Bibliografías temáticas / Technology acceptance factors

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Literatura académica sobre el tema "Technology acceptance factors"

Autor: Grafiati
Publicado: 10 de septiembre de 2021
Última modificación: 12 de febrero de 2022

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Artículos de revistas sobre el tema "Technology acceptance factors"

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A Breckon, Denise, Ilene A. McCoy, Tiffany Strom, Donna W Jordan, and Keni Galmai. "Digital Logistics Capability: Factors Impacting Technology Acceptance." Muma Business Review 3 (2019): 213–24. http://dx.doi.org/10.28945/4448.

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The Naval Air Warfare Center Aircraft Division Logistics Competency is implementing new technology that will transform the way that logistics analysis is performed. Implementing technology can be a challenge for organizations and especially when the technology disrupts the existing logistics processes. Some of the workforce may view the use of digital devices as frustrating and are likely to be reluctant to accept the new technology even with its enhanced benefits that improve logistics. This research uses a systematic review and thematic synthesis to identify the factors impacting a user’s pe
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Chung, ByoungGyu, and Duck Boung Kang. "Factors Affecting Acceptance of Smart Farming Technology." Academic Society of Global Business Administration 17, no. 2 (2020): 54–80. http://dx.doi.org/10.38115/asgba.2020.17.2.54.

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Waluyani, Risma Candra, Bambang Subroto, and Bambang Purnomosidhi. "Effect of External Factors of Technology Acceptance Model Toward Technology Acceptance of Online Travel Agent." Jurnal Economia 14, no. 2 (2018): 158–76. http://dx.doi.org/10.21831/economia.v14i2.20745.

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Abstract: Effect of External Factors of Technology Acceptance Model Toward Technology Acceptance of Online Travel Agent. This study aimed to identify and analyse internal factors and external factors which affect the intention of Universitas Brawijaya students to use online travel agent service. Samples were selected by using nonprobability sampling technique and convenience sampling method. The instrument of this study was online questionaires whose result were analyzed by SEM-PLS. This study found that personal innovativeness and self-efficacy affected how students perceive that online trave
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Walker, Susan K., and Heeran Kim. "Family Educators’ Technology Use and Factors Influencing Technology Acceptance Attitudes." Family and Consumer Sciences Research Journal 43, no. 4 (2015): 328–42. http://dx.doi.org/10.1111/fcsr.12113.

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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 (2018): 1. http://dx.doi.org/10.5539/ibr.v11n10p1.

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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
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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 (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 ins
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Sagnier, Camille, Emilie Loup-Escande, Domitile Lourdeaux, Indira Thouvenin, and Gérard Valléry. "User Acceptance of Virtual Reality: An Extended Technology Acceptance Model." International Journal of Human–Computer Interaction 36, no. 11 (2020): 993–1007. http://dx.doi.org/10.1080/10447318.2019.1708612.

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Boone, Randy. "Factors Impacting Innovation Acceptance in a Product Development Organization: Utilizing Technology Acceptance Model." Organizational Cultures: An International Journal 12, no. 1 (2013): 45–60. http://dx.doi.org/10.18848/2327-8013/cgp/v12i01/50959.

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Basak, Ecem, Cigdem Altin Gumussoy, and Fethi Calisir. "Examining the Factors Affecting PDA Acceptance among Physicians: An Extended Technology Acceptance Model." Journal of Healthcare Engineering 6, no. 3 (2015): 399–418. http://dx.doi.org/10.1260/2040-2295.6.3.399.

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Yu, Je Seol, Chae Won Kim, and Eui Gab Hwang. "The Factors Influencing the Forensic Technology Acceptance of Crime Scene Investigators : Focusing on Extended Technology Acceptance Model." Korean Police Studies Review 16, no. 2 (2017): 73–92. http://dx.doi.org/10.38084/2017.16.2.4.

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Tesis sobre el tema "Technology acceptance factors"

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Williams, Waitline. "Factors that Affect Bar Code Medication Administration Technology Acceptance." Thesis, Adelphi University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3579387.

