scholarly journals Ekstensi TAM untuk Memprediksi Niat Menggunakan E-Money di Pontianak

2020 ◽  
Vol 5 (4) ◽  
pp. 264
Author(s):  
Irawan Wingdes
Keyword(s):  
Technology Acceptance ◽  
Rational Choice ◽  
Rational Choice Theory ◽  
Choice Theory ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
Compliance Cost

E-money berbasis smart card diwajibkan pemerintah daerah sejak tahun 2018 untuk pengisian bahan bakar tetapi publikasi data sekunder menunjukkan hasil tidak sesuai harapan. Penelitian kuantitatif ini bertujuan untuk memprediksi niat menggunakan e-money dengan mengekstensikan rational choice theory dengan faktor benefit of compliance, cost of compliance, cost of non compliance dan perceived speed pada technology acceptance model. Data dikumpulkan dengan survei menggunakan kuesioner, data diolah dan hipotesis diuji dengan structural equation modeling berbasis partial least square. Jumlah sampel dengan purposive method yang dikumpulkan adalah 336 responden (slovin) dengan margin of error 5% untuk populasi pengguna kendaraan di Pontianak. Pengujian menunjukkan faktor yang digunakan valid dan reliabel, dengan hasil: transaction speed, perceived ease of use, perceived usefulness, benefit of compliance, cost of compliance, cost of non compliance mempengaruhi behavioral intention. Faktor yang mempengaruhi paling kuat niat menggunakan adalah cost of non compliance dan perceived transaction speed. Hasil menunjukkan pengguna akan berniat menggunakan e-money bila diwajibkan dan disertai dengan sanksiKata kunci—E-money, Ekstensi TAM, Rational Choice Theory, Behavioral IntentionSmart card based e-money was required by local authorities since 2018 for refueling activity in Pontianak but results were not as expected. Therefore, this quantitative study aims to predict intention to use e-money by extending rational choice theory with its antecedents: benefit of compliance, cost of noncompliance, cost of compliance and perceived transaction speed to technology acceptance model. Data for analysis was acquired using questionaire based survey. Hypotheses are tested by utilizing partial least square based structural equation modeling. A total of 336 samples (slovin) from total vehicles owners in Pontianak are acquired using purposive method with margin of error of 5%. Test results shows antecedents extended to TAM are valid and reliable with transaction speed, perceived ease of use, perceived usefulness, benefit of compliance, cost of compliance, cost of non compliance significantly influences intention to use. Factors with greatest influence are cost of non compliance and transaction speed. Results suggest user’s intention to use e-money in mandatory situation are influenced strongly only when there are consequences imposed at non compliance.Key words—E-money, extended TAM, Rational Choice Theory,Behavioral Intention

scholarly journals Behavioral Intention to Use IoT Technology in Healthcare Settings

2019 ◽  
Vol 9 (5) ◽  
pp. 4769-4774 ◽  
Author(s):  
M. H. Alanazi ◽  
B. Soh
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Healthcare Setting ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
Behavioral Intention To Use

Rapid scaling of using the Internet of Things (IoT) technology has been seen recently in numerous applications in healthcare to deliver proper services. This was motivated by the declining size and cost of the employed IoT devices. Developing such technology has been well investigated in the literature; however, few studies have explored the factors influencing its adaptation in the healthcare setting. In this study, we investigate the core factors that influence the acceptance of using IoT for Healthcare Purposes in the Kingdom of Saudi Arabia (KSA). Accordingly, a theoretical framework, based on the Technology Acceptance Model (TAM), was developed and tested empirically. The modified model added variables that provide a better explanation of the acceptance of healthcare technology. To ground our conceptual idea, a survey was designed and performed on 407 patients (207 males, 200 females). The Partial Least Square Structural Equation Modeling (SEM) technique was applied to analyze the effect of eight hypothesized predicting constructs on the collected data. Results revealed that cost, privacy concerns, and perceived usefulness were the most significant predictors of behavioral intention to use. However, attitude and perceived connectedness were found to be irrelevant in predicting the intention to use IoT. Ultimately, results found that there is no correlation between gender and behavioral intention.

