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 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 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.  

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 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 Investigating the Determinants of Students’ Intention to Use Business Simulation Games

2019 ◽  
Vol 58 (2) ◽  
pp. 433-458 ◽  
Author(s):  
Yu-Yin Wang ◽  
Yi-Shun Wang ◽  
Shi-En Jian
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Partial Least Square ◽  
Intention To Use ◽  
Business Simulation ◽  
Simulation Games ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

Business simulation games (BSGs) are educational tools that help students develop business management knowledge and skills. However, to date, relatively little research has investigated the factors that influence students’ BSG usage intention. Grounded on the extended unified theory of acceptance and use of technology, this study helped to fill this gap by exploring intention to use BSGs. Specifically, this study investigated the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and price value on behavioral intention to use BSGs. Data collected from 141 useful respondents were tested against the research model using partial least square approach. The results of this study indicated that behavioral intention to use BSGs was influenced by facilitating conditions, hedonic motivation, and price value. Unexpectedly, performance expectancy, effort expectancy, and social influence were not predictive of students’ behavioral intention to use BSGs. These findings enhanced our understanding of students’ BSG usage behavior and provided several important theoretical and practical implications for the application of BSG in the context of business and management education.

scholarly journals Characterizing Consumer Behavior in Leveraging Social Media for E-Patient and Health-Related Activities

2019 ◽  
Vol 16 (18) ◽  
pp. 3348 ◽  
Author(s):  
Ira Puspitasari ◽  
Alia Firdauzy
Keyword(s):  
Social Media ◽  
Consumer Behavior ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Healthcare Management ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Healthcare Needs ◽  
Health Related

The emergence of e-patients has encouraged consumers, people who are non-medical experts, to be more engaged in healthcare needs by utilizing online sources via social media. However, the nature of social media and regulation issues have caused concerns for the reliability and validity of the shared information. These phenomena shape consumers behavior in leveraging social media for e-patient activities. This study investigates consumer behavior using an integrated model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Protection Motivation Theory (PMT). The data collected from the participants (N = 312) was analyzed using partial least square structural equation modelling. The results showed that behavioral intention to use social media for e-patient activities was significantly affected by performance expectancy, effort expectancy, perceived severity, perceived susceptibility, and response efficacy; and that behavioral intention corresponded positively to usage intention. In addition, the results also indicate that the intention to use social media for health-related purposes is driven by awareness of preventing health problems and attempts to reduce the risk of developing an illness. Based on findings, this study recommends strategies and initiatives to optimize social media for promoting a healthy lifestyle and educating society about public health and healthcare management.

The use of fitness centre apps and its relation to customer satisfaction: a UTAUT2 perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Helena Ferreira Barbosa ◽  
Jerónimo García-Fernández ◽  
Vera Pedragosa ◽  
Gabriel Cepeda-Carrion
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation ◽  
Positive Impact ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Content Type ◽  
Behavioural Intentions ◽  
Performance Expectancy ◽  
Use Of Technology

PurposeThe purpose of this paper is to analyse the intention of using fitness app made available by the fitness centre to its members and their relationship with overall customer satisfaction.Design/methodology/approachThe present study uses the extended unified theory of acceptance and use of technology (UTAUT2) as the base model. All the hypothesised relationships were tested through partial least square structural equation modelling (PLS-SEM), in a quantitative study with data from 1,676 fitness consumers from Portugal.FindingsThe results support the ability of UTAUT2 in predicting the customer´s intention to use the fitness app. Performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation and habit have a positive impact on behavioural intentions to use the fitness app. Performance expectancy and habit have the strongest relationships. Behavioural intentions are positively related both to the usage behaviour of the fitness app and to overall customer satisfaction.Practical implicationsThe results of this study present a strong contribution for fitness centre managers, since it highlights the importance of using these apps as a way to increase customer satisfaction, increasing retention levels.Originality/valueThis study is paramount as regards to examine the behavioural intention to use the fitness apps that the fitness centres make available to their members using UTAUT2 model.

scholarly journals Digital Payment During Pandemic: An Extension of The Unified Model of QR Code

2021 ◽  
Vol 10 (6) ◽  
pp. 213
Author(s):  
Ayatulloh Michael Musyaffi ◽  
Razana Juhaida Johari ◽  
Ida Rosnidah ◽  
Dewi Agustin Pratama Sari ◽  
Muhammad Ihlashul Amal ◽  
...  
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Qr Code ◽  
Intention To Use ◽  
Qr Codes ◽  
Online Questionnaire ◽  
Study Results ◽  
Essential Components ◽  
Digital Payments

QR Code Indonesian Standard (QRIS) is a digital payment system using a QR code that officially regulated in 2020. However, during the implementation of QRIS, there were still several problems, including security and data problems. The balance at the transaction time was not truncated, misuse of data, and application errors when scanning QR codes. This study aims to determine the factors that affect the acceptance of digital payments using QRIS. Especially those related to gaps in problems and research by combining the theory of acceptance and use of technology (UTAUT) and other variables that are also a problem in applying digital payments Security and Trust. The target population of this study is all digital payment users who use QRIS. Through the convenience sampling method, with a sample of 205 respondents. The questionnaire is distributed through an online questionnaire with Microsoft form. After that, the data will be evaluated using the Structural Equation Model (SEM) - Partial Least Square (PLS). The study results show that security as a reference is fundamental for users to increase their intention to use QR codes. Meanwhile, other components such as performance expectations and trust have proven to be essential components in initiating the intention to use digital payments using QR Code. However, not all variables from UTAUT have a significant impact, such as effory expectations. This is because an essential point in using digital payments using QR codes, especially during a pandemic, requires more security and productivity.   Received: 19 June 2021 / Accepted: 15 September 2021 / Published: 5 November 2021

Examining the Inter-relationships of UTAUT Constructs in Mobile Internet Use in India and Germany

2020 ◽  
Vol 18 (2) ◽  
pp. 36-48
Author(s):  
Jayanth Jacob ◽  
Murugan Pattusamy
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Mobile Internet ◽  
Partial Least Square ◽  
Least Square ◽  
Internet Technology ◽  
Hierarchical Regression ◽  
Future Research ◽  
Use Of Technology ◽  
Behavioral Intention To Use

The authors have tested the relationships between UTAUT constructs and the behavioral intention to use mobile internet technology with samples drawn from India and Germany. They have also tested the moderating role of age, gender, and user experience between UTAUT constructs and behavioral intention using hierarchical regression analysis. Partial Least Square Structural Equation Modelling (PLS SEM) was used to test the UTAUT without moderating effects. The results show that UTAUT constructs influence behavioral intention. Behavioral intention also predicts the use of technology. Empirical evidence was established for the UTAUT model based on the samples from both countries. “Experience of use” moderated the relationship between effort expectancy and behavioral intention in the Indian sample. The last section of the article discusses the contributions of this research to theory, its practical implications, limitations, and the scope for future research.

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