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<p> Medication errors are a major concern for patient safety, and cost the health care system billions of dollars each year. There is evidence that Barcode Medication Administration Technology decreases medication errors. However, little is known about the factors that affect Barcode Medication Administration Technology Acceptance by Nurses. The purpose of this research was to investigate the relationships between caring, role conflict and role ambiguity, organizational commitment and barcode medication administration technology acceptance by nurses.</p><p> A quantitative non-experimental co
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Connon, Neil G. "Factors impacting on technology acceptance for the micro/SME electronics retailer." Thesis, Robert Gordon University, 2007. http://hdl.handle.net/10059/234.

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The UK micro/SME (known here as SME) retail sector is very important to the economic well being of the country. Its ability to generate jobs as well as income makes it a key part of the drive towards economic growth, and as such it is supported by government through a variety of initiatives. One initiative in 2003 aimed to energise and invigorate practitioners into using internet based technologies more fully in their business practices. This supported the widely held belief that the internet can and does enhance and improve business efficiency. It also suggests that SMEs were not fully engagi
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Marcum, Allen McDonald 1961. "Study of factors around automotive fuel cell implementation and market acceptance." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8884.

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Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2001.<br>Includes bibliographical references (p. 78-79).<br>There are data that suggest that the earth's surface temperature has. increased over the past century. Many scientists believe that this rise is due to the emissions of greenhouse gases by anthropogenic sources, while others believe it is due primarily to natural phenomena, such as solar cycles. Regardless of the actual cause, we should be motivated to drastically reduce · emissions of these gases, improve fuel eff
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Johnson, Richard. "Factors affecting intent to use consumer genetic tests : a revised technology acceptance model." Diss., University of Pretoria, 2010. http://hdl.handle.net/2263/24001.

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Genetic testing offers disease diagnosis and other information based on genetic material provided by an individual. Direct to consumer genetic tests bypass clinicianadministered tests in favour of direct sales and usage by consumers. The relative newness of consumer genetic testing to the South African market provides an opportunity for understanding the factors that would drive adoption of these products. An established technology acceptance model was enriched with factors important to clinical genetic testing and individual innovativeness. The model was tested through an online questionnaire
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Aljeeran, Reham. "The Role of Socio-Cultural Factors in Faculty Members’ Acceptance of Moodle at GUST." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469121024.

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Therriault, Victoria. "Exploring Factors Related to Acceptance of 1|1 Devices among High School Students." Thesis, Northern Illinois University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10977175.

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<p> Studies show that students in lower socioeconomic status (SES) districts tend to have fewer resources, and in turn have greater achievement gaps than their affluent peers from neighboring districts. In an effort to bridge these gaps, schools have turned to 1:1 computing to bring electronic resources to their students that they might not have otherwise. However, to date there are minimal studies indicating whether or not high school students are willing to accept technology for classroom instructional purposes. This study examined the extent to which student demographic characteristics (e.g
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Saleh, Soleman. "Study of critical success factors in adopting knowledge management systems for the Libyan public oil sector." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/study-of-critical-success-factors-in-adopting-knowledge-management-systems-for-the-libyan-public-oil-sector(392a9659-b5ea-4a12-b925-d47a824c7bca).html.

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In the modern era, the developments in information technology have been dramatically shaping the ways people live as well as the ways in which organisations handle business in their professional domains. Implementing various kinds of information system, such as Enterprises Resource Planning (ERP) systems, Decision Support Systems (DSS) and Knowledge Management Systems (KMS), has been recognised as one of the necessary tasks organisations have to perform in order to survive (Alavi 2001). Despite the tremendous effort companies worldwide have devoted to the implementation of knowledge management
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Simsek, Diler. "Factors Influencing New Product Acceptance: A Study On Military Context." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610039/index.pdf.

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Attitudes of users towards new Information Technology products have been the matters of consumer research studies. Factors that affect user behavior in terms of IT acceptance have been modeled by different researchers with an attempt to predict the actual usage. This study aims to analyze these factors and their significance in military context. One of the robust models, namely Unified Theory of Acceptance and Use of Technology (UTAUT) is used as the study model with required modifications in order to augment its compatibility. Therefore an exploratory survey study is conducted within the targ
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Wong, Alex, and John Carlbäck. "A Study on Factors Influencing Acceptance of Using Mobile Electronic Identification Applications in Sweden." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39902.

