Relevant bibliographies by topics / Technology Acceptance Model (TAM)

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Academic literature on the topic 'Technology Acceptance Model (TAM)'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2024

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Journal articles on the topic "Technology Acceptance Model (TAM)"

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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.

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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.
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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.

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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%.
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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.

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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.
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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.

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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
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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.

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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.
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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.

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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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
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Dissertations / Theses on the topic "Technology Acceptance Model (TAM)"

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Zambelli, Nicole, and n/a. "Technology acceptance in modern organisations : the role of past behaviour and perceived behavioural control." University of Canberra. Human & Biomedical Sciences, 2001. http://erl.canberra.edu.au./public/adt-AUC20061112.114544.

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New information systems will only improve organisational performance if they are accepted and used to their full capacity. It is therefore important to be able to understand, explain and predict the factors affecting technology acceptance. One model which has been successful at this is the Technology Acceptance Model (TAM; Davis, 1986). This study tests an extension of the TAM in a mandatory usage environment. The extended TAM proposed here incorporates two new independent measures; past behaviour and perceived behavioural control. Participants were 285 members of an Australian Government Department who had been using a new information system for approximately 4 months. Usage of the system was mandated in organisational policy and there were no alternative systems or processes available to participants to complete their job requirements. Results indicate that when information system usage is mandatory (or nonvolitional) perceived behavioural control significantly increases the ability of the extended TAM to predict system acceptance behaviour. Furthermore, self-reports of system usage were not related to the participants intention to use the system and user satisfaction was the only dependent variable accurately predicted by the model. Past behaviour did not predict either behavioural intention or behaviour in this study. The implications of these findings for technology acceptance in modern organisations and areas for future research are discussed.
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Langa, GZ, and DP Conradie. "Perceptions and attitudes with regard to teleworking among public sector officials in Pretoria: applying the Technology Acceptance Model (TAM)." Unisa Press, 2003. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001859.

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Abstract The research described in this article can be described as an explorative study that focused on obtaining and analysing perceptions and attitudes of public sector officials in Pretoria regarding the possible introduction of teleworking in their working environment. The term teleworking was understood in the sense of using computers to work from home or working at a distance away from the office. The research question that was posed was: What perceptions and attitudes exist among public sector officials in Pretoria that could contribute to, or impede, the acceptance of teleworking in South African government departments? Specific attention was given to perceptions of possible benefits or other impacts of teleworking, indications of public sector officials' ability to use computers for teleworking purposes, attitudes toward computers and teleworking, and the behavioural intention to use teleworking in future. The questionnaire and results were structured along the lines of the Technology Acceptance Model (TAM) of Davis. It was found that there was firm support among the officials for public sector teieworking - especially in terms of those views and perceptions that served as indicators for relevant TAM constructs such as 'perceived ease of use regarding teleworking', 'perceived usefulness of teleworking', 'attitude toward teleworking' and 'intention to use teleworking'.
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Compton, Shane M., and n/a. "Information technology implementation and acceptance: a case study of change management." University of Canberra. Applied Science, 2002. http://erl.canberra.edu.au./public/adt-AUC20050331.145848.

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The implementation of a new Information Technology in an organization represents a significant change. Little research, however, has been conducted on the collective power of Information Technology acceptance and change management. The current research seeks to integrate a prominent model of technology acceptance and change management theory to develop an holistic approach to Information Technology implementation and acceptance. Using Davis' (1989) Technology Acceptance Model (TAM) (Attitude) and Beer, Eisenstat and Specter's (1990) six step model of change (Change), this three phase longitudinal case study examined the change management of the implementation of a new Information System within a statutory authority. Results from the current study show that the addition of the six step model (Change) adds appreciably to the TAM (Attitude) in the prediction of general service satisfaction and perceived implementation success. Findings also show the temporal salience of the factors of the six step model and the TAM in the prediction of these dependent variables. The current research supports previous work by Davis (1989) and Thompson, Higgins and Howell (1994) who stated that initially people are motivated to use an Information System by affect, but will in time be more concerned with usefulness as habit formation occurs. The current study found that during the pre-implementation phase, commitment through communication and vision are critical to the change process. However, as the change moves into the implementation phase, consensus becomes most important. The shift in factors salient during the change process is what the author refers to as the temporal progression proposition. Strengths and limitations of the current study and recommendations for future research are discussed.
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Faltin, Viktor, and Erdyni Garmaev. "Digitaliseringen av svensk bankverksamhet : Om prisets påverkan av kundernas val." Thesis, Högskolan i Gävle, Företagsekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-23421.

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Syfte: Syftet med denna studie är att undersöka om faktorn pris påverkar konsumenter vid användning av bankens digitala tjänster. Metod: Vår studie är baserad på en kvantitativ forskningsmetod, som genomfördes medwebbaserade enkäter. Av de 164 påbörjade enkäterna, fick vi ut 162 representativa svar.Av insamlad empirisk data gjorde vi sedan en korrelationsanalys med hjälp avprogrammet SPSS. Analys: Studien visar att variabeln pris har en påverkan på kunder i valet av att användabankernas digitala tjänster. Pris tenderar att bli mindre framträdande då kunden uppleverett högt PU (upplevd användbarhet) eller PEOU (upplevd användarvänlighet). Förslag på vidare forskning: En replikation av denna studie hade varit intressant att semed ett annat urval. Vid genomförandet av denna studie har vi använt oss av ettbekvämlighetsurval, där större delen av respondenterna haft tidigare erfarenhet avinternetbanken. Teoretiskt och Praktiskt bidrag: Studien tydliggör att priset har en betydelse föracceptansen av ny teknologi, i detta fall internetbanken. Prisets betydelse är större hosde respondenter som inte tidigare haft någon erfarenhet av teknologin. Nyckelord: Internetbank, Technology acceptance model, TAM, Pris, Icke-monetärakostnader
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Zeneli, Egzona. "Hur påverkas du av dina kollegor? : En kvalitativ studie om socialt inflytande vid accepterande av ny teknologi." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17449.

