To see the other types of publications on this topic, follow the link: Technology Acceptance Model (TAM).
Journal articles on the topic 'Technology Acceptance Model (TAM)'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Technology Acceptance Model (TAM).'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Pierce, Tamra P., Christopher Willy, Robert Roncace, and John Bischoff. "Extending The Technology Acceptance Model: Policy Acceptance Model (PAM)." American Journal of Health Sciences (AJHS) 5, no. 2 (November 24, 2014): 129–44. http://dx.doi.org/10.19030/ajhs.v5i2.8963.
Full textAbstract:
Many have studied the process of acceptance and adoption of new ideas and technologies as they are introduced into society. While several models have been used to assess various influencing factors, the Technology Acceptance Model (TAM) is one that is most widely accepted. This model examines people’s acceptance of new technologies based on variables that directly correlate to how the end user views the product. This paper introduces the Policy Acceptance Model (PAM), an expansion of TAM, which is designed for the analysis and evaluation of acceptance of new policy implementation. PAM includes the traditional constructs of TAM and adds the variables of age and ethnicity. The model is experimentally assessed using a survey of people’s attitudes toward the upcoming health care reform from 72 survey respondents. The aim is that the theory behind this model can be used as a framework that will be applicable to studies looking at the introduction of any new or modified policies.
2
Herlina, Destriana Widyaningrum, and Giovanny Theotista. "Tipologi Financial Technology Paylater: Technology Acceptance Model (TAM)." Formosa Journal of Multidisciplinary Research 2, no. 1 (January 30, 2023): 207–16. http://dx.doi.org/10.55927/fjmr.v2i1.2417.
Full textAbstract:
The use of paylater fintech is currently mushrooming among the public because it makes it easier for people to shop online. The typology of fintech paylaters is based on the Technology Acceptance Model (TAM) method to determine the contribution of the magnitude of the Technology Acceptance Model (TAM) aspect in explaining the use of fintech paylaters. The study used a sample of 101 fintech paylater respondents who live in Jakarta and data analysis techniques used Tructural Equation Modeling (SEM-AMOS) with the First Order Confirmatory Factor Analysis (CFA) technique. The results showed that the contribution of the Technology Acceptance Model (TAM) aspects in explaining the use of the Technology Acceptance Model (TAM) was the Technology Acceptance Model (TAM) respectively, namely Perceived Usefulness of 93.7%, Attitude Toward Using of 93.7 %, Perceived Ease of Use of 92.20%, Behavioral Intention to Use of 78.5% and lastly Actual Use of 43.9%.
3
Purnomo, Margo, Erna Maulina, Aulia Rizki Wicaksono, and Muhamad Rizal. "TECHNOLOGY ACCEPTANCE MODEL PADA UKM : STUDI PEMETAAN SISTEMATIK." AdBispreneur 7, no. 1 (August 4, 2022): 77. http://dx.doi.org/10.24198/adbispreneur.v7i1.36295.
Full textAbstract:
Research on the Technology Acceptance Model (TAM) in small and medium enterprises (SMEs) has been widely carried out because TAM is one theory that plays an important role in the sustainability of SMEs. So the purpose of this research is to conduct a mapping related to the topic of TAM in SMEs, especially for the publication trends of each country from time to time, the focus and locus of research as well as the methods used. This research is a qualitative method using a systematic mapping study method. The search was carried out with the criteria of being a scientific journal published on the Scopus electronic database in the publication year 2004-2019, using English and the subject area of Business, Management and Accounting. The results of this study indicate that there has been an increase in discussions related to the topic of TAM from 2004 to 2019. Research related to the topic of TAM is generally dominated by scientific publications from Asia, namely Indonesia, Iran, Korea, Malaysia, Oman, Taiwan and the UAE. The results showed that there were 17.2% of previous research articles on TAM in SMEs in Indonesia. The approach used in this research is mostly quantitative, which is 80% and mostly done in manufacturing companies, which is 24.1%. Although the results of this study have limitations in observation time, they contribute to providing an overview of opportunities to explore new topics in TAM in SMEs.Penelitian tentang Technology Acceptance Model (TAM) pada usaha kecil dan menengah (UKM) telah banyak dilakukan dikarenakan TAM merupakan salah satu teori yang berperan penting dalam keberlangsungan UKM. Sehingga tujuan penelitian ini adalah untuk melakukan pemetaan terkait topik TAM pada UKM khususnya untuk tren publikasi setiap negara dari waktu ke waktu, fokus dan lokus penelitian serta metode yang digunakan. Penelitian ini menggunakan metode kualitatif dengan menggunakan metode studi pemetaan sistematik. Penelusuran dilakukan dengan kriteria jurnal merupakan jurnal ilmiah yang dipublikasikan pada database electronic scopus pada tahun publikasi 2004-2019, menggunakan bahasa inggris dan subject area Business, Management and Accounting. Hasil penelitian ini menunjukkan terdapat peningkatan pembahasan terkait topik TAM yang ada sejak tahun 2004 sampai dengan tahun 2019. Penelitian terkait topik TAM ini umumnya didominasi oleh publikasi ilmiah yang berasal dari Asia yaitu Indonesia, Iran, Korea, Malaysia, Oman, Taiwan dan UEA. Hasil penelitian menunjukkan terdapat 17.2% artikel penelitian terdahulu tentang TAM pada UKM di Indonesia. Dengan pendekatan yang digunakan dalam penelitian ini adalah sebagian besar secara kuantitatif yaitu sebesar 80% dan banyak dilakukan pada perusahaan manufacturing yaitu sebesar 24,1%. Walaupun hasil penelitian ini memiliki keterbatasan dalam waktu pengamatan akan tetapi berkontribusi dalam memberikan gambaran tentang peluang untuk mengekplorasi topik baru dalam TAM pada UKM.
4
Sutrisno, Sutrisno, Diva Riza FAHLEFI, and Sarbullah Sarbullah. "PENERIMAAN FINANCIAL TECHNOLOGY BERBASIS TECHNOLOGY ACCEPTANCE MODEL (TAM)." JURNAL STIE SEMARANG 12, no. 1 (February 24, 2020): 33–46. http://dx.doi.org/10.33747/stiesmg.v12i1.395.
Full textAbstract:
Tecnology Acceptance Model (TAM) developed by Davis which is a successful and acceptable model in order to predict the acceptance of a new technology. In the last two years, in Indonesia there has emerged a financial technology service that was designed with the open platform principle, OVO. OVO is a service engaged in the field of financial technology, is a smart application designed to make payment services and transactions online, and has penetrated into all business expansion. The purpose of this research is to find out. the effect of perceived ease, perceived risk and attitude of use on the intention of OVO financial technology behavior in Surakarta City.
The population used in this study were all users who intended to use OVO financial technology behavior in Surakarta City amounted to 140. The sample used in this study were 60 people. Data analysis methods used are descriptive statistical analysis, validity test, Classic Assumption Test, multiple regression analysis, t-test statistics and the model feasibility test and the coefficient of determination.
The results of this study indicate that perceptions of ease have a positive and significant influence on the behavioral intention of OVO financial technology in the city of Surakarta with a significance of 0,000 <0.05. perceived risk has a positive and significant effect on the intention of OVO financial technology behavior in Surakarta City with a significance of 0.002 <0.05. usage attitude has a positive and significant influence on the intention of OVO financial technology behavior in Surakarta City with a significance of 0,000 <0.05. This means that all variables affect the intention of OVO financial technology behavior in Surakarta City.
Seeing the results of the research conclusions, that Behavioral Intetion of the users stated that those interested in using OVO financial technology applications with the advantages offered such as free transfers
5
Kirlidog, Melih, and Aygul Kaynak. "Technology Acceptance Model and Determinants of Technology Rejection." International Journal of Information Systems and Social Change 2, no. 4 (October 2011): 1–12. http://dx.doi.org/10.4018/jissc.2011100101.
