Testing the Technology Readiness and Acceptance Model for Mobile Payments Across Germany and South Africa

The acceptance of mobile payments has been limited. This paper, therefore, attempts to investigate the determinants of mobile payment adoption. To this end, it examines the relationships between the personality trait dimensions of the Technology Readiness Index 2.0 and the system-specific dimensions of the Technology Acceptance Model in Germany and South Africa. The model was tested using structural equation modeling. Results show that some, but not all, of the Technology Readiness Index 2.0 variables had a significant influence on the dimensions of the Technology Acceptance Model. Perceived Usefulness was the strongest predictor of the intention to use mobile payments. The factor “country” did not moderate the structural relationships.

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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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Implementasi Technology Acceptance Model terhadap Adopsi Teknologi Artificial Intelligence pada Startup Digital

JURNAL MANAJEMEN DAN KEWIRAUSAHAAN ◽

10.26905/jmdk.v9i2.6516 ◽

2021 ◽

Vol 9 (2) ◽

pp. 173-181

Author(s):

Margo Purnomo ◽

Erna Maulina ◽

Aulia Rizki Wicaksono ◽

Muhamad Rizal

Keyword(s):

Artificial Intelligence ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Simple Random Sampling ◽

Sem Analysis ◽

Perceived Usefulness ◽

Equation Modeling ◽

Artificial Intelligence Technology ◽

Acceptance Model

The purpose of this study is to describe and analyze the implementation of the technology acceptance model on the adoption of artificial intelligence technology in digital startups. By using simple random sampling, a sample of 109 out of 143 populations, which are startups in Greater Jakarta, was obtained. Based on an analysis using Structural Equation Modeling (SEM) analysis with the SmartPLS tool. The results show that the adoption of artificial intelligence in digital startups is influenced by attitudes, perceptions of convenience and perceptions of usefulness. Likewise, perceived convenience and perceived usefulness are significantly affected by external pressures.

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ANALISIS TECHNOLOGY ACCEPTANCE MODEL APLIKASI LINKAJA

Jurnal Riset Ekonomi dan Bisnis ◽

10.26623/jreb.v13i3.2861 ◽

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

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 e-money. Sebagian masyarakat beranggapan bahwa transaksi pembayaran menggunakan e-money masih terdapat banyak kekurangan. Penelitian ini bertujuan untuk menguji Technology Acceptance Model (TAM) yaitu perceived ease of use dan perceived usefulness, selain itu juga menambahkan perceived risk untuk mengetahui pengaruh terhadap attitude toward using dan actual use terhadap penggunaan aplikasi LinkAja. Metode analisis menggunakan Structural Equation Modeling (SEM) dengan alat analisis SmartPLS. Penelitian ini dilakukan dengan metode survei dan sampel diambil menggunakan teknik purposive sampling terhadap responden yang menggunakan aplikasi LinkAja di seluruh Indonesia. Responden yang diperoleh sebanyak 200 responden. Hasil penelitian menunjukkan bahwa perceived ease of use dan perceived usefulness berpengaruh positif signifikan terhadap attitude toward using dan actual use. Perceived risk tidak berpengaruh signifikan terhadap actual use aplikasi LinkAja.

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Understanding Intention and Behavior Toward Online Purchase of Agriculture and Fisheries Products Using Extended Technology Acceptance Model

International Journal of Enterprise Information Systems ◽

10.4018/ijeis.2021100107 ◽

2021 ◽

Vol 17 (4) ◽

pp. 118-137

Author(s):

Junrie B. Matias

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Online Survey ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Usage Behavior ◽

Acceptance Model ◽

And Behavior

This study investigates the factors affecting the usage behavior and intention towards online purchasing platforms in purchasing agriculture and fisheries products online based on the technology acceptance model. External factors adapted from current literature were integrated with the model to understand the consumer intention and behavior towards online purchasing. An online survey with 318 respondents was used to test the hypotheses of the theoretical model using partial least squares component-based structural equation modeling. Results show that trust is a significant predictor of usage behavior. Furthermore, the factors visibility, perceived risk, perceived value, and enjoyment have directly or indirectly influenced intention and usage behavior through trust, perceived ease of use, and perceived usefulness. The researcher considers this work to have contributed essential inputs to other researchers interested in studying the adoption of online purchasing in fisheries and agriculture products.

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An Analysis of the Intention of Consumers to Adopt Branded Mobile Applications in South Africa

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v14i04.10602 ◽

2020 ◽

Vol 14 (04) ◽

pp. 138

Author(s):

Pierre Minnaar ◽

Lebogang Mototo ◽

Tinashe Chuchu

Keyword(s):

South Africa ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Mobile Applications ◽

Structural Equation ◽

Consumer Attitudes ◽

Equation Modeling ◽

Mobile Phone Applications ◽

Acceptance Model ◽

User Friendly

The purpose of the study was to conduct an empirical research on adoption of the technology acceptance model on investigating consumers’ intention to-wards the acceptance of branded mobile applications in South Africa. The study was quantitative in nature where 255 participants were utilised for data collection. To analyse the data structural equation modeling approach us-ing SPSS 24 and Amos 24 was conducted. Key findings were that the per-ceived usefulness of mobile phone applications and their enjoyment had direct and significant impact of consumer attitudes towards the adoption of those mobile applications. The implications of these key findings were that for mo-bile applications to be adopted in South Africa marketer have to find the best possible ways of making mobile applications user friendly and convenient whether be it for commerce or entertainment purposes.

