Factors Determining Nurses Hospital Information System Usage

This study employs the combined technology acceptance model (TAM) and theory of planned behavior (TPB) (i.e., C-TAM-TPB) that extended with self-efficacy and knowledge of information technology to examine HIS acceptance by Malaysian nurses. A cross-sectional survey was conducted in three public hospitals in Malaysia to gather data from practicing nurses with experience of using HIS. Structural equation modeling using the partial least squares (PLS) method was utilized to evaluate measurements and structural models. The results stress that a nurses intention was significantly influenced by three factors, including his or her attitude, the subjective norm, and perceived behavioral control. The results also indicate that the model can explain over half of the variance in the intention to use HIS.

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An Empirical Study of Renewable Energy Technology Acceptance in Ghana Using an Extended Technology Acceptance Model

Sustainability ◽

10.3390/su131910791 ◽

2021 ◽

Vol 13 (19) ◽

pp. 10791

Author(s):

Li Yang ◽

Sumaiya Bashiru Danwana ◽

Issahaku Fadilul-lah Yassaanah

Keyword(s):

Renewable Energy ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Focal Point ◽

Equation Modeling ◽

Intention To Use ◽

Cross Sectional Survey ◽

Rapid Urbanization ◽

Acceptance Model

Energy consumption, and its impact on the environment, has become an increased focal point in Ghana, a sub-Saharan African country, following population growth and rapid urbanization. Ghana has high potential for renewable energy generation; nevertheless, low acceptance and usage have been found. An extensive study is required to understand the causes driving poor acceptability and the intentions to use renewable energy. This study aims to empirically investigate the acceptance of renewable energy using an extended technology acceptance model (TAM). A cross-sectional survey was conducted, from 1 February 2021 to 30 June 2021, using a self-administered questionnaire. The survey was carried out on Ghanaian adults of the age 18 years and above. Data was collected from 1068 respondents from Ghana’s northern and southern parts and analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS software. The results of the data analysis reveal that environmental awareness is the biggest predictor of the intention to use renewable energy in Ghana. Perceived affordability was also found to be the most significant predictor of attitudes towards the use of renewable energy in Ghana. The findings of this research will give policymakers, manufacturers, and the providers of renewable energy appliances a better understanding of the factors that determine the intention to use renewable energy.

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Understanding the perception towards using mHealth applications in practice

Information Development ◽

10.1177/0266666916684180 ◽

2016 ◽

Vol 34 (2) ◽

pp. 182-200 ◽

Cited By ~ 22

Author(s):

Emre Sezgin ◽

Sevgi Özkan-Yildirim ◽

Soner Yildirim

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Influential Factors ◽

Equation Modeling ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Online Tools ◽

Mobile Health Applications ◽

Acceptance Model ◽

Training And Support

The objective of this study was to investigate physicians’ perceptions to use mobile health applications in practice, and to identify influencing factors to use the technology. An mHealth technology acceptance model was proposed (M-TAM), and a cross-sectional survey was implemented using structured questionnaire to collect data. Online tools were used for inviting participants (physicians) and data collection from Turkey. The data was analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). A total of 128 physicians participated in the survey. The model explained the perception of physicians towards mHealth application use by 51% of total variance. The influential factors were identified as Effort Expectancy, Mobile Anxiety, Perceived Service Availability and Technical Training and Support. The study provided a new model to the literature of health information technology. Findings of the research contributed by unveiling latent constructs and their influence on physicians’ perceptions towards a new healthcare technology: mHealth applications.

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What factors predict physicians' utilization behavior of contrast-enhanced ultrasound? Evidence from the integration of the Theory of Planned Behavior and Technology Acceptance Model using a structural equation modeling approach

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-021-01540-8 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Qingwen Deng ◽

Yuhang Zheng ◽

Junhong Lu ◽

Zhichao Zeng ◽

Wenbin Liu

Keyword(s):

Liver Cancer ◽

Technology Acceptance ◽

Structural Equation ◽

Behavioral Control ◽

Equation Modeling ◽

Perceived Behavioral Control ◽

Utilization Behavior ◽

Contrast Enhanced ◽

The Mean ◽

Acceptance Model

Abstract Background The promotion of early diagnosis is undoubtedly effective in reducing the burden of disease. Contrast-enhanced ultrasound (CEUS) is a diagnostic technology for liver cancer, but its implementation faces some challenges. Understanding the influencing factors of CEUS utilization is crucial for its successful implementation. However, such research is rare. The aims of this study were to investigate the status of CEUS utilization and its predictors in China. Methods Through multistage random sampling, a cross-sectional study design was conducted among physicians in charge of direct use of CEUS working at liver disease-related departments of sampled health institutions. To access the potential influencing factors of physicians' CEUS utilization, a structured questionnaire was developed based on the theoretical model, which was developed by integration of the Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM). Structural equation modeling was used to verify the proposed hypotheses, and analyze the relationship and mechanism between the factors. Results A total of 309 physicians were enrolled. The mean score of utilization behavior was 2.04 (SD = 1.07), and 37.22% above the mean. The favorable fitting results demonstrated that the integration of TAM and TPB was an acceptable model. SEM results also identified physicians’ intentions to use CEUS was directly associated with utilization behavior (β = 0.287, P < 0.001). Attitude (β = 0.272, P < 0.001), subjective norm (β = 0.172, P = 0.013), perceived behavioral control (β = 0.491, P < 0.001) and perceived usefulness (β = 0.108, P = 0.027) significantly influenced physicians’ intentions. Besides, subjective norm (β = 0.065, P = 0.021), perceived behavioral control (β = 0.141, P = 0.003), and perceived ease of use (β = 0.022, P = 0.033) indirectly affected physicians’ CEUS utilization. Conclusions The findings provide a reference for understanding the factors associated with physicians' utilization of CEUS. Additionally, the proposed measures such as building innovative and incentive environment, providing high quality and adequate training, etc., will help promote the utilization of CEUS, thereby increasing the detection rate of liver cancer, and improving the survival rate and the quality of life for liver cancer patients.