Full textAbstract:
Technology Acceptance Model (TAM) is an important tool to understand the dynamics of acceptance of Information Systems in an organization. The model posits that perceived ease of use and perceived usefulness are key factors in the adoption. This study extends TAM for investigating the user rejection of technology by reversing the two key factors into perceived difficulty of use and perceived uselessness. The study was conducted by surveying the customers of an e-banking application in Turkey who disuse the system. The results reveal important hints for the organization that wants to get an insight into the causes of the system disuse.
6
Ibrahim, R., N. S. Leng, R. C. M. Yusoff, G. N. Samy, S. Masrom, and Z. I. Rizman. "E-learning acceptance based on technology acceptance model (TAM)." Journal of Fundamental and Applied Sciences 9, no. 4S (January 23, 2018): 871. http://dx.doi.org/10.4314/jfas.v9i4s.50.
Full text
7
Sanchís-Pedregosa, Carlos, Juan-Manuel Vizcarra-Aparicio, and Antonio L. Leal-Rodríguez. "BIM: a technology acceptance model in Peru." Journal of Information Technology in Construction 25 (February 5, 2020): 99–108. http://dx.doi.org/10.36680/j.itcon.2020.006.
Full textAbstract:
The purpose of this paper is to empirically study factors that facilitate the adoption of building information modelling (BIM) among practitioners using the unified theory of technology acceptance model (TAM). The factors identified in the TAM were examined using a quantitative approach. The empirical investigation has been conducted using a survey questionnaire. The data set has been obtained from 73 architects and engineers in Peru. Results show that Perceived Usefulness (PU) is the most important determinant of Behavioural Intention (BI), while Perceived Ease of Use (PEOU) is found to have no significant effect on BI. The findings provide an excellent backdrop in the development of policy and a roadmap for BIM implementation in Peru. The original contribution and value of the paper is the use of TAM to provide empirical evidence on factors that facilitate BIM adoption in Peru.
8
Horton, Robin P., Tamsin Buck, Patrick E. Waterson, and Chris W. Clegg. "Explaining Intranet use with the Technology Acceptance Model." Journal of Information Technology 16, no. 4 (December 2001): 237–49. http://dx.doi.org/10.1080/02683960110102407.
Full textAbstract:
This paper considers the application of the technology acceptance model (TAM) in explaining intranet usage in two organizations. The TAM was originally developed for explaining technology acceptance and has since been successfully applied to a number of technologies. Its suitability for modelling intranet use is considered here. The model is tested in two UK companies from the banking and engineering sectors. Study 1 finds that the TAM may be valuable as a tool for helping with analysing and understanding intranet usage. The second study indicates that its applicability may be variable between intranets and demonstrates that self-report and actual measures of usage are not interchangeable when applying such a model. The findings have implications for previous and current research employing the TAM and for intranet research in general.
9
Gupta, Swati, Alhamzah Fadhil Abbas, and Rajeev Srivastava. "Technology Acceptance Model (TAM): A Bibliometric Analysis from Inception." Journal of Telecommunications and the Digital Economy 10, no. 3 (September 21, 2022): 77–106. http://dx.doi.org/10.18080/jtde.v10n3.598.
Full textAbstract:
The technology acceptance model (TAM) has long-term implications for management studies. However, the evolution of the literature on technology acceptance ideas received very little attention in the bibliographic review. Few research reviews provided a systematic overview of the development and progress of the TAM literature based on the entire citation network, while many research reviews focused on re-examining the links between TAM components through meta-analysis. This study investigates: a) how TAM research has evolved and expanded over the last 30 years; b) the main areas in which the TAM model has been used; and c) key contributors to TAM research and their collaborations. This bibliometric analysis was carried out based on 8207 papers published in the Scopus database between 1990 and 2020 to assess the feasibility of the model and its applicability. The findings revealed that early TAM research was conducted both by Eastern and Western scholars and that it has since continued to evolve and be shared widely. Nonetheless, most TAM publications have focused on the same narrow domains of computer science, social science, business, management, and accounting and the trendiest topics were usefulness, trust, ease of use, e-learning, adoption, e-commerce, and social media.
10
Nurqamarani, Adisthy Shabrina, Eddy Sogiarto, and Nurlaeli Nurlaeli. "Technology Adoption in Small-Medium Enterprises based on Technology Acceptance Model: A Critical Review." Journal of Information Systems Engineering and Business Intelligence 7, no. 2 (October 28, 2021): 162. http://dx.doi.org/10.20473/jisebi.7.2.162-172.
Full textAbstract:
Background: Technology acceptance model (TAM) has been extensively used to analyse user acceptance of technologies adopted by enterprises at different levels. Moreover, the technology adoption has drawn attention among practitioners and academic communities alike, leading to the development of approaches to understand the concept. However, there is a degree of inconsistency found in previous studies on different types of TAM models used in explaining user acceptance of technologies among small-medium enterprises (SMEs).Objective: This critical literature review aims to synthesise the technology adoption scholarly studies using TAM. It is expected to aid the identification of the most relevant factors influencing SMEs in adopting technology. Additionally, analysing the variations of TAM developed in previous studies could provide suggested variables specific to the type of technology industry.Methods: An integrated approach was used, and this involves a review of articles on the adoption of technologies in SMEs from 2011 to 2021, retrieved from popular databases using a mixture of keywords such as technology acceptance model (TAM), technology adoption, and technology adoption in SMEs.Results: An overview of TAM studies on user acceptance of technology in this review covers a wide range of research areas from financial technology to human resource management-related technology. Perceived usefulness and perceived ease of use were discovered to be the most common factors in TAM from the 21 articles reviewed. Meanwhile, some other variables were observed such as context, type of technology and level of user experience.Conclusion: The review highlights key trends in previous studies on IT adoption in SMEs, which assist researchers and developers in understanding the most relevant factors and suitable TAM models in determining user acceptance in a particular field. Keywords: Technology Acceptance Model, Technology Adoption, Small-medium Enterprises, Critical Review
11
ARMOUTI, Motasem, Suhair ALHAJHASSAN, and Khalid ALSAMARA. "An Adapted Technology Acceptance Model (TAM 5) Framework to Enhance User Acceptance and Experience." Eurasia Proceedings of Science Technology Engineering and Mathematics 26 (December 30, 2023): 190–201. http://dx.doi.org/10.55549/epstem.1409471.
Full textAbstract:
In the rapidly evolving technological landscape, many companies invest in developing solutions that often fail to gain user acceptance. Understanding the reasons behind these failures is crucial, thus various iterations of the Technology Acceptance Model (TAM) have been introduced namely: TAM, TAM 2, TAM 3, and TAM 4 IE. Applying these models has shed light on a significant portion of the factors influencing technology acceptance. Nevertheless, it suggests that numerous other factors remain unexplored and need further consideration. This research proposes the Technology Acceptance Model 5 (TAM 5) as an advanced version with additional dimensions and factors to further investigate, aiming to enhance technology acceptance. TAM 5 includes three primary dimensions: First, applying Hybrid Agile-Waterfall software development approach, merging the strengths of both methodologies, to enhance the development process and user satisfaction; Second, applying Hybrid Work Settings of Working from Home (WFH) and Working from Office (WFO), enhancing team collaboration and problem-solving, thereby facilitating technology acceptance; and finally, consideration of Cultural factors, Social customs and traditions, and Time zone differences (CST), all of which may influence technology acceptance. To assess the effectiveness of TAM 5, a questionnaire designed and validated by experts was administered to respondents in the software industry, including professionals from various roles and experience levels. The results were analyzed using multiple regression, and the weights indicate that applying the Hybrid Agile-Waterfall development approach and the Hybrid Work Settings had a significant positive impact on technology acceptance with β values of 0.333 and 0.344 respectively. Cultural factors and traditions had a significant negative influence on technology acceptance with β value of -0.848, while the impact of time zone differences was found to be insignificant with a negligible β value. In conclusion, TAM 5 reveals key dimensions that impact technology acceptance rates, providing valuable insights for businesses and researchers to better understand and address the challenges related to user acceptance of technology in contemporary society.
12
Handayani, Wahyu Prabawati Putri, and Mugi Harsono. "APLIKASI TECHNOLOGY ACCEPTANCE MODEL (TAM) PADA KOMPUTERISASI KEGIATAN PERTANAHAN." Jurnal Economia 12, no. 1 (September 12, 2016): 13. http://dx.doi.org/10.21831/economia.v12i1.8415.
