A Comparative Study of Factors’ Influences Affecting Tourists’ Intention to Use Mobile Food Information: Independent Tourists and Package Tourists

2018 ◽  
Vol 15 (01) ◽  
pp. 1850002 ◽  
Author(s):  
Numtip Trakulmaykee ◽  
Thakerng Wongsirichot ◽  
Yaowalak Trakulmaykee
Keyword(s):  
Comparative Study ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Intention To Use ◽  
Comprehensive Model ◽  
Proposed Model ◽  
Mobile Design ◽  
Acceptance Model

The purpose of this paper is to investigate a comprehensive model of international tourists’ intentions to use mobile food information (MFI). The study compares the intentions of independent tourists and package tourists focusing on the influences of mobile design qualities and tourists’ perceptions. The model is based on the technology acceptance model. The results revealed that the proposed model more efficiently predicted intention in groups of independent tourists than in groups of package tour. Furthermore, there are some differences between these groups. The proposed model could contribute to future collaboration between tourist agents and mobile-based developers to achieve the implementation of MFI.

Mobile-Commerce Intention to Use via SMS

2009 ◽  
pp. 230-253 ◽  
Author(s):  
Kamel Rouibah
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Phones ◽  
Theory Of Reasoned Action ◽  
Reasoned Action ◽  
Arab World ◽  
Explanatory Power ◽  
Intention To Use ◽  
Proposed Model ◽  
Acceptance Model

With the widespread use of mobile phones in the Arab world, companies, including banks, are offering different communication channels for their customers to access their services. Among these channels, this study investigates the level of intention to use SMS for banking transactions. To reach this objective the study compares the explanatory power of six technology adoption models to predict SMS intention to use. These models are: the theory of reasoned action, the theory of panned behavior, the technology acceptance model, the decomposed theory of planed behavior, Nyvseen’s et al., (2005) model, and a new model proposed by the authors. A convenient sample of 171 users in Kuwait was used to compare these models using regression analysis. Results show that the decomposed theory of planned behavior has the largest explanatory power, followed by the new proposed model. Results also reveal that the technology acceptance model and the theory of reasoned action have the least explanatory power. These results provide researchers and practitioners with some insights on the adoption of SMS. For researchers, such insights would be useful in understanding the adoption phenomenon, while for practitioners, such insights would provide some basis for adopting certain policies to promote adoption.

Towards a better understanding of the Intention to Use m-Health Apps (Preprint)

2021 ◽  
Author(s):  
Pedro Palos-Sanchez ◽  
Jose Ramon Saura ◽  
Miguel A. Rios Martin ◽  
Mariano Aguayo Camacho
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Benefits ◽  
Ease Of Use ◽  
Intention To Use ◽  
Health Apps ◽  
Proposed Model ◽  
Tam Model ◽  
Health Care Applications ◽  
Acceptance Model

BACKGROUND An increasing number of Mobile Health Applications (m-Health apps) are becoming available to download and use on mobile devices. Even with the increase in availability and use of m-Health apps, there has still not been a lot of research into understanding the Intention to Use this kind of applications. Therefore, the purpose of this paper is to investigate a technology acceptance model that has been specially designed for primary health care applications. The proposed model is an extension of the Technology Acceptance Model (TAM), and it was empirically tested using data obtained from a survey of m-Health apps users (n = 310). The research analyzed two additional external factors: Promotion of Health and Health Benefits. The data was analyzed with PLS-SEM software and confirmed that gender moderates the adoption of m-Health apps in Spain and the explanatory capacity of the proposed model was R2 BIU =76.4%. Likewise, the relationships of the external constructs of the extended TAM model were found to be significant. The results show the importance of healthy habits developed in m-Health apps. In addition, communication campaigns for these apps should be aimed at transferring the usefulness of e-health as an agent for transforming attitudes, and as more health benefits are obtained, ease of use is greater. Also, m-Health apps could be used to predict what the behavior of patients would be in the face of recommendations to prevent pandemics, such as COVID-19 or SARS and to track users’ symptoms while they stay at home. Gender is a determining factor in how it influences the intention to use m-Health apps, so perhaps different interfaces and utilities could be designed according to gender. OBJECTIVE The purpose of this paper is to investigate a technology acceptance model that has been specially designed for primary health care applications. METHODS The proposed model is an extension of the Technology Acceptance Model (TAM), and it was empirically tested using data obtained from a survey of m-Health apps users (n = 310). The research analyzed two additional external factors: Promotion of Health and Health Benefits. The data was analyzed with PLS-SEM analysis. RESULTS The results confirmed that gender moderates the adoption of m-Health apps in Spain and the explanatory capacity of the proposed model was R2 BIU =76.4%. Likewise, the relationships of the external constructs of the extended TAM model were found to be significant. The results show the importance of healthy habits developed in m-Health apps. In addition, communication campaigns for these apps should be aimed at transferring the usefulness of e-health as an agent for transforming attitudes, and as more health benefits are obtained, ease of use is greater. CONCLUSIONS Also, m-Health apps could be used to predict what the behavior of patients would be in the face of recommendations to prevent pandemics, such as COVID-19 or SARS and to track users’ symptoms while they stay at home. Gender is a determining factor in how it influences the intention to use m-Health apps, so perhaps different interfaces and utilities could be designed according to gender. CLINICALTRIAL _

