scholarly journals Exploring the Drivers Predicting Behavioral Intention to Use m-Learning Management System: Partial Least Square Structural Equation Model

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 181356-181365
Author(s):  
Amirul Mukminin ◽  
Akhmad Habibi ◽  
Muhaimin Muhaimin ◽  
Lantip Diat Prasojo
Keyword(s):  
Structural Equation Model ◽  
Behavioral Intention ◽  
Management System ◽  
Structural Equation ◽  
Learning Management System ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Behavioral Intention To Use

scholarly journals ANALISIS PENERIMAAN APLIKASI PEMBELAJARAN ONLINE MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL 3 DAN PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODEL (PLS-SEM)

Factor M ◽  
2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Jerhi Wahyu Fernanda ◽  
Noer Hidayah
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Actual System ◽  
Behavioral Intention To Use

This research aims to examine the factors that influence to the acceptance of the Google classroom (GC) application in online learning. Conceptual model to assess acceptance of a technology use the Technology accept model (TAM) 3 model. TAM 3 is a development of the TAM model by adding the Perceived Ease of Use dimension which can be used to predict and explain behavior that encourages the use of technology cause that is always experiencing development. The statistical analysis used is the Partial Least Square Structural Equation Model. The data obtained are primary data. It has obtained from questionnaires distributed via google forms. The sample are 150 respondents. This research used simple random sampling technique with criteria that must be fulfilled. The variable consists of 4 latent variables, consist of Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use and Actual System Use. The measurement scale uses a 5 category Likert scale. The results of statistical analysis of the research, Perceived Ease of Use has a significant effect on Perceived Usefulness and Behavioral Intention to Use, Perceived Usefulness has a significant effect on Behavioral Intention to Use and Behavioral Intention to Use has a significant effect on Actual System Use.Penelitian ini bertujuan untuk meneliti faktor-faktor yang berpengaruh terhadap penerimaan aplikasi pembelajaran online Google classroom dalam pembelajaran online. Model konseptual untuk menilai penerimaan terhadap suatu teknologi menggunakan model Technology acceptance model (TAM) 3. TAM 3 merupakan pengembangan dari model TAM dengan menambahkan dimensi Perceived Ease of Use yang dapat digunakan untuk memprediksi, dan menjelaskan perilaku yang mendorong penggunaan teknologi yang selalu mengalami perkembangan. Analisis statistika yang digunakan adalah Partial Least Square Structural Equation Model. Data yang didapatkan adalah data primer dari kuesioner yang disebar melalui google form. Sampel berjumlah 150. Penelitian ini menggunakan teknik simpel random sampling. Terdapat 4 variabel latent yaitu Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use dan Actual System Use. Skala pengukuran menggunakan skala likert 5 kategori. Hasil analisis statistika didapatkan kesimpulan variabel Perceived Ease of Use berpengaruh signifikan terhadap Perceived Usefulness dan Behavioral Intention to Use, Perceived Usefulness memiliki pengaruh yang signifikan terhadap terhadap Behavioral Intention to Use dan Behavioral Intention to Use berpengaruh signifikan terhadap Actual System Use.

scholarly journals Adoption of Video Learning SOPs: Evidence from the Financial Sector with UTAUT Perspective

2021 ◽  
Vol 3 (2) ◽  
pp. 178-191
Author(s):  
Maya Anggraini ◽  
Prio Utomo ◽  
Friska Natalia
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Financial Sector ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Online Questionnaire ◽  
Performance Expectancy ◽  
Perceived Interactivity ◽  
Behavioral Intention To Use

As a highly regulated sectors, banks should be able to manage various risks by implementing Good Corporate Governance through detailed Standard Operating Procedure (SOP). Currently, financial sectors in Indonesia are dominated by Millennial’s workforce whom prefer digital way of communication rather than conventional reading. Thus, one multinational bank in Indonesia implements Video Learning SOPs to accommodate Millennials. The purpose of this study is to understand the adoption of Video Learning SOPs in financial sector using UTAUT. The study is quantitative research with availability sampling. 1077 respondents gathered using online questionnaire and analyzed using Partial-Least Square Structural Equation Model (PLS-SEM). Perceived interactivity was included as additional factors and the moderation of Age also analyzed. The results showed that there was significant relation between Performance Expectancy, Effort Expectancy, Social Influence, and Perceived Interactivity with Behavioral Intention to use Video Learning SOPs whereas Perceived Interactivity and Performance Expectancy also significantly impact it. It also revealed that there was positive but insignificant moderating effect of Age on the Behavioral Intention to use Video Learning SOPs. This research is among the first that reveals significant factors that impacting the adoption of Video Learning SOPs in a highly regulated industry.