Full textAbstract:
Abstrak: Aplikasi Technology Acceptance Model (TAM) Pada Komputerisasi Kegiatan Pertanahan. Tujuan penelitian ini adalah untuk menguji dan menganalisis pengaruh Technology Acceptance Model (TAM) Pada Komputerisasi Kegiatan Pertanahan. Sebuah metodologi survey digunakan untuk mengumpulkan data 100 karyawan. Path analysis menunjukkan bahwa (1) Computer self-efficacy berpengaruh pada persepsi kemudahan penggunaan dan persepsi manfaat teknologi, (2) Persepsi kemudahan penggunaan teknologi berpengaruh pada persepsi manfaat dan sikap untuk menggunakan teknologi, (3) Persepsi manfaat teknologi berpengaruh pada sikap dalam menggunakan teknologi, dan (4) Sikap untuk menggunakan teknologi berpengaruh pada niat untuk menggunakan teknologi. Kata kunci: Technology Acceptance Model (TAM), computer self-efficacy, persepsi manfaat teknologi, sikap menggunakan teknologi, niat menggunakan teknologi Abstract: Application of Technology Acceptance Model (TAM) On Computerized Land Activities. The purpose of this study was to examine and analyze the effect of the Technology Acceptance Model (TAM) on computerized land activities. A survey methodology used to collect data of 100 employees. The results indicated that (1) Computer self-efficacy affected the perceived ease of use and usefulness of the technology, (2) the perceived ease of use technology affected of perceived usefulness and attitude towards using technology, (3) the perceived usefulness affected attitude towards using technology, and (4) the attitude to use technology affected intention to use technology. Keywords: Technology Acceptance Model (TAM), computer self-efficacy, perceived usefulness, attitude to use technology, intention to use technology
13
Sukackė, Vilma. "TOWARDS EXTENDING THE ORIGINAL TECHNOLOGY ACCEPTANCE MODEL (TAM) FOR A BETTER UNDERSTANDING OF EDUCATIONAL TECHNOLOGY ADOPTION." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 5 (May 21, 2019): 525. http://dx.doi.org/10.17770/sie2019vol5.3798.
Full textAbstract:
Technology acceptance model (TAM) is arguably the most widely used intention theory that explains the individual’s acceptance of a certain technology. Since Davis introduced TAM in 1986, it has been applied and validated in a variety of disciplines, including educational sciences. However, scholars note that depending on a specific context, the original TAM needs to be extended, which has been done by introducing external variables and other theories. Despite the existent TAM2 and TAM3, numerous scholars still opt for the original TAM, extending it with the variables and theories that are relevant to the specific context of their study. The aim of the present paper is to provide an overview of validated TAM extensions, which might later help to further the understanding of educational technology acceptance, which is a prerequisite of its adoption. Since interdisciplinarity in various contexts is becoming more and more common, the overview presents TAM extensions that come from a number of different disciplines. The overview is based on 108 papers that were retrieved from the Web of Science (Clarivate Analytics) by searching for the keywords ‘extended Technology Acceptance Model’, ‘extended TAM’, and ‘TAM extension’.
14
Napitupulu, Darmawan, Jimmy Abdel Kadar, and Rahmi Kartika Jati. "Validity Testing of Technology Acceptance Model Based on Factor Analysis Approach." Indonesian Journal of Electrical Engineering and Computer Science 5, no. 3 (March 1, 2017): 697. http://dx.doi.org/10.11591/ijeecs.v5.i3.pp697-704.
Full textAbstract:
Successful implementation of Information Technology can be judged or predicted from the user acceptance. Technology acceptance model (TAM) is a model that is built to analyze and understand the factors that influence the acceptance of the use of technologies based on the users perspective. In other words, TAM offers a powerful explanation related to acceptance of the technology and its behavior. TAM model has been applied widely to evaluate various information systems (IS) or information technology (IT), but it is the lack of research related to the evaluation of the TAM model itself. This study aims to determine whether the model used TAM is still relevant today considering rapid development of information communication technology (ICT). In other words, this study would like to test whether the TAM measurement indicators are valid and can represent each dimension of the model. The method used is quantitative method with factor analysis approach. The results showed that all indicators valid and can represent each dimension of TAM, those are perceived usefulness, perceived ease of use and behavioral intention to use. Thus the TAM model is still relevant used to measure the user acceptance of technology.
15
Galib, Mohammad Hasan, Khalid Ait Hammou, and Jennifer Steiger. "Predicting Consumer Behavior: An Extension of Technology Acceptance Model." International Journal of Marketing Studies 10, no. 3 (August 22, 2018): 73. http://dx.doi.org/10.5539/ijms.v10n3p73.
Full textAbstract:
The purpose of this study is to examine the predictive power of the technology acceptance model (TAM) on customer’s intention to participate in the social customer relationship management (sCRM) program. Three additional constructs, perceived risk, user satisfaction, and perceived enjoyment were added to the original TAM. The collected data (n=264) were subject to statistical analysis of structural equation modeling, exploratory and confirmatory factor analysis. The study reveals that TAM by itself is not a robust model to predict customer’s intention to participate in the sCRM program. Among the original constructs of TAM, attitude is the only determinant of intention. The impact of perceived usefulness and perceived ease of use was not significant on intention. Among the extended variables, perceived risk is the only variable that significantly influenced intention; perceived enjoyment and user satisfaction did not have any impact on intention. By applying the TAM to the sCRM, this study extends the overall body of the theoretical knowledge surrounding technology acceptance.
16
Hasanudin, Mohammad. "MODEL PENERIMAAN TEKNOLOGI INTERNET PADA MAHASISWA DI KOTA SEMARANG." Jurnal Riset Akuntansi dan Keuangan 5, no. 1 (February 1, 2009): 46. http://dx.doi.org/10.21460/jrak.2009.51.152.
Full textAbstract:
Theoretical and ernpirical research on technologt acceptance, while aclmowledging the importance of individual beliefs about the compatibility of a technologt, has pro&tced equivocal results. This research revians studies using the TechnologtAcceptance Model (TAM| in order to create a modified model and instrument to study the acceptance of Internet technologt by students in semarang town. In this paper, we examined the relationships between the TAM constructs to explain thevmiance in the acceptance of different information technologies. Based upon the empirical research using the technologt assessrnent model, a modifi.ed TAM was developed for the acceptance of Internet-based technologies by students. and add or change one part of the TAM. The purpose of this study is (1) to apply the TAM to Internet technologt to be useful antecedents for predicting perceived usefulness, perceived ease of use and behavioral intent to use. Subject of the resemch is studentsin Semarang town, They asked tofill the qutionair abo;ut perception in internet.Keywords: Prerceived, ease of use, attitude, technology acceptance model, behavior, internet
17
Prihatono, Felix Andrian, and Tri Joko Wahyu Adi. "Building Information Modeling (BIM) Technology Acceptance Analysis Using Technology Acceptance Model (TAM)." IPTEK Journal of Proceedings Series, no. 1 (September 19, 2021): 81. http://dx.doi.org/10.12962/j23546026.y2020i1.10854.
Full text
18
Shaikh, Imran Mehboob, Muhammad Asif Qureshi, Kamaruzaman Noordin, Junaid Mehboob Shaikh, Arman Khan, and Muhammad Saeed Shahbaz. "Acceptance of Islamic financial technology (FinTech) banking services by Malaysian users: an extension of technology acceptance model." foresight 22, no. 3 (April 23, 2020): 367–83. http://dx.doi.org/10.1108/fs-12-2019-0105.
Full textAbstract:
Purpose This paper aims to examine the determinants that influence bank users’ acceptance for Islamic financial technology (FinTech) services by extending the technology acceptance model (TAM) in the Malaysian context. Design/methodology/approach The survey was conducted using convenience sampling. Moreover, 205 responses were gathered from users of the Islamic bank. On the same note, the literature on determinants of Islamic FinTech acceptance and TAM was reviewed as well in a bid to contribute to the factors that are instrumental in determining the acceptance of FinTech services. Findings Findings of the study reveal that Islamic FinTech’s services acceptance is determined by perceived ease of use, perceived usefulness and also by another variable, which is consumer innovativeness (CI). On the contrary other factors, self-efficacy and subjective norms are found not to be influential in determining Islamic FinTech’s acceptance by Islamic banking users. Originality/value TAM is extended in the context of Islamic FinTech. A new variable, namely, CI is tested using TAM. CI is yet to be tested, therefore, this paper will be a useful reference for the policymakers, academicians and future researchers.
