach. The structural model was then tested in order to establish validity & reliabelity. The invariance test was first performed on the measurement model and then on the structural model using SmartPLS 3.0. The predictor variables in ETAM were able to explain 44,9% of the variance in actual usage of Cryptocurrency mobile applications.

scholarly journals Pengukuran Penerimaan Sistem Informasi EWSKIA Berdasarkan Persepsi Pengguna dengan Menggunakan Technology Acceptance Model

2018 ◽  
Vol 8 (2) ◽  
pp. 166
Author(s):  
Aris Puji Widodo ◽  
Farid Agushybana ◽  
Sutopo Patria Jati
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
P Value ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
Acceptance Model

This study is a quantitative research that has a goal to measure the level of user acceptance of EWSKIA information system based on perception. EWSKIA is a healthcare application tool used to perform the process of recording and monitoring the health conditions of pregnant and childbirth mothers. The model used in this research is using Technology Acceptance Model (TAM) model with 3 variables, namely Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Behavioral Intention to Use (BITU). This variable consists of independent variables namely PEOU and PU, and the dependent variable is BITU. The respondents were 145 midwives from Grobogan District, Temanggung Regency and Salatiga City. Data analysis to conduct causal relationships between variables using Partial Least Square (PLS). The results of this study statistically show that the 3 hypotheses of H1, H2, and H3 adopted from the TAM model have a positive and significant influence. This is indicated by the value of the regression coefficient is positive and the coefficient of P value is less than 0.005

scholarly journals ANALISIS TECHNOLOGY ACCEPTANCE MODEL PADA APLIKASI PLATFORM SHOPEE DENGAN PENDEKATAN PARTIAL LEAST SQUARE (STUDI KASUS PADA MAHASISWA UNIVERSITAS DIPONEGORO)

2021 ◽  
Vol 10 (3) ◽  
pp. 423-434
Author(s):  
Ovie Auliya’atul Faizah ◽  
Suparti Suparti ◽  
Abdul Hoyyi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Acceptance Model

E-commerce refers to business transactions using digital networks such as the internet. Based on the rank on the Appstore and Playstore, Shopee places the first rank. In 2019, Shopee had 56 million visitors. Meanwhile, in the same year, it had 3,225 workers. The imbalance between the number of Shopee visitors and Shopee employees allows users to be disappointed with Shopee's services, but on the other hand, there are also many users who are happy with its services. With both positive and negative responses to the services provided by Shopee, this study analyzes the factors affecting the acceptance of Shopee Apps on students of Universitas Diponegoro Semarang. The analysis was based on the Technology Acceptance Model (TAM). It used the Structural Equation Modeling with the Partial Least Square (SEM-PLS) approach. The study used primary data obtained by distributing questionnaires to students of Universitas Diponegoro. The result showed 28 valid indicators, 5 deal inner models, and 8 significant pathways. All the causality between latent variables contained in the Technology Acceptance Model (TAM) have a positive and significant effect, it's just that the results of integrating trust variables on TAM, namely the latent variable between trust and interest in usage behavior, have no significant effect. 

scholarly journals Path Analisis Technology Acceptance Model pada Penerapan Blended Learning

2020 ◽  
Vol 6 (2) ◽  
pp. 130-138
Author(s):  
Wawan Laksito Yuly Saptomo ◽  
Elistya Rimawati
Keyword(s):  
Structural Equation Modeling ◽  
Blended Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model

Model pembelajaran Blended Learning  adalah sistem yang mengkolaborasikan pembelajaran tatap muka kelas dengan pembelajaran online memanfaatkan E-Learning. Penelitian ini bertujuan untuk mengukur tingkat penerimaan dan perilaku peserta didik terhadap teknologi  dari model pembelajaran Blended Learning. Variabel yang dikembangkan merujuk pada Technology Acceptance Model (TAM), yaitu  model penerimaan pengguna terhadap sistem informasi. Model TAM dikembangkan dari teori psikologis yang menjelaskan bahwa perilaku pengguna sistem berlandaskan pada kepercayaan, sikap, keinginan, dan hubungan perilaku pengguna. Data yang diperoleh dianalisis hubungan struktur variabel dengan Structural Equation Modeling (SEM) menggunakan metode Partial Least Square (PLS). Berdasarkan hasil Analisa PLS dan Boostraping diperoleh nilai Pengaruh Langsung, Pengaruh Tidak Langsung, dan Pengaruh tidak langsung sesuai jalur spesifikasi melalui variabel intervening (Spesific Indirect Efect).

scholarly journals The Technology Acceptance Model of Mobile Payment Usage on Generation Z

2020 ◽  
Vol 11 (3) ◽  
pp. 149-156
Author(s):  
Nerry Kristina ◽  
Ibnu Harris
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Data Privacy ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Generation Z ◽  
Acceptance Model

The research aimed to support Technology Acceptance Model (TAM) theories such as Perceived Ease of Use (PEOU), Security (SECU), Brand Loyalty (BL), Behavioural Intention (BI), and the marketing models, Electronic Word of Mouth (EWOM), on the use of mobile payments of the Generation Z. The researchers used the quantitative method. Using a non-probability sampling method with a convenience sampling technique, there were 100 respondents of Generation Z. The data were then analyzed using Structural Equation Modeling (SEM) with Partial Least Square (PLS). The results show that PEOU has no significant effect on BI. SECU and BL affect BI significantly. Then, BI has a significant impact on EWOM. It means that PEOU is not an important factor for Generation Z to use mobile payment. SECU and BL make the Generation Z continue to use mobile payment without worrying about data privacy issues because BL is embedded in their mind. As a result of BI, Generation Z will do marketing in the form of EWOM to their closest friends or relatives via social media.

