scholarly journals Integrative Factors of E-Health Laboratory Adoption: A Case of Indonesia

2021 ◽  
Vol 13 (2) ◽  
pp. 26
Author(s):  
Dwiza Riana ◽  
Achmad Nizar Hidayanto ◽  
Sri Hadianti ◽  
Darmawan Napitupulu
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Digital Health ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Laboratory System ◽  
Perceived Ease Of Use ◽  
Personal Innovativeness ◽  
Task Technology Fit

Around the world, the adoption of digital health applications is growing very fast. The use of e-health laboratory systems is increasing while research on the factors that impact users to use e-health laboratory systems in Indonesia has not been done much. The objective of this study is to analyze the behavioral factors of e-health laboratory users. This study includes a survey conducted on Indonesian users, and data analysis was carried out thoroughly. Based on the Technology Acceptance Model, this research framework explores a combination of variables consisting of task-driven, technology-driven, human-driven, and adoption variables to form the model proposed in this study. This model was verified using the Structural Equation Modeling (SEM) method for factor analysis, path analysis, and regression. A total of 163 respondents were collected to evaluate this research model empirically and the level of this study were individuals. These three problems are all essential in affecting usage intentions in adopting an e-health laboratory system. Specifically, task technology fit, information quality, and accessibility show a direct effect on both perceived usefulness and perceived ease of use factors perceived by the user, and have an indirect influence on the adoption of an e-health laboratory system through these two factors. The design of an online laboratory system affects perceived ease of use and personal innovativeness factors affect the perceived usefulness that users feel when adopting a laboratory system, while task technology fit and personal innovativeness factors do not affect the perceived ease of use. However, overall technology characteristic and perceived usefulness followed by design are the main predictors of adopting an e-health laboratory system on e-health systems in Indonesia.

scholarly journals Mobile Applications in Tourism

2022 ◽  
Vol 18 (1) ◽  
pp. 0-0
Keyword(s):  
Technology Acceptance ◽  
Mobile Applications ◽  
Structural Equation ◽  
Mobile App ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Personal Innovativeness

Based on an extended version of the Technology Acceptance Model (TAM), this study aims to understand the intention to use tourism mobile applications. WOM about app and personal innovativeness was added to the original model along with perceived usefulness, perceived ease of use and attitude. A questionnaire was distributed through the convenience sampling method and 440 valid respondents were retained and analysed using Structural Equation Modeling (SEM). The results of this study show that WOM about app represents the strongest predictor of the intention to use of tourism mobile applications followed respectively by perceived usefulness, attitude toward using tourism mobile applications and personal innovativeness. The findings provide implications that would benefit managers in the hospitality and tourism sector as well as mobile app developers in order to ensure the effectiveness of their marketing and communication strategies and adapt their activities to the needs of a customer of the digital age.

Determinants of Self-Service Analytics Adoption Intention

2019 ◽  
Vol 31 (4) ◽  
pp. 19-45 ◽  
Author(s):  
Mohammad Daradkeh
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Intention To Adopt ◽  
User Empowerment ◽  
Task Technology Fit ◽  
Self Service

The increasing popularity of self-service analytics (SSA) is empowering business users to analyze data and generate actionable insights autonomously. While there are many benefits to SSA tools, there is a scarcity of research on the factors influencing their adoption in business organizations. This article presents an extended technology acceptance model (TAM) that incorporates the task-technology fit (TTF), compatibility, and user empowerment as critical antecedents of users' intention to adopt SSA tools for reporting and analytics tasks. To test the proposed model, data were collected through a questionnaire survey of 211 business users working in different industries in Jordan. The collected data were analysed using structural equation modeling (SEM). The results of this study demonstrate that the task-technology fit, compatibility, and user empowerment are significant predictors of users' perceptions of usefulness and ease of use of SSA tools. Both of perceived usefulness and perceived ease of use have a positive effect on users' intention to adopt SSA tools. Collectively, all these factors account for 51.6 percent of the variance in the behavioral intention. The findings of this study provide several key implications for research and practice, and thus should contribute to the design and adoption of more user-accepted SSA tools and applications.

scholarly journals A Framework of Mobile Banking Adoption in India

2020 ◽  
Vol 6 (2) ◽  
pp. 40
Author(s):  
Ashish Kumar ◽  
Sanjay Dhingra ◽  
Vikas Batra ◽  
Harish Purohit
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mobile Banking ◽  
Perceived Ease Of Use ◽  
Personal Innovativeness ◽  
Acceptance Model ◽  
Adoption Intention

Mobile banking is now an important and evolving medium for executing banking transactions. It has a huge potential in a developing country such as India. Our study explores the important antecedents of the mobile banking adoption intention of Indian customers and proposes a comprehensive framework by extending the traditional technology acceptance model (TAM). Along with the two constructs provided by TAM, four customer-oriented constructs have also been measured for this purpose. The conceptual model has been verified empirically, with the data mobilized with the help of a survey from 203 future mobile banking service users. The structural equation modeling (SEM) technique has been undertaken to establish the effect of the antecedents on mobile banking adoption intention. The results demonstrate that, together with the constructs of TAM, viz. perceived usefulness and perceived ease of use, as well as all other relevant behavioral factors, namely subjective norms, personal innovativeness, trust, and self-efficacy have exerted a statistically significant positive effect on the mobile banking adoption intention of customers. The study provides an empirical foundation, which can be useful to banking and mobile services by helping companies to formulate their marketing strategies.