19
오종철. "Haptic Enabling Technology Acceptance Model(HE-TAM): Combined TAM and IDT." E-Business Studies 13, no. 5 (December 2012): 323–46. http://dx.doi.org/10.15719/geba.13.5.201212.323.
Full text
20
O'Connell, Megan, Kristen Haase, Allison Cammer, Shelley Peacock, Theodore Cosco, and Lorraine Holtslander. "Older Adults’ Acceptance of Technology During the Pandemic: The COVID Technology Acceptance Model (TAM)." Innovation in Aging 5, Supplement_1 (December 1, 2021): 1012. http://dx.doi.org/10.1093/geroni/igab046.3628.
Full textAbstract:
Abstract During the pandemic, technology-mediated communication was one of the few ways to maintain social and community connections. We explored how the pandemic impacted older adults’ use and appraisal of technology. In a random sample of 407 older adults (M age = 81.1 years; range 65-105 years) almost half (n = 161) reported they changed how they used technology to virtually connect with others during the pandemic, and 78 of these reported that this was new technology for them. We adapted the technology acceptance model (TAM) for the pandemic, the COVID-TAM, and describe how physical distancing led to new acceptance of technology due to an increased perception of usefulness of technology for maintaining community and social connections. The 71 older adults who denied using technology were asked about the reasons underlying their reluctance to use technology to access social networks and community events during the pandemic. Thematic analysis revealed factors consistent with a double-digital divide; lack of physical exposure to technology creates an additional psychological barrier to adoption of new technology. Of the technology-reluctant subgroup of older adults, few reported lack of perceived usefulness of technology during the pandemic. Instead, most reported lack of self-efficacy or fear of technology underlying their lack of technology use for social and community connections during the pandemic, which we incorporate into the COVID-TAM. Findings indicate that technology training can help mitigate this fear and increase social and community connections that are technology-mediated in circumstances where physical distancing is necessary.
21
Rahimi, Bahlol, Hamed Nadri, Hadi Lotfnezhad Afshar, and Toomas Timpka. "A Systematic Review of the Technology Acceptance Model in Health Informatics." Applied Clinical Informatics 09, no. 03 (July 2018): 604–34. http://dx.doi.org/10.1055/s-0038-1668091.
Full textAbstract:
Background One common model utilized to understand clinical staff and patients' technology adoption is the technology acceptance model (TAM). Objective This article reviews published research on TAM use in health information systems development and implementation with regard to application areas and model extensions after its initial introduction. Method An electronic literature search supplemented by citation searching was conducted on February 2017 of the Web of Science, PubMed, and Scopus databases, yielding a total of 492 references. Upon eliminating duplicates and applying inclusion and exclusion criteria, 134 articles were retained. These articles were appraised and divided into three categories according to research topic: studies using the original TAM, studies using an extended TAM, and acceptance model comparisons including the TAM. Results The review identified three main information and communication technology (ICT) application areas for the TAM in health services: telemedicine, electronic health records, and mobile applications. The original TAM was found to have been extended to fit dynamic health service environments by integration of components from theoretical frameworks such as the theory of planned behavior and unified theory of acceptance and use of technology, as well as by adding variables in specific contextual settings. These variables frequently reflected the concepts subjective norm and self-efficacy, but also compatibility, experience, training, anxiety, habit, and facilitators were considered. Conclusion Telemedicine applications were between 1999 and 2017, the ICT application area most frequently studied using the TAM, implying that acceptance of this technology was a major challenge when exploiting ICT to develop health service organizations during this period. A majority of the reviewed articles reported extensions of the original TAM, suggesting that no optimal TAM version for use in health services has been established. Although the review results indicate a continuous progress, there are still areas that can be expanded and improved to increase the predictive performance of the TAM.
22
Rahmawati, Riski Nurida, and I. Made Narsa. "Penggunaan e-learning dengan Technology Acceptance Model (TAM)." Jurnal Inovasi Teknologi Pendidikan 6, no. 2 (October 23, 2019): 127–36. http://dx.doi.org/10.21831/jitp.v6i2.26232.
Full textAbstract:
Kemajuan dalam teknologi informasi memberi kesempatan pada institusi pendidikan untuk mengadopsi teknologi untuk meningkatkan efisiensi pembelajaran. e-Learning merupakan salah satu pengembangan tersebut dan tidak dapat disampaikan tanpa menggunakan teknologi. Tujuan penelitian ini yaitu untuk mendapatkan bukti empiris terkait actual usage dari penggunaan e-learning dengan pemediasi intention to use. Data dalam penelitian ini sebanyak 135 kuesioner yang disebarkan kepada mahasiswa Universitas Airlangga yang sempat memanfaatkan AULA. AULA merupakan portal e-Learning di Universitas Airlangga, yang merupakan singkatan dari Airlangga Univeristy e-Learning Application. Alat uji yang digunakan adalah Warp PLS. Perceived usefulness yang dirasakan pada penggunaan e-learning tidak memberikan pengaruh pada actual usage. Perceived ease of use memiliki hubungan signifikan pada intention to use. Hasil pengujian pengaruh tidak langsung menunjukkan perceived usefulness mempengaruhi niat perilaku untuk menggunakan teknologi. Persepsi kemudahan menggunakan teknologi dimotivasi tingkat kepercayaan individu terhadap kemampuan menggunakan teknologi, yang mana akan mendorong persepsi kebermanfaatan dan berimplikasi pada niat untuk menggunakan teknologi untuk menggunakan e-learning.Kata kunci: Actual Usage, perceived ease of use, e-Learning, intention to use Actual usage use of e-learning with Technology Acceptance Model (TAM) AbstractProgress in information technology provides opportunities for education to encourage technology to improve learning efficiency. E-Learning is one such development and cannot be delivered without using technology. The purpose of the study is to get empirical evidence related to actual usage of using e-learning with intention to use as a mediation. Data used in the study were 135 questionnaires that distributed to students of Airlangga University who are active or have used / participated in AULA (Airlangga University e-Learning Application). AULA is an e-Learning portal at Airlangga University. Data analysis techniques using Warp PLS. The results show the perceived usefulness of e-learning, does not affect the actual use. Perceived ease of use has a significant positive relationship with intention to use. The results evaluation direct effect of perceived usefulness influences intention to use technology. Perceived ease of use of technology is motivated by the level of individual trust in ability to use technology, which will encourage perceptions of usefulness and have implications for the intention to use technology to use e-learning.Keywords: Actual Usage, perceived ease of use, e-learning, intention to use
23
Folkinshteyn, Daniel, and Mark Lennon. "Braving Bitcoin: A technology acceptance model (TAM) analysis." Journal of Information Technology Case and Application Research 18, no. 4 (October 2016): 220–49. http://dx.doi.org/10.1080/15228053.2016.1275242.
Full text
24
Jody Toha, Christian, and Mulyati Mulyati. "ANALISIS TECHNOLOGY ACCEPTANCE MODEL (TAM) PADA APLIKASI GREATDAY." Klik - Jurnal Ilmu Komputer 3, no. 2 (September 16, 2022): 82–89. http://dx.doi.org/10.56869/klik.v3i2.381.
