Behavioral Intention to Use IoT Health Device: The Role of Perceived Usefulness, Facilitated Appropriation, Big Five Personality Traits, and Cultural Value Orientations

Author(s):  
Tommy Prayoga ◽  
Juneman Abraham

As one of the biggest technology breakthrough, Internet of Things (IoT) has been gaining much attention in every industry it’s involved in. Especially in the healthcare sector, IoT health devices have been proved to have a great impact on individual’s health regulation. Through many beneficial features from tracking sleep patterns to tracking chemicals in the blood, individuals will gain a better understanding of their body and how to keep it healthy. However, great benefit is one thing, and it does not immediately equal users’ acceptance. In this study, we seek to find elements that we propose to have an impact in predicting user’s intention of using IoT health device and integrate them into a model. We will analyze user’s technology acceptance from the perspective of Technology Acceptance Model, using Perceived Usefulness as the main predictor for Behavioral Intention. We also integrate Personality Traits and Facilitated Appropriation as factors to determine Perceived Usefulness, and finally using Hofstede’s Cultural Value, we seek to determine the antecedent of Facilitated Appropriation. The research design was correlational predictive, with path analysis technique. Participants of this study were 186 college students from IT campus (75 males, 111 females; mean of age = 20.86 years of old, standard deviation of age = 2.01 years) across Greater Jakarta. The results showed that Perceived Usefulness can predict intention to use the device. However, Personality Traits were found to be irrelevant in predicting perceived usefulness. Only Facilitated Appropriation could predict perceived usefulness. Among cultural values proposed, only the Long-term Orientation can predict user’s tendency to engage in Facilitated Appropriation. Also, we did not find any correlation between age and all technology acceptance factors (Behavioral Intention, Perceived Usefulness, and Facilitated Appropriation).

Author(s):  
Tommy Prayoga ◽  
Juneman Abraham

As one of the biggest technology breakthrough, Internet of Things (IoT) has been gaining much attention in every industry it’s involved in. Especially in the healthcare sector, IoT health devices have been proved to have a great impact on individual’s health regulation. Through many beneficial features from tracking sleep patterns to tracking chemicals in the blood, individuals will gain a better understanding of their body and how to keep it healthy. However, great benefit is one thing, and it does not immediately equal users’ acceptance. In this study, we seek to find elements that we propose to have an impact in predicting user’s intention of using IoT health device and integrate them into a model. We will analyze user’s technology acceptance from the perspective of Technology Acceptance Model, using Perceived Usefulness as the main predictor for Behavioral Intention. We also integrate Personality Traits and Facilitated Appropriation as factors to determine Perceived Usefulness, and finally using Hofstede’s Cultural Value, we seek to determine the antecedent of Facilitated Appropriation. The research design was correlational predictive, with path analysis technique. Participants of this study were 186 college students from IT campus (75 males, 111 females; mean of age = 20.86 years of old, standard deviation of age = 2.01 years) across Greater Jakarta. The results showed that Perceived Usefulness can predict intention to use the device. However, Personality Traits were found to be irrelevant in predicting perceived usefulness. Only Facilitated Appropriation could predict perceived usefulness. Among cultural values proposed, only the Long-term Orientation can predict user’s tendency to engage in Facilitated Appropriation. Also, we did not find any correlation between age and all technology acceptance factors (Behavioral Intention, Perceived Usefulness, and Facilitated Appropriation).


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mine Bertan Yılmaz ◽  
Kerem Rızvanoğlu

Purpose This study aims to determine system quality (SQ) and information quality (IQ) characteristics of voice assistants (VA) on smartphones that are affecting users’ satisfaction and technology acceptance, and how these affect behavioral intention (BI) to use. Design/methodology/approach This study uses the integrated model of user satisfaction and technology acceptance to evaluate users’ behavioral intention to use VAs on smartphones. The model represents a causal chain from the key characteristics of SQ and IQ to beliefs and attitudes that ultimately affect use. An online survey was conducted with 75 university students, and the data was analyzed using multivariate analysis: Simple linear regression analysis and multiple regression analysis. Findings While SQ and IQ of VAs had stronger effects on perceived ease of use (PEU), information satisfaction and PEU showed significant influences on perceived usefulness (PU). The results supported the influence of PEU, PU, and attitude on BI to use but with lesser effect than what PU and attitude together had on BI. Research limitations/implications The sample was drawn from a population of students at a single and small university. Although this study received 160 responses, only 75 were appropriate for analysis. Originality/value There is no research, which adopts technology acceptance and user satisfaction approaches to VAs. To measure the causal effects, this study determined system and information characteristics that could explain SQ and IQ of the current VAs on smartphones. This study tested the proposed framework within the scope of the integrated approach.


