scholarly journals Evaluate Student Satisfaction of Student Information System Utilising Technology Acceptance Model and Trust in China

2021 ◽  
Vol 13 (4) ◽  
pp. 283-309
Author(s):  
Samar Zaineldeen ◽  
Li Hongbo
Keyword(s):  
Technology Acceptance ◽  
Student Satisfaction ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Considerable Effect ◽  
Statistical Investigation ◽  
Factors Affecting ◽  
Overseas Students ◽  
Student Information ◽  
Acceptance Model

In this study, the factors affecting student satisfaction with student information systems have been investigated by applied Technology Acceptance Model and rust. Partial least squares structural equation modelling implemented to study these factors. 400 authentic responses from overseas students in a large number of universities located in Jiangsu province China have been evaluated. The statistical investigation findings demonstrate that student trust has a considerable effect on student satisfaction; meanwhile, the behavioural intention of use has no significant impact on student satisfaction.

Exploring customers’ attitudes to the adoption of robots in tourism and hospitality

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Abou-Shouk ◽  
Hesham Ezzat Gad ◽  
Ayman Abdelhakim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Service Robots ◽  
Content Type ◽  
Factors Affecting ◽  
Positive Attitudes ◽  
Travel Agencies ◽  
Tourism And Hospitality ◽  
Acceptance Model

Purpose This study aims to explore the factors affecting customers’ attitudes to the adoption of robots in hotels and travel agencies. Design/methodology/approach Structural equation modelling was used to test the extended technology acceptance model based on data collected from 570 customers of hotels and travel agencies. Findings The findings revealed that hotel customers have more positive attitudes to service robots than their peers in travel agencies. Originality/value This research contributes to the literature on robots in tourism and responds to the call to investigate customers’ attitudes to the adoption of robots in developing countries.

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

FACTORS AFFECTING THE ADOPTION OF ELECTRONIC MONEY USING TECHNOLOGY ACCEPTANCE MODEL AND THEORY OF PLANNED BEHAVIOR

2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Electronic Money ◽  
Factors Affecting ◽  
Acceptance Model

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.

scholarly journals Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior

2021 ◽  
Author(s):  
Svenja Mohr ◽  
Rainer Kühl
Keyword(s):  
Artificial Intelligence ◽  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Planned Behavior ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Perceived Behavioral Control ◽  
Labor Costs ◽  
Online Questionnaire ◽  
Acceptance Model

AbstractThe use of Artificial Intelligence (AI) in agriculture is expected to yield advantages such as savings in production resources, labor costs, and working hours as well as a reduction in soil compaction. However, the economic and ecological benefits of AI systems for agriculture can only be realized if farmers are willing to use them. This study applies the technology acceptance model (TAM) of Davis (1989) and the theory of planned behavior (TPB) of Ajzen (1991) to investigate which behavioral factors are influencing the acceptance of AI in agriculture. The composite model is extended by two additional factors, expectation of property rights over business data and personal innovativeness. A structural equation analysis is used to determine the importance of factors influencing the acceptance of AI systems in agriculture. For this purpose, 84 farmers were surveyed with a letter or an online questionnaire. Results show that the perceived behavioral control has the greatest influence on acceptance, followed by farmers’ personal attitude towards AI systems in agriculture. The modelled relationships explain 59% of the total variance in acceptance. Several options and implications on how to increase the acceptance of AI systems in agriculture are discussed.

scholarly journals Exploring the Critical Factors, the Online Learning Continuance Usage during COVID-19 Pandemic

2021 ◽  
Vol 13 (10) ◽  
pp. 5471
Author(s):  
Chuan-Yu Mo ◽  
Te-Hsin Hsieh ◽  
Chien-Liang Lin ◽  
Yuan Qin Jin ◽  
Yu-Sheng Su
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Family Support ◽  
Technology Acceptance Model ◽  
Online Teaching ◽  
Ease Of Use ◽  
Critical Factors ◽  
Factors Affecting ◽  
E Learning ◽  
Acceptance Model

In order to enable online learning to continue developing when the COVID-19 pandemic passes, this study aimed to identify the critical factors that affected the use of e-learning by university students during the pandemic. These critical factors will help to increase the efficiency of future development and deployment of online learning systems. Through a literature review, this study employed the technology acceptance model, social support, and task–technology fit as the theoretical basis to establish the framework of the online learning environment with regards to the technology acceptance model in the context of emergency management. A questionnaire survey was administered to students in universities that had implemented online teaching during the pandemic, and 552 valid responses were collected. The survey explored the factors affecting the willingness of higher education institution students to continue using online learning, and the following conclusions were drawn. (1) The easier an online learning platform was to navigate, the better it was perceived by the students, and thus the students were more willing to use it. (2) Ease of use and usefulness were associated with the teachers’ choice of platform and their ability to achieve a satisfactory fit between the course design and platform navigation, which thereby affected the students’ learning outcomes and attitude towards use. (3) The positive attitude of teachers towards teaching increased the students’ perceived ease of use of online learning. (4) During the pandemic, family support—a major support for teachers in online teaching—enhanced teachers’ attitudes towards, and willingness to provide, online teaching. A high level of support showed that the parents urged the students to learn and complete online learning tasks as instructed by the teachers, implying that family support could affect the students’ habits towards, adaptation to, and identification of online learning. The study results provide insights into the factors affecting the willingness of teachers and students to continue using e-learning platforms.

An Application of the Technology Acceptance Model to Individual Protective Measures (IPMs) Against Viruses

2021 ◽  
pp. 0-7:51 minutes
Author(s):  
Matti Haverila ◽  
Salma Husain
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Protective Measures ◽  
Influenza Pandemics ◽  
Environmental Measures ◽  
Acceptance Model

This presentation describes Technology Acceptance Model (TAM) when using individual protective measures (IPMs) against the spreading of viruses like COVID-19. The constructs in TAM are perceived usefulness, and ease of use, attitude towards the use of IPMs and the actual use as well as social influence, which were measured with relevant indicator variables. The statistical method used in the analysis was Partial Least Squares Structural Equation Modelling (PLS-SEM). IPMs include personal protective measures for everyday use (e.g., voluntary home isolation, respiratory etiquette, and hand hygiene); Personal protective measures for influenza pandemics (e.g., voluntary home quarantine, and use of face masks in community settings); and Environmental measures (e.g., routine cleaning of frequently touched surfaces). The results indicate that all relationships were significant also so that the effect sizes were large to medium with the exception of social influence -> perceived usefulness and social influence -> attitude towards usage.

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