scholarly journals PENGARUH TRUST DAN SERVICE CONVENIENCE TERHADAP BEHAVIORAL INTENTION TO UTILIZE LAYANAN ONLINE LEMBAGA AMIL ZAKAT

2020 ◽  
Vol 7 (9) ◽  
pp. 1831
Author(s):  
Muhammad Syifa ◽  
Ririn Tri Ratnasari
Keyword(s):  
Structural Equation Model ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Online Service ◽  
Online Services ◽  
Digital Era ◽  
Service Convenience

ABSTRAKDalam era digital seperti sekarang ini teknologi berkembang sangat pesat, jumlah dari pengguna layanan online pun setiap tahun terus berkembang tak terkecuali pun Lembaga Amil Zakat terus berinovasi agar tetap survive di era digital seperti sekarang ini. Peneliti ingin menjelaskan serta menggambarkan apakah faktor yang mempengaruhi melalui trust dan service convenience terhadap behavioral intention to utilize layanan online Lembaga Amil Zakat yang disebarkan melalui kuesioner online dengan karakteristik responden beragama islam, laki-laki dan perempuan berumur 18 tahun keatas, dan pernah memanfaatkan layanan online Lembaga Amil Zakat. Berdasarkan data yang didapat penulis mendapatkan 184 responden, tetapi diantara 184 responden tersebut peneliti hanya menggunakan 100 responden karena 84 responden lain tidak valid. Metode analisis yang digunakan yaitu menggunakan Structural Equation Model (SEM) dan Partial Least Square (PLS).Kata Kunci: Service Convenience, Trust, Behavioral Intention to Utilize ABSTRACTIn the digital era as now, technology is developing very rapidly, the number of online service users continues to grow every year, even though the Amil Zakat Institute continues to innovate in order to continue to survive in the digital era as it is today. The researcher wants to explain and illustrate whether the factors that influence through trust and service convenience towards behavioral intention to utilize online services of the Amil Zakat Institution are distributed through online questionnaires with the characteristics of Muslim respondents, men and women aged 18 years and over, and have used online services. Amil Zakat Institution. Based on the data obtained by the author to get 184 respondents, but among these 184 respondents, researchers only used 100 respondents because 84 other respondents were invalid. The analytical method used is the Structural Equation Model (SEM) and Partial Least Square (PLS).Keywords: Service Convenience, Trust, Behavioral Intentions to Utilize

scholarly journals ANALISIS PENERIMAAN APLIKASI PEMBELAJARAN ONLINE MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL 3 DAN PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODEL (PLS-SEM)

Factor M ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 161-172
Author(s):  
Noer Hidayah ◽  
Jerhi Wahyu Fernanda
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Behavioral Intention To Use

Penelitian ini bertujuaan untuk meneliti faktor-faktor yang berpengaruh terhadap penerimaan aplikasi pembelajaran online Google classroom (GC) dalam pembelajaran online. Model konseptual untuk menilai penerimaan terhadap suatu teknologi menggunakan model  Technology acceptance model (TAM) 3. TAM 3 merupakan pengembangan dari model TAM dengan menambahkan dimensi Perceived Ease of Use yang dapat digunakan untuk memprediksi, dan menjelaskan perilaku yang mendorong penggunaan teknologi yang selalu mengalami perkembangan. Analisis statistika yang digunakan adalah Partial Least Square Structural Equation Model. Data yang didapatkan adalah data primer yang didapatkan dari kuesioner yang disebar melalui google form. Sampel dalam penelitian ini berjumlah 150. Penelitian ini menggunakan teknik simpel random sampling dengan kriteria yang harus dipenuhi. Variabel terdiri dari 4 variabel latent yaitu Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use dan Actual System Use. Skala pengukuran menggunakan skala likert 5 kategori. Hasil analisis statistika didapatkan kesimpulan variabel Perceived Ease of Use berpengaruh signifikan terhadap Perceived Usefulness  dan Behavioral Intention to Use,  Perceived Usefulness memiliki pengaruh yang signifikan terhadap terhadap Behavioral Intention to Use dan Behavioral Intention to Use berpengaruh signifikan terhadap Actual System Use.  