What influence users’ e-finance continuance intention? The moderating role of trust

2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Website Quality ◽  
Content Type ◽  
Positive Effects

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

scholarly journals Analisis Penggunaan E-Commerce Terhadap Peningkatan Permintaan Kuantitas Produk Pada UMKM di Kabupaten Banyumas (Suatu Pendekatan Teori Technology Acceptance Model)

2019 ◽  
Vol 10 (1) ◽  
pp. 63-74
Author(s):  
Dona Primasari ◽  
Sudjono Sudjono ◽  
Nining Abriani
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Sampling Technique ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Use Behavior

Abstract. The long-term objective of this research is to enrich the development of science, especially the development of SMEs related to the adoption of information technology with studies using the Technology Acceptance Model. The specific aim of the research is to examine what factors are inhibiting the adoption of e commerce technology in SMEs in Banyumas Regency, as well as examining whether e-commerce adoption has an impact on increasing the demand for product quantities in SMEs. Collecting data in this study was carried out by distributing questionnaires through direct interviews with SMEs in Banyumas District who were respondents. The sampling technique in this study using random sampling technique. Whereas for data analysis using Statistical Product and Service Solution (SPSS) version 22.0 and Structural Equation Modeling (SEM) with AMOS program. The results of the study show that the Technology Acceptance Model theory is able to explain the institutions of SMEs actors to use e-commerce technology. Keywords: E-commerce, perceived usefulness, perceived ease of use, use behavior,TAM (Technology Acceptance Model) Abstrak. Tujuan jangka panjang penelitian ini adalah untuk memperkaya perkembangan ilmu, khususnya pengembangan UMKM terkait dengan adopsi teknologi informasi dengan kajian menggunakan Technology Acceptance Model.  Tujuan khusus penelitian adalah untuk menelaah faktor-faktor apakah yang menghambat adopsi teknologi e commerce pada UMKM di Kabupaten Banyumas, serta menelaah apakah adopsi e- commerce berdampak pada peningkatan permintaaan kuantitas produk pada UKM. Pengumpulan data dalam penelitian ini dilakukan dengan menyebarkan kuesioner melalui antar langsung kepada pelaku UMKM di Kabupaten Banyumas yang menjadi responden.  Teknik pengambilan sampel dalam penelitian ini dengan menggunakan teknik random sampling. Sedangkan untuk analisis data mengunakan Statistical Product and Service Solution (SPSS) versi 22.0 dan Structural Equation Modeling (SEM) dengan program AMOS. Hasil penelitian menunjukkan bahwa teori Technology Acceptance Model  mampu menjelaskan instensi para pelaku UMKM untuk menggunakan teknologi e-commerce.  Hasil penelitian juga berhasil menerima 3 (tiga) hipotesis yaitu Perceived usefulnes  berpengaruh terhadap use behavior, Perceived ease of use berpengaruh terhadap use behavior, use behavior  berpengaruh terhadap peningkatan permintaan kuantitas produk.  Hasil penelitian juga menunjukkan implementasi e-commerce tidak berpengaruh terhadap persepsi manfaat (perceived usefulness), Implementasi e-commerce tidak berpengaruh terhadap persepsi kemudahan pengoperasian sistem  (perceived ease of use) atau dengan kata lain menolak 2 (dua) hipotesis lainnya.Keywords. E-commerce, perceived usefulnes, perceived ease of use, use behavior,peningkatan permintaan, TAM  (Technology Acceptance Model)

scholarly journals THE INFLUENCE OF E-LEARNING CHARACTERISTICS AND BASIC ICT COMPETENCIES TO ACTUAL USAGE OF E-LEARNING: A PATH DIAGRAM MODEL

2015 ◽  
Vol 11 (2) ◽  
pp. 59
Author(s):  
I Made Suarta ◽  
I Ketut Suwintana
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Actual Usage ◽  
E Learning ◽  
Ict Competencies

In this paper, the Technology Acceptance Model (TAM) is extent with two external stimulus namely e-learning characteristics and basic ICT (Information and Communication Technology) competencies. The purpose of this study are (1) finding relationship between e-learning characteristics and lecturers’ basic ICT competencies with the perceived ease of use and perceived usefulness of e-learning; and (2) determining the effect of e-learning characteristics and lecturer basic ICT competencies to the actual usage of e-learning. Research subjects are Bali State Polytechnic lecturers who have attended the elearning training. In this study, to collect the data sample, a non-random sampling technique is adopted. The data is collected by self-administered questionnaires and is analyzed using structural equation modeling. Basic ICT competencies of the Bali State Polytechnic lecturers are good, but the level of actual usage of e-learning is very low. Basic ICT competence shows no significant effect on the perceived ease of use and perceived usefulness of e-learning. The actual usage of e-learning also has low implications. E-learning characteristics show a significant effect on perceived ease of use and perceived usefulness of e-learning, which implies the change attitude and behavior in the use of elearning. Characteristics of e-learning become a determinant factor in the adoption and use of elearning. The findings will help lecturer a better understanding to the mechanism of e-learning adoption. The study recommends for polytechnic institutions to make a systematic effort to provide lecturers with training on how to use e-learning system effectively. A further research to identify other factors that may influence lecturers' attitudes toward the adoption of e-learning system is demanded following this research.