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Problematiska delen som organisationer har är att veta hur man på bästa sätt ska implementera nya teknologier. Teknologiacceptans blev en känd term av den mest applicerade teoretiska modellen inom informationssystem Technology acceptance model – TAM. Teknologiacceptans innebär det positiva beslutet att använda sig av en teknologi och inom denna studie kommer fokus ligga på socialt inflytande inom teknologiacceptans. Socialt inflytande innebär mellanmänsklig övervägande faktor vid beslut, vilket tar hänsyn till att beslutet att acceptera ny teknologi görs oftast tillsammans i grupp eller hur individens beslut gör så att de passar in i gruppen eller hur beslutet påverkar andra personer. En undersökning gjordes för att undersöka följande frågeställning: Hur påverkar socialt inflytande teknologiacceptansen för obligatoriska system? Frågan har undersökt genom en enkät som användes för att få en överblick i problemområdet vilket sedan blev grunden för intervjufrågorna. Totalt deltog 12 stycken personer inom enkäten och 4 stycken inom intervjun. Sammanfattningen av resultatet bildades rekommendationer som organisationer kan tänka på innan de påbörjar införandet av ny teknologi inom organisationen.
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MacMillan, Richard Scott. "Examining the Adoption of Donor Management Systems in Not-for-Profit Organizations with an Extended Technology Acceptance Model." NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/223.

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Two decades of technological advances in internet, security, wireless, social media and networking technologies have introduced the most promising NFP systems - donor management systems (DMS). The number of DMSs available in the marketplace as well as the breadth of their feature and functionality offerings has grown tremendously to overcome NFP challenges which include program and service performance accountabil.ity, financial and operational transparency, and declines in funding sources. These systems enable NFP organizations to perform more intelligent campaigning and achieve a higher level of donor interactions resulting in greater monetary and voluntary contributions in addition to increases in donor and constituent advocacy and public support. Research indicates that NFP have experienced reduced operational and program costs, increased staff productivity, increased monetary contributions, when leveraging DMSs as part of a comprehensive fundraising program. While NFP adoption of the systems is increasing, adoption rates are much lower when compared to the for-profit sectors adoption cycle for newer technologies. Adopting the technology acceptance model (TAM), this study examined the factors that determine health and human service NFP employees' behavioral intentions to use DMSs. The proposed models included the original TAM factors of perceived usefulness and ease of use and incorporated the additional factors of user experience and organizational support, which have been found to influence an individual's intention to use technology. The model's predictive capability was measured using multiple regression techniques against data captured via an electronic survey sent to 100 health and human service organizations in the Mississippi Delta region of the US. Results from the 173 participant responses indicated that perceived ease of use and DMS experience directly influenced user perceptions toward DMSs and their subsequent intention to use the systems. The findings further indicated that the factors of perceived usefulness, NFP experience, and Organizational support did not significantly extend the model in predicting behavioral intention. The research was not able to replicate typical predictive capabilities of the core TAM in the context of health and human services NFP organizations.
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Meli, Peggy. "PERSPECTIVES OF HEALTH INFORMATION MANAGEMENT FACULTY USE OF AN E-LEARNING LABORATORY AND TECHNOLOGY ACCEPTANCE." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4173.

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"As the delivery of healthcare has become more sophisticated, scientific, and complex, the need for HIM (Health Information Management) professionals at all levels has increased, and the role and status of those managing these functions has increased accordingly." (AHIMA, September 24, 2007). Studies by the Institute of Medicine and others have found suboptimal technology use throughout the healthcare industry. The American Health Information Management Association (AHIMA) developed the e-HIM Virtual Lab (V-lab) to train students in the use of new technology applications in response to IOM findings. Faculty are the gatekeepers for use of instructional technology in educational settings. Many disciplines have evaluated instructional technology use by students. There are very few studies on faculty use of instructional technology. There are no published studies of the determinant factors influencing health information management (HIM) faculty use of instructional technology. Therefore, the purpose of this study is to evaluate the faculty's attitude and behavior toward the use of the V-lab instructional technology. A non-random one group pretest posttest design was used to test the hypothetical Instructional Perception -Technology Acceptance Model (IP- TAM) for faculty perceptions regarding system functionality, usability and technology acceptance. The Path Analysis determined the strongest construct indicators for intent to use the V-lab were Perceived Usefulness (PU), Perceived Ease Of Use (PEOU), System Functionality and Usability (SFU). These findings support the recommendation for a collaborative examination of the existing V-lab systems to improve utilization and success.
Ph.D.
Department of Educational Research, Technology and Leadership
Education
Education PhD
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Eile, Paulina. "Faktorer för en förbättrad digitaliserad blankett : En studie baserad på the Technology Acceptance Model (TAM) och användbarhetstester." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76985.

