Understanding the Adoption of Voice Activated Personal Assistants

2017 ◽  
Vol 9 (3) ◽  
pp. 1-21 ◽  
Author(s):  
Abide Coskun-Setirek ◽  
Sona Mardikyan
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Statistical Technique ◽  
Research Model ◽  
User Behaviors ◽  
Proposed Model ◽  
Device Applications ◽  
Personal Assistants ◽  
Acceptance Model

This study aims to investigate the factors that affect the usage of voice-activated personal assistants (VAPA) which are mobile device applications such as Siri, Google Now, S Voice, Cortana, Alexa, etc. A theoretical framework is proposed based on the relative technology acceptance model constructs in the light of literature. Data are collected from a total of 183 people with a survey questionnaire. Structural equation modelling (SEM) was applied as the major statistical technique for data analysis. The proposed model has the potential to help technology companies to understand some of the factors influencing user' behaviors and attitudes toward VAPA and improve the technology quality. There are few researches about voice-activated technology adoption in the literature and this is first paper that proposes a research model for acceptance of VAPA.

Extending the Technology Acceptance Model to Investigate the Utilization of ERP Systems

2010 ◽  
Vol 6 (4) ◽  
pp. 38-54 ◽  
Author(s):  
Samar Mouakket
Keyword(s):  
Technology Acceptance ◽  
United Arab Emirates ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Systems Design ◽  
Equation Modeling ◽  
Research Model ◽  
Erp Systems ◽  
Acceptance Model ◽  
The Impact

The implementation of Enterprise Recourse Planning (ERP) systems has grown rapidly, but limited research has been conducted to investigate the utilization of ERP systems. By extending the Technology Acceptance Model, this paper provides a research model for examining the impact of computer self-efficacy and ERP systems design features on the utilization of ERP systems. To test the proposed research model, data are collected through a questionnaire survey distributed among employees in different organizations that have implemented an ERP system in the United Arab Emirates. Structural equation modeling techniques are used in this study to verify the causal relationships between the variables. The results strongly support the extended TAM in understanding employees’ utilization of ERP systems. The implications of this study and further research opportunities are also discussed.

Extending the Technology Acceptance Model to Investigate the Utilization of ERP Systems

2012 ◽  
pp. 1-18 ◽  
Author(s):  
Samar Mouakket
Keyword(s):  
Technology Acceptance ◽  
United Arab Emirates ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Systems Design ◽  
Equation Modeling ◽  
Research Model ◽  
Erp Systems ◽  
Erp System ◽  
Acceptance Model

The implementation of Enterprise Recourse Planning (ERP) systems has grown rapidly, but limited research has been conducted to investigate the utilization of ERP systems. By extending the Technology Acceptance Model, this paper provides a research model for examining the impact of computer self-efficacy and ERP systems design features on the utilization of ERP systems. To test the proposed research model, data are collected through a questionnaire survey distributed among employees in different organizations that have implemented an ERP system in the United Arab Emirates. Structural equation modeling techniques are used in this study to verify the causal relationships between the variables. The results strongly support the extended TAM in understanding employees’ utilization of ERP systems. The implications of this study and further research opportunities are also discussed.

Exploring College Students’ Intention to Adopt e-Textbooks: A Modified Technology Acceptance Model

Libri ◽  
2015 ◽  
Vol 65 (2) ◽  
Author(s):  
Chun-Hua Hsiao ◽  
Kai-Yu Tang ◽  
Chien-Hung Lin
Keyword(s):  
College Students ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Adopt ◽  
Proposed Model ◽  
Perceived Enjoyment ◽  
Acceptance Model

AbstractThis study aims to verify and propose a modified technology acceptance model (TAM) to understand the antecedents of e-textbook adoption among college students. An extended TAM is to investigate college students’ intention to adopt e-textbooks. Measurement items were drawn and modified from existing validated scales. After data were collected from college students in Taiwan, structural equation modelling was employed to examine and compare the proposed model with the original model. Moreover, two tests were conducted to determine the extent of common method variance in the current data. The empirical findings support the inclusion of perceived enjoyment in the TAM. The proposed model explained 43% of the variance in behavioural intention, but explained 71% of the variance in attitudes, suggesting an explication of how the different determinants influence college students’ adoption of e-textbooks. The significance of the chi-square difference between the two models indicates that our proposed model shows a better fit to the data than the TAM does. Besides, perceived enjoyment is a critical factor in the influence of attitudes towards the usage of e-textbooks. Perceived ease of use is more influential than perceived usefulness in the determination of attitudes.

