scholarly journals Application of Technology Acceptance Model (TAM) in predicting user intention to use Malaysian Business Reporting System (MBRS): A Conceptual Paper

2020 ◽  
Vol 4 (4) ◽  
pp. 21-30
Author(s):  
Roslee Uyob ◽  
Keyword(s):  
Technology Acceptance ◽  
Reporting System ◽  
Intention To Use ◽  
Private Company ◽  
User Intention ◽  
Business Reporting ◽  
Accounting Practitioners ◽  
Acceptance Model ◽  
Behavioral Intention To Use ◽  
Theory Acceptance

On 27 September 2018, SSM has introduce a new submission platform known as Malaysian Business Reporting System (MBRS) that allow company in Malaysia to submit annual submission filing in Extensible Business Reporting Language (XBRL) format. Currently, submission filing using MBRS platform is only mandatory for unaudited companies’ and Certificate for Exempt Private Company (EPC) but it is expected that the mandatory submission shall be enforced to other type of companies soon. By applying Theory Acceptance Model (TAM), this study proposes a conceptual model to examine the behavioral intention to use MBRS by accounting practitioners in Malaysia. The resulting model will guide the development of strategies, especially for the Companies Commission of Malaysia (SSM) in promoting MBRS adoption in the future reporting.

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 Analysis of E-Marketplace Use in East Java’s MSMEs Using the Technology Acceptance Model Approach

2021 ◽  
Author(s):  
Rurid Dwi Anggraeny ◽  
Imam Baihaqi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Technology Use ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The e-commerce industry has the potential to be one of the drivers of the domestic economy. One of the impacts of the advancement of e-commerce is the emergence of many online-based marketplaces or so-called e-marketplaces. However, a lot of these online marketplaces sell 90% imported products. In addition, the outbreak of Covid-19 in Indonesia has prompted the government to establish several policies that have significantly reduced MSME performance by up to 70-100%. This study aimed to provide an empirical analysis of the influence of factors based on the Technology of Acceptance Model (TAM) approach, namely e-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces. The sample consisted of MSMEs in East Java, especially those engaged in the food and beverage industry sector with ready-to-eat processed food products whose business activities use the Shopee e-marketplace application platform. This is an online shopping marketplace focused on mobile platforms. There were 150 respondents. The Structural Equation Model (SEM) was used. E-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces all had positive effects on each other. This showed that a system that offers convenience will improve behavior, habits, and performance for MSMEs in using e-marketplace activities. The theoretical and methodological implications and opportunities for further research are discussed. Keywords: MSMEs, e-marketplace, technology acceptance model

scholarly journals Technology Acceptance Model Perilaku Pengguna pada Sistem Enterprise Dompet Dhuafa

2021 ◽  
Vol 4 (1) ◽  
pp. 11-16
Author(s):  
Imam Ali Khumaidi ◽  
Rinda Hesti Kusumaningtyas
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Actual System ◽  
Web Based ◽  
Tam Model ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Dompet Dhuafa Enterprise System (DESI) is a system created in 2015. Initially it was created to replace the Fundrising Administration System (SANDRA) because SANDRA is a desktop-based application. Nowadays DESI is only used for budgeting functions and “Tebar Hewan Kurban” (THK) its a sacrificial animal stocking functions. DESI which has daily functions such as budgeting and seasonal functions in THK. In its implementation, DESI which is a web-based system sometimes becomes difficult to access when the system has a problem. This certainly makes the budgeting function that is used in daily activities become not implemented. THK's function in DESI was also inseparable from problems, one of which was the presence of volunteers who did not directly enter the data of prospective victims into DESI during the THK implementation. New data entered into DESI on the first Tasyrik day, for example, will increase work in other divisions. It would be different if it had been done before the sacrificial feast. This study aims to determine the factors that influence the acceptance behavior of DESI users. In this quantitative study using the Technology Acceptance Model (TAM) model. Sampling in this study using purposive sampling and accidental sampling. This study uses PLS-SEM for data processing and uses the application of SmartPLS version 3. There are 6 variables examined in this study, namely perceived usefulness, perceived easy of use, format, attitude using, behavioral intention to use, and actual system usage. From 7 hypotheses proposed there is one hypothesis that is rejected, namely the path attitude toward using the behavioral intention to use.

scholarly journals Toward the Adoption of Anaerobic Digestion Technology through Low-Cost Biodigesters: A Case Study of Non-Centrifugal Cane Sugar Producers in Colombia

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2566
Author(s):  
Oscar Mendieta ◽  
Liliana Castro ◽  
Erik Vera ◽  
Jader Rodríguez ◽  
Humberto Escalante
Keyword(s):  
Anaerobic Digestion ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Low Cost ◽  
Cane Sugar ◽  
Intention To Use ◽  
Promising Alternative ◽  
Proposed Model ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Anaerobic digestion using low-cost biodigesters (LCB) is a promising alternative for Colombian producers of non-centrifugal cane sugar (NCS). Since the integration of anaerobic digestion technology in this agro-industry is novel, it is critical to understand the factors that affect the acceptance behavior of such technology by NCS producers to develop future policies that promote the adoption of sustainable energy alternatives. This study aimed to analyze NCS producers’ behavioral intention to use LCB by utilizing an extended technology acceptance model (TAM). Data from a survey of 182 producers were used to evaluate the proposed model empirically. The extended TAM accounted for 78% of the variance in producers’ behavioral intention to use LCB. Thus, LCB acceptability could be fairly precisely predicted on the basis of producers’ intentions. This study’s findings contribute to research on the TAM and provide a better understanding of the factors influencing NCS producers’ behavioral intention to use LCB. Furthermore, this approach can assist policymakers at the local and global levels, given that NCS is produced in various developing countries worldwide.