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We live in a society that is becoming more and more digital, where new technologies revolutionize several industries, and technological advances go faster every day. There may be an understanding that companies and organizations want to keep up with this digitization and not fall behind. But what happens if companies go too fast without involving the people who actually use their systems and services? The purpose of this study was to find possible problematic factors in digitizing a form in a PDF format. This form is used for the purpose of enrolling a principal administrator to further log in on a corporate service at Fora AB, with BankID or mobile BankID. An additional purpose for the study was to create a new design proposal by creating a prototype. An empirical data collection has been conducted through usability tests that included interview questions and observation of use. The theoretical framework underlying the study is the Technology Acceptance Model (TAM) and its view on user acceptance. The study has resulted in a number of factors that leads the user not accept the system, these factors have formulated into three improvement areas; simple navigation, digitizing all the way and minimizing technical requirements.
Vi lever i ett samhälle som blir mer och mer digitalt, där nya tekniker revolutionerar flera branscher och den teknologiska utvecklingen går snabbare för varje dag. Det kan finnas en förståelse för att företagen och organisationerna vill hänga med i denna digitalisering och inte hamna efter. Men vad händer om företagen går för snabbt fram utan att involvera de människor som faktiskt ska använda deras system och tjänster? Denna studie har haft som syfte att finna eventuella problematiska faktorer i en digitalisering utav en blankett i PDF-format. Denna blankett används i syfte av att anmäla en huvudadministratör för att vidare kunna logga in på en företagstjänst på Fora AB, med BankID eller mobilt BankID. Ett ytterligare syfte för studien var att skapa ett nytt designförslag i form av en prototyp. En empirisk datainsamling har utförts genom användbarhetstester som inkluderade intervjufrågor samt observation av användning. Det teoretiska ramverket som legat till grund för studien är the Technology Acceptance Model (TAM) och dess syn på användaracceptans. Studien har resulterat i ett flertal faktorer som bidrar till att användaren inte accepterar systemet, dessa faktorer har formulerats till tre förbättringsområden; enkel navigation, digitalisera hela vägen samt minimera krav på teknisk kunskap.
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Siegel, Daniel. "ACCEPTING TECHNOLOGY AND OVERCOMING RESISTANCE TO CHANGE USING THE MOTIVATION AND ACCEPTANCE MODEL." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2448.

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This research analyzed why some university faculty resisted a new software program using a new model of motivation. The new model, called the motivation and acceptance model (MAM), was inspired by the technology acceptance model and the commitment and necessary effort model of motivation. This model was tested on faculty at a college in a large southeastern university who were resisting a new software program called LiveText. This research used regression analysis to determine the relationship between the variables of the MAM: perceived usefulness, perceived organizational support, perceived ease of use, and attitude toward LiveText. The research was conducted during the Spring 2007 semester. The data were analyzed with regression, independent-sample t-tests, and descriptive statistics using SPSS v15. This research demonstrates that the MAM accurately measured the relationship between professors' perceptions and their use of LiveText. The research also suggests that the perceived utility of LiveText and users' attitudes toward LiveText were statistically significant predictors of LiveText use and that perceived ease of use also predicted whether the professors found LiveText useful. Additional research should seek to develop a greater understanding of technology acceptance and employee resistance to innovations using larger sample sizes, a variety of environments and organizations, diverse populations, and different types of technologies and technology-implementation strategies.
Ph.D.
Department of Educational Research, Technology and Leadership
Education
Education PhD
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Park, Kunsoon. "User Acceptance of the Intranet in Restaurant Franchise Systems: An Empirical Study." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/30234.

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This research study examined the acceptance of the intranet in restaurant franchise systems. The widely accepted Technology Acceptance Model (TAM) developed by Davis (1986, 1989) was the basis for this study. TAM is an excellent model to predict information technology (IT) usage and is based on the Theory of Reasoned Action (TRA). Therefore, TAM was adopted in this study of intranet acceptance. Furthermore, this study attempted to see if the earlier results of TAM are still valid. The original model was modified to include one external variable, franchise support. Data were collected from franchise restaurant systems throughout the United States, excluding Alaska and Hawaii. Of 3,500 questionnaires distributed to individual users of intranet, 161 contained usable responses. The results of regression analysis confirm that TAM is valid for additional applications such as evaluating the intranet in restaurant franchise systems.
Ph. D.
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Books on the topic "Technology Acceptance Model (TAM)"

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Kamel, Sherif. Assessing the introduction of electronic banking in Egypt using the technology acceptance model. Hershey, PA: Idea Group Pub., 2003.

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The Technology Acceptance Model: 30 Years of TAM. Springer, 2020.

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Tan, Tio Boon. Technology Acceptance Model(TAM): A study of word processing usage in Singapore. 1996.

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Ortiz, Michael. Loss of Control and Technology Acceptance in Transformation: Acceptance and Design Factors of a Heuristic Model. Springer Fachmedien Wiesbaden GmbH, 2023.

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An Evaluation of GeoBEST Contingency Beddown Planning Software Using the Technology Acceptance Model. Storming Media, 2002.