Full textAbstract:
Aplikasi GREATDAY memiliki fitur seperti rekapitulasi kehadiran (jam datang dan jam pulang), pengajuan lembur dan cuti, menghitung upah, mengklaim, menugaskan tugas dan mengevaluasi karyawan, menghitung pajak dan melaporkan upah secara akurat karena ada proses perhitungan yang terintegrasi antara upah, PPh 21 dan BPJS. Penggunaan program GREATDAY menjadi pilihan di masa wabah Covid-19, karyawan dapat bekerja dari rumah untuk mencegah penyebaran virus. Model penelitian ini menggunakan Technology Acceptance Model (TAM). Metode pengumpulan data adalah kuesioner, dan pengolahan serta analisis data dilakukan melalui model persamaan struktural (SEM) dengan menggunakan program aplikasi SmartPLS versi 2.0 M3. Hasil penelitian menunjukkan hasil yang signifikan, variabel yang signifikan yaitu Perceived Ease of Use berpengaruh signifikan terhadap Perceived Usefulness, Perceived Ease of Use berpengaruh signifikan terhadap Attitude Towards Using. Attitude Towards Using berpengaruh signifikan terhadap Behavioral Intention to Use dan Behavioral Intention to Use berpengaruh Signifikan terhadap Actual System Use. Sedangkan 2 variabel yang tidak berpengaruh secara signifikan yaitu variabel Perceived Usefulness berpengaruh tidak signifikan terhadap Attitude Towards Using dan Perceived Usefulness berpengaruh tidak signifikan terhadap Behavioral Intention to Use.
25
Aswar, Khoirul, Ermawati, Wisnu Juliyanto, Andreas, and Meilda Wiguna. "Adoption of e-government by Indonesian state universities: An application of Technology Acceptance Model." Problems and Perspectives in Management 20, no. 1 (March 21, 2022): 396–406. http://dx.doi.org/10.21511/ppm.20(1).2022.32.
Full textAbstract:
E-government is the use of internet platforms to deliver governmental services to citizens with the goal of improving government efficiency, transparency, and participation. This study aims to find out what factors determine the rate at which public university in Indonesians accept e-government services. This study uses the Technology Acceptance Model (TAM). TAM is a traditional model of technology diffusion that is an essential conceptual criterion. It drives acceptance consisting of perceived usefulness and perceived ease of use. The results of this paper back up the original TAM hypothesis. Based on the data collected and analyzed, the study concludes that three influencing factors, namely perceived usefulness (PU), perceived ease of use (PEU), and perceived risk (PR), are significantly related to the intention to use e-commerce government. However, trust and social influence do not significantly affect the intention to use e-government services. This paper has significant implications for policymakers and government officials who want to see the growth of e-government usage in Indonesia. When attempting to market a new online system from the perspective of human-computer interaction, it becomes evident that designers must consider how users perceive the risks.
26
Widyassari, Adhika Pramita, and Ahmad Sirojunnafis. "Pengembangan Sistem Informasi Antrian Pasien Menggunakan Technology Acceptance Model." JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer 2, no. 1 (December 1, 2023): 54–67. http://dx.doi.org/10.53624/jsitik.v2i1.319.
Full textAbstract:
Praktik Dokter Edi merupakan salah satu klinik kesehatan yang memberikan layanan manajemen pengelolaan informasi yang masih menggunakan sistem manual, termasuk dalam hal pendaftaran antriannya. Tentu satu proses ini merepotkan, membutuhkan waktu yang lama dan membuat ketidaknyamanan untuk pengguna baik pasien maupun petugas. Sehingga penelitian ini bertujuan untuk mengimplementasikan Technology Acceptance Model (TAM) dalam Sistem Informasi Antrian Pasien. TAM digunakan untuk menilai bahwa Sistem informasi antrian pasien yang dibangun apakah benar-benar sesuai dengan tujuan yang diharapkan atau tidak dengan memperhatikan persepsi dan sikap yaitu aspek kegunaan, aspek kemudahan, dan aspek sikap terhadap penggunaan sistem. Dari responden 20 orang, dengan menggunakan pengujian TAM didapatkan hasil rata-rata responden yang Sangat Setuju pada aspek kemudahan pengguna sebesar 61,67%, aspek kegunaan sebesar 63,75%, dan aspek sikap pengguna sebesar 60%.
27
Kim, Nurim, and Yong-Mi Jin. "Effect of Beauty Industry’s Blockchain Technology Characteristics on Acceptance Intention Based on Technology Acceptance Model." Journal of the Korean Society of Cosmetology 29, no. 4 (August 31, 2023): 912–24. http://dx.doi.org/10.52660/jksc.2023.29.4.912.
Full textAbstract:
Applications for blockchain technology span various industries beyond cryptocurrency, which is a popular topic in recent times due to high-profile events. Blockchain technology has several inherent characteristics such as variety, security, trustworthiness and decentralization. Due to such characteristics beauty industry is also embracing blockchain technology to conduct safer transactions, boost consumer confidence and more. However not enough research has been done on consumer’s intention to accept blockchain technology in beauty industry. Adapting to latest technological developments is crucial in today’s competitive and volatile business environments. A way to measure intention to accept technology is technology acceptance model (TAM), originally proposed by Davis in 1989. This research utilizes TAM to study consumer’s acceptance intention of blockchain technology in beauty industry to provide empirical data for encouraging further academic research and developing business strategies for accelerated adoption of blockchain technology in beauty industry.
28
Amoroso, Donald L., and Scott Hunsinger. "Measuring the Acceptance of Internet Technology by Consumers." International Journal of E-Adoption 1, no. 3 (July 2009): 48–81. http://dx.doi.org/10.4018/jea.2009092903.
Full textAbstract:
This research reviews studies using the Technology Acceptance Model (TAM) to create a modified model and instrument to study the acceptance of Internet technology by consumers. We developed a modified TAM for the acceptance of Internet-based technologies by consumers. We retained the original constructs from the TAM and included additional constructs from previous literature including gender, experience, complexity, and voluntariness. We developed a survey instrument using existing scales from prior TAM instruments and modified them where appropriate. The instrument yielded respectable reliability and construct validity. The findings suggest that the modified TAM is a good predictor of consumer behavior in using the Internet. We found that attitude toward using the Internet acts as a strong predictor of behavioral intention to use, and actual usage of Internet technologies. Future researchers can use the resultant instrument to test how consumers adopt and accept Internet-based applications.
29
Park, Kunsoon, Narang Park, and Wookjae Heo. "Factors Influencing Intranet Acceptance in Restaurant Industry: Use of Technology Acceptance Model." International Business Research 11, no. 10 (September 20, 2018): 1. http://dx.doi.org/10.5539/ibr.v11n10p1.
Full textAbstract:
This study examines factors influencing the user acceptance of intranets in the restaurant industry. The study uses the application of the technology acceptance model (TAM) in explaining intranet usage in restaurant operations. The TAM is an exceptional model for which to predict system usage and has been successfully applied to numerous technologies. The original model was modified to include two independent variables: organization support and information quality. The survey collected data from restaurants in the United States. The results of the study showed that perceived usefulness was the main factor influencing intranet acceptance, while organization support, information quality, and perceived ease of use were not significant in the regression analysis. The findings indicate perceived usefulness of intranet use requires focus in order to improve communications in restaurant franchise systems.
30
Koul, Sahil, and Ali Eydgahi. "Utilizing Technology Acceptance Model (TAM) for driverless car technology Adoption." Journal of technology management & innovation 13, no. 4 (December 2018): 37–46. http://dx.doi.org/10.4067/s0718-27242018000400037.
Full text
31
Faizah, Silviana Nur, Lia Nur Atiqoh Bela Dina, Ari Kartiko, Muhammad Anas Ma`arif, and Moch Sya'roni Hasan. "Student Acceptance Study of PhET Simulation with an Expanded Technology Acceptance Model Approach." Journal of Applied Engineering and Technological Science (JAETS) 5, no. 1 (December 10, 2023): 279–90. http://dx.doi.org/10.37385/jaets.v5i1.3041.
Full textAbstract:
Phet simulation is a computer-based practicum simulation medium that helps to increase students’ engagement and understanding through concept visualization. Even though there have been numerous studies on the Technology Acceptance Model (TAM) related to Phet simulation, the TAM study of Phet simulation combined with certain learning methods is rarely observed. We propose an advanced version of TAM by including the external variables of system quality, user characteristics, and instructor. This study is a quantitative design with a descriptive, explanatory type. This model was tested using an online questionnaire disseminated to 49 students that finished taking basic natural sciences subjects using Phet simulation based on problem-based learning. The result showed that system quality has an effect on perceived usefulness, perceived ease of use has an effect on behavioral intention of use, behavioral intention of use has an effect on actual usage, and there is no relationship between instructor quality on perceived usefulness. Grit on perceived ease of use, learner anxiety, and perceived usefulness on the behavioral intention of use. These findings have implications regarding user acceptance of Phet simulation combined with certain learning methods, specifically problem-based learning.
