Factors affecting sustainable adoption of e-health systems in Resource-Limited settings: an exploratory survey of Ethiopian hospitals from the perspective of healthcare professionals. (Preprint)

2019 ◽  
Author(s):  
Mulugeta Hayelom
Keyword(s):  
Technology Acceptance ◽  
Health Systems ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Factors Affecting ◽  
Resource Limited ◽  
Referral Hospitals ◽  
Acceptance Model

BACKGROUND Electronic health (e-health) is becoming a prominent component of the health care system. The implementation and sustainable adoption of e-health systems is now taking as a big agenda in developing countries like Ethiopia, hence it all about saving a millions of lives. Even though there are some pilot e-health implementations, the success and sustainability of the systems are found less than the expected. So, this study aims to fill the gap in identifying the factors affecting sustainable adoption of e-health systems using the revised technology acceptance model at five referral hospitals of Amhara regional state of Ethiopia. OBJECTIVE To identify the factors affecting sustainable adoption of e-health systems using the revised technology acceptance model at five referral hospitals of Amhara regional state of Ethiopia. METHODS Institutional based cross-sectional study design was conducted among a total of 384 health care professionals. Self-administered questionnaire was used to collect the data. And the data were entered and the descriptive data were analyzed using Epi-info version 7 and SPSS version 20 respectively. Structural equation modeling, using AMOS 22, was also used to measure and clarify the degree of relationships between variables. RESULTS The findings of the structural equation modeling (SEM) indicates that perceived usefulness has significance influence on attitude (β =0.29, P<0.01) and intention to use e-health (β =0.38, P<0.01); technical infrastructure has significance influence on attitude (β =0.41, P<0.01) and intention to use e-health (β =0.34, P<0.01); staffs IT experience has significance influence on attitude (β =0.26, P<0.05); security concerns of a system has significance influence on attitude (β =0.34, P<0.05) and intention to use e-health (β =0.33, P<0.01); and attitude has also significance influence on intention to use e-health (β =0.52, P<0.01), respectively. CONCLUSIONS Electronic health system implementers and executives in resource limited settings are in urgent need of adoption models to design proper implementation strategies. The constructs; perceived usefulness, technical infrastructure, staffs IT experience, security concerns and attitude portrayed in the revised TAM model were found with a strong positive relationship with the dependent variable, intention to use e-health. Therefore, the implementers should give a priority in enhancing technical infrastructures of the organizations, staffs IT skill, and their attitude towards e-health by giving continuous support.

A comprehensive acceptance model for smart home services

2022 ◽  
Vol 6 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Amer Al-Husamiyah ◽  
Mahmood Al-Bashayreh
Keyword(s):  
Technology Acceptance ◽  
Smart Home ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.

Determinants of intention to use Islamic banking

2019 ◽  
Vol 13 (1) ◽  
pp. 147-163 ◽  
Author(s):  
Samia Ayyub ◽  
Wang Xuhui ◽  
Muhammad Asif ◽  
Rana Muhammad Ayyub
Keyword(s):  
Consumer Behavior ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Practical Significance ◽  
Equation Modeling ◽  
Islamic Banking ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

Purpose This paper aims to explore the determinants of intention to use Islamic banking and compare the consumer behavior of users and non-users of Islamic banking. This study incorporates the theory of planned behavior in Islamic banking perspective with an additional construct from technology acceptance model. Design/methodology/approach The research is quantitative in nature, and survey questionnaire was used to get data from four cities of Pakistan. The study manages to get 300 questionnaires from which only 264 were usable for analysis. The structural equation modeling was used for testing the hypotheses. Findings The result shows that perceived behavior control and perceived usefulness are the most significant predictors of intention to use of Islamic banking among users and non-users. Attitude turns out to be a non-significant factor for non-users of Islamic banking. Subjective norm is also found to be non-significant with intention to use Islamic banking in both groups. Originality/value This study has theoretical as well as practical significance in the subject of consumer behavior in Islamic banking. Theoretically, it attempts to fill the gap caused by the scarcity of research in exploring the consumer behavior towards Islamic banking in Pakistan. This study provides insights into the consumer behavior of users and non-users of Islamic banking and thus presents a comparison. Practically, this study provides guidelines for Islamic banks in introduction, propagation and promotion of Islamic banking products and services to establish Islamic banking as a social norm.