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Power, Performance, and Perception (P3): Integrating Usability Metrics and Technology Acceptance Determinants to Validate a New Model for Predicting System Usage. Storming Media, 1999.

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Winkelman, Warren Jay. The technological transformation of self-care: A patient-driven adaptation of the technology acceptance model for evaluation of patient-accessible electronic medical records. 2006.

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SINGH, Dr PREETI. INFORMATION TECHNOLOGY. KAAV PUBLICATIONS, DELHI, INDIA, 2022. http://dx.doi.org/10.52458/9789391842499.eb.

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The book offers a global platform for the academia to elevate their image as internationally acclaimed scholars, as it reaches the nook and the corner of the globe online. Researchers can also ripe the benefit of enriching their study by submitting manuscripts to the editorial board that comprises scholars with proven abilities and established research track record. All the articles submitted for publication are subjected to rigorous single blinded peer review to ensure its quality before it gets published. Authors’ scholarly work undergoes critical scrutiny by experts in the same subject to check for scientific validity, relevance and accuracy. Upon getting the final approval from the editorial board members, their decision on acceptance or rejection will be informed via E-mail. The Book supports open access publishing model to maximize the visibility of the published research. Authors can track the article status from the Editorial Manager System of the Book which allows authors to submit article, track status and respond to reviewers’ comments and revision requests.
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Stańczykiewicz, Arkadiusz. Prawdopodobieństwo wystąpienia szkód w odnowieniach podokapowych wskutek pozyskiwania drewna oraz model ich szacowania. Publishing House of the University of Agriculture in Krakow, 2018. http://dx.doi.org/10.15576/978-83-66602-34-2.

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An analysis of the existing literature on the issue of damage to regeneration caused by timber harvesting, revealed that a great majority of results reported in those publications was obtained through laborious and time-consuming field research conducted in two stages. Field research methods for gathering data, employed by various authors, differed in terms of the manner of establishing trial plots, the accuracy of counting and evaluating the number of saplings growing on the investigated sites, classification systems used for distinguishing particular groups of regeneration based on quantitative (diameter at breast height, tree height) and qualitative features (biosocial position within the certain layer and the entire stand), classification systems used for identifying types of damage caused by cutting and felling, as well as transporting operations, and finally the duration of observation intervals and time spent on gathering data on the response of damaged saplings from both, the individual and collective perspectives. Obviously, the most reliable manner of gathering such data would be to count all damaged elements of the environment being a subject of interest of particular investigators at the certain point of time. However, due to time and work consumption of this approach, which is besides very costly, any research should be designed in such a manner as to reduce the above-mentioned factors. This paper aimed to (1) analyse the probability of occurrence of damage to regeneration depending on the form of timber assortments dragged from the felling site to the skidding routes, and timber harvesting technology employed in logging works, and (2) identify a method ensuring that gathered data is sufficient for performing reliable evaluation of share of damage to regeneration at acceptable accuracy level, without necessity to establish trial plots before commencing harvesting works. The scope of these studies enclosed a comparison between two motor-manual methods of timber harvesting in thinned stands, with dragging of timber in the first stage of skidding from the stand to landings. According to one of these methods, a classical one, operations of felling and delimbing of trees were carried out by sawmen at the felling site. Timber obtained using different methods was skidded by carters and horses, and operators of a light-duty cable winch, driven by the chainsaw’s engine, as well as operators of cable winches combined with farm tractors. In the latter, alternative method, sawmen performed only cutting and felling of trees. Delimbing and cross-cutting of trunks, dragged from the felling sites, was carried out by operators of processors combined with farm tractors, worked on skidding routes. The research was conducted in the years 2002–2010 in stands within the age classes II–IV mostly, located in the territories of Regional Directorates of State Forests in Krakow and Katowice, and in the Forest Experimental Unit in Krynica-Zdrój. In the course of a preliminary stage of investigations 102 trial plots were established in stands within early and late tinning treatments. As a result of the field research carried out in two stages, more than 3.25 thsd. circular sites were established and marked, on the surface of which over 25 thsd. saplings constituting the regeneration layer were inventoried. Based on the results of investigations and analyses it was revealed that regardless of the category of thinning treatment, the highest probability of occurrence of destroying P(ZN) to regeneration (0.24–0.44) should be expected when the first stage of timber skidding is performed using cable winches. Slightly lower values of probability (0.17–0.33) should be expected in stands where timber is skidded by horses, while in respect to processor-based skidding technology