scholarly journals An Empirical Research on the Construction of a Government Website Public Satisfaction Index Model in China

2021 ◽  
Vol 29 (5) ◽  
pp. 112-137
Author(s):  
Haitao Li
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
Satisfaction Index ◽  
Index Model ◽  
Government Websites ◽  
The Government ◽  
Acceptance Model ◽  
Government Website

With proliferated applications of the internet and world wide web, people are increasingly interacting with government websites. It is therefore significant to measure satisfaction on government systems from citizen's perspective. While general customer satisfaction index (CSI) models have received much attention from researchers, few studies are conducted to evaluate public satisfaction on government websites. The extent to which traditional CSI models can be extended to investigate public satisfaction on government websites remains unclear. On analysis of CSI, technology acceptance model (TAM), and task-technology fit (TTF) model, this study constructs a government website public satisfaction index (GWPSI) model and provides an empirical study by adapting GWPSI model in the context of G2C e-government. Structural equation modeling (SEM) is applied to data collection and processing with questionnaires collected from users of the government website of Guangdong Province in China. The findings provide several important implications for e-government research and practice.

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 Analisis Penggunaan E-Commerce Terhadap Peningkatan Permintaan Kuantitas Produk Pada UMKM di Kabupaten Banyumas (Suatu Pendekatan Teori Technology Acceptance Model)

2019 ◽  
Vol 10 (1) ◽  
pp. 63-74
Author(s):  
Dona Primasari ◽  
Sudjono Sudjono ◽  
Nining Abriani
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Sampling Technique ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Use Behavior

Abstract. The long-term objective of this research is to enrich the development of science, especially the development of SMEs related to the adoption of information technology with studies using the Technology Acceptance Model. The specific aim of the research is to examine what factors are inhibiting the adoption of e commerce technology in SMEs in Banyumas Regency, as well as examining whether e-commerce adoption has an impact on increasing the demand for product quantities in SMEs. Collecting data in this study was carried out by distributing questionnaires through direct interviews with SMEs in Banyumas District who were respondents. The sampling technique in this study using random sampling technique. Whereas for data analysis using Statistical Product and Service Solution (SPSS) version 22.0 and Structural Equation Modeling (SEM) with AMOS program. The results of the study show that the Technology Acceptance Model theory is able to explain the institutions of SMEs actors to use e-commerce technology. Keywords: E-commerce, perceived usefulness, perceived ease of use, use behavior,TAM (Technology Acceptance Model) Abstrak. Tujuan jangka panjang penelitian ini adalah untuk memperkaya perkembangan ilmu, khususnya pengembangan UMKM terkait dengan adopsi teknologi informasi dengan kajian menggunakan Technology Acceptance Model.  Tujuan khusus penelitian adalah untuk menelaah faktor-faktor apakah yang menghambat adopsi teknologi e commerce pada UMKM di Kabupaten Banyumas, serta menelaah apakah adopsi e- commerce berdampak pada peningkatan permintaaan kuantitas produk pada UKM. Pengumpulan data dalam penelitian ini dilakukan dengan menyebarkan kuesioner melalui antar langsung kepada pelaku UMKM di Kabupaten Banyumas yang menjadi responden.  Teknik pengambilan sampel dalam penelitian ini dengan menggunakan teknik random sampling. Sedangkan untuk analisis data mengunakan Statistical Product and Service Solution (SPSS) versi 22.0 dan Structural Equation Modeling (SEM) dengan program AMOS. Hasil penelitian menunjukkan bahwa teori Technology Acceptance Model  mampu menjelaskan instensi para pelaku UMKM untuk menggunakan teknologi e-commerce.  Hasil penelitian juga berhasil menerima 3 (tiga) hipotesis yaitu Perceived usefulnes  berpengaruh terhadap use behavior, Perceived ease of use berpengaruh terhadap use behavior, use behavior  berpengaruh terhadap peningkatan permintaan kuantitas produk.  Hasil penelitian juga menunjukkan implementasi e-commerce tidak berpengaruh terhadap persepsi manfaat (perceived usefulness), Implementasi e-commerce tidak berpengaruh terhadap persepsi kemudahan pengoperasian sistem  (perceived ease of use) atau dengan kata lain menolak 2 (dua) hipotesis lainnya.Keywords. E-commerce, perceived usefulnes, perceived ease of use, use behavior,peningkatan permintaan, TAM  (Technology Acceptance Model)

scholarly journals Predictive factors of physicians’ satisfaction with telemedicine services acceptance

2019 ◽  
Vol 26 (3) ◽  
pp. 1866-1880 ◽  
Author(s):  
Jonathan Kissi ◽  
Baozhen Dai ◽  
Courage SK Dogbe ◽  
Jonathan Banahene ◽  
Oyeh Ernest
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Predictive Factors ◽  
Structural Equation ◽  
Care Delivery ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Despite the significant increase in telemedicine services technology, its adoption and use have been quite slow in some healthcare settings. It is generally accepted in today’s globalizing world that the success of telemedicine services relies on users’ satisfaction. Satisfying physicians and patients is one of the crucial objectives of telemedicine success. This study seeks to evaluate physicians’ satisfaction with telemedicine services adoption and utilization using the technology acceptance model. A structured questionnaire based on the construct of technology acceptance model was used to solicit for data from participants in four different government health institutions. Purposive and convenience sampling techniques were employed to select healthcare professionals from various medical fields. Structural equation modeling was utilized in the data analysis. Perceived ease of use and perceived usefulness of telemedicine services were found to influence physicians’ behavioral intentions. This resulted in increased efficiency, quality of services, quality patient care delivery, and satisfaction among physicians in using telemedicine services. We noted that the adoption of telemedicine services in clinical settings depends on physicians’ and patients’ satisfaction with the use of the service. The study contributes to empirical knowledge by identifying the vital predictive factors affecting telemedicine services satisfaction among physicians.