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.

scholarly journals Predictive factors of physicians’ satisfaction with telemedicine services acceptance

2019 ◽  
Vol 26 (3) ◽  
pp. 1866-1880 ◽  
Author(s):  
Jonathan Kissi ◽  
Baozhen Dai ◽  
Courage SK Dogbe ◽  
Jonathan Banahene ◽  
Oyeh Ernest
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Predictive Factors ◽  
Structural Equation ◽  
Care Delivery ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Despite the significant increase in telemedicine services technology, its adoption and use have been quite slow in some healthcare settings. It is generally accepted in today’s globalizing world that the success of telemedicine services relies on users’ satisfaction. Satisfying physicians and patients is one of the crucial objectives of telemedicine success. This study seeks to evaluate physicians’ satisfaction with telemedicine services adoption and utilization using the technology acceptance model. A structured questionnaire based on the construct of technology acceptance model was used to solicit for data from participants in four different government health institutions. Purposive and convenience sampling techniques were employed to select healthcare professionals from various medical fields. Structural equation modeling was utilized in the data analysis. Perceived ease of use and perceived usefulness of telemedicine services were found to influence physicians’ behavioral intentions. This resulted in increased efficiency, quality of services, quality patient care delivery, and satisfaction among physicians in using telemedicine services. We noted that the adoption of telemedicine services in clinical settings depends on physicians’ and patients’ satisfaction with the use of the service. The study contributes to empirical knowledge by identifying the vital predictive factors affecting telemedicine services satisfaction among physicians.

Factors influencing the behavioral intention to use food delivery apps

2017 ◽  
Vol 45 (9) ◽  
pp. 1461-1473 ◽  
Author(s):  
Eun-Yong Lee ◽  
Soo-Bum Lee ◽  
Yu Jung Jennifer Jeon
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Mobile Apps ◽  
Food Delivery ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Design Quality

We examined the relationships between the determinants that affect customers' use of food delivery apps. Using an extended technology acceptance model, we explored consumers' experiences in purchasing delivery food through mobile apps. We distributed a self-administered questionnaire online and used structural equation modeling to test the hypotheses. We found that user-generated information, firm-generated information, and system quality had a significant effect on perceived usefulness. In addition, system quality and design quality strongly influenced the perceived ease of use, which improved perceived usefulness, and in turn, perceived usefulness and perceived ease of use affected attitude toward the use of mobile apps. Practical implications for the food service industry are discussed.

scholarly journals ANALISIS TECHNOLOGY ACCEPTANCE MODEL APLIKASI LINKAJA

2020 ◽  
Vol 13 (3) ◽  
pp. 164
Author(s):  
Anggit Esti Irawati ◽  
Ehrmann Suhartono
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Actual Use ◽  
Acceptance Model

<p>Potensi penggunaan e-money sangat besar dan menarik perhatian sebagai cara pembayaran alternatif di seluruh dunia. Pemerintah melalui Bank Indonesia menggerakkan masyarakat untuk melakukan Gerakan Nasional Non Tunai (GNNT). Namun, hanya lapisan masyarakat tertentu yang sudah terbiasa menggunakan transaksi dengan <em>e-money</em>. Sebagian masyarakat beranggapan bahwa transaksi pembayaran menggunakan <em>e-money</em> masih terdapat banyak kekurangan. Penelitian ini bertujuan untuk menguji <em>Technology Acceptance Model</em> (TAM) yaitu <em>perceived ease of use</em> dan <em>perceived usefulness</em>, selain itu juga menambahkan <em>perceived risk</em> untuk mengetahui pengaruh terhadap <em>attitude toward using</em> dan <em>actual use</em> terhadap penggunaan aplikasi LinkAja. Metode analisis menggunakan <em>Structural Equation Modeling</em> (SEM) dengan alat analisis SmartPLS. Penelitian ini dilakukan dengan metode survei dan sampel diambil menggunakan teknik <em>purposive sampling</em> terhadap responden yang menggunakan aplikasi LinkAja di seluruh Indonesia. Responden yang diperoleh sebanyak 200 responden. Hasil penelitian menunjukkan bahwa <em>perceived ease of use</em> dan <em>perceived usefulness</em> berpengaruh positif signifikan terhadap <em>attitude toward using</em> dan <em>actual use</em>. <em>Perceived risk</em> tidak berpengaruh signifikan terhadap <em>actual use</em> aplikasi LinkAja.</p>

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