the probability of destroying occurrence oscillates between 0.12 and 0.27, depending on the particular layer of regeneration. P(ZN) values, very close to those of skidding technology engaging processors, were recorded for skidding performed using the light-duty cable winch driven by the chainsaw’s engine (0.16–0.27). The highest probability of damage P(USZK) to regeneration (0.16–0.31) can be expected when processors are used in the first stage of timber skidding. Slightly lower values of probability (0.14–0.23) were obtained when skidding was performed with the use of cable winches, whereas engaging horses for hauling of trunks results in probability of damage occnrrence oscillating between 0.05–0.20, depending on the particular layer of regeneration. With regard to the probability of occurrence of both, destroying and damage P(ZNUSZK) to regeneration (0.33–0.54), the highest values can be expected when cable winches are engaged in the first stage of skidding. Little lower (0.30–0.43) was the probability of their occurrence if processor-based technology of skidding was employed, while in respect to horse skidding these values oscillated between 0.27–0.41, depending on the layer of regeneration. The lowest values of probability of occurrence of damage P(USZK), and destroying and damage treated collectively P(ZNUSZK), within all layers of regeneration, were recorded in stands where thinning treatments were performed using the light-duty cable winch driven by the chainsaw’s engine. The models evaluated and respective equations, developed based on those models, for evaluating the number of destroyed saplings ZNha (tab. 40, 42, 44, 46, 48) could be used for determining the share of damage expressed as a percentage, upon conducting only one field research at the investigated felling sites, once the timber harvesting and skidding would have been completed. As revealed by the results of analyses, evaluation of statistically significant regression models was possible for all layers of regeneration (tab. 39, 41, 43, 45, 47). Nevertheless, the smallest part of these models that could be considered positively verified, were those for the natural young regeneration, although almost a half of them revealed to be significant. Within the medium-sized regeneration over three-fourths of all models could be considered positively verified, four of which explained more than 50% of variability. Within the high-sized regeneration almost two-thirds of evaluated regression models were statistically significant, five of which were verified positively, moreover, one of them explained more than 50% of variability. The most promising results were those obtained for the advance growth. Nearly 90% of the evaluated models revealed to be statistically significant, ten of which could be considered positively verified. Furthermore, four statistically significant models explained over 50% of general variability. With regard to the entire regeneration more than 80% of evaluated models were statistically significant. However, due to insignificant coefficients of regression, eight of them could be considered positively verified. At this point it should be stressed that in respect to logging technology employing the light-duty cable winch FKS it was impossible to evaluate statistically significant models of regression. Whereas, in the case of processor-based logging technology, firstly regarding the advance growth, and then the entire regeneration, all of the evaluated statistically significant models could be considered positively verified, in terms of both, all of the stands, and particular categories of thinning treatments individually. This latter case also revealed the highest degree of matching of evaluated models (R2 popr 0.73–0.76 for advance growth and 0.78–0.94 for the entire regeneration). A significant impact of the kind of form of hauled timber on the probability of damage occurrence P(USZK), mainly in early thinning treatments, could have been reflected in the results obtained for all stands (early and late thinning treated collectively). Moreover, due to an insignificant impact of the form of hauled timber and logging technology employed, on the probability of occurrence of damage in late thinned stands, and a significant impact of the above-mentioned variables on early thinned stands, it should be assumed that for performing an evaluation of destroying and damage caused by timber harvesting the both thinning treatment categories should be analysed separately. Furthermore, when evaluating the probability of occurrence of destroying and damage caused by timber harvesting, the layers of natural young regeneration and advance growth should be analysed separately. As proved by the results presented in this paper, varying values of probability computed for each of the layers of regeneration seem to indicate that when investigating damage to regeneration caused by timber harvesting, it would be reasonable and recommended to perform a separate analysis of damage to the highest saplings as well, namely individuals with diameter at breast height close to 7 cm. In respect to studies on damage to regeneration caused by logging technologies mentioned above, the evaluation of number of destroyed saplings within the advance growth can be carried out using the proportions of damaged and undamaged saplings per 1 ha of the stand. The numbers evaluated in this manner can be used to calculate the damage share expressed in relative values (percentage of damaged saplings compared with the entire number of saplings before commencing the logging works). However, one should keep in mind that this is true only if the field research have been carried out based on the methodology described in this paper.
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Michael, Furmston, Tolhurst G J, and Mik Eliza. 6 Problems of Intention and Consideration in Online Transactions. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198724032.003.0006.