32
Cavus, Nadire, Babatomiwa Omonayajo, and Melissa Rutendo Mutizwa. "Technology Acceptance Model and Learning Management Systems: Systematic Literature Review." International Journal of Interactive Mobile Technologies (iJIM) 16, no. 23 (December 8, 2022): 109–24. http://dx.doi.org/10.3991/ijim.v16i23.36223.
Full textAbstract:
As the Internet has evolved rapidly, Learning Management Systems in recent years, particularly during the pandemic era, have become increasingly popular and can effectively override time and gives people new insights into the education field. A substantial amount of research was performed on a Technology Acceptance Model (TAM) framework and popularity in Learning Management Systems, in general, was indicated. However, there are gaps in established awareness of representative academic literature that form the basis of research in LMS and TAM. The summary of the current research effort on TAM implementation in the area of LMS is the main objective of this systematic literature review. This systematic literature review found 21 related studies between 2010 and 2020 based on the aim of this research through the systematic search of the most popular scientific databases. We hope that the findings of the review will inspire institutional administrators and users to recognize the factors that influence the quality and effectiveness of the use of LMS by TAM.
33
Yu, Zhonggen. "Visualizing Co-citations of Technology Acceptance Models in Education." Journal of Information Technology Research 13, no. 1 (January 2020): 77–95. http://dx.doi.org/10.4018/jitr.2020010106.
Full textAbstract:
With the rapid development of information and communication technologies, studies devoted to technology-assisted education have been soaring up. Nevertheless, the studies on technology acceptance model (TAM) appear relatively fewer. This study, through reviewing high quality papers, analyzed the co-citations of TAM on the basis of the basic TAM and numerous extended TAMs. Co-citations of TAM were revealed and discussed in terms of citation counts, bursts, betweenness centrality, and sigma. It also reviews the basic concept underlying user acceptance models, as well as its extended TAMs in details. Future research into the TAM may resort to statistical support, as well as critical analysis. The interdisciplinary research design is also needed between computer science, education, psychology, statistics and mathematics.
34
Sun, Fangmin. "Review of service robot technology acceptance model research." International Journal of Mechanical and Electrical Engineering 1, no. 1 (December 30, 2023): 32–38. http://dx.doi.org/10.62051/ijmee.v1n1.04.
Full textAbstract:
With the continuous progress of science and technology, service robots have gradually penetrated into various industries, including catering, travel, home and medical fields. The rapid development of this technology has attracted wide attention in today's society, involving artificial intelligence, machine learning, and human-computer interaction, and has brought major changes to our lives and work. However, the adoption of new technologies is not always smooth, and the level of acceptance varies. This paper takes the technology acceptance model (TAM) and its derivative model as the theoretical framework to deeply explore the factors that affect the acceptance of service robots. Various factors revealed by TAM technology acceptance model and its derivative model will be discussed in depth respectively. This study will help to reveal all possible factors that affect user acceptance of service robots, such as functional elements, emotional elements and users' own characteristics, for future research.
35
Ilmi, Mainatul, Fetri Setyo Liyundira, Afria Rachmawati, Deni Juliasari, and Palupi Habsari. "Perkembangan Dan Penerapan Theory Of Acceptance Model (TAM) Di Indonesia." RELASI : JURNAL EKONOMI 16, no. 2 (July 29, 2020): 436–58. http://dx.doi.org/10.31967/relasi.v16i2.371.
Full textAbstract:
The article tellsabout model of technology acceptance. A system used by the end user necessary to test whether the system effectively and efficiently can be applied by user. Technology Acceptance Model (TAM) adopted the Theory of Reasoned Action (TRA) that is widely used to predict the acceptance and usefulness of the system information. TAM usesa comparison between the Theory of Reasoned Action (TRA) and the Theory of Planned Behavior (TPB). TAM is designed to predict the acceptance or use of information systems by usersand profit for a job. An acceptance of the theory of information systems began to be implemented in Indonesia from 2004 until today, which adopts the model proposed Davis et al in 1989. The theory was apparently accepted by the public to assess the acceptance of a system by the user based on its core construct perceived Ease of Use (PEOU) and perceived usefulness (PU). In Indonesia some researchers are implementing TAM 1989 at different locations, in various sectors as well as the time and different situations by using several different methods of analysis in each study. A significant result of variables in TAM lead this theory can be applied further in other information systems in Indonesia in addition to that already done the research for TAM is very easyto apply and be accepted by the public in a variety of sectors, namely in the public sector, business or private.
Keywords: Technology Acceptance Model (TAM), perceived Ease of Use, perceived usefulness, system information
36
Natakusumah, Kameswara, Erna Maulina, Anang Muftiadi, and Margo Purnomo. "Integrating religiosity into a technology acceptance model for the adoption of mobile payment technology." International Journal of Data and Network Science 7, no. 1 (2023): 305–12. http://dx.doi.org/10.5267/j.ijdns.2022.10.003.
Full textAbstract:
This research studies the effects of the religiosity on financial technology (fintech) adoption. The study examines religiosity as part of the Technology Acceptance Model (TAM) dimensions for the adoption of mobile payment technology. We explore the role of religiosity in TAM and recommend several policies for related organizations. The study uses professional sample calculation from 113 traditional markets under Perumda Pasar Jaya as a business entity whose capital is wholly or mostly owned by the regional government through regional assets of DKI Jakarta Province, Indonesia, which use mobile payment technology. We obtained 363 respondents from June 2020 to June 2021, coinciding with the Covid-19 pandemic. Hypothesis testing was done employing SmartPLS 3.2.9 software and questionnaires. The study also adapts previous studies to ensure the questionnaires are relevant to the research objects. The research result show that religiosity explained the formation of TAM by small businesses in traditional markets under Perumda Pasar Jaya Management. Religiosity and the adoption of mobile payment technology determined whether a user used fintech or not. As the research period was limited to June 2020 - June 2021, including field research in the traditional markets, newer TAM mobile payment technology development and other TAM mobile payment-based research were not included. This research offers a new TAM development model using religiosity for mobile payment adoption in traditional markets.
37
Lestara Permana, Gusi Putu, Satria Yogananda, and I. Gusti Ngurah Darma Paramartha. "Prediksi Penerimaan Layanan Insurance Technology (Insurtech) Dengan Menggunakan Technology Acceptance Model (TAM)." Widya Akuntansi dan Keuangan 6, no. 2 (July 27, 2023): 149–62. http://dx.doi.org/10.32795/widyaakuntansi.v6i2.4054.
Full textAbstract:
This study aims to determine the effect of perceived convenience, perceived usefulness, perceived risk, and partial relative advantage on acceptance of Insurance Technology (Insurtech) services. The sample in this study were 80 people. From the research results, it was found that perceived ease of use had a significant positive effect on acceptance of Insurance Technology (Insurtech) services, perceived usefulness had a significant positive effect on acceptance of Insurance Technology (Insurtech) services, perceived risk had a significant negative effect on acceptance of Insurance Technology (Insurtech) services, and relative advantage significant positive effect on acceptance of Insurance Technology (Insurtech) services. Suggestions that can be given as material for further research are hoped to be able to add other variables that can affect acceptance of Insurance Technology (Insurtech) services such as the influence of external variables on previous experience, subjective norms and so on. Due to the nature of this research, the influence of independent variables with the dependent variable is only 43 .2%.
38
Fedorko, Igor, Radovan Bacik, and Beata Gavurova. "Technology acceptance model in e-commerce segment." Management & Marketing 13, no. 4 (December 1, 2018): 1242–56. http://dx.doi.org/10.2478/mmcks-2018-0034.