scholarly journals Structural Equation Model: Intention To Use Mobile Banking of Bottom of Pyramid Customer

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Dian Kusumaningrum ◽  
Dewi Savitri Saraswati ◽  
Seprianus Seprianus
Keyword(s):  
Structural Equation Model ◽  
Perceived Risk ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Mobile Banking ◽  
Bottom Of Pyramid ◽  
Digital Strategy

<p>The economy is shifting into the digital economy and to overcome it, the banking industry competes through innovation and digital strategy. Smartphone-based mobile banking is the key component of the digital strategy with 70% of the banks agree to focus their strategy on mass customer segment (PWC, 2017).</p><p>The purposes of the study are to identify the predicting factors influencing the intention to use mobile banking and empirically validate a model explaining the behavioral intention to use it, especially on the Bottom of Pyramid (BOP) segment. The model used was Structural Equation Model (SEM) based on Partial Least Square (PLS). The data used for developing the model was based on a survey to 100 BOP households.</p><p>The results of this study show that the variables that have the highest significant effect on BOP’s customer intention to use mobile banking are involuntary barriers, followed by perceived risk, and attitude. This result can be further used by researchers and mobile banking providers to evaluate the existing mobile banking services to improve its contribution in providing better market penetration and more appropriate financial services for BOP and ultimately financial inclusion in Indonesia.</p>Keywords: <em>Mobile Banking, Intention, Structural Equation Model</em>

Ride on Conveniently!

2021 ◽  
Vol 13 (2) ◽  
pp. 19-35
Author(s):  
Noman Hasan ◽  
Abdul Gaffar Khan ◽  
Mohammad Awal Hossen ◽  
Ariful Islam
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Sharing Economy ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
It Adoption ◽  
Ride Sharing ◽  
Behavioral Intention To Use

This study investigates the passengers' adoption of a ride-sharing service app (UBER) in Bangladesh. This study employed the most widely used and cited IT adoption model, The Unified Theory of Acceptance and Use of Technology-2 (UTAUT2), as the theoretical framework to examine the passengers' adoption of the popular sharing economy tools ride-sharing service applications (i.e., Uber). This study adds a new construct, safety, in the UTAUT2 model. Data were obtained from 206 participants which were analyzed using partial least square structural equation modeling (PLS-SEM). The results indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions are the most significant determinant factors of behavioral intention to use the Uber app. In contrast, behavioral intention to use the Uber app is not significantly influenced by price value and safety. Additionally, the theoretical and practical implications of these results are discussed, which elicits the importance for business managers, marketers, and policymakers on sharing economy platforms.

scholarly journals MANFAAT DAN RISIKO YANG MEMPENGARUHI KELANJUTAN NIAT PENGGUNAAN FINTECH PEMBAYARAN SELULER

2021 ◽  
Vol 10 (2) ◽  
pp. 214-227
Author(s):  
Afrida Putritama
Keyword(s):  
Structural Equation Model ◽  
Perceived Risk ◽  
Structural Equation ◽  
Reasoned Action ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Mobile Payments ◽  
Perceived Benefit