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This chapter discusses issues concerning online transactions and points to further challenges. It commences with a broad discussion on the relationship between the two prerequisites of every contract: intention and consideration. It focuses on the difficulty of establishing intention and consideration in circumstances where the context of a particular online interaction is difficult to categorize as either commercial or social. Next, it deals with problems relating to the application of the offer and acceptance model in online transactions. Some basic questions are posed: Is there an offer? If so, what are its contents? Is there an acceptance? If so, when does it become effective? Throughout the discussion it is assumed that each Internet-based communication method creates different problems, and each stage in the online contract formation process faces different technological challenges. Technology, while not changing contract law per se, adds complexity to the traditional analysis. The question is not: do traditional principles apply? but how do they apply?
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Book chapters on the topic "Technology Acceptance Model (TAM)"

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Leelavathi, R., S. Manjunath, and T. Somasundaram. "Customer Acceptance on Usage of Telemedicine Application: Technology Acceptance Model (TAM)." In Studies in Computational Intelligence, 311–25. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43300-9_26.

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Granić, Andrina. "Technology Acceptance and Adoption in Education." In Handbook of Open, Distance and Digital Education, 1–15. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0351-9_11-1.

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AbstractThe chapter provides a comprehensive and up-to-date insight into main research findings in the area of educational technology acceptance, adoption, and usage. Over the past decades, a variety of theoretical perspectives have been advanced to provide an understanding of the determinants of adoption of various technologies used to support the process of knowledge transfer and acquisition. Although some prominent theoretical approaches in educational contexts include Innovation Diffusion Theory (IDT), Unified Theory of Acceptance and Use of Technology (UTAUT), as well as Motivational Model (MM), research reveals the Technology Acceptance Model (TAM) as the most influential model and leading scientific paradigm in investigating acceptance of educational technology by students, teachers, and other stakeholders. Aiming to increase their predictive validity, in numerous empirical studies, models have been extended with different predictive factors, like the most often validated self-efficacy, subjective norm, perceived enjoyment, perceived playfulness, anxiety, social influence, system quality, and facilitating conditions. Research revealed electronic learning (e-learning) as the most common validated mode of delivery, followed by mobile learning (m-learning), learning management system (LMS), personal learning environment (PLE), and massive open online course (MOOC), along with different supportive facilitating technologies used in education such as social media platforms, teaching assistant robots, simulators, as well as virtual reality (VR) and augmented reality (AR) technologies. To enhance explanatory power, new developments in educational technology acceptance and adoption have suggested the need of integration of TAM and UTAUT with other contributing adoption and post-adoption theories and models, together with several established approaches from other fields.
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Granić, Andrina. "Technology Acceptance and Adoption in Education." In Handbook of Open, Distance and Digital Education, 183–97. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-2080-6_11.

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AbstractThe chapter provides a comprehensive and up-to-date insight into main research findings in the area of educational technology acceptance, adoption, and usage. Over the past decades, a variety of theoretical perspectives have been advanced to provide an understanding of the determinants of adoption of various technologies used to support the process of knowledge transfer and acquisition. Although some prominent theoretical approaches in educational contexts include Innovation Diffusion Theory (IDT), Unified Theory of Acceptance and Use of Technology (UTAUT), as well as Motivational Model (MM), research reveals the Technology Acceptance Model (TAM) as the most influential model and leading scientific paradigm in investigating acceptance of educational technology by students, teachers, and other stakeholders. Aiming to increase their predictive validity, in numerous empirical studies, models have been extended with different predictive factors, like the most often validated self-efficacy, subjective norm, perceived enjoyment, perceived playfulness, anxiety, social influence, system quality, and facilitating conditions. Research revealed electronic learning (e-learning) as the most common validated mode of delivery, followed by mobile learning (m-learning), learning management system (LMS), personal learning environment (PLE), and massive open online course (MOOC), along with different supportive facilitating technologies used in education such as social media platforms, teaching assistant robots, simulators, as well as virtual reality (VR) and augmented reality (AR) technologies. To enhance explanatory power, new developments in educational technology acceptance and adoption have suggested the need of integration of TAM and UTAUT with other contributing adoption and post-adoption theories and models, together with several established approaches from other fields.
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Krempel, Erik, and Jürgen Beyerer. "TAM-VS: A Technology Acceptance Model for Video Surveillance." In Privacy Technologies and Policy, 86–100. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06749-0_6.

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Beselga, Daniela, and Bráulio Alturas. "Using the Technology Acceptance Model (TAM) in SAP Fiori." In Advances in Intelligent Systems and Computing, 575–84. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16181-1_54.

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Ibrahim, Roslina, Rasimah Che Mohd Yusoff, Khalili Khalil, and Azizah Jaafar. "Factors Affecting Undergraduates’ Acceptance of Educational Game: An Application of Technology Acceptance Model (TAM)." In Lecture Notes in Computer Science, 135–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25200-6_14.

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Pannen, P., H. Widiatmo, and Afriani. "The application of the Technology Acceptance Model (TAM) on online learning." In Education Technology in the New Normal: Now and Beyond, 203–11. London: Routledge, 2023. http://dx.doi.org/10.1201/9781003353423-21.

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Bröhl, Christina, Jochen Nelles, Christopher Brandl, Alexander Mertens, and Christopher M. Schlick. "TAM Reloaded: A Technology Acceptance Model for Human-Robot Cooperation in Production Systems." In HCI International 2016 – Posters' Extended Abstracts, 97–103. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40548-3_16.

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Naik, Mayur, Rahul Sheshadri, Tejesh Varma, Divya Jyoti, Deepansh Ade, Vaibhav Bhalme, and Vijayeta Malla. "Exploring the Perceptions of 3D Printing Through the Technology Acceptance Model (TAM) Lens." In Lecture Notes in Civil Engineering, 627–35. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39663-2_52.

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Yang, Kenneth C. C., Gerald Ng Soon Chye, Jeannie Chan Su Fern, and Yowei Kang. "Understanding the Adoption of Mobile Commerce in Singapore with the Technology Acceptance Model (TAM)." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 211–15. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11845-1_73.

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Conference papers on the topic "Technology Acceptance Model (TAM)"

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Mustafa, A'dillah Bt, Norasiah Hj Harun, and Mohd Zailan Endin. "Understanding e-book acceptance through Technology Acceptance Model (TAM Model)." In 2014 2nd International Conference on Information and Communication Technology (ICoICT). IEEE, 2014. http://dx.doi.org/10.1109/icoict.2014.6914052.

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Mohamad, Mohamad Amiruddin, Mohd Talmizie Amron, and Nur Hidayah Md Noh. "Assessing the Acceptance of E-Learning via Technology Acceptance Model (TAM)." In 2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE). IEEE, 2021. http://dx.doi.org/10.1109/icraie52900.2021.9704019.