e-Academic: Proposed Model based on Approach Technology Acceptance Model

2021 ◽  
Vol 12 (8) ◽  
pp. 477-493
Author(s):  
Ri ki ◽  
Aditiya Hermawan ◽  
Yo Ceng Giap ◽  
Yusuf Kurnia ◽  
P. Amesanggeng
Keyword(s):  
Information System ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Codes Of Conduct ◽  
The Internet ◽  
Research Model ◽  
Communication Processes ◽  
Proposed Model ◽  
Study Programs ◽  
Acceptance Model

In 2004 the campus information system began to use the internet as an academic tool between students, lecturers, study programs, finance. In the system, there are several models of communication processes built, one of which is the existence of facilities for the content and values of staff, in addition to announcements, academics, finance, and college approval. To find out the causal relationship between the factors that influence the level of campus student acceptance for users. This research includes Exploration research using the Technology Acceptance Model, expenditure using AMOS software. In the Normal Ranking Table, you can see the value in column c.r. All in the recommended amount from -2.58 to 2.58. Therefore, it can be announced that the data is normally distributed, Mahalanobis d-squared assesses that there is nothing greater than the table, which means that it is not an outlier and the determinant value of the covariance matrix obtained is 51345,276 far from zero, it can be concluded that there are no multicollinearity and singularity problems in the analyzed data iso that the data is declared valid. Based on the Final Research Model, it can be accepted that the benefit variable requires acceptance of campus students. After utilizing comfort, take advantage when using. Based ion this phenomenon, it can be used, the use of "voluntary" technology that is used using codes of conduct, attitudes, and intentions in an application. In this case, it can be concluded that respondents "voluntarily" use.

scholarly journals The Acceptance of the i-NILAM System by Librarian Media Teacher

2013 ◽  
Vol 4 (11) ◽  
pp. 326-330
Author(s):  
Nor Azah Mansor ◽  
Ramlah Mailok .
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Current System ◽  
Specific Model ◽  
Consumer Acceptance ◽  
Equation Modeling ◽  
Research Model ◽  
Acceptance Model ◽  
Theory Acceptance

The i-NILAM system is a system that records activity of Nadi Ilmu Amalan Membaca (NILAM) in school. In order to predict user acceptance in technology, the researchers have decided to assess the current system based on theory acceptance model. The Technology Acceptance Model has been adopted as the theoretical framework to determine whether it could help to explain actual individual behavior using the technology. A questionnaire survey has been used and it involves 120 librarian media teachers from schools in Batang Padang district. More importantly, this system will contribute to the efficiency of the management of NILAM Programme. This paper also discusses the theory acceptance model which is a specific model based to explain and expect consumer acceptance towards technology. The results of structural equation modeling using AMOS 18 supported the adequacy of research model.

A Study of Using Smart Digital Content Technology in Retail Stores

2013 ◽  
Vol 411-414 ◽  
pp. 2161-2166 ◽  
Author(s):  
D. Y. Sha ◽  
Der Baau Perng ◽  
Guo Liang Lai
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Digital Content ◽  
Equation Modeling ◽  
Test Model ◽  
Information Feedback ◽  
Proposed Model ◽  
Acceptance Model ◽  
Content Information

The main purpose of this study is to identify the critical factors that affect shopping intention of consumers while using smart digital content technology at a retail store. Through verifying the factors in the test model proposed by this study based on the technology acceptance model, we performed structural equation modeling method to test the model and collected data from 209 customers to evaluate the proposed model. The results of this study strongly support that the simplification of user interface and proper information feedback are the important factors to affect the customers intention to use smart digital content information technology.

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 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.

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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