How is The Adoption of Digital Marketing Services for Smart City Application Users?

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Regina Eka Riantini ◽  
Viany Utami Tjhin ◽  
Robertus Nugroho Perwiro Atmojo
Keyword(s):  
Technology Acceptance ◽  
Smart City ◽  
Structural Equation ◽  
Mobile Apps ◽  
Digital Marketing ◽  
Coefficient Of Determination ◽  
Equation Modeling ◽  
Behavior Intention ◽  
Use Of Technology ◽  
Acceptance Model

Smart City Mobile Apps is currently being developed by property developers in major cities in Indonesia and is used by businesses to market their products through the application. The method used to see how well the implementation of digital marketing in Smart City Mobile Apps is to combine the TAM (Technology Acceptance Model) and UTAUT (Unified Theory of Acceptance and Use of Technology) models. Questionnaire data were processed using the Structural Equation Modeling (SEM) method. The results of the study stated that the company's digital marketing strategy through Smart City Mobile Apps is already good where it can be seen from the value of adoption of Smart City Mobile Apps users in utilizing this application which is quite large at 0.764 based on the coefficient of determination. The variable that most influences consumers to use applications in finding trade information in the Smart City is the attitude variable with an influence value of 0.412 and the behavior intention to use with an influence value of 0.726. This shows that the intention behavior of the application and the trust in the benefits of the application can encourage users to use this application for purchasing their daily needs.

An Analysis of the Blog-User Attitude Employing Structural Equation Modeling Combine TAM and TPB Model

2013 ◽  
Vol 411-414 ◽  
pp. 90-93
Author(s):  
W. S. Fan ◽  
Y. K. Haung ◽  
H. C. Hsu ◽  
C. C. Chen
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Field Survey ◽  
Equation Modeling ◽  
Behavior Intention ◽  
Theoretical Perspectives ◽  
Structure Equation Modeling ◽  
Tpb Model ◽  
Acceptance Model

This paper examines key motivators for consumers attitude towards continuing the reception of existing blog services. Multiple theoretical perspectives are synthesized to hypothetically construct a model of continuance behavior, which is then empirically tested using a field survey of online blog users, and Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) are the studys theoretical bases. The study uses Structure Equation Modeling (SEM) to analyze users who have used blogs. The results indicated the blogs usefulness, ease to use, attitude, and subjective norm are positively affecting users behavior intention.

scholarly journals An Empirical Study of Students’ Acceptance of Online Education during the COVID-19 Pandemic in Saudi Arabia

2021 ◽  
Vol 4 (3) ◽  
pp. p8
Author(s):  
Dalal Bamufleh ◽  
Lama Talat Alradady
Keyword(s):  
Saudi Arabia ◽  
Online Education ◽  
University Students ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Modeling ◽  
Use Of Technology ◽  
Acceptance Model ◽  
The University

This paper seeks to explore factors that determine the university student’s acceptance and adoption behavior towards online education platforms in Saudi Arabia (SA) during the COVID-19 pandemic. The research relied mainly on two theories: Unified Theory of Acceptance and Use of Technology (UTAUT), and the Technology Acceptance Model (TAM). Five different constructs were utilized from those theories to investigate the university student’s intention toward using online education platforms. The proposed model and its five hypotheses were tested by conducting a quantitative survey across social media to university students from different regions around SA. For the model validity, the measurement model was analyzed using a structural equation modeling technique applied using SmartPLS software. The survey sample consisted of 708 university students in different regions of SA. The analysis results show that Performance Expectancy (PE) and Facilitating Conditions (FC) affect students’ Attitude toward Using (ATU) and that ATU positively affects Behavioral Intention (BI). Nevertheless, Effort Expectancy (EE) is not significantly related to ATU. Thus, the level of difficulty in using the online education platform is not an effective determinant factor that would change the student’s attitude.

Mobile Applications Acceptance

2019 ◽  
Vol 11 (2) ◽  
pp. 13-30
Author(s):  
Naciye Güliz Uğur ◽  
Aykut Hamit Turan
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Mobile Apps ◽  
Equation Model ◽  
Theoretical Research ◽  
State University ◽  
Mobile Platforms ◽  
Research Areas ◽  
Use Of Technology ◽  
Acceptance Model

Mobile apps are now an integral part of our daily life, with people spending an average of 30 hours per month with them. On the other hand, according to the existing literature, one in four installed apps is never been used and also there are thousands of rarely downloaded apps on mobile platforms. In this context, investigating the factors influencing the behavioral intentions to use mobile apps and finding out what make some apps popular are important research areas for scientists as well as practitioners. This study integrates constructs from the technology acceptance model (TAM), theory of planned behavior (TPB), unified theory of acceptance and use of technology model (UTAUT) and the uses and gratifications theory (UGT) into a new theoretical model and tests them. The study was conducted by using a structured questionnaire to collect data from 1654 student respondents from a large state university. The theoretical research model was tested with structural equation model (SEM).

