scholarly journals Assessment of Consumers Acceptance of E-Commerce to Purchase Geographical Indication Based Crop Using Technology Acceptance Model (TAM)

2021 ◽  
Vol 13 (3) ◽  
pp. 25-33
Author(s):  
Darryl Jeethesh D’souza ◽  
◽  
Harisha G. Joshi ◽  
Raghavendra Prabhu ◽  
◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Positive Influence ◽  
Specific Reference ◽  
Geographical Indication ◽  
Diffusion Of Information ◽  
Information And Communication ◽  
Acceptance Model ◽  
Significant Positive Influence

Diffusion of Information and Communication Technology (ICT) in every aspect of life has made the applications of e-commerce a fundamental part of marketing. Hence using e-commerce to market Geographical Indication (GI) based crops is quite essential for the survival of the growers associated with such crops. Due to this significance, it is critical to assess consumers acceptance of e-commerce to purchase geographical indication-based crop. The study uses Technology Acceptance Model (TAM) to validate consumers’ willingness of using e-commerce to purchase GI crops with specific reference to Udupi jasmine. To analyse the relationships between TAM variables, Structural Equation Modelling (SEM) technique was adopted. The analysis suggests that behavioural intentions of consumers will influence them into actual e-commerce use. Behavioural intention exerts a significant positive influence on the actual e-commerce use suggests that, if provided with an e-commerce application to purchase the product online, consumers are likely to accept and use it.

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

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.

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

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

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.

An Application of the Technology Acceptance Model to Individual Protective Measures (IPMs) Against Viruses

2021 ◽  
pp. 0-7:51 minutes
Author(s):  
Matti Haverila ◽  
Salma Husain
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Protective Measures ◽  
Influenza Pandemics ◽  
Environmental Measures ◽  
Acceptance Model

This presentation describes Technology Acceptance Model (TAM) when using individual protective measures (IPMs) against the spreading of viruses like COVID-19. The constructs in TAM are perceived usefulness, and ease of use, attitude towards the use of IPMs and the actual use as well as social influence, which were measured with relevant indicator variables. The statistical method used in the analysis was Partial Least Squares Structural Equation Modelling (PLS-SEM). IPMs include personal protective measures for everyday use (e.g., voluntary home isolation, respiratory etiquette, and hand hygiene); Personal protective measures for influenza pandemics (e.g., voluntary home quarantine, and use of face masks in community settings); and Environmental measures (e.g., routine cleaning of frequently touched surfaces). The results indicate that all relationships were significant also so that the effect sizes were large to medium with the exception of social influence -> perceived usefulness and social influence -> attitude towards usage.

Assessment of A Mobile Educational Coaching App

2018 ◽  
Vol 14 (1) ◽  
pp. 22-43
Author(s):  
Niousha Shahidi ◽  
Vesselina Tossan ◽  
Silvia Cacho-Elizondo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Survey ◽  
Causal Structure ◽  
Convenience Sample ◽  
Equation Modelling ◽  
Educational Coaching ◽  
Acceptance Model ◽  
Type Of School

This article explores which antecedents explain intentions to adopt a mobile coaching app. To that end, this study describes a coaching service designed to guide/encourage students throughout their studies in order to validate a new model of planned behavior based on the Technology Acceptance Model and the Goal-Directed Behavioral theory. The methodology included a short qualitative study and an online survey to examine the theoretical model which is based on scales tested in previous studies. The convenience sample is composed of students (Bachelor and Master/MBA) with the results analyzed using structural equation modelling to test the proposed model's causal structure. The results show different adoption patterns by gender and type of school.

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)

Analisis Bibliometrik Perkembangan Penelitian Penggunaan Pembayaran Seluler Dengan Vosviewer

2021 ◽  
Vol 16 (1) ◽  
pp. 10-17
Author(s):  
Femmy Effendy ◽  
Vanessa Gaffar ◽  
Ratih Hurriyati ◽  
Heny Hendrayati
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Mobile Payment ◽  
Microsoft Excel ◽  
Acceptance Model

Penelitian ini mengkaji perkembangan penelitian dengan topik penggunaan pembayaran seluler mobile payment, e-wallet. Kajian bertujuan untuk mengetahui: (1) perkembangan jumlah publikasi internasional bidang penggunaan pembayaran seluler mobile payment, w-wallet pada database Scopus dari tahun 2016 -2020; (2) jurnal inti dalam publikasi internasional penggunaan pembayaran seluler mobile payment, e-wallet (3) peta perkembangan publikasi internasional penelitian bidang penggunaan pembayaran seluler mobile payment, e-wallet berdasarkan kata kunci (co-word). Pengumpulan data dengan cara melakukan penelusuran melalui scopus dengan kata kunci mobile payment, mobile, payment, e-wallet, electronic walet, dengan katagori article title, abstract, keywords dalam kurun waktu 2016 –2020. Data berupa jumlah publikasi pertahun, jurnal yang memuat artikel mobile payment, mobile, payment, e-wallet, electronic walet, dan subjek dianalisis menggunakan Microsoft Excel. Sedangkan untuk tren pemetaan topik dianalisis dengan menggunakan sofware VosViewer. Hasil penelitian menunjukkan bahwa perkembangan pertumbuhan tahun 2016 - 2020 yang terindek di Scopus tertinggi terjadi pada tahun 2020 yang mencapai 82 publikasi (30.5 %). Publikasi internasional terbanyak dipublikasikan pada jurnal IEE sebanyak 12 artikel. Hasil penelitian menunjukan bahwa topik penelitian tentang pembayaran seluler atau mobile payment atau e-wallet masih didominasi oleh penggunaan model teori Technology acceptance Model (TAM), Trust dan perceived usefulness masih menjadi variable penelitian terbanyak, pilihan penggunaan metode survey,dengan tools analisis Structural Equation Model (SEM) khususnya PLS (partial least square), didominasi secara geografis pada penelitian pada negara berkembang (developing Country). Untuk penelitian selanjutnya penulis menyarankan perlu adanya penambahan kata kunci agar lebih banyak hasil penelitian yang lebih akurat dan komprehensif.