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Application Of Technology Acceptance Model Of Unified Payment Interface Services Adoption In Mysuru City: An Exploratory Study

Restaurant Business ◽

10.26643/rb.v118i6.7235 ◽

2019 ◽

Vol 118 (6) ◽

pp. 25-35

Author(s):

Vinay S

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Banking Sector ◽

Primary Data ◽

Equation Modeling ◽

Security Issues ◽

Acceptance Model ◽

Structured Questionnaire

Continuous development of technological innovations especially in the banking sector have stirred competition which has changed the way businesses operate resulting in the introduction of Unified Interface Payment (UPI) services. This study was conducted in order to analyse the adoption of UPI services through Technology Acceptance Model (TAM) in Mysuru. Objectives of study were framed to determine the demographic factors that influence the practices of UPI by the customers, to examine the role of banks in integrating UPI services and products and to assess the various security issues affecting the usage of UPI services by Mysuru customers. Based on these objectives a structured questionnaire was prepared and primary data was collected from 165 respondents. Data was analysed making use of SPSS and other models namely Structural Equation Modeling with Analysis of Moment Structures (AMOS) Software. Finally the researchers identifies that there is a need for convergence of customer’s preference for safe and easy banking transactions. This study revealed that the customer’s model have to be well integrated for progress in UPI operations.

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Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

International Journal of New Media Technology ◽

10.31937/ijnmt.v4i2.783 ◽

2017 ◽

Vol 4 (2) ◽

pp. 75-81 ◽

Cited By ~ 1

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

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Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior

Precision Agriculture ◽

10.1007/s11119-021-09814-x ◽

2021 ◽

Author(s):

Svenja Mohr ◽

Rainer Kühl

Keyword(s):

Artificial Intelligence ◽

Theory Of Planned Behavior ◽

Technology Acceptance ◽

Planned Behavior ◽

Technology Acceptance Model ◽

Structural Equation ◽

Perceived Behavioral Control ◽

Labor Costs ◽

Online Questionnaire ◽

Acceptance Model

AbstractThe use of Artificial Intelligence (AI) in agriculture is expected to yield advantages such as savings in production resources, labor costs, and working hours as well as a reduction in soil compaction. However, the economic and ecological benefits of AI systems for agriculture can only be realized if farmers are willing to use them. This study applies the technology acceptance model (TAM) of Davis (1989) and the theory of planned behavior (TPB) of Ajzen (1991) to investigate which behavioral factors are influencing the acceptance of AI in agriculture. The composite model is extended by two additional factors, expectation of property rights over business data and personal innovativeness. A structural equation analysis is used to determine the importance of factors influencing the acceptance of AI systems in agriculture. For this purpose, 84 farmers were surveyed with a letter or an online questionnaire. Results show that the perceived behavioral control has the greatest influence on acceptance, followed by farmers’ personal attitude towards AI systems in agriculture. The modelled relationships explain 59% of the total variance in acceptance. Several options and implications on how to increase the acceptance of AI systems in agriculture are discussed.

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

JURNAL ILMU MANAJEMEN DAN BISNIS ◽

10.17509/jimb.v10i1.15371 ◽

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)

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Predictive factors of physicians’ satisfaction with telemedicine services acceptance

Health Informatics Journal ◽

10.1177/1460458219892162 ◽

2019 ◽

Vol 26 (3) ◽

pp. 1866-1880 ◽

Cited By ~ 9

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.

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Comparing Technology Acceptance for Autonomous Vehicles, Battery Electric Vehicles, and Car Sharing—A Study across Europe, China, and North America

Sustainability ◽

10.3390/su11164333 ◽

2019 ◽

Vol 11 (16) ◽

pp. 4333 ◽

Cited By ~ 2

Author(s):

Julian M. Müller

Keyword(s):

North America ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Combustion Engine ◽

Autonomous Driving ◽

Equation Modeling ◽

Car Sharing ◽

Societal Norms ◽

Acceptance Model

The automotive industry today faces three major transitions: the emergence of autonomous driving, electric powertrain replacing the internal combustion engine, and changes in possession of automobiles, e.g., increased usage of car sharing. As all three transitions are fostered by technologies that drive digital transformation of automobiles, the Technology Acceptance Model (TAM) by Davis represents the underlying research model of this paper. Hypotheses are developed and tested for a sample of 1177 participants using Partial Least Squares Structural Equation Modeling (PLS-SEM). Group differences are investigated for three markets: Europe, North America, and China. The paper confirms the underlying assumptions of the Technology Acceptance Model in the context of automobiles. Further, it illustrates influential societal norms and individual experiences for technology acceptance. In addition, compound effects for technology acceptance are found, e.g., the perceived enjoyment of electric driving affects the acceptance of autonomous driving and car possession behavior. The novel approach to integrate three different technologies within the Technology Acceptance Model requires unifying items to a level which makes them comparable, limiting the results for each individual technology. For practice, automotive manufacturers obtain advice on how to foster technology acceptance. For society, the paper uncovers the role of societal norms for technology acceptance in the context of automobiles. Policy makers can obtain insights on how to successfully increase technology acceptance, e.g., for environmental purposes. Conclusively, the paper applies the Technology Acceptance Model for three developments in the context of automobiles, thereby extending current research using the Technology Acceptance Model.

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