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.

Business Process Reengineering of Digital Learning Ecosystems

2022 ◽  
pp. 123-141
Author(s):  
Heru Susanto ◽  
Fadzliwati Mohiddin ◽  
Leu Fang-Yie ◽  
Muhammad Syamim Sanip ◽  
Alifya Kayla Shafa Susanto ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Digital Learning ◽  
Perceived Ease Of Use ◽  
Technology Acceptance Models ◽  
Higher Institution ◽  
E Learning

This study was conducted to investigate e-learning acceptance and factors influencing higher institution students in Brunei Darussalam. Among the factors involved in this study were perceived ease of use, perceived usefulness, self-efficacy, technology availability, and usage and intention to use. Technology acceptance models (TAM) were used as a basis for the study and for hypothesizing the effects of such variables on the use of e-learning. The findings of this study found that there is significant influence of self-efficacy to perceived ease of use and perceived usefulness while perceived ease of use has direct impact to perceived usefulness and perceived usefulness has influence on intention to use towards e-learning systems.

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 ANALISIS FAKTOR PENERIMAAN DAN PENGGUNAAN SOFTWARE ACCURATE DALAM PERSPEKTIF TECHNOLOGY ACCEPTANCE MODEL (Studi Empiris pada Mahasiswa Program Studi S1 Jurusan Akuntansi Fakultas Ekonomi Universitas Tadulako)

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Rendy Rekka ◽  
Chalarce Totanan ◽  
Sudirman Sudirman ◽  
Arung Gihna Mayapada
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Self Efficacy ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use ◽  
Computer Self Efficacy

This study aims to analyze acceptance and usage factors of Accurate Software based on the perspective of technology acceptance model. These factors include perceived ease of use, perceived usefulness, and behavioral intention to use. We also add some external variables which are pressure to use and computer self efficacy. The data of this study are obtained from questionnaires and measured using Likert scale. The analysis method used in this study is partial least square (PLS). The sample is bachelor degree students of 2014, 2015, and 2016 batches in Accounting Department in Faculty of Economics in Tadulako University. The results of the study show that perceived ease to use, perceived usefulness, behavioral intention to use, pressure to use, and computer self efficacy have significant effect to actual usage of Accurate Software. The results of this study verify technology acceptance model.

scholarly journals Health Seekers’ Acceptance and Adoption Determinants of Telemedicine in Emerging Economies

2021 ◽  
Vol 25 ◽  
Author(s):  
Khondker Mohammad Zobair ◽  
Louis Sanzogni ◽  
Luke Houghton ◽  
Kuldeep Sandhu ◽  
Md Jahirul Islam
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Hospital Setting ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Future Research ◽  
Patients Acceptance

This study investigates health seekers’ acceptance and adoption determinants of telemedicine services in a rural public hospital setting in an emerging economy using an adapted, extended Technology Acceptance Model. The present study pursued synthesising a plethora of existing literature and contextualised the significance of seven broad categories of potential determinants that significantly affect patients’ acceptance and adoption intentions: perceived usefulness, perceived ease of use, self-efficacy, service quality, privacy and data security, social influence, and facilitating conditions. The partial least square structural equation modeling technique was employed to test the conceptual model and research hypotheses. A cross-sectional survey was administered among 500 telemedicine users in randomly selected rural and remote areas of Bangladesh. Excluding self-efficacy and ease of use, five determinants expressively contributed to patients’ acceptance of telemedicine adoption, explaining 65% of the variance (R2) in behavioural Intention. The empirical findings have the quality of rigour obtained from rich data sets in health informatics and can contribute to build telemedicine into an institutionalised health infrastructure in Bangladesh and similar settings. Pertinent implications, limitations and future research directions were recommended to secure the long-term sustainability of telemedicine healthcare projects.

scholarly journals Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study

10.2196/14316 ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. e14316 ◽  
Author(s):  
Tiantian Ye ◽  
Jiaolong Xue ◽  
Mingguang He ◽  
Jing Gu ◽  
Haotian Lin ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Technology Acceptance ◽  
Goodness Of Fit ◽  
Discriminant Validity ◽  
Subjective Norms ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use

Background Poor quality primary health care is a major issue in China, particularly in blindness prevention. Artificial intelligence (AI) could provide early screening and accurate auxiliary diagnosis to improve primary care services and reduce unnecessary referrals, but the application of AI in medical settings is still an emerging field. Objective This study aimed to investigate the general public’s acceptance of ophthalmic AI devices, with reference to those already used in China, and the interrelated influencing factors that shape people’s intention to use these devices. Methods We proposed a model of ophthalmic AI acceptance based on technology acceptance theories and variables from other health care–related studies. The model was verified via a 32-item questionnaire with 7-point Likert scales completed by 474 respondents (nationally random sampled). Structural equation modeling was used to evaluate item and construct reliability and validity via a confirmatory factor analysis, and the model’s path effects, significance, goodness of fit, and mediation and moderation effects were analyzed. Results Standardized factor loadings of items were between 0.583 and 0.876. Composite reliability of 9 constructs ranged from 0.673 to 0.841. The discriminant validity of all constructs met the Fornell and Larcker criteria. Model fit indicators such as standardized root mean square residual (0.057), comparative fit index (0.915), and root mean squared error of approximation (0.049) demonstrated good fit. Intention to use (R2=0.515) is significantly affected by subjective norms (beta=.408; P<.001), perceived usefulness (beta=.336; P=.03), and resistance bias (beta=–.237; P=.02). Subjective norms and perceived behavior control had an indirect impact on intention to use through perceived usefulness and perceived ease of use. Eye health consciousness had an indirect positive effect on intention to use through perceived usefulness. Trust had a significant moderation effect (beta=–.095; P=.049) on the effect path of perceived usefulness to intention to use. Conclusions The item, construct, and model indicators indicate reliable interpretation power and help explain the levels of public acceptance of ophthalmic AI devices in China. The influence of subjective norms can be linked to Confucian culture, collectivism, authoritarianism, and conformity mentality in China. Overall, the use of AI in diagnostics and clinical laboratory analysis is underdeveloped, and the Chinese public are generally mistrustful of medical staff and the Chinese medical system. Stakeholders such as doctors and AI suppliers should therefore avoid making misleading or over-exaggerated claims in the promotion of AI health care products.