2021 ◽  
Author(s):  
Rurid Dwi Anggraeny ◽  
Imam Baihaqi

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


2021 ◽  
Vol 4 (1) ◽  
pp. 11-16
Author(s):  
Imam Ali Khumaidi ◽  
Rinda Hesti Kusumaningtyas

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.


Author(s):  
Myra V De Leon

Mobile banking enables clients to bank virtually without restrictions to time and place. Despite wide adoption of mobile banking around the world, use of mobile banking is still considered low. Philippines has the lowest digital banking penetration across Asian countries although the country known for the title of “SMS-intensive country in the world”. Factor analysis, partial least squares structural equation modelling (PLS-SEM) and ANOVA with bootstrapping were used to test research hypotheses. Findings from 212 Universal bank retail branch clients show that perceived ease of use, perceived usefulness, social influence and trust propensity have significant positive influence on behavioral intention to use mobile banking. Results also show that respondents with matured age (22 years and above), male, at least Bachelor Degree graduate and receiving a monthly income higher than Php 10,001 has higher behavioral intention. This study is relevant for proposing marketing strategies to increase adoption of mobile banking and contribute for further advancement on technology acceptance literature.


2020 ◽  
Vol 16 (4) ◽  
pp. 14-34
Author(s):  
Ibtehal Mahmoud Aburezeq ◽  
Fawzi Fayez Ishtaiwa-Dweikat ◽  
Marielle Patronis

This study aimed to qualitatively investigate the factors that influence teachers' behavioral intention to use mobile technology (BIU) for language teaching employing the original technology acceptance model (TAM) as a framework. Semi-structured interviews were conducted with 28 Arabic and English teachers. The study results revealed that there were several external variables influencing teachers' behavioral intention to use mobile technology. It was also found that participants had mixed levels of perceived ease of use (PEOU), perceived usefulness (PU), and attitude toward use (ATU). Moreover, it was concluded that ATU had a direct impact on BIU and PU was the responsible factor for participants who had a mixed ATU.


Author(s):  
Lim Wen Ying ◽  
Chew Yuin Xian ◽  
Chan Cyn Ye ◽  
Leow Shyir Khie ◽  
Siti Badriyah Mohamad Rozlan ◽  
...  

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.


Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1286
Author(s):  
Alejandro Álvarez-Marín ◽  
J. Ángel Velázquez-Iturbide ◽  
Mauricio Castillo-Vergara

In this study, we aim to establish the factors that explain the technology acceptance of augmented reality (AR) in students’ engineering education. Technology acceptance of AR apps has been insufficiently investigated. We conceive a theoretical model to explain technology acceptance by relating behavioral intention to use with the variables subjective norm, technology optimism, technology innovativeness, perceived ease of use, perceived usefulness, and attitude toward using. An interactive AR app on electrical circuits was designed to assist students to overcome their difficulties in understanding how electricity works. A theoretical model was hypothesized and tested using structural equation modeling. The study was conducted using a sample of 190 engineering students. The results demonstrate the positive effect of technology optimism and technology innovativeness on perceived usefulness and attitude toward using, respectively. Furthermore, they suggest that attitude toward using is influenced by perceived usefulness but not directly by perceived ease of use. This could mean that students would be willing to use this app if they find it useful and not just easy to use. Finally, the results illustrate that attitude toward using firmly explains behavioral intention to use, which is consistent with the findings in previous studies. These results could guide how academics and higher education centers should approach the incorporation of these technologies in classrooms.


2020 ◽  
Vol 3 (2) ◽  
pp. 75-85
Author(s):  
Tessa Vanina Soetanto ◽  
Adelina Proboyo ◽  
Prilya Angel Putri

E-commerce market in Indonesia has tremendous growth and predicted to become significant contributor to Foreign Direct Investment. Millennials, heavily affected by technology and internet, considered to be the driver growth of e-commerce. Applying the theory of modified Technology Acceptance Model (TAM), this research analyzes whether perceived of ease of use and perceived usefulness mediate the impact of computer self-efficacy on the behavior of e-commerce users to use Lazada platform. The study was a quantitative study with online questionnaire. Data of 200 respondents were analyzed by Structural Equation Modelling and the result shows that computer self-efficacy indirectly affects behavioral intention to use through perceived ease of use. Perceived usefulness and attitude towards use are not significant mediators because of their insignificance on intention to use. Computer self-efficacy has significant impact on behavioral intention mediated by perceived ease of use, but not by perceived usefulness.


TEMATIK ◽  
2016 ◽  
Vol 3 (2) ◽  
pp. 51-60
Author(s):  
Yuyun Tresnawati, M.Kom

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.


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