scholarly journals Explaining Social Media Adoption for a Business Purpose: An Application of the UTAUT Model

2021 ◽  
Vol 13 (4) ◽  
pp. 2082
Author(s):  
Wilert Puriwat ◽  
Suchart Tripopsakul
Keyword(s):  
Social Media ◽  
Technology Acceptance ◽  
Structural Equation ◽  
User Behavior ◽  
Mobile Technologies ◽  
Equation Modeling ◽  
Use Of Technology ◽  
Acceptance Model ◽  
Facilitating Conditions ◽  
Use Behavior

Nowadays, the advance of the internet and mobile technologies have changed our daily life, not only in terms of consumption but in how business is done. Social media has been recognized as one of the potential online platforms for entrepreneurs especially in small and medium business establishments to cope with large corporations. This study aims to investigate elements affecting social media adoption for business purposes by adopting a well-known technology acceptance model—the unified theory of acceptance and use of technology (UTAUT). The data of 196 samples were collected via online questionnaires in Thailand using the structural equation modeling (SEM) technique employed to verify the proposed model with empirical data. The outcomes illustrate the performance and effort expectancy and social influence significantly influence behavior prospects to implement social media for business purposes. Facilitating conditions significantly contribute to affecting actual user behavior. Also, the authors investigated the moderating effect of all demographic and behavioral factors such as gender, age, daily spent time on social media, and entrepreneur status. The results of the one-way analysis of variance (ANOVA) analysis show that there are immense variances in the intention of social media behavior and use behavior due to age. Younger adults tend to be more adept with user behavior and behavioral intention more than older adults.

scholarly journals ANALISIS POLA ADOPSI TEKNOLOGI 3G PADA KALANGAN MAHASISWA UNIVERSITAS INDONESIA BERDASARKAN MODEL SARKER DAN WELLS DENGAN MENGGUNAKAN TEKNIK STRUCTURAL EQUATION MODELING

2012 ◽  
Vol 4 (2) ◽  
pp. 129
Author(s):  
Alida Widianti ◽  
Muhammad Rifki Shihab
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
Unified Theory ◽  
Use Of Technology ◽  
Acceptance Model

Beberapa tahun terakhir, muncul teknologi telekomunikasi baru yang disebut 3G. Secara umum, penggunaan 3G di Indonesia belum meluas dan merata. Melihat perkembangan penggunaan 3G di Indonesia tersebut, peneliti ingin mengetahui faktor yang paling berpengaruh terhadap adopsi 3G pada masyarakat Indonesia dengan mengambil populasi mahasiswa Universitas Indonesia. Pola adopsi 3G dapat diteliti berdasarkan beberapa model adopsi teknologi yang ada. Peneliti memilih Sarker’s and Wells’ Framework sebagai dasar hipotesis penelitian karena model-model adaptasi teknologi yang lain seperti Technology Acceptance Model dan Unified Theory of Acceptance and Use of Technology dinilai hanya menggambarkan teknologi secara umum sehingga kurang mempertimbangkan faktor-faktor khusus sehubungan dengan sifat dari 3G. Peneliti menyusun kuesioner tentang adopsi 3G dari model SEM yang dibangun berdasarkan Sarker’s and Wells’ Framework, kemudian menyebarkannya pada sampel mahasiswa Universitas Indonesia. Proses penyusunan model sampai interpretasi hasil perhitungan dilakukan dengan Structural Equation Modeling. Hasil analisis yang dilakukan menunjukkan bahwa saat ini framework milik Sarker dan Wells yang digunakan untuk menggambarkan adopsi perangkat mobile tidak cocok diterapkan pada adopsi teknologi 3G di Indonesia dengan populasi mahasiswa Universitas Indonesia.

The Technology Acceptance Model (TAM) and the Continuance Intention

2011 ◽  
pp. 29-44
Author(s):  
Princely Ifinedo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Computer Anxiety ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Use Of Technology ◽  
Acceptance Model ◽  
The Impact

In this study, we investigate the influence of two external influences i.e., Ease of finding and Computer anxiety on the technology acceptance model (TAM) and the continuance intention of using a popular course management system (CMS): WebCT. The study used a sample of 72 students that have experience using the software. The students came from four local higher education institutions. In order to study nature of the relationships among the constructs, eight (8) hypotheses were formulated and tested using a structural equation modeling technique: Partial Least Squares (PLS). The predictive power of the model was adequate and the study found support for seven of eight hypotheses. Regarding the impact of the antecedents on continuance intention in the use of technology, the results offer the following insights: when computer anxiety is low, students are able to use the system without much difficulty, and are likely to continue to use CMS in the future. Similarly, students will continue the tool as long as they find it easy to navigate. Perhaps due to contextual factors, the data did not support the relationship between Perceived usefulness and Usage. This particular finding is at variance with the TAM’s results and viewpoint. The study’s implications for research and practice are succinctly outlined.