m-Learning Management System use during Covid-19

2021 ◽  
pp. 026666692110354
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Ahmad Samed Al-Adwan
Keyword(s):  
Distance Education ◽  
Technology Acceptance ◽  
Management System ◽  
Learning Management System ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Primary Data ◽  
Equation Modeling ◽  
Learning Management

The current study examined factors affecting higher education students’ use of a mobile-based Learning Management System (m-LMS) for distance education during the Corona Virus Disease 2019 (Covid-19). A survey instrument based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) was established and validated. The primary data were gathered from 1032 responses. The data were computed in SmartPLS 3.2. Partial Least Square Structural Equation Modeling (PLS-SEM) procedures were conducted to assess the measurement and structural models. The proposed model is valid and reliable. Findings of the study show that relationships emerge in seven out of ten hypotheses. The strongest relationship is between Perceived Usefulness and Attitude while the weakest exists between Perceived Ease of Use and Attitude. This study emphasizes awareness about the use of m-LMS in education, especially during distance education due to pandemics like Covid-19. The model is expected to provide a useful base for future academicians interested in conducting similar topics of research.

scholarly journals Factors Influencing Pre-service Teachers’ Satisfaction and Intention to Use the Internet: A Structural Equation Modeling

2021 ◽  
Vol 15 (02) ◽  
pp. 110
Author(s):  
Ali Sadikin ◽  
Akhmad Habibi ◽  
Erick Sanjaya ◽  
Dwi Candra Setiawan ◽  
Try Susanti ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
The Internet ◽  
Intention To Use ◽  
Factors Influencing

<p>In the age of digital era where the Internet is playing an important and dominant role, the concern of the higher education to ensure that the Internet within the reach of the students is very important. However, little research has been reported to indicate the success of the concern in Indonesia. Therefore, This study was conducted to assess factors influencing Indonesian PSTs’ satisfaction (ST) and intention to use (IU) the Internet for learning through technology acceptance model (TAM). Data was gathered from a total of 596 pre-service teachers (PSTs) from five universities in Indonesia. The measurement and assessment of the model were developed through a partial least square structural equation modeling (PLS-SEM). The results informed that Indonesian PSTs’ ST was strongly influenced by perceived ease of use (PEU) and IU. Besides, PSTs’ IU was predicted by Attitude (AT), PU and PEU.<em> </em></p>

scholarly journals Indonesian young consumers’ intention to donate using sharia fintech

2021 ◽  
Vol 3 (1) ◽  
pp. 34-44
Author(s):  
Maulida Dwi Agustiningsih ◽  
Ravika Mutiara Savitrah ◽  
Putri Catur Ayu Lestari
Keyword(s):  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
Young Generation ◽  
Perceived Ease Of Use ◽  
Young Consumers ◽  
The Ideal

Purpose: This research examines the effect of Perceived Ease of Use (PEOU), Perceived Usefulness (PU), religiosity, and company image on intention to use Sharia fintech for donation among Indonesian young consumers. Methodology: This study used a quantitative method with data collection techniques using an online questionnaire. Respondents filled out the questionnaire based on the Likert scale from 1 (strongly disagree) to 4 (strongly agree). The questionnaire was distributed and collected in less than one week, from 26th March 2021 to 29th March 2021. The ideal sample is five times higher than the number of indicators. The number of indicators is 20, so the ideal sample is 100 or more. This study has successfully collected 206 respondents. However, 13 respondents filled the same scale for all questions, so 193 is chosen as data analysis. The valid data were analyzed through Structural Equation Modeling Partial Least Square (SEM-PLS). Findings: This research shows the intention to use Sharia fintech to pay donations influenced by perceived usefulness (PU) and religiosity. In contrast, perceived ease of use (PEOU) and image are not positively related to the intention of using Sharia fintech for donation. Practical Implication: Religiosity and PU positively influence the interest in using Sharia fintech to pay donation. So, it is expected for fintech to comply with Sharia compliance and still comply with regulations from the OJK and DSN related to legality aspects. Furthermore, fintech startups and developers can build a more user-friendly application. Originality: This research is a replication-based model and is adapted from published research. The originality in this research is in the respondent who young generation. Intention to pay donation using fintech Sharia is the main focus to be researched. This primary focus has not been being researched beforehand.