Consumer acceptance of smart speakers: a mixed methods approach

2018 ◽  
Vol 12 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Pascal Kowalczuk
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.

scholarly journals Factors Affecting Sustainable Intention to Use Mobile Banking Services

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110299
Author(s):  
Phaninee Naruetharadhol ◽  
Chavis Ketkaew ◽  
Niracha Hongkanchanapong ◽  
Piranat Thaniswannasri ◽  
Techin Uengkusolmongkol ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Mobile Banking ◽  
Banking Services ◽  
Factors Affecting ◽  
Self Service ◽  
Acceptance Model ◽  
Self Service Technology

This study aims to (a) identify perception factors that affect current mobile banking (M-banking) consumers’ continuous use of the technology, (b) explain the self-service technology (STT) dimensions that affect customers’ behavioral intention, and (c) be able to offer recommendations to the banking industry or other organizations related to M-banking in terms of developing M-banking services in the future. Analyzed data were collected from 688 existing Thai M-banking users through online questionnaires. This study used the SPSS and AMOS statistical programs to analyze the data by applying structural equation modeling based on SSTs’ service qualities and the technology acceptance model (TAM). From the results, this analysis shows positive and significant relationships among SSTs’ service qualities, perception, and sustainable intention to use M-banking services. This study provides vital knowledge related to essential characteristics of M-banking as an STT that could assist banking institutions and application providers in enhancing their M-banking products. Moreover, this study adds to the knowledge area of SSTs’ service qualities in financial mobile application dimensions.

scholarly journals Students’ intention to use high-immersion virtual reality systems for learning paragraph structure: a PLS-SEM exploratory study

2020 ◽  
pp. 291-297
Author(s):  
Ethan Douglas Quaid ◽  
Austin Pack ◽  
Alex James Barrett ◽  
Litong Zhou
Keyword(s):  
Virtual Reality ◽  
Technology Acceptance ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Short Paper ◽  
Intention To Use ◽  
Antecedent Conditions ◽  
Acceptance Model

This short paper reports the findings of a study exploring English for Academic Purposes (EAP) students’ behavioral intention to use a high-immersion Virtual Reality (VR) system for learning paragraph structure. The study measured relationships between variables that may lead to learners’ intention to use the high-immersion VR Reality system through leveraging a hypothesized theoretical framework based upon a widely used technology acceptance model. Quantitative data were collected from 134 Sino-British English as a medium of instruction by university undergraduate students enrolled in EAP classes by means of a post-participation questionnaire. A Partial Least Squares - Structural Equation Modeling (PLS-SEM) exploratory analysis was executed. Results suggested that students’ intention to use the high-immersion VR learning environment was primarily determined by its usefulness for learning and not how easy it was to use. Furthermore, the degree to which the learners felt confident in their ability to operate the system had a large impact on how easy they perceived it was to use. And finally, the antecedent conditions of learners had little impact on the students’ perceived usefulness of the VR system.

scholarly journals Factors affecting green food purchase intention in Ho Chi Minh city

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Nguyen Thi Thanh Van ◽  
Nguyen Thien Duy ◽  
Pham Tien Dung
Keyword(s):  
Technology Acceptance ◽  
Purchase Intention ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Ho Chi Minh City ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Food Purchase ◽  
Green Food ◽  
Acceptance Model

This study adopts Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM) to measure factors affecting green food purchase intention in Ho Chi Minh city (HCMC). The survey data was collected from 197 students during the period of 1st to 20th September, 2017. Testing the conceptual model by Structural Equation Modeling (SEM), we find that perceived usefulness of green food and perceived ease of purchase impact on attitudes towards green food purchase. We also find that subjective norm, perceived usefulness of green food, attitudes towards green food purchase are positively associated with green food purchase intention. From the research findings, some recommendations are proposed accordingly.

scholarly journals Platform Adoption Factors in the Internet Industry

2018 ◽  
Vol 10 (9) ◽  
pp. 3185 ◽  
Author(s):  
Junic Kim
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Positive Effects ◽  
Internet Industry ◽  
Acceptance Model

This study examines the factors influencing the choices of Internet platform services by applying the technology acceptance model. For this purpose, the analysis is conducted with 222 people who use different types of Internet platforms by utilizing structural equation modeling. The results show that perceived usefulness had positive effects on the intention to use, perceived ease of use, diversity, and security risks affected by the perceived usefulness, and the indirect influences on the intention to use. In addition, satisfaction (in relation to service quality) was found to affect both perceived ease of use and perceived usefulness. This research is significant because it will make it possible to predict users’ perceptions of Internet platforms, which is important for establishing relevant strategies.

scholarly journals Penerimaan mahasiswa terhadap pembelajaran daring selama pandemi Covid-19 dengan pendekatan Technology Acceptance Model