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Ismail, Irzan, Amirul ‘Aini, Nurazree Mahmud, and Helmy Abu Hasan. "Relationship between Information Technology (IT) Acceptance and Employee Performance using Technology Acceptance Model (TAM)." In 3rd International Conference on Economics, Business and Economic Education Science, ICE-BEES 2020, 22-23 July 2020, Semarang, Indonesia. EAI, 2021. http://dx.doi.org/10.4108/eai.22-7-2020.2307899.

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Md Noh, Nur Hidayah, Nur Idalisa, Sarah Yusoff, and Balkiah Moktar. "Student’s Acceptance of Video Lecture: An Extension of the Technology Acceptance Model (TAM)." In 2022 International Visualization, Informatics and Technology Conference (IVIT). IEEE, 2022. http://dx.doi.org/10.1109/ivit55443.2022.10033372.

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Utami, Lilyani Asri, Suparni, Ishak Kholil, Lia Mazia, and Rizki Aulianita. "Analysis of Electronic Logistics (E-Logis) System Acceptance Using Technology Acceptance Model (TAM)." In 2018 6th International Conference on Cyber and IT Service Management (CITSM). IEEE, 2018. http://dx.doi.org/10.1109/citsm.2018.8674064.

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Napitupulu, Darmawan, Janner Simarmata, Leon Andretti Abdillah, Muhammad Ikhsan Setiawan, Ansari Saleh Ahmar, Robbi Rahim, Heri Nurdiyanto, et al. "Analysis of Technology Acceptance Model (TAM) on E-Learning System." In 2017 International Conference on Education and Technology (2017 ICEduTech). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icedutech-17.2018.49.

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Rahmawati, Ami, Denny Pribadi, Yusti Farlina, Lis Saumi Ramdhani, Resti Yulistria, and Eva Marsusanti. "Technology Acceptance Model (TAM) for analyzing E-Report Information System." In 2019 7th International Conference on Cyber and IT Service Management (CITSM). IEEE, 2019. http://dx.doi.org/10.1109/citsm47753.2019.8965398.

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Jokonya, Osden. "Validating Technology Acceptance Model (TAM) during IT Adoption in Organizations." In 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 2015. http://dx.doi.org/10.1109/cloudcom.2015.56.

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Noh, Nur Hidayah Md, Mohd Talmizie Amron, and Mohamad Amiruddin Mohamad. "System Characteristics in Predicting E-Learning Acceptance: An Extended Technology Acceptance Model (TAM) Study." In 2022 International Conference on Engineering and Emerging Technologies (ICEET). IEEE, 2022. http://dx.doi.org/10.1109/iceet56468.2022.10007206.

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Alfiansyah, Gamasiano, Mudafiq Riyan Pratama, and Selvia Juwita Swari. "Acceptance of Toddler Nutrition Decision Support Systems Using the Technology Acceptance Model (TAM) Method." In 2nd International Conference on Social Science, Humanity and Public Health (ICOSHIP 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/assehr.k.220207.030.

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Reports on the topic "Technology Acceptance Model (TAM)"

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Contreras Salamanca, Luz Briyid, and Yon Garzón Ávila. Generational Lagging of Dignitaries, Main Cause of Technological Gaps in Community Leaders. Analysis of Generation X and Boomers from the Technology Acceptance Model. Universidad Nacional Abierta y a Distancia, May 2021. http://dx.doi.org/10.22490/ecacen.4709.

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Community and neighborhood organizations are in the process of renewing the organizational culture, considering technological environments in the way of training, and advancing communally, being competitive in adaptation and learning, creating new solutions, promoting change, and altering the status quo, based on the advancement of technology over the last few years, currently applied in most organizations. The decisive factor is the ability of true leaders to appropriate the Technological Acceptance Model –TAM– principles, participating in programs and projects, adopting new technologies from the different actors involved, contributing to the welfare of each community. There is, however, a relative resistance to the use of technology as support in community management, due to the generational differences in leaders and dignitaries, according to collected reports in this study, in relation to the age range of dignitaries –Generation X and Baby Boomers predominate–. They present a challenge to digital inclusion with difficulties related to age, cognitive, sensory, difficulty in developing skills, and abilities required in Digital Technologies, necessary to face new scenarios post-pandemic and, in general, the need to use technological facilities.
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Hwang, Chanmi. Consumers' acceptance of wearable technology: Antecedents in a technology acceptance model (MS - 2nd place). Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-1125.

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Ma, Yoon Jin, Hae Jin Gam, and Jennifer Banning. Acceptance of a Socially Responsible Label Model for Apparel Products: Application of the Technology Acceptance Model. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-842.

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Li, Ailin, and Yingjiao Xu. Chinese Consumers� Adoption Behaviors Toward Virtual Fitting Rooms: From the Perspective of Technology Acceptance Model. Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8331.

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Lehmann, Johannes, and Nina Dwerlkotte. Carbon Farming and Its Impact on Agricultural Technology. SAE International, November 2023. http://dx.doi.org/10.4271/epr2023026.