Using the Technology Acceptance Model (TAM) in Understanding Customers’ Behavioural Intention to Use E-CRM: Evidence from the Banking Industry

2021 ◽  
pp. 097226292110605
Author(s):  
Anupreet Kaur Mokha ◽  
Pushpender Kumar
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Banking Industry ◽  
Positive Impact ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Acceptance Model

The present study has aimed to understand the customers’ behavioural intention to use electronic customer relationship management (E-CRM) in the banking industry, using the technology acceptance model (TAM). Purposive sampling technique is used to collect data from 300 banks that included customers from Delhi (India), and partial least square-structural equation modelling (PLS-SEM) was employed. The reliability and the validity of the overall model were evaluated using the measurement model, and the hypotheses were tested using the structural model. The results reveal that E-CRM had a positive impact on both perceived usefulness and perceived ease of use, which, in turn, had a positive impact on the attitude towards using E-CRM, which ultimately led to a positive behavioural intention of customers towards using E-CRM. This study reveals that there is a large potential for policymakers to raise awareness and acceptance of E-CRM services among the customers.

scholarly journals PENGARUH NORMA SUBYEKTIF,DAN TAM TERHADAP NIAT MENGGUNAKAN SISTEM ERP

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Rizki Endah Susilaputri
Keyword(s):  
Technology Acceptance ◽  
Business Processes ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Primary Data ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Erp Systems

ERP is a system used by the company to integrate all business processes. This study aimed to determine the effect of Subjective Norm and Technology Acceptance Model (TAM) of the Intention to Use ERP Systems. TAM in this study was measured by two indicators: Perception Perceived Usefulness and Ease of Use.Respondents in this study were users of ERP systems on PT. Semen Gresik (Persero), Tbk. Questionnaires were the primary data used in this research and random sampling was used as data collection method. Questionnaires were distributed about 70 copies but only 63 were returned, and 3 of them were incomplete questionnaires. The data analysis technique used was Partial Least Square, with the help of Smart PLS 2.0 software.The results of this study are: 1) Subjective Norms have positive significant effect on Intention to Use ERP Systems. 2) Perceived Usefulness have positive significant effect on Intention to Use ERP Systems. 3) Perceived Ease of Use have positive significant effect on Intention to Use ERP Systems. DOI 10.5281/zenodo.1214920

scholarly journals PENGARUH NORMA SUBYEKTIF,DAN TAM TERHADAP NIAT MENGGUNAKAN SISTEM ERP

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Rizki Endah Susilaputri
Keyword(s):  
Technology Acceptance ◽  
Business Processes ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Primary Data ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Erp Systems

ERP is a system used by the company to integrate all business processes. This study aimed to determine the effect of Subjective Norm and Technology Acceptance Model (TAM) of the Intention to Use ERP Systems. TAM in this study was measured by two indicators: Perception Perceived Usefulness and Ease of Use.Respondents in this study were users of ERP systems on PT. Semen Gresik (Persero), Tbk. Questionnaires were the primary data used in this research and random sampling was used as data collection method. Questionnaires were distributed about 70 copies but only 63 were returned, and 3 of them were incomplete questionnaires. The data analysis technique used was Partial Least Square, with the help of Smart PLS 2.0 software.The results of this study are: 1) Subjective Norms have positive significant effect on Intention to Use ERP Systems. 2) Perceived Usefulness have positive significant effect on Intention to Use ERP Systems. 3) Perceived Ease of Use have positive significant effect on Intention to Use ERP Systems.

scholarly journals Perceived Usage of E-Wallet among the Y Generation in Surabaya based on Technology Acceptance Model