Full textAbstract:
Abstract Consumer behaviour analysis is a key aspect for the success of e-business. The main objective of the study is to analyse the impact of selected user experience factors on e-commerce web site visiting (technology). The objective of the study is to create a model that will explain the impact of each major factor on the user experience and the re-visit of the e-shop. To explain the use of e-commerce technology, in the second part we have modified the original technology acceptance model (TAM) with other constructs. Specifically, there are modern technologies such as social networks or mobile apps that affect the use of e-shops. The TAM model is one of the most used models of what the system uses to identify the perceived usefulness and perceived simplicity of use from the user’ side. For the main advantage of our study, we consider that we have highlighted the importance of the factor of modern technology and therefore of social networks, mobile applications and contextual advertising. This factor, along with the other two factors, has been incorporated into our model and has shown that modern technologies have a direct impact and are therefore directly related to the frequency using the e-commerce websites.
39
Darsono, Licen Indahwati. "Examining Information Technology Acceptance by Individual Professionals." Gadjah Mada International Journal of Business 7, no. 2 (June 12, 2005): 155. http://dx.doi.org/10.22146/gamaijb.5576.
Full textAbstract:
The mixed results of information technology (IT) investment have made the investigation of user acceptance of IT increasingly challenging. A growing body of research in user acceptance of IT literature has limited focus on individual professionals as target users. Therefore, this research investigates how external variables, namely individual differences and system characteristics influence lecturers as individual professionals to accept the internet technology. Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) are used as the main reference in this research. Findings of this research indicate that individual differences (computer self-efficacy, knowledge of search domain) and system characteristics (terminology, screen design, relevance) have indirect impact through perceived ease of use, perceived usefulness, and attitude on lecturers’ intention to use the internet. Specifically, computer self-efficacy and screen design have direct and indirect impact on intention. One issue concerning with the explanatory power of the proposed research model, which is based on TAM and TPB, compared to the rival model, which is called extended TAM, is also analyzed.
40
Md Isa, Mohd Hafzi, Baba Md Deros, and Khairil Anwar Abu Kassim. "A Review of Empirical Studies on User Acceptance of Driver Assistance Systems." GATR Global Journal of Business Social Sciences Review 3, no. 3 (August 2, 2015): 39–46. http://dx.doi.org/10.35609/gjbssr.2015.3.3(5).
Full textAbstract:
Objective - This paper presents a review of empirical research on technology acceptance with regards to driver assistance systems referred from 17 published studies. In addition to evaluating various behavioural science theories and models such as Technology Acceptance Model (TAM), other proposed variables that influence acceptance and usage of such technologies, potential limitations and gaps have also been analysed and evaluated. Methodology/Technique - Multiple electronic databases have been thoroughly searched for relevant empirical studies based on specified criteria and defined keywords. Findings - The results indicate that TAM indeed is a very useful model and mostly used; however, to better understand the user acceptance toward driver assistance systems, additional factors need to be included in order to complement the existing constructs in TAM. Novelty - it is essential to understand the concept of technology acceptance as it can assist in setting up priorities during the initial stages of product development and policy making Type of Paper - Conceptual Keywords: acceptance; driver assistance systems; car technology acceptance model; CTAM; technology acceptance model; TAM.
41
Christian, Ade. "EVALUASI PENERAPAN INVENTORY SYSTEM MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM)." Jurnal Pilar Nusa Mandiri 15, no. 1 (March 17, 2019): 119–24. http://dx.doi.org/10.33480/pilar.v15i1.401.
Full textAbstract:
This research aim was to evaluate and analyze Inventory System implementation using the Technology Acceptance Model (TAM). The data used in this research are primary data and secondary data, collected using several data collection techniques, such as observation, interviews, questionnaires, and literature review. The variables in this research are Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using, Perceived Enjoyment, Acceptance of IT. Processing and analysis of data in this research were using descriptive statistical analysis and simple linear regression analysis, which done by the support of the Application SPSS version 21. The results of this research are as follows 1) perceived ease of use Inventory System has given a positive and significant influence on Perceived Usefulness. 2) Perceived Usefulness Inventory System has given a positive and significant influence on user’s attitude. 3) Perceived Ease of Use has given positive and significant influence on the user’s attitude. 4) Perceived Enjoyment has given positive and significant influence on the user’s attitude. 5) Perceived Usefulness has given a positive and significant influence on the acceptance of IT. 6) Perceived Ease of Use has given positive and significant influence on the acceptance of IT.
42
Saptomo, Wawan Laksito Yuly, and Elistya Rimawati. "Path Analisis Technology Acceptance Model pada Penerapan Blended Learning." Jurnal Sains dan Informatika 6, no. 2 (November 30, 2020): 130–38. http://dx.doi.org/10.34128/jsi.v6i2.235.
Full textAbstract:
Model pembelajaran Blended Learning adalah sistem yang mengkolaborasikan pembelajaran tatap muka kelas dengan pembelajaran online memanfaatkan E-Learning. Penelitian ini bertujuan untuk mengukur tingkat penerimaan dan perilaku peserta didik terhadap teknologi dari model pembelajaran Blended Learning. Variabel yang dikembangkan merujuk pada Technology Acceptance Model (TAM), yaitu model penerimaan pengguna terhadap sistem informasi. Model TAM dikembangkan dari teori psikologis yang menjelaskan bahwa perilaku pengguna sistem berlandaskan pada kepercayaan, sikap, keinginan, dan hubungan perilaku pengguna. Data yang diperoleh dianalisis hubungan struktur variabel dengan Structural Equation Modeling (SEM) menggunakan metode Partial Least Square (PLS). Berdasarkan hasil Analisa PLS dan Boostraping diperoleh nilai Pengaruh Langsung, Pengaruh Tidak Langsung, dan Pengaruh tidak langsung sesuai jalur spesifikasi melalui variabel intervening (Spesific Indirect Efect).
43
Lee, Steventri Sontrust, and Wella Wella. "Analisis Technology Acceptance Model Penggunaan E-Learning pada Mahasiswa." Ultima InfoSys 9, no. 2 (March 19, 2019): 70–78. http://dx.doi.org/10.31937/si.v9i2.913.
Full textAbstract:
Penelitian ini bertujuan untuk mengetahui faktor yang memengaruhi penggunaan elearning.umn.ac.id pada mahasiswa melalui kerangka Technology Acceptance Model (TAM). Terdapat lima konstruk asli dari TAM yang digunakan dalam penelitian ini, antara lain persepsi kegunaan (PU), persepsi kemudahan penggunaan (PEOU), sikap terhadap penggunaan (ATU), minat perilaku (BI), dan penggunaan senyatanya (AU). Terdapat pula tiga konstruk eksternal yang digunakan dalam penelitian ini, antara lain keyakinan individu (SE), aksesibilitas sistem (SA), dan kualitas sistem (SQ). Hasil yang didapatkan pada penelitian ini menemukan tingkat penerimaan dan penggunaan e-learning UMN pada mahasiswa dengan menggunakan faktor internal (perceived usefulness, perceived ease of use, attitude toward using, behavioral intention, actual use) dan faktor eksternal (self-efficacy, system accessibility, system quality) TAM sudah tinggi. Perceived ease of use tidak memiliki hubungan apapun terhadap faktor-faktor yang lain, sehingga apabila faktor perceived ease of use ditingkatkan maka tidak akan terjadi pengaruh apapun terhadap actual use, meskipun didukung dengan faktor system accessibility. Adapun pengaruh positif signifikan yang dimiliki semua pasangan variabel memiliki sifat pengurangan nilai, sehingga jika sebuah faktor independen memiliki peningkatan skor sebanyak n, maka faktor dependen yang memiliki hubungan terhadap variabel independen tersebut ikut mengalami peningkatan skor namun mengalami penurunan nilai dengan besar n sejumlah dengan nilai koefisien total pengaruh yang dimilikinya.
44
Oktaria, Rini, Sunny Angelia Naibaho, Iskandar Muda, and Sambas Ade Kesuma. "Factors of acceptance of e-commerce technology among society: integration of technology acceptance model." Brazilian Journal of Development 10, no. 1 (January 3, 2024): 118–30. http://dx.doi.org/10.34117/bjdv10n1-008.