scholarly journals Analisis Sistem Informasi Pendaftaran Online Mahasiswa Baru di Universitas XYZ Menggunakan Technology Acceptance Model

Techno Com ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 330-341
Author(s):  
Hennie Tuhuteru ◽  
Pether John Arlooy ◽  
Laipeny Melianus Imasuly
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Technology Use ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Behavior Intention ◽  
Acceptance Model

Pandemi Covid-19 yang terjadi bersamaan dengan proses penerimaan mahasiswa baru membuat Universitas XYZ mengembangkan sistem informasi pendaftaran online untuk melayani proses tersebut pada tahun akademik 2020/2021 karena pembatasan sosial berskala besar. Tujuan penelitian ini untuk mengevaluasi tingkat penggunaan dan penerimaan pengguna terhadap sistem tersebut sehingga dapat memberikan rekomendasi dalam pemeliharaan sistem. Pengkajian dilakukan dengan menggunakan konstruk Technology Acceptance Model (TAM), yaitu Perceived Usefulness (PU), Perceived Ease of Use (PEU), Attitude Towards Using (ATU), Behavior Intention to Use (BIU), dan Actual Technology Use (ATU). Konstruk TAM dianalisis dengan metode Partial Least Squares-Structural Equation Modeling (PLS-SEM). Hasil pengujian membuktikan ada pengaruh positif dan signifikan antara PU terhadap ATG dengan nilai 2,398, PEU terhadap PU dengan nilai 12,539, PEU terhadap ATG dengan nilai 8,609, ATG terhadap BIU dengan nilai 5,902, serta BIU terhadap ATU dengan nilai t statistik 28,806. Sedangkan hubungan antara PU terhadap BIU tidak memiliki relasi yang signifikan karena nilai t-statistiknya kurang dari t-tabel, yaitu 1,912. Berdasarkan hasil penelitian, dapat disimpulkan bahwa kemudahan menggunakan sistem memiliki pengaruh yang kuat terhadap sikap pengguna. Sementara sikap pengguna mempengaruhi niat perilaku, dan niat perilaku pengguna mempengaruhi penggunaan teknologi secara aktual. Sehingga untuk pemeliharaan sistem, harus diperhatikan dari sisi kemudahan dalam penggunaan sistem.

Application Of Technology Acceptance Model Of Unified Payment Interface Services Adoption In Mysuru City: An Exploratory Study

2019 ◽  
Vol 118 (6) ◽  
pp. 25-35
Author(s):  
Vinay S
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Banking Sector ◽  
Primary Data ◽  
Equation Modeling ◽  
Security Issues ◽  
Acceptance Model ◽  
Structured Questionnaire

Continuous development of technological innovations especially in the banking sector have stirred competition which has changed the way businesses operate resulting in the introduction of Unified Interface Payment (UPI) services. This study was conducted in order to analyse the adoption of UPI services through Technology Acceptance Model (TAM) in Mysuru. Objectives of study were framed to determine the demographic factors that influence the practices of UPI by the customers, to examine the role of banks in integrating UPI services and products and to assess the various security issues affecting the usage of UPI services by Mysuru customers. Based on these objectives a structured questionnaire was prepared and primary data was collected from 165 respondents. Data was analysed making use of SPSS and other models namely Structural Equation Modeling with Analysis of Moment Structures (AMOS) Software. Finally the researchers identifies that there is a need for convergence of customer’s preference for safe and easy banking transactions. This study revealed that the customer’s model have to be well integrated for progress in UPI operations.

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 Applying UTAUT in Predicting ESL Lecturers Intention to Use Flipped Learning

2021 ◽  
Vol 13 (15) ◽  
pp. 8571
Author(s):  
Siti Fatimah Abd Rahman ◽  
Melor Md Yunus ◽  
Harwati Hashim
Keyword(s):  
Second Language ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Quantitative Research ◽  
Teaching And Learning ◽  
Equation Modeling ◽  
Learning Approach ◽  
Intention To Use ◽  
Flipped Learning ◽  
Use Of Technology

Flipped learning empowers learners to take an engaging role in learning while educators assist the learning process. The employment of flipped learning has been confirmed to enhance the teaching and learning of English as a second language in previous studies. This study aimed to explore the application of the unified theory of technology acceptance and use of technology towards ESL lecturers’ intention to use flipped learning. This study used a quantitative research framework where a set of online questionnaires was used in collecting the data. A total of 206 English as a second language lecturers from four different universities participated in this study. The data were analyzed using structural equation modeling. The result of this study indicates that only social influence is significant in predicting English as a second language lecturers’ intention to use the flipped learning approach. Furthermore, this study enriches the literature on 21st century education and the integration of technology in teaching and learning. In addition, this study could help educators and stakeholders in adapting or enhancing the flipped learning approach by distinguishing the distinct predictors of technology acceptance.

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