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Validating the General Extended Technology Acceptance Model for E-Learning: Evidence From an Online English as a Foreign Language Course Amid COVID-19

Frontiers in Psychology ◽

10.3389/fpsyg.2021.671615 ◽

2021 ◽

Vol 12 ◽

Author(s):

Michael Yi-chao Jiang ◽

Morris Siu-yung Jong ◽

Wilfred Wing-fat Lau ◽

Yan-li Meng ◽

Ching-sing Chai ◽

...

Keyword(s):

Foreign Language ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Perceived Usefulness ◽

Learning System ◽

Equation Modeling ◽

E Learning ◽

Acceptance Model ◽

Novel Coronavirus

The present study validated the general extended technology acceptance model for e-learning (GETAMEL) with the survey data from the English as a foreign language (EFL) online class during the novel coronavirus lockdown period. A total of 678 undergraduates participated in the survey. Structural equation modeling was employed to analyze the data. The results showed that the influence of perceived usefulness of students on their intentional behavior to use the online learning system was not mediated by their attitude, indicating a very limited role of attitude toward technology in the model. Enjoyment and self-efficacy had no significant effects on the internal constructs, raising theoretical concerns on the applicability of this general model into specific contexts. In addition, we found that experience might be a moderator rather than an antecedent of the internal constructs in the model.

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Viewing Sports Online during the COVID-19 Pandemic: The Antecedent Effects of Social Presence on the Technology Acceptance Model

Sustainability ◽

10.3390/su14010341 ◽

2021 ◽

Vol 14 (1) ◽

pp. 341

Author(s):

Chia-Jung Chang ◽

Bryan Cheng-Yu Hsu ◽

Mei-Yen Chen

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Social Presence ◽

Structural Equation ◽

Online Survey ◽

Ease Of Use ◽

Perceived Usefulness ◽

Amazon Mechanical Turk ◽

Equation Modeling ◽

Acceptance Model

The outbreak of COVID-19 in 2020 has posed several challenges to the sporting industry, caused by the change in behavior of sporting fans from purchasing event tickets to watching live broadcasts of events on the Internet. This study aims to gain a deeper understanding of fan behavior in this “new normal”. It adopts a technology acceptance model (TAM) to explore the effects of social presence (SP) in the context of online viewing of professional sports. For this purpose, the authors conducted an online survey of viewers who watched NBA sports events on the Amazon Mechanical Turk website using the Together Mode feature of Microsoft Teams. We collected 209 valid questionnaires and performed a partial least squares structural equation modeling analysis. The results showed that the SP-TAM structural model has adequate predictive relevance, and SP has a statistically significant positive relationship with both perceived ease of use and perceived usefulness. The model was thus validated, contributing to the existing body of knowledge on emerging technologies such as the creation of a virtual audience in sports. The study’s findings suggest that technology developers should focus on the effects of SP and emphasize practical functions to increase the use intention of sporting fans. Furthermore, professional sporting leagues should prioritize the use of virtual fan technology to optimize the viewing experience of their fans.

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Modified technology acceptance model for hospital information system evaluation – a case study

MATEC Web of Conferences ◽

10.1051/matecconf/201815401101 ◽

2018 ◽

Vol 154 ◽

pp. 01101 ◽

Cited By ~ 5

Author(s):

Vembri Noor Helia ◽

Vikha Indira Asri ◽

Elisa Kusrini ◽

Suci Miranda

Keyword(s):

Information System ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

User Satisfaction ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Perceived Ease Of Use ◽

Acceptance Model

Hospital Information Systems (HIS) has been widely used in Indonesia. This implementation in hospital needs comprehensive, integrated information system designed to manage all the aspects of a hospital's operation. One of the factors that currently plays an important role in the successful HIS’s application is the user factor. The hospital can evaluate HIS from user factor, so that it becoming better, perfect and can support the objectives, vision and mission of the hospital. This study aims to use the Modified Technology Acceptance Model created in Structural Equation Modeling (SEM) and tested using the software Amos 20 to determine the variables that most influence in HIS’s application using in several hospitals in Sleman, Daerah Istimewa Yogyakarta Province, Indonesia. Data collected by distributing questionnaires to employees of D grade hospitals in Sleman district. The results from this study are seven variables that may influence the user in using HIS (Subjective Norm, Perceived Usefulness, Perceived Ease of Use, User Satisfaction, Behavior Intention to Use, Attitude Toward Using, Actual System Usage) and significant or insignificant relationship among them.

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The Technology Acceptance Model (TAM) and the Continuance Intention

Information Communication Technologies for Enhanced Education and Learning - Advances in Information and Communication Technology Education ◽

10.4018/978-1-60566-150-6.ch003 ◽

2011 ◽

pp. 29-44

Author(s):

Princely Ifinedo

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Computer Anxiety ◽

Perceived Usefulness ◽

Equation Modeling ◽

Continuance Intention ◽

Use Of Technology ◽

Acceptance Model ◽

The Impact

In this study, we investigate the influence of two external influences i.e., Ease of finding and Computer anxiety on the technology acceptance model (TAM) and the continuance intention of using a popular course management system (CMS): WebCT. The study used a sample of 72 students that have experience using the software. The students came from four local higher education institutions. In order to study nature of the relationships among the constructs, eight (8) hypotheses were formulated and tested using a structural equation modeling technique: Partial Least Squares (PLS). The predictive power of the model was adequate and the study found support for seven of eight hypotheses. Regarding the impact of the antecedents on continuance intention in the use of technology, the results offer the following insights: when computer anxiety is low, students are able to use the system without much difficulty, and are likely to continue to use CMS in the future. Similarly, students will continue the tool as long as they find it easy to navigate. Perhaps due to contextual factors, the data did not support the relationship between Perceived usefulness and Usage. This particular finding is at variance with the TAM’s results and viewpoint. The study’s implications for research and practice are succinctly outlined.

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