YouTube for Procedural Learning

2021 ◽  
pp. 179-196
Author(s):  
Lim Wen Ying ◽  
Chew Yuin Xian ◽  
Chan Cyn Ye ◽  
Leow Shyir Khie ◽  
Siti Badriyah Mohamad Rozlan ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Teaching And Learning ◽  
Procedural Learning ◽  
Perceived Usefulness ◽  
Future Research ◽  
Intention To Use ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Behavioral Intention To Use

YouTube is reshaping teaching and learning across the world and is becoming a preferred platform for students' procedural learning to acquire relevant skills and knowledge in implementing any tasks. The aims of this research are to assess factors influencing student intention to use YouTube for procedural learning. In addition, the technology acceptance model (TAM) was applied as the underpinning theory. Data was analyzed to examine the hypothesized relationships. Results revealed that content richness, task-technology fit, YouTube self-efficacy, and vividness significantly affect students' behavioral intention to use YouTube for procedural learning. Results infer that YouTube enlarges its function as a mass-oriented means for procedural learning as students develop positive perceived usefulness of YouTube to influence their behavioral intention to use YouTube. This study integrated TAM and assessed factors influencing student intention to use YouTube for procedural learning. Future research directions are also put forward.

User Acceptance of mHealth Apps: Applying an Extended UTAUT2 Model to Explain Acceptance of Lifestyle and Therapy Apps (Preprint)

2021 ◽  
Author(s):  
Eva-Maria Schomakers ◽  
Chantal Lidynia ◽  
Luisa Vervier ◽  
André Calero Valdez ◽  
Martina Ziefle
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Digital Health ◽  
Cost Effective ◽  
Intention To Use ◽  
Healthcare Applications ◽  
Online Questionnaire ◽  
Acceptance Model ◽  
Behavioral Intention To Use ◽  
Mhealth Apps

BACKGROUND Mobile healthcare applications (mHealth apps) are a promising technology to monitor and control health individually and cost-effective with a technology that is widely used, affordable and ubiquitous in many people's lives. Download statistics show that lifestyle apps are widely used by young and healthy users to improve fitness, nutrition, and more. While this is an important aspect for the prevention of future chronic diseases, the burdened healthcare systems worldwide may directly profit from the use of therapy apps by those patients already in need for medical treatment and monitoring. OBJECTIVE Therefore, by comparing lifestyle and therapy apps, we aim at better understanding what influences potential users’ decisions to use (or not to use) mHealth apps. METHODS We apply the established UTAUT2 technology acceptance model to evaluate mHealth apps in an online questionnaire with n = 707 German participants. Additionally, trust and privacy concerns are added to the model and in a between-subject study design the influence of these predictors on behavioral intention to use is compared between lifestyle and therapy apps. RESULTS The results show that the model does only weakly predict the intention to use mHealth apps (R2 = .019). Only hedonic motivation is a significant predictor of behavioral intentions regarding both app types (lifestyle: .196, p < .01; therapy: .344, p < .001). Habit influences the behavioral intention to use lifestyle apps (.272, p < .001), while social influence (.185, p < .001) and trust (.273, p < .001) predict the intention to use therapy apps. A further exploratory correlation analysis of the relationship between user factors on behavioral intention was calculated. Health app familiarity shows the strongest correlation to the intention to use (r = .469, p < .001), stressing the importance of experiences. Also age, education level, app familiarity, digital health literacy, privacy disposition, and the propensity to trust apps correlate weakly to behavioral intention to use mHealth apps. CONCLUSIONS The results indicate that for the health care context, new and improved acceptance models need to be developed that also integrate user diversity, especially experiences with apps and mHealth.

scholarly journals Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

10.2196/16911 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e16911
Author(s):  
Gorkem Akdur ◽  
Mehmet Nafiz Aydin ◽  
Gizdem Akdur
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Health ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Intention To Use ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Background Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey’s most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users. Objective The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users. Methods We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling. Results Statistical findings suggested that perceived usefulness (P<.001), perceived ease of use (P<.001), trust (P<.001), and price-value (P<.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (P=.99). Additionally, there was no statistical significance for age (P=.09), gender (P=.98), or previous app use experience (P=.14) on the intention to use the app. Conclusions This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform’s dietitians to ensure that users’ interactions with the dietitians are based on trust for the platform and the brand.

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