scholarly journals Comparing Technology Acceptance for Autonomous Vehicles, Battery Electric Vehicles, and Car Sharing—A Study across Europe, China, and North America

2019 ◽  
Vol 11 (16) ◽  
pp. 4333 ◽  
Author(s):  
Julian M. Müller
Keyword(s):  
North America ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Combustion Engine ◽  
Autonomous Driving ◽  
Equation Modeling ◽  
Car Sharing ◽  
Societal Norms ◽  
Acceptance Model

The automotive industry today faces three major transitions: the emergence of autonomous driving, electric powertrain replacing the internal combustion engine, and changes in possession of automobiles, e.g., increased usage of car sharing. As all three transitions are fostered by technologies that drive digital transformation of automobiles, the Technology Acceptance Model (TAM) by Davis represents the underlying research model of this paper. Hypotheses are developed and tested for a sample of 1177 participants using Partial Least Squares Structural Equation Modeling (PLS-SEM). Group differences are investigated for three markets: Europe, North America, and China. The paper confirms the underlying assumptions of the Technology Acceptance Model in the context of automobiles. Further, it illustrates influential societal norms and individual experiences for technology acceptance. In addition, compound effects for technology acceptance are found, e.g., the perceived enjoyment of electric driving affects the acceptance of autonomous driving and car possession behavior. The novel approach to integrate three different technologies within the Technology Acceptance Model requires unifying items to a level which makes them comparable, limiting the results for each individual technology. For practice, automotive manufacturers obtain advice on how to foster technology acceptance. For society, the paper uncovers the role of societal norms for technology acceptance in the context of automobiles. Policy makers can obtain insights on how to successfully increase technology acceptance, e.g., for environmental purposes. Conclusively, the paper applies the Technology Acceptance Model for three developments in the context of automobiles, thereby extending current research using the Technology Acceptance Model.

Student Acceptance of University Web Portals

2014 ◽  
Vol 6 (2) ◽  
pp. 42-58 ◽  
Author(s):  
Nafsaniath Fathema ◽  
Margaret Ross ◽  
Maria Martinez Witte
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Explanatory Power ◽  
Equation Modeling ◽  
Web Portals ◽  
Basic Services ◽  
Acceptance Model ◽  
Facilitating Conditions ◽  
Practical Implications

A large number of university web portal's content and design do not meet today's students' expectations and requirements. To address students' expectations, universities spend millions on the redesign and maintenance of their web portals which students say are inadequate and lack basic services. To this end, this study explored the factors that influence students' acceptance of university web portals. It proposed an extension of Davis's (1989) Technology Acceptance Model (TAM) by adding three user related external constructs in it. A total of 429 usable responses were collected from university students through a web survey. Data were analyzed using structural equation modeling. The results of the study revealed that website quality, perceived self-efficacy, and facilitating conditions were significant in explaining students' use of university web portals and therefore, indicated that the extended TAM has sufficient explanatory power to explain students' usage of university web portals. In conclusion, important theoretical and practical implications of the results are presented for both researchers and practitioners.

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 Extending of Technology Acceptance Model in Using Online Health Applications in The Covid-19 Pandemic Era

2021 ◽  
Vol 2 (9) ◽  
pp. 752-763
Author(s):  
Didik Setyawan ◽  
Muhammad Zul Ashari ◽  
Ariefah Yulandari
Keyword(s):  
Health Services ◽  
Social Influence ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Equation Modeling ◽  
The People ◽  
Acceptance Model ◽  
Health Applications

The Covid-19 pandemic has changed behavior of the people in getting health services that switch to online ones. The study examines the extending of the Technology Acceptance Model (TAM) in using health applications. TAM is no longer relevant to be applied on the specific application studies. The expansion that carried out adds to the variables of social influence, feelings of anxiety, and availability of services in developing attitudes to influence behavioral intentions. Data collected using online questionnaires for users of the Halodoc application as many as 200 respondents. The results of hypothesis testing using the Structural Equation Modeling analysis with the AMOS method show that attitudes are the determinants in forming behavioral intentions which are influenced by perception of usefulness, ease of perception, social influence, and service availability, but not from the feelings of anxiety. These results indicate that individuals perceive Halodoc as providing benefits, easy to use, influencing environment, and well-available services. Therefore it can ignore the anxiety in using the Halodoc application during the Covid 19 pandemic to get health services.

scholarly journals Research on Academic Information System Unnes Using Technology Acceptance Model (TAM)

2019 ◽  
Author(s):  
Wahyu Hardyanto ◽  
Sugiyanto Sugiyanto ◽  
Aji Purwinarko ◽  
Aryono Adhi
Keyword(s):  
Information System ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Graduate Program ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Academic Information ◽  
Acceptance Model

Online assessment has been carried out research on academic information system Unnes using Technology Acceptance Model (TAM) whose goal is to achieve accountability in academic application by taking the Graduate Program Unnes sampling. The method used to carry out this research through interviews/in dept interviews, documentation and questionnaires. Analyses were performed using analysis of Structural Equation Modeling (SEM) based covariance AMOS (Analysis of Moment Structures). The results obtained overall, Knowledge of Search Domain has no effect on Perceived Ease of Use. However, CMIN / DF qualified, because it has a value of≤2.

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