Full textAbstract:
This paper discusses the factors of Acceptance of E-commerce technology among society. It uses Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines to articles published in 2015-2023. This study involved an analysis of 150 papers from various database sources, and 26 papers were selected as data references for this study. As the results, there are three main quantitative and qualitative analysis which being observed as part of the Technology Acceptance Model (TAM) integration to examine the factors involved in the acceptance of e-commerce technology among society.
45
Cooshneapa, Rishi, and Sean Hackett. "Testing an Addition to the Technology Acceptance Model (TAM)." Academy of Management Proceedings 2019, no. 1 (August 1, 2019): 18859. http://dx.doi.org/10.5465/ambpp.2019.18859abstract.
Full text
46
Setiawan, Adi, and Lisa Harry Sulistiowati. "PENERAPAN MODIFIKASI TECHNOLOGY ACCEPTANCE MODEL (TAM) DALAM E-BUSINESS." Jurnal Manajemen dan Pemasaran Jasa 10, no. 2 (March 27, 2018): 171. http://dx.doi.org/10.25105/jmpj.v10i2.2277.
Full textAbstract:
<p><em>This study analyzed SMEs batik entrepreneurs in Cirebon to apply e-business. The TAM3 theory is used to create an analytical model in understanding the desires of the entrepreneur. The desire to use technology is due to the perception of the level of ease of use. The easier the user perception, the higher the ability to see the usefulness of technology, and the easier the perception of usage, the higher desire to utilize technology.</em><em> </em><em>The analysis result shows that </em>perceived ease of use<em> is in medium and low category.</em><em> </em>Perceived usefulness<em> </em><em>is in the high and medium category.</em><em> </em><em>The desire to </em>behavioral intention to use<em> is in the medium and low category. The result of hypothesis testing shows the perception of ease of influence perception of usefulness. Furthermore, perceptions of usefulness affect the desire to use technology in business activities. The test result shows the perception of ease that doesn’t give a direct significant influence to the desire to use technology.</em></p>
47
Laulio, Alwin, Benny Daniawan, Suwitno Suwitno, and Andri Wijaya. "E-Commerce Coffepedia with Technology Acceptance Model (TAM) Testing." bit-Tech 5, no. 2 (December 14, 2022): 90–102. http://dx.doi.org/10.32877/bt.v5i2.593.
Full textAbstract:
Coffee is one of the plantation commodities that has an important role in economic activities in Indonesia. Coffee is also one of Indonesia's export commodities which is quite important as a foreign exchange earner in addition to oil and gas. As a producer, Indonesia occupies the fourth position while as a consumer Indonesia is in seventh place, and coffee connoisseurs in Indonesia are growing rapidly at 8% for the development of coffee connoisseurs in Indonesia while the development of coffee connoisseurs in the world is only 6%. With the increase in coffee drinkers in Indonesia, the level of sales of coffee powder will also increase. In this study, the system was designed to facilitate the sale of coffee powder using prototyping methodology and the Technology Acceptance Model (TAM) for testing method. The purchasing system can make it easier and provide convenience for buyers and sellers in Indonesia. Based on the TAM test that has been carried out on 79 respondents, it shows the results that Attention to Use (ATU) affects Behavioral Intention to Use (BITU) by 4.427, Behavioral Intention to Use (BITU) affects Actual System Usage (ASU) 16.511, Perceived Ease of Use (PEOU) affects Attention to Use (ATU) by 3.130, Perceived Usefulness (PU) affects Attention to Use (ATU) by 6.712, and PU affects BITU by 4.692.
48
Nugroho, Alfin, and Yordan Hermawan Apidana. "ANALISIS TECHNOLOGY ACCEPTANCE MODEL (TAM) PADA APLIKASI E-LEARNING." Journal of Digital Business and Management 2, no. 2 (September 2, 2023): 64–72. http://dx.doi.org/10.32639/jdbm.v2i2.397.
Full textAbstract:
One of the interesting things to research is how well the use of e-learning as a learning method in higher education. The Technology Acceptance Model (TAM) method is used in this study to evaluate the level of acceptance of e-learning as a learning medium applied in educational institutions.
This research is a quantitative research. The population in this study were all students of Universitas Putra Bangsa who had used e-learning-based learning media in lectures. In this study, the sample was taken by purposive sampling. The number of respondents in this study were 100 respondents. Data collection used in this study was by using a questionnaire. While the analysis tool in this research uses multiple regression analysis using SPSS software.
Based on data analysis shows that: perceived usefulness has a positive effect on interest in using e-learning, perceived convenience has a positive effect on interest in using e-learning, perceived usefulness and perceived convenience together affect interest in using e-learning.
From the results of data analysis in this study, the authors suggest that the Putra Bangsa University institution be able to continue to increase the perception of usefulness and continue to maintain the perception of student ease of use of e-learning learning media.
49
Herlina, Johanes Fernandes Andry, and Filbert Marcellus Susanto. "Analisis Deskriptif Perilaku Konsumen Shopee: Technology Acceptance Model (TAM)." Journal of Technology and Informatics (JoTI) 4, no. 2 (April 12, 2023): 63–68. http://dx.doi.org/10.37802/joti.v4i2.318.
Full textAbstract:
Shopee merupakan salah satu perusahaan e-commerce dari Singapura. Shopee sebagai salah satu apliasi e-commerce mobile dimana para pengguna aplikasi dapat melakukan kegiatan menjelajah, jual maupun beli secara praktis dan cepat serta bisa dilakukan kapanpun dan dimanapun melalui aplikasi yang berada didalam perangkat mobile yang dimiliki. Ada beberapa faktor yang wajib dipenuhi oleh aplikasi agar tercipta layanan lingkungan berbelanja yang mudah dan aman. Walaupun nama Shopee sendiri bisa dibilang terkenal dan sudah memiliki nama yang besar, tentunya akan tetap ada kemungkinan pengguna aplikasi merasa dikecewakan oleh layanan yang diberikan oleh aplikasi. Dalam usaha untuk meningkatkan kenyaman serta keamanan dalam menggunakan aplikasi mobile Shopee maka perusahaan perlu melakukan pengukuran untuk mengetahui faktor mana yang akan memberikan pengaruh terhadap sikap penerimaan para pengguna aplikasi. Jenis penelitian ini deskriptif kuantitatif, pengambilan sampel secara random sampling sehingga jumlah sampel sebanyak 41 responden dan data penelitian ini merupakan data sekunder. Hasil penelitian ini perilaku pengguna Shopee masuk dalam katagori yang sangat bagus meliputi Perceived ease to use (85,73%), Perceived usefulness (84,55%), Trust (81,14%), Behaviour intention to use (80,98%), Attitude toward using (83,17%).
50
Brezavšček, Alenka, Petra Šparl, and Anja Žnidaršič. "Extended Technology Acceptance Model for SPSS Acceptance among Slovenian Students of Social Sciences." Organizacija 47, no. 2 (May 1, 2014): 116–27. http://dx.doi.org/10.2478/orga-2014-0009.
Full textAbstract:
Abstract Background and Purpose - IBM SPSS Statistics is among the most widely used programs for statistical analysis in social sciences. Due to many practical values it is frequently used as a tool for teaching statistical concepts in many social science university programs. In our opinion, motivation to learn and to use SPSS during the studying process plays a significant role in building a positive attitude towards SPSS which influences its usage at the professional level after finishing study. Design/Methodology/Approach - The aim of this paper is the development of the model for analysing the acceptance of the SPSS among university students of social sciences. The model is based on the widely known Technology Acceptance Model (TAM). In addition to the traditional components of the TAM, six external variables were included. The model is tested using the web survey on the university students of social sciences from seven faculties at three Slovenian universities. Results - The evaluation of the questionnaire was performed. Descriptive statistics were calculated. The dependencies among the model components were studied and the significant dependencies were pointed out. Conclusion - The results of the empirical study prove that all external variables considered in the model are relevant, and directly influence both key components of the traditional TAM, ≫Perceived Usefulness≪ and ≫Perceived Ease of Use≪. Therefore, our model is useful to study the adoption and continuous utilization of SPSS among the students of social sciences. The obtained results are useful for educators, and can help them to improve the learning process.