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.

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

2019 ◽  
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 (<i>P</i>&lt;.001), perceived ease of use (<i>P</i>&lt;.001), trust (<i>P</i>&lt;.001), and price-value (<i>P</i>&lt;.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (<i>P</i>=.99). Additionally, there was no statistical significance for age (<i>P</i>=.09), gender (<i>P</i>=.98), or previous app use experience (<i>P</i>=.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.

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 ANALISIS PENERIMAAN SISTEM PEMBELAJARAN BERBASISI EDMODO BAGI PESERTA DIDIK DENGAN MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM)

TEMATIK ◽  
2016 ◽  
Vol 3 (2) ◽  
pp. 51-60
Author(s):  
Yuyun Tresnawati, M.Kom
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Abstrak : Penelitian ini bertujuan untuk memberikan bukti empiris tentang pengaruh sistem pembelajaran berbasis  edmodo terhadap motivasi dan  hasil belajar peserta didik di SMK Negeri 4 Bandung dengan menggunakan TAM (Technologi Acceptance Model).  Penggunaan model TAM didasarkan pada kenyataan bahwa sejauh ini TAM merupakan sebuah konsep yang dianggap paling baik dalam menjelaskan perilaku pengguna terhadap sistem teknologi informasi baru. Penelitian ini berjudul “Analisis Penerimaan Sistem Pembelajaran Berbasis Edmodo Bagi Peserta Didik Dengan Menggunakan Technology Acceptance Model  (Study Kasus  Pada SMKN  4 Bandung)”. Populasi penelitian ini adalah siswa SMK Negeri 4 Bandung kelas XI dan XII rumpun Teknik Informatika. Metode sampling yang digunakan dalam penelitian ini adalah purposive sampling, yang mengambil metode pengambilan sampel dengan didasarkan pada kriteria tertentu. Kriteria sampel penelitian ini adalah siswa yang aktif pada semester ganjil tahun pembelajaran 2015/2016. Analisis multivariat yang dilakukan menggunakan Structural Equation Modeling (SEM) dengan software AMOS (Analysis Of Moment Structure), Hasil penelitian ini membuktikan hanya 5 hipotesis diterima dari total 9 hipotesis yang diajukan. Hanya pada hubungan berikut yang terbukti mempunyai pengaruh positif : a)  Perceived Ease of Use (PEOU) terhadap  Perceived Usefulness (PU),  b) Attitude Toward Using ( ATU) terhadap  Perceived Enjoyment (PE),c) Attitude Toward Using (ATU) terhadap Perceived Usefulness (PU),d) Attitude Toward Using (ATU) terhadap  Perceived Ease of Use (PEOU) e) Attitude Toward Using ( ATU) terhadap   Behavioral Intention to Use (BITU), f) Actual Usage (AU)  terhadap  Behavioral Intention to Use (BITU). Hal ini membuktikan bahwa penggunaan sistem pembelajaran berbasis aplikasi edmodo tidak sepenuhnya dapat dijelaskan oleh Technologi Acceptance Model.

scholarly journals Studies used TAM Framework as a guideline for the research: Literature Review

2021 ◽  
Vol 8 (8) ◽  
pp. 641-643
Author(s):  
Omran Alharbi ◽  
Nada Alsheehri
Keyword(s):  
Literature Review ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Research Literature ◽  
Perceived Usefulness ◽  
Depth Information ◽  
Intention To Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Several researchers have adopted theoretical framework such as Technology Acceptance Model (TAM) in order to gent in depth information about the phenomenon that under investigation. This literature review will focus on the papers that adopted TAM framework in their studies in order to understanding which are the most factors that affected behavioral intention to use technology by users. The results of this literature review find out that Perceived Eas of Use and Perceived Usefulness are the most elements that influenced the behavioral intention to use technology.

scholarly journals Acceptance Measurement of Health Insurance Information System Based on Technology Acceptance Model

2018 ◽  
Vol 14 (2) ◽  
pp. 254-263
Author(s):  
Siti Nurhayati ◽  
Nurul Hidayat
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Intention To Use ◽  
Moderate Correlation ◽  
External Variables ◽  
Actual Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The objective of this research is to evaluate P-Care BPJS information system based on Technology Acceptance Model (TAM). The type of research is analytical, cross sectional approach. Number of respondents 206 P-Care BPJS users at primary health care. Data analysis using linear regression. Based on correlation test external variables with percieved usefulness, showed high correlation = 0.6 (p <0.001); external variables with percieved ease of use showed moderate correlation = 0.4 (p <0.001); perceived ease of use with attitude showed moderate correlation = 0.5 (p <0.001); percieved usefulness with attitude showed high correlation = 0.7 (p <0.001); perceived usefulness with actual use showed moderate correlation = 0.5 (p <0.001); behavioral intention to use with percieved usefulness showed moderate correlation = 0.5 (p <0.001); attitude with behavioral intention to use showed high correlation = 0.6 (p <0.001); behavioral intention to use with actual use showed high correlation = 0.7 (p <0.001).

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