Evaluating Students’ Perceptions of Interactive Response System (IRS)

2011 ◽  
pp. 233-245
Author(s):  
Ying Chieh Liu
Keyword(s):  
University Students ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Interactive Technology ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Response System ◽  
Solid Models ◽  
Proposed Model ◽  
Acceptance Model

A classroom interactive technology, Interactive Response System (IRS) such as NXTudy, is getting popular in the campus. However, little research has explored how students feel regarding to using IRS, and less solid models have been established to depict students’ behaviors systematically. This study develops a model to formulate university students’ perceptions, attitudes and actionable feedback in terms of using IRS by extending Technology Acceptance Model (TAM). A survey was conducted to examine the proposed model and confirm the factor “perceived usefulness” is the most important factor. Instructors should explain the importance of using technology before the class starts and repeat the benefits constantly to enhance students’ understandings, making students realize the usefulness of the technology to raise their intention to use, satisfaction and the willingness of recommending others to use the technology.

Extending the Technology Acceptance Model to Evaluating Students' Perceptions toward Using Technology in the Classroom

2009 ◽  
Vol 1 (4) ◽  
pp. 34-47
Author(s):  
Ying Chieh Liu
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Interactive Technology ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Technology In The Classroom ◽  
Response System ◽  
Solid Models ◽  
Proposed Model ◽  
Acceptance Model

A classroom interactive technology, Interactive Response System (IRS) such as NXTudy, is getting popular in the campus. However, little research has explored how students feel regarding to using IRS, and less solid models have been established to depict students’ behaviors systematically. This study developed a model to formulate university students’ perceptions, attitudes and actionable feedback in terms of using IRS by extending Technology Acceptance Model (TAM). A survey was conducted to examine the proposed model and confirm the factor “perceived usefulness” is the most important factor. Instructors should explain the importance of using technology before the class starts and repeat the benefits of technology constantly to enhance students’ understandings, making students recognize the usefulness of the technology to boost the intention to use, satisfaction and the willingness of recommending others to use the technology.

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.

Behavioural Intention to Use Mobile Entertainment Services among Bangladeshi Students

2016 ◽  
Vol 8 (2) ◽  
pp. 38-53
Author(s):  
Qazi Mahdia Ghyas ◽  
Fumiyo N. Kondo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Theory Of Planned Behaviour ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Planned Behaviour ◽  
Tpb Model ◽  
Questionnaire Surveys ◽  
Acceptance Model ◽  
Improve Service Quality

This study aims to understand why the usage of mobile entertainment services (MES) among young Bangladeshis is negligible. The authors propose a modification of combined technology acceptance model (TAM) and the theory of planned behaviour (TPB) model with additional factors. Questionnaire surveys were conducted in Bangladesh among young adult mobile users. The authors analysed the data of 251 valid responses via four TAM–TPB models. The study model, based on a modified TAM–TPB framework, fits generally well for mobile entertainment services in Bangladesh. The three factors of perceived behaviour control, perceived value, and attitude are important determinants for intention to use mobile entertainment services, and perceived behavioural control has the strongest direct effect on attitude and indirect effect on behavioural intention. The results suggest that mobile companies need to strengthen their organizational and technical support systems and improve service quality and affordability to encourage young consumers to use MES.

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