scholarly journals USABILITY AND USEFULNESS FOR ONLINE SINGLE SUBMISSION SYSTEM IN INVESTMENT AND ONE-STOP INTEGRATED SERVICE OFFICE, SAMARINDA CITY

2021 ◽  
Vol 4 (1) ◽  
pp. 14
Author(s):  
Ummul Hairah ◽  
Edy Budiman
Keyword(s):  
Technology Acceptance ◽  
Goodness Of Fit ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
One Stop ◽  
Integrated Service

The challenge of implementing the online service public system from the user side of the system is the acceptance and use of technology. User characteristics for accepting or rejecting the use of the system for various reasons (digital literacy) for the adoption of new technologies such as the Online Single Submission (OSS) system. The research purpose is to offer a theoretical model of the Technology Acceptance Model (TAM) to evaluate the use and acceptance of users to the OSS system at the Investment Service and One-Stop Integrated Service of the Samarinda City during the Covid-19 pandemic. The method used to measure the variable effects using Partial Least Square - Structural Equation Modeling (PLS-SEM) on perceived ease of use (usability) and perceived usefulness, behavior intention to use, and Attitude toward Using the Online Single Submission system. Based on the results of testing the hypothesis H0 proposed is accepted. OSS system users find it useful to assist in completing work (licensing process). That perceived Ease of Use, Perceived Usefulness have a positive effect and significant on the Behaviour Intention to Use adopt the OSS system for users and have a goodness of fit.

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.

scholarly journals Using Blended Project-Based Learning for Students’ Behavioral Intention to Use and Academic Achievement in Higher Education

2021 ◽  
Vol 11 (5) ◽  
pp. 207
Author(s):  
Mahdi Mohammed Alamri
Keyword(s):  
Academic Achievement ◽  
Behavioral Intention ◽  
Self Efficacy ◽  
Project Based Learning ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Cross Point ◽  
Perceived Enjoyment ◽  
Behavioral Intention To Use

This research focused on the potential of project-based learning and blended learning, which offer a distinctive cross-point in regard to building 21st-century skills in the classroom. Specifically, this research hypothesized that using the BPBL approach has an effect on perceived self-efficacy, perceived enjoyment, perceived usefulness, behavioral intention of using BPBL, and students’ academic achievement. To achieve the research goal, we employed a questionnaire as the main data collection method and dispensed it to 80 students, all of whom use the BPBL approach. The findings were obtained via a quantitative research method, structural equation modeling (SEM). We found a significant relationship between the BPBL approach and perceived self-efficacy, perceived enjoyment, perceived usefulness, behavioral intention of using BPBL, and students’ academic achievement. Therefore, we believe that the BPBL approach enhances students’ behavioral intention to use and academic achievement in a blended project-based learning approach and allows sharing knowledge, information, and discussions. Thus, it is recommended that students use the BPBL approach for educational purposes, and they should also be encouraged to do so through their learning at university level.

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 ANALYSIS OF SYSTEM QUALITY, INFORMATION QUALITY AND PERCEIVED USEFULNESS TO USER SATISFACTION

2019 ◽  
pp. 62
Author(s):  
Tiana Tiana ◽  
Bambang Sugiharto ◽  
Indah Umiyati
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Information Quality ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Significant Positive Effect ◽  
Quality Of Information ◽  
Positive Effect

This study aims to test and analyze the quality of the system against perceived usefulness, the quality of information against perceived usefulness, the quality of the system to user satisfaction, Information Quality to user satisfaction and perceived usefulness to user satisfaction. The population in this research is employees teller and customer service department of Bank BJB in subang city. Sampling technique is nonprobability sampling by using purposive sampling method. The type of data used is primary data with questionnaire data collection method. Hypothesis testing used is Structural Equation Modeling (SEM) approach with variance Structural equation test or better known as Partial Least Square (PLS). The result of the research shows that Quality System has a significant positive effect on Perceived Usefulness, Quality of Information has a significant positive effect on Perceived Usefulness, Quality of System has a significant positive effect on user satisfaction, Information Quality has positive significant effect on user satisfaction, and Perceived Usefulness has no effect to User Satisfaction

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