scholarly journals Pengukuran Penerimaan Sistem Informasi EWSKIA Berdasarkan Persepsi Pengguna dengan Menggunakan Technology Acceptance Model

2018 ◽  
Vol 8 (2) ◽  
pp. 52
Author(s):  
Aris Puji Widodo ◽  
Farid Agushybana ◽  
Sutopo Patria Jati
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
P Value ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
Acceptance Model

This study is a quantitative research that has a goal to measure the level of user acceptance of EWSKIA information system based on perception. EWSKIA is a healthcare application tool used to perform the process of recording and monitoring the health conditions of pregnant and childbirth mothers. The model used in this research is using Technology Acceptance Model (TAM) model with 3 variables, namely Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Behavioral Intention to Use (BITU). This variable consists of independent variables namely PEOU and PU, and the dependent variable is BITU. The respondents were 145 midwives from Grobogan District, Temanggung Regency and Salatiga City. Data analysis to conduct causal relationships between variables using Partial Least Square (PLS). The results of this study statistically show that the 3 hypotheses of H1, H2, and H3 adopted from the TAM model have a positive and significant influence. This is indicated by the value of the regression coefficient is positive and the coefficient of P value is less than 0.005

Evaluating Consumers’ Adoption of Mobile Technology for Grocery Shopping: An Application of Technology Acceptance Model

2018 ◽  
Vol 22 (2) ◽  
pp. 185-198 ◽  
Author(s):  
Anuja Shukla ◽  
Shiv Kumar Sharma
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Technology ◽  
Mobile Apps ◽  
Mobile App ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Grocery Shopping ◽  
Acceptance Model

The main purpose of the study was to examine the role of mobile technology in shopping of grocery items among consumers. The objectives of the study were accomplished by using the technology acceptance model (TAM) which was used as the base of the study to test how Indian consumers perceive the use of technology in shopping of grocery using mobile applications (mobile apps). The research design is descriptive in nature. The respondents were selected through purposive and snowball sampling. Primary data were collected through self-administered questionnaire, and 346 usable responses were recorded. The data were analysed using the partial least square structural equation modeling (PLS-SEM) approach. All the hypotheses of TAM were supported. Additionally, perceived usefulness and attitude were found to partially mediate the relationships. The study concluded that consumers are well adapted to use of mobile apps for general shopping but influence of mobile app as a tool was found limited in grocery sector in consistence to previous studies. This shows that there may be other reasons that reduce the use of mobile apps for grocery shopping other than technology. The study theoretically extends the knowledge of consumer behaviour in emerging field of m-commerce, and practically, it will help the m-commerce practitioners to understand need of the consumer.

scholarly journals ANALYZING ACTUAL E-FILING USAGE AMONG TAXPAYERS BASED ON TECHNOLOGY ACCEPTANCE MODEL

2021 ◽  
Vol 4 (2) ◽  
pp. 128-137
Author(s):  
Ita Salsalina Lingga ◽  
Verani - Carolina ◽  
Vinny Stephanie Hidayat ◽  
Wayan Feri Permana
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Tax Reporting

This research focuses on examining factors that affect taxpayer’s intention to use e-filing in tax reporting based on Technology Acceptance Model (TAM).It analyzes behavioral attitudes factor that affect behavioral intention towarde-filing use and its impact on actual e-filing usage. Analysis of data uses Partial Least Square (PLS) of Structural Equation Modeling (SEM). The analysis unit in this research consists of lecturers from state and private universities in Indonesia, where questionnaires are used to collect primary data. This research findings show that perceived ease of use and perceived usefulnessaffect taxpayers’ willingness to use e-filing which in turn affects the actual e-filing usage. The result of this study is intended to resolve the issue of low taxpayer’s intention toward e-filing use in tax reporting.

scholarly journals ANALISIS TECHNOLOGY ACCEPTANCE MODEL PADA APLIKASI PLATFORM SHOPEE DENGAN PENDEKATAN PARTIAL LEAST SQUARE (STUDI KASUS PADA MAHASISWA UNIVERSITAS DIPONEGORO)

2022 ◽  
Vol 10 (4) ◽  
pp. 532-543
Author(s):  
Ovie Auliya’atul Faizah ◽  
Suparti Suparti ◽  
Abdul Hoyyi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Acceptance Model

E-commerce refers to business transactions using digital networks such as the internet. Based on the rank on the Appstore and Playstore, Shopee places the first rank. In 2019, Shopee had 56 million visitors. Meanwhile, in the same year, it had 3,225 workers. The imbalance between the number of Shopee visitors and Shopee employees allows users to be disappointed with Shopee's services, but on the other hand, there are also many users who are happy with its services. With both positive and negative responses to the services provided by Shopee, this study analyzes the factors affecting the acceptance of Shopee Apps on students of Universitas Diponegoro Semarang. The analysis was based on the Technology Acceptance Model (TAM). It used the Structural Equation Modeling with the Partial Least Square (SEM-PLS) approach. The study used primary data obtained by distributing questionnaires to students of Universitas Diponegoro. The result showed 28 valid indicators, 5 deal inner models, and 8 significant pathways. All the causality between latent variables contained in the Technology Acceptance Model (TAM) have a positive and significant effect, it's just that the results of integrating trust variables on TAM, namely the latent variable between trust and interest in usage behavior, have no significant effect. 

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