A SEM-Neural Network Approach for Predicting Antecedents of Factors Influencing Consumers' Intent to Install Mobile Applications

2018 ◽  
pp. 262-308 ◽  
Author(s):  
Yakup Akgül
Keyword(s):  
Neural Network ◽  
Mobile Applications ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Second Phase ◽  
Intention To Use ◽  
Neural Network Approach ◽  
The Neural Network ◽  
Behavioral Intention To Use

This chapter explores the present gap in the literature regarding the acceptance of mobile applications by investigating the factors that affect users' behavioral intention to use apps in Turkey. First, structural equation modeling (SEM) was used to determine which variables had significant influence on intention to install. In a second phase, the neural network model was used to rank the relative influence of significant predictors obtained from SEM. The results reveal that habit, performance expectancy, trust, social influence, and hedonic motivation affect the users' behavioral intention to use apps.

scholarly journals Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony
Keyword(s):  
Medical Education ◽  
Blended Learning ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Behavioral Intention To Use

Abstract Background Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that might affect students’ intention to use blended learning. Methods In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Venkatesh et al. (2012) proposed UTAUT2 as a framework to explain a person’s behavior while using technology. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypotheses. Results The validity and reliability of the model constructs were acceptable. Performance Expectance (PE), Effort Expectance (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) had a significant effect on the students’ behavioral intention to use blended learning. Additionally, behavioral intention to use blended learning had a significant effect on the students’ actual use of blended learning (β = 0.645, P ≤ 0.01). Conclusion The study revealed that the proposed framework based on the UTAUT2 had good potential to identify the factors influencing the students’ behavioral intention to use blended learning. Universities can use the results of this study to design and implement successful blended learning courses in medical education.

scholarly journals A model of Factors Influencing Behavioral Intention to Use Internet Banking and the Moderating Role of Anxiety: Evidence from Vietnam

2020 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Bui Nhat Vuong
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Positive Impact ◽  
Final Analysis ◽  
Internet Banking ◽  
Equation Modeling ◽  
Intention To Use ◽  
Behavioral Intention To Use ◽  
Moderating Role

Internet banking is becoming a new focus as the number of internet users and its benefits are increasing worldwide and its benefits. However, the degree of intent to use internet banking is still a question of interest. Thus, the purpose of this paper is to investigate the factors affecting attitude and behavioral intention to use internet banking in Viet Nam, as well as the moderating role of anxiety, will be examined. Totally, 584 questionnaires were collected for the final analysis. The results fromthe partial least squares structural equation modeling (PLS-SEM) using the SmartPLS 3.0 program showed that facilitating condition, performance expectancy, social influence, perceived credibility, and effort expectancy had a positive impact on attitude and behavioral intention to use internet banking. Besides, anxiety decreased behavioral intention and it also dampened the positive relationship between attitude and behavioral intention. The findings of this study could help banks to improve their service to attract more users. Besides, the use of internet banking could reduce thefrequency to a bank that indirectly reduces costs.

scholarly journals Customer Loyalty: The Difference between Full-Service Carriers and Low-Cost Carriers in Indonesia

2021 ◽  
Vol 12 (1) ◽  
pp. 21-29
Author(s):  
Yasintha Soelasih ◽  
Sumani Sumani
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Customer Loyalty ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Low Cost ◽  
Equation Modeling ◽  
Intention To Use ◽  
Low Cost Carriers ◽  
Behavioral Intention To Use

The research aimed to look at the differences in customer loyalty on domestic Full-Service Carriers (FSCs) and Low-Cost Carriers (LCCs) in Indonesia. The differences were shown from testing the effect of service quality on customer loyalty mediated by customer satisfaction and behavioral intention to use. Respondents were FSCs and LCCs passengers. Samples were taken by purposive sampling. There were 522 respondents for FSCs and 529 respondents for LCCs were observed by distributing questionnaires. Then, the research tested the validity and reliability of the variables using Confirmatory Factor Analysis (CFA), Composite Reliability (CR), and Average Variance Extracted (AVE). Structural Equation Modeling (SEM) was also applied to examine the hypothesis. The results show the formation of customer loyalty from service quality, customer satisfaction, and behavioral intention to use on FSCs and LCCs. The most significant factor is the behavioral intention in forming customer loyalty in FSCs and LCCs. Meanwhile, customer satisfaction does not influence customer loyalty for FSCs and LCCs.

scholarly journals ANALISIS PENERIMAAN PENGGUNA SISTEM INFORMASI AKADEMIK, STUDI KASUS STIKES HARAPAN BANGSA

Solusi ◽  
2019 ◽  
Vol 17 (3) ◽  
Author(s):  
Iis Setiawan Mangku Negara ◽  
Fania Mutiara Savitri
Keyword(s):  
Structural Equation Modeling ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
System Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

<p>ABSTRAK<br /> <br />Sistem informasi dan Teknologi informasi berkembang dengan sangat<br />pesat dan berdampak signifikan terhadap segala bidang. Pemanfaatan teknologi<br />informasi tidak hanya pada pemanfaatan sektor bisnis, tetapi juga sektor publik<br />yang salah satunya adalah lembaga perguruan tinggi. Efisiensi dan efektifitas<br />proses informasi dengan menggunakan sistem informasi hanya akan terjadi<br />apabila teknologi tersebut diterima oleh individu dalam organisasi. Tesis ini<br />merupakan hasil riset yang akan membahas mengetahui faktor – faktor apa yang<br />sajakah yang mempengaruhi penerimaan dosen, mahasiswa dan staf akademik<br />dalam menggunakan Sistem Informasi Akademik STIKes Harapan Bangsa.<br />Sejumlah 200 responden ikut berpartisipasi dalam penelitian ini. Adapun model<br />adopsi teknologi yang digunakan adalah model Technolgy Acceptance Model.<br />Selain menguji variabel, penelitian ini juga menguji apakah teori TAM dapat<br />digunakan untuk mengetahui penerimaan pengguna SIAK-SHB di Stikes Harapan<br />Bangsa. Analisis data dilakukan dengan pendekatan Structural Equation <br />Modeling. Berdasarkan hasil dari analisis diperoleh kesimpulan bahwa Actual<br />System Use dipengaruhi oleh Behavioral Intention to Use, Behavioral Intention to<br />Use dipengaruhi oleh Perceived Usefulness dan Perceived Usefulness dipengaruhi<br />oleh Perceived Easy of Use.</p><p>Kata Kunci :Technolgy Acceptance Model, Structural Equation Modeling,<br />Penerimaan Pengguna Sistem Informasi Akademik</p>

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 Factors Affecting the Acceptance of Blended Learning in Medical Education: Application of UTAUT2 Model

2020 ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony
Keyword(s):  
Medical Education ◽  
Blended Learning ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Actual Usage ◽  
Behavioral Intention To Use

Abstract Background: Blended learning is a new approach toward improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that may influence the behavioral intention to use of blended learning in medical education.Methods: In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was UTAUT2. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypothesis.Results: The validity and reliability of the model constructs were acceptable. Performance expectance, effort expectance, social influence, facilitating conditions, hedonic motivation, price value and habit had a significant effect on students’ behavioral intention to use of blended learning. Additionally, Behavioral intention to use of blended learning also had a significant effect on students’ actual usage of blended learning (β=0.645, P≤0.01).Conclusion: The study revealed that the proposed framework based on UTAUT2 has good potential to identify factors influencing students' behavioral intention to using of blended learning. Universities can use the results of this study to design and implementation successful blended learning courses in medical education.

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.

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Generation Z ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989

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.

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