Abstrak: Manfaat dan risiko yang mempengaruhi kelanjutan niat penggunaan Fintech pembayaran seluler. Tujuan penelitian ini adalah menemukan bagaimana manfaat persepsian dan risiko persepsian mempengaruhi kelanjutan niat penggunaan Fintech pembayaran seluler dengan mendasarkan kepada Theory of Reasoned Action (TRA). Pengumpulan data penelitian ini menggunakan kuesioner dengan metode purposive sampling dengan jumlah sampel sebanyak 104 responden. Pengujian hipotesis menggunakan Structural Equation Model (SEM) dengan alat ukur Partial Least Square (PLS). Penelitian ini menemukan bahwa manfaat persepsian lebih kuat dibandingkan risiko persepsian dalam mempengaruhi kelanjutan niat penggunaan Fintech pembayaran seluler. Faktor terkuat yang mempengaruhi manfaat persepsian adalah kenyamanan. Transaksi seamless dan manfaat ekonomi memiliki pengaruh positif namun tidak signifikan terhadap manfaat persepsian. Faktor terkuat yang mempengaruhi risiko persepsian adalah risiko keuangan. Faktor terkuat kedua yang mempengaruhi risiko persepsian adalah risiko hukum. Risiko keamanan dan risiko operasional memiliki pengaruh positif tidak signifikan terhadap risiko persepsian.Kata kunci: Fintech pembayaran seluler, manfaat persepsian, risiko persepsianAbstract: Benefits and risks that affect the continued use of mobile payments Fintech. The purpose of this research is to find out how the perceived benefit and perceived risks affect the continuation of the intention to use Fintech mobile payments based on the Theory of Reasoned Action (TRA). Research data collection using a questionnaire with a purposive sampling method with a total sample of 104 respondents. Hypothesis testing uses the Structural Equation Model (SEM) with the Partial Least Square (PLS) measuring instrument. This study found that the perceived benefit is stronger than the perceived risk in influencing the continuation of the intention to use mobile payment Fintech.  The strongest factor affecting the perceived benefit is convenience. Seamless transactions and economic benefits have a positive but insignificant effect on perceived benefits. The strongest factor affecting perceived risk is financial risk. The second strongest factor affecting perceived risk is legal risk. Security risk and operational risk have an insignificant positive effect on perceived risk.Keywords: Fintech mobile payments, perceived benefits, perceived risks

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.

Effect of Motivation to Employee Performance which was Mediatied by Work Satisfaction in PT Smailing Tour Denpasar

2018 ◽  
Vol 9 (08) ◽  
pp. 20959-20973
Author(s):  
Benediktus Ignasius Tani Raka ◽  
Anik Yuesti ◽  
Nengah Landra
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Employee Performance ◽  
Work Satisfaction ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Pls Analysis ◽  
Permanent Employees

This study aims is to test and analyze the influence of motivation on employee performance mediated by job satisfaction. This research was conducted at PT Smailing Tour Denpasar with population and research sample of all permanent employees that is 90 people. All data obtained from the kuisoner distribution is feasible to be used, then analyzed using a variance based structural equation model known as Partial Least Square (PLS) analysis. The result of the research shows that (1) the motivation has positive and significant effect on the employee's performance, (2) the motivation has positive and significant effect on the job satisfaction, (3) the job satisfaction has positive and significant effect to the employee's performance; (4) the motivation has positive and significant effect on employee performance through job satisfaction. The implication of this research is that motivation can be improved by taking into account the need for workplace environment to improve employee performance, job satisfaction can be improved by paying attention to the work itself in order to increase employee performance. Employee performance can be improved by taking into account the effectiveness of employees.

FAKTOR KONTEKSTUAL TERHADAP INTENSI KEWIRAUSAHAAN MAHASISWA PESERTA BUSINESS ORIENTATION AT SUPER SURO (BOSS)

2019 ◽  
Vol 3 (2) ◽  
pp. 9
Author(s):  
Fery Setiawan
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Business Orientation

Penelitian ini membahas tentang faktor kontekstual dalam pengaruhnya pada intensi kewirausahaan mahasiswa. Objek penelitian ini adalah mahasiswa program studi S1 Manajemen Universitas Muhammadiyah Ponorogo yang telah mengikuti kegiatan BOSS, Business Orientation at Super Suro, yakni kegiatan kompetisi berwirausaha yang diadakan untuk mengasah mental entrepreneurship mahasiswa. Penelitian ini dilakukan untuk mengetahui intensi berwirausaha mahasiswa peserta BOSS, sehingga diperoleh informasi yang berguna bagi evaluasi dan penentuan strategi pelaksanaan BOSS selanjutnya. Faktor kontekstual dipilih dalam penelitian ini, sebagai salah satu faktor yang dianggap penting dalam mempengaruhi intensi kewirausahaan mahasiswa. Penelitian ini menggunakan metode kuantitatif dengan populasi adalah mahasiswa peserta BOSS pada tahun 2019. Pengolahan data dalam penelitian ini menggunakan aplikasi program Structural Equation Model (SEM)  Partial Least Square (Smart PLS). Hasil penelitian diketahui bahwa faktor kontekstual berpengaruh positif terhadap intensi kewirausahaan mahasiswa BOSS.Kata kunci: kewirausahaan, faktor kontekstual, intensi  

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