Exploring customers’ attitudes to the adoption of robots in tourism and hospitality

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Abou-Shouk ◽  
Hesham Ezzat Gad ◽  
Ayman Abdelhakim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Service Robots ◽  
Content Type ◽  
Factors Affecting ◽  
Positive Attitudes ◽  
Travel Agencies ◽  
Tourism And Hospitality ◽  
Acceptance Model

Purpose This study aims to explore the factors affecting customers’ attitudes to the adoption of robots in hotels and travel agencies. Design/methodology/approach Structural equation modelling was used to test the extended technology acceptance model based on data collected from 570 customers of hotels and travel agencies. Findings The findings revealed that hotel customers have more positive attitudes to service robots than their peers in travel agencies. Originality/value This research contributes to the literature on robots in tourism and responds to the call to investigate customers’ attitudes to the adoption of robots in developing countries.

Analisis Bibliometrik Perkembangan Penelitian Penggunaan Pembayaran Seluler Dengan Vosviewer

2021 ◽  
Vol 16 (1) ◽  
pp. 10-17
Author(s):  
Femmy Effendy ◽  
Vanessa Gaffar ◽  
Ratih Hurriyati ◽  
Heny Hendrayati
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Mobile Payment ◽  
Microsoft Excel ◽  
Acceptance Model

Penelitian ini mengkaji perkembangan penelitian dengan topik penggunaan pembayaran seluler mobile payment, e-wallet. Kajian bertujuan untuk mengetahui: (1) perkembangan jumlah publikasi internasional bidang penggunaan pembayaran seluler mobile payment, w-wallet pada database Scopus dari tahun 2016 -2020; (2) jurnal inti dalam publikasi internasional penggunaan pembayaran seluler mobile payment, e-wallet (3) peta perkembangan publikasi internasional penelitian bidang penggunaan pembayaran seluler mobile payment, e-wallet berdasarkan kata kunci (co-word). Pengumpulan data dengan cara melakukan penelusuran melalui scopus dengan kata kunci mobile payment, mobile, payment, e-wallet, electronic walet, dengan katagori article title, abstract, keywords dalam kurun waktu 2016 –2020. Data berupa jumlah publikasi pertahun, jurnal yang memuat artikel mobile payment, mobile, payment, e-wallet, electronic walet, dan subjek dianalisis menggunakan Microsoft Excel. Sedangkan untuk tren pemetaan topik dianalisis dengan menggunakan sofware VosViewer. Hasil penelitian menunjukkan bahwa perkembangan pertumbuhan tahun 2016 - 2020 yang terindek di Scopus tertinggi terjadi pada tahun 2020 yang mencapai 82 publikasi (30.5 %). Publikasi internasional terbanyak dipublikasikan pada jurnal IEE sebanyak 12 artikel. Hasil penelitian menunjukan bahwa topik penelitian tentang pembayaran seluler atau mobile payment atau e-wallet masih didominasi oleh penggunaan model teori Technology acceptance Model (TAM), Trust dan perceived usefulness masih menjadi variable penelitian terbanyak, pilihan penggunaan metode survey,dengan tools analisis Structural Equation Model (SEM) khususnya PLS (partial least square), didominasi secara geografis pada penelitian pada negara berkembang (developing Country). Untuk penelitian selanjutnya penulis menyarankan perlu adanya penambahan kata kunci agar lebih banyak hasil penelitian yang lebih akurat dan komprehensif.

An Empirical Study to Validate the Technology Acceptance Model in Explaining the Intention to Use Technology among Educational Users

2012 ◽  
pp. 282-294 ◽  
Author(s):  
Timothy Teo
Keyword(s):  
Data Analysis ◽  
Empirical Study ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Structural Models ◽  
Intention To Use ◽  
Acceptance Model ◽  
Acceptance Research ◽  
Study Offer

This study examines a sample (N=239) of pre-service teachers’ self-reported intention to use technology. The Technology Acceptance Model (TAM) was used as a research framework in which findings contribute to technology acceptance research by demonstrating the suitability of the TAM to explain the intention to use technology among educational users. Using the structural equation modelling for data analysis, a good fit was found for both the measurement and structural models. Overall, the results of this study offer evidence that the TAM is effective in predicting pre-service teachers’ intention to use technology. This paper concludes with a discussion of the limitations and recommendations for further study.

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