2020 ◽  
Vol 22 (1) ◽  
pp. 17-24
Author(s):  
Dewi Pertiwi ◽  
Widjojo Suprapto ◽  
Eric Pratama
Keyword(s):  
Technology Acceptance ◽  
Direct Effect ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Although the government of Indonesia is building the cashless society, the number of e-wallet users are increasing slowly. E-wallet is becoming a common instru­ment of payments from the paper-based instruments to server-based electronic money. The aim of this research is to investigate the perceived usage of the Y Genera­tions on e-wallet based on Technological Acceptance Model (TAM) which is a power­ful model to describe single approval to the usage of a new information technology system. As a quantitative research, the data analysis is using the Partial Least Square (PLS) with the SmartPLS 3.0 software. The results show that perceived usefulness and perceived ease of use brings impacts positive significant impacts to behavioural intention to use, then, the behavioural intention to use affect a positive significant impact to perceived usage. However, a direct effect from perceived useful­ness to perceived usage shows a negative and no significant impact, meanwhile an unintended effect from perceived usefulness to perceived usage through behavioural intention to use show a positive significant impact. Finally, a direct effect from perceived ease of use to perceived usage shows a lower t-statistic value than an indi­rect effect from perceived ease of use to perceived usage through behavioural inten­tion

scholarly journals The Influence of Intention to use Medians Potato Varieties on the Result of Technological Innovation Development with Technology Acceptance Models

2020 ◽  
Vol 24 (1) ◽  
pp. 38
Author(s):  
Muhammad .H. Rasyidha, Mukhamad Najib, Ujang Sumarwan,
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Subjective Norms ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Potato Varieties ◽  
Technology Acceptance Models ◽  
Positive Effect

The purpose of this study was to analyze the intention of farmers to use the potato varieties of medians with the development of technology acceptance models (TAM) that combine innovation diffusion theory, subjective norms, self-efficacy, and facilitate conditions to determine the intentions of farmers to use. The method used was a survey with face-to-face interviews with 120 potato farmers. Sampling was taken based on non-probability sampling using convenience sampling techniques. Analysis of the data used is Structural Equation Modeling (SEM) with the Partial Least Square (PLS) approach. The results show that variables triability, perceived usefulness, subjective norms, and compatibility directly have a positive effect on the intention to use potato varieties medians. While the variables that can be observed, perceived ease of use, perceived self-efficacy, and facilitating conditions do not have a positive effect on the intention to use.

scholarly journals Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem

2021 ◽  
Vol 18 (19) ◽  
pp. 10069
Author(s):  
Zhiyuan Yu ◽  
Doudou Jin
Keyword(s):  
Technology Acceptance ◽  
Traffic Safety ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Connected Vehicle

With the accelerating industrialization of 5G-V2X and smart automobiles, the intelligent connected vehicle (ICV) integrated with sophisticated communication, caching, computing, and control techniques enhance the functionality of in-vehicle infotainment (IVI) and also provide more powerful telematic or entertainment choices in vehicular environment. The diverse needs of ICV users (e.g., drivers and passengers) can be satisfied during commuting and traveling. However, considering the limitations of transportation environment, the potential attitude and usage behavior for the upcoming ICV infotainment directly impacts on the traffic and road safety in sustainable cities. In this paper, we conduct an online and offline survey to investigate the key factors influencing the user attitude and intention of ICV infotainment, where the answers of a total of 502 valid respondents (i.e., IVI users) are collected in China. A conceptual technology acceptance model with the constructs of perceived usefulness (PU), perceived ease of use (PEOU), social influence (SI), consumer innovation (CI), and perceived risk (PR) is established, and then assessed via partial least square structural equation modeling. We find that the constructs of PU, PEOU, CI, and SI have a direct impact on attitude and usage intention, of which 46.8% and 73.4% of variance, respectively, are explained. The respondents show positive attitudes and higher usage intention towards the ICV infotainment. Although PR has insignificant path with attitude and intention, the driving experience moderation effect exists between PR and usage intention. We can see that ICV infotainment will become a trend in future transportation scenario. Through this survey, reference for traffic safety and usage norms will be provided to reduce the risky of public health issues (e.g., traffic accidents) in the context of ICV infotainment.

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