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.

scholarly journals Integration of technology acceptance model and theory of reasoned action in pre-dicting e-wallet continuous usage intentions

2021 ◽  
Vol 5 (4) ◽  
pp. 649-658
Author(s):  
Putu Laksmita Dewi Rahmayanti ◽  
I Gusti Ngurah Jaya Agung Widagda ◽  
Ni Nyoman Kerti Yasa ◽  
I Gusti Ayu Ketut Giantari ◽  
Martaleni Martaleni ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Theory Of Reasoned Action ◽  
Reasoned Action ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Continuous Usage Intention ◽  
Acceptance Model

The purpose of this study is to determine the factors influencing continuous usage intention of E-Wallet in Denpasar City with integrating the Technology Acceptance Model (TAM) And Theory of Reasoned Action (TRA). This study applied a structural equation model analysis with 140 samples collected from E-Wallet users in Denpasar City. The results show that all three determinants of E-Wallet continuous usage intention, including perceived usefulness, perceived ease of use, and attitude. Recommendations are provided for E-Wallet providers to improve their user continuous usage intention in Denpasar City.

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.

scholarly journals Identifying the Predictors of Participation in Facebook Pictivism Campaigns

2017 ◽  
Vol 3 (3) ◽  
pp. 205630511772763 ◽  
Author(s):  
Anne Oeldorf-Hirsch ◽  
Rory McGloin
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Online Survey ◽  
Theory Of Reasoned Action ◽  
Reasoned Action ◽  
Perceived Usefulness ◽  
Equal Sign ◽  
Intention To Participate ◽  
Acceptance Model ◽  
Profile Pictures

In recent years, several online social campaigns have encouraged individuals to change their Facebook profile pictures for a cause, such as the Human Rights Campaign’s red and pink equal sign in support of same-sex marriage. These “pictivism” campaigns allow individuals to express themselves and participate in a low effort campaign to raise awareness about an issue among their social network. Given the prevalence and potential impact of these campaigns, it is important to understand what predicts one’s participation. This study applies elements of the Theory of Reasoned Action and Technology Acceptance Model in an online survey ( N = 300) of Facebook users to investigate which individual and social factors predict participation in these campaigns. Results indicate that attitudes toward participation are predicted by network norms about participation, ease of participation, and perceived usefulness of participation. In turn, these attitudes predict intention to participate and actual participation. These results imply that participation is influenced both by factors surrounding the message of the campaign and by the norms of the network itself. This work extends Theory of Reasoned Action and Technology Acceptance Model to understanding participation in online social campaigns, with considerations for key limitations in this context.

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.

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