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Nur Latifah ◽  
Sulis Rokhmawanto ◽  
Purwanto Purwanto ◽  
Laili Syarifah
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Test Results ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Pandemi Covid-19 memberikan perubahan dalam proses pembelajaran di lembaga pendidikan termasuk pada pendidikan tinggi. Perubahan tersebut dapat dilihat dari pelaksanaan pembelajaran dalam satu tahun terakhir yang harus dilaksanakan secara daring. Pembelajaran daring dilaksanakan guna mendukung kebijakan pemerintah berupa Pembatasan Berskala Besar (PSBB). Para dosen telah berupaya melaksanakan pembelajaran daring dengan menggunakan berbagai aplikasi yang telah tersedia seperti zoom meeting, google meet, quiz dan aplikasi lainnya. Penelitian ini bertujuan untuk membuktikan secara empiris terkait intention to use dalam pembelajaran daring dengan attitude sebagai variabel mediasi. Data penelitian sebanyak 297 yang dikumpulkan secara daring. Responden penelitian merupakan mahasiswa aktif di berbagai perguruan tinggi yang ada di Kabupaten Magelang. Data penelitian dianalisis structural equation modeling dengan menggunakan software Smart PLS. Hasil pengujian membuktikan bahwa pedagogic competence, perceived ease of use dan perceived usefulness dapat mempengaruhi attitude. Hasil pengujian lainnya membuktikan perceived usefulness dan attitude berpengaruh terhadap intention to use, namun pedagogic competence tidak terbukti. Hasil pengujian pengaruh tidak langsung dapat diketahui bahwa attitude dapat memediasi hubungan antara pedagogic competence, perceived ease of use dan perceived usefulness terhadap intention to use.Student acceptance of online learning during the Covid-19 pandemic with the Technology Acceptance Model approach AbstractCovid-19 pandemic provided a change in the learning process in educational institutions included in higher education. These changes could be seen from the implementation of learning in the past year which should be implemented online. Online learning was be implemented to support government policies in the form of Large-Scale Restrictions (PSBB). The lecturers had made efforts to implement online learning by using various available applications such as zoom meetings, google meet, quizzes, and other applications. This study aims to prove empirically the intention to use online learning with attitude as a mediating variable. The research data were 297 collected online. Research respondents were active students in various universities in Magelang Regency. The research data were analyzed structural equation modeling using Smart PLS software. The test results prove that pedagogic competence, perceived ease of use, and perceived usefulness could affect attitude. Other test results prove that perceived usefulness and attitude had an effect on the intention to use, but pedagogic competence is not proven. The results of the indirect effect test show that attitude can mediate the relationship between pedagogic competence, perceived ease of use, and perceived usefulness for intention to use.

scholarly journals An Internet Survey with the Technology Acceptance Model for Deploying Masks in Combatting COVID-19: Structural Equation Modeling Analysis of My Health Bank in Taiwan (Preprint)

2021 ◽  
Author(s):  
Wen-Hsun Tsai ◽  
Chi-Ming Chu ◽  
Yi-Syuan Wu ◽  
Chia-Shiang Cheng ◽  
Ming-Hao Kuo ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Privacy And Security ◽  
Factors Affecting ◽  
Acceptance Model

BACKGROUND In the medical industry, the successful completion of many medical practices often relies on information collection and analysis. Government agencies and medical institutions encourage people to use medical information technology (MIT) to manage their conditions and to promote personal health. In 2014, Taiwan established the first electronic personal health record (PHR) platform, My Health Bank (MHB), allowing people to access and manage their PHRs at any time. Facing the coronavirus disease 2019 (COVID-19) pandemic in 2020, Taiwan has used MIT to effectively prevent the spread of COVID-19 and completed various prevention measures before the outbreak. Using MHB to purchase masks in an efficient and orderly way and thoroughly implement personal protection efforts is highly important. OBJECTIVE (1) To understand the people’s intention to use the electronic PHR platform MHB. (2) To investigate the factors affecting people’s intention to use MHB. METHODS From March 31, 2014 to April 9, 2014, in a promotion via email and Facebook, subjects were asked to fill out the structured questionnaire after watching an introductory video about MHB on YouTube. The questionnaire included seven dimensions: Perceived usefulness, Perceived ease of use, Health literacy, Privacy and security, Computer self-efficacy, Attitude toward use, and Behavioral intention to use. Each question was measured on a 5-point Likert scale from “strongly disagree” (1 point) to “strongly agree” (5 points). Descriptive statistics and structural equation analysis were performed using IBM SPSS Statistics 21 and AMOS 21. RESULTS This study collected 350 valid questionnaires (female: 219/350, 62.6%; age: 21-30 years: 238/350, 68.0%; education level: university: 228/350, 65.1%; occupation: student: 195/350, 56.6; average monthly income: < NT $30,000: 230/350, 65.7%; residence: northern Taiwan: 236/350, 67.4%; and perceived health status: good: 171/350, 48.9%). Four indicators, i.e., chi-squared value/degree of freedom (X2/df) (2.63), goodness-of-fit index (GFI) (0.85), adjusted goodness-of-fit index (AGFI) (0.81), and root mean square error of approximation (RMSEA) (0.07), were calculated. The results showed that the overall fit and fitness of the model were good. Further analysis indicated that the most important factor affecting the behavioral intention to use was the attitude toward use (0.78), followed by perceived ease of use (0.65), perceived usefulness (0.41), health literacy (0.10), and privacy and security (0.07). CONCLUSIONS From the perspective of the populace, this study explored the factors affecting the use of MHB and constructed an interpretation model with a strong goodness of fit. The results of our analysis are consistent with the technology acceptance model. Through the diverse value-added services of MHB, Taiwan's experience in pandemic prevention with smart technology can be helpful for facing future threats of unknown, emerging infectious diseases.

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

Sign in / Sign up

Export Citation Format

Share Document