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<div class="section abstract"><div class="htmlview paragraph">The agricultural sector is responsible for a large share of anthropogenic greenhouse gases. At the same time, methods such as targeted land use change can reduce emissions from landscape elements and sequester carbon from the atmosphere in the soil. This process, also known as carbon farming, has not been uniformly defined, and faces challenges regarding establishing new requirments for agricultural vehicles and technology, creating profitable business models (that preclude “greenwashing”), and developing governmental frameworks and industry acceptance.</div><div class="htmlview paragraph"><b>Carbon Farming and Its Impact on Agricultural Technology</b> discusses the large development gap for carbon farming methods, especially with regard to agricultural technology. In addition to the new hardware requirements arising from land use change, there is also a need for the further development of software. The establishment of suitable interfaces and solutions that are interoperable with existing technologies is also crucial at this point. This report clearly shows that more funding for research and development is needed today so that appropriate standards can be set and carbon farming can contribute to climate protection in the future.</div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>
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Burton, Simon. The Path to Safe Machine Learning for Automotive Applications. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, October 2023. http://dx.doi.org/10.4271/epr2023023.

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<div class="section abstract"><div class="htmlview paragraph">Recent rapid advancement in machine learning (ML) technologies have unlocked the potential for realizing advanced vehicle functions that were previously not feasible using traditional approaches to software development. One prominent example is the area of automated driving. However, there is much discussion regarding whether ML-based vehicle functions can be engineered to be acceptably safe, with concerns related to the inherent difficulty and ambiguity of the tasks to which the technology is applied. This leads to challenges in defining adequately safe responses for all possible situations and an acceptable level of residual risk, which is then compounded by the reliance on training data.</div><div class="htmlview paragraph"><b>The Path to Safe Machine Learning for Automotive Applications</b> discusses the challenges involved in the application of ML to safety-critical vehicle functions and provides a set of recommendations within the context of current and upcoming safety standards. In summary, the potential of ML will only be unlocked for safety-related functions if the inevitable uncertainties associated with both the specification and performance of the trained models can be sufficiently well understood and controlled within the application-specific context.</div><div class="htmlview paragraph"><a href="https://www.sae.org/publications/edge-research-reports" target="_blank">Click here to access the full SAE EDGE</a><sup>TM</sup><a href="https://www.sae.org/publications/edge-research-reports" target="_blank"> Research Report portfolio.</a></div></div>
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Naim, Michael, Andrew Spielman, Shlomo Nir, and Ann Noble. Bitter Taste Transduction: Cellular Pathways, Inhibition and Implications for Human Acceptance of Agricultural Food Products. United States Department of Agriculture, February 2000. http://dx.doi.org/10.32747/2000.7695839.bard.

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Historically, the aversive response of humans and other mammals to bitter-taste substances has been useful for survival, since many toxic constituents taste bitter. Today, the range of foods available is more diverse. Many bitter foods are not only safe for consumption but contain bitter constituents that provide nutritional benefits. Despite this, these foods are often eliminated from our current diets because of their unacceptable bitterness. Extensive technology has been developed to remove or mask bitterness in foods, but a lack of understanding of the mechanisms of bitterness perception at the taste receptor level has prevented the development of inhibitors or efficient methods for reducing bitterness. In our original application we proposed to: (a) investigate the time course and effect of selected bitter tastants relevant to agricultural products on the formation of intracellular signal molecules (cAMP, IP3, Ca2+) in intact taste cells, in model cells and in membranes derived therefrom; (b) study the effect of specific bitter taste inhibitors on messenger formation and identify G-proteins that may be involved in tastant-induced bitter sensation; (c) investigate interactions and self-aggregation of bitter tastants within membranes; (d) study human sensory responses over time to these bitter-taste stimuli and inhibitors in order to validate the biochemical data. Quench-flow module (QFM) and fast pipetting system (FPS) allowed us to monitor fast release of the aforementioned signal molecules (cGMP, as a putative initial signal was substituted for Ca2+ ions) - using taste membranes and intact taste cells in a time range below 500 ms (real time of taste sensation) - in response to bitter-taste stimulation. Limonin (citrus) and catechin (wine) were found to reduce cellular cAMP and increase IP3 contents. Naringin (citrus) stimulated an IP3 increase whereas the cheese-derived bitter peptide cyclo(leu-Trp) reduced IP3 but significantly increased cAMP levels. Thus, specific transduction pathways were identified, the results support the notion of multiple transduction pathways for bitter taste and cross-talk between a few of those transduction pathways. Furthermore, amphipathic tastants permeate rapidly (within seconds) into liposomes and taste cells suggesting their availability for direct activation of signal transduction components by means of receptor-independent mechanisms within the time course of taste sensation. The activation of pigment movement and transduction pathways in frog melanophores by these tastants supports such mechanisms. Some bitter tastants, due to their amphipathic properties, permeated (or interacted with) into a bitter tastant inhibitor (specific phospholipid mixture) which apparently forms micelles. Thus, a mechanism via which this bitter taste inhibitor acts is proposed. Human sensory evaluation experiments humans performed according to their 6-n-propyl thiouracil (PROP) status (non-tasters, tasters, super-tasters), indicated differential perception of bitterness threshold and intensity of these bitter compounds by different individuals independent of PROP status. This suggests that natural products containing bitter compounds (e.g., naringin and limonin in citrus), are perceived very differently, and are in line with multiple transduction pathways suggested in the biochemical experiments. This project provides the first comprehensive effort to explore the molecular basis of bitter taste at the taste-cell level induced by economically important and agriculturally relevant food products. The findings, proposing a mechanism for bitter-taste inhibition by a bitter taste inhibitor (made up of food components) pave the way for the development of new, and perhaps more potent bitter-taste inhibitors which may eventually become economically relevant.
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