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Mobile technology has become increasingly common in today’s society, enabling a whole new set of advantageous services that has a profound impact on our daily lives. This has led to that the mobile electronic identification application (mobile eID app) software has emerged, creating the possibility for users to authenticate important tasks and validating one’s identity through a mobile device. Existing literature on mobile electronic identification (mobile eID) has touched upon several aspects of this phenomenon, however, no specific research related to the user acceptance has been conducted.
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Alkharang, Mubarak M. "Factors that influence the adoption of e-learning : an empirical study in Kuwait." Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/11447.

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E-learning has emerged as a necessity to meet the challenges posed by the development of information technology and its potential for greater access to knowledge. The general hypothesis of this research is that; e-learning as an organizational activity started in the developed countries, and as such, the implementation models developed there are taken as a benchmark. The implementation barriers and the influential factors for adopting e-learning in different regions and societies may or may not be the same as those found in the developed countries (with varying degrees of intensity or importan
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Libros sobre el tema "Technology acceptance factors"

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Mulvihill, Philip P. Profiling the early customer for telephone banking in Ireland and investigating the factors governing it's acceptance. University College Dublin, 1996.

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Capítulos de libros sobre el tema "Technology acceptance factors"

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Rahman, Md Mahmudur, Shuchisnigdha Deb, Daniel Carruth, and Lesley Strawderman. "Using Technology Acceptance Model to Explain Driver Acceptance of Advanced Driver Assistance Systems." In Advances in Human Factors of Transportation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20503-4_5.

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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. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25200-6_14.

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Salomon, Gabriela, and Patrick Müller. "Success Factors for the Acceptance of Smart Home Technology Concepts." In Digitalen Wandel gestalten. Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-24651-8_6.3.

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Gong, Wenxuan, and Bing Xiao. "Research on Factors Influencing Users’ Technology Acceptance of Virtual Museums." In Culture and Computing. Interactive Cultural Heritage and Arts. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77411-0_24.

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Abu Seman, Adibah Hanun, Rohiza Ahmad, and Hitham Seddig Alhassan Alhussian. "Factors Influencing Acceptance of Technology by Senior Citizens: A Systematic Review." In Intelligent Algorithms in Software Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51965-0_31.

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Bakar, Nor Fauziah Abu, Safura Adeela Sukiman, Haslenda Yusop, Rashidah Mokhtar, and Nur Huda Jaafar. "The Flipped Classroom: The Use of Factor Analysis in Determining the Factors of Acceptance." In Regional Conference on Science, Technology and Social Sciences (RCSTSS 2014). Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1458-1_56.

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Dargahi, Ardavan, Franck Pourroy, and Frédéric Wurtz. "Towards Controlling the Acceptance Factors for a Collaborative Platform in Engineering Design." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15961-9_70.

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Dirks, Susanne, and Christian Bühler. "Assistive Technologies for People with Cognitive Impairments – Which Factors Influence Technology Acceptance?" In Universal Access in Human-Computer Interaction. Methods, Technologies, and Users. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92049-8_36.

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Ghazal, Samar, Hanan Aldowah, and Irfan Umar. "Critical Factors to Learning Management System Acceptance and Satisfaction in a Blended Learning Environment." In Recent Trends in Information and Communication Technology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59427-9_71.

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Okcu, Serap, Gulsah Hancerliogullari Koksalmis, Ecem Basak, and Fethi Calisir. "Factors Affecting Intention to Use Big Data Tools: An Extended Technology Acceptance Model." In Lecture Notes in Management and Industrial Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03317-0_33.

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Actas de conferencias sobre el tema "Technology acceptance factors"

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Guo, Huijuan, Xin Huang, and Paul Craig. "Factors Influencing the User Acceptance of Alipay." In 2015 International Conference on Economy, Management and Education Technology. Atlantis Press, 2015. http://dx.doi.org/10.2991/icemet-15.2015.73.

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Ying Zhao and Qi Zhu. "Influence Factors of Technology Acceptance Model in Mobile Learning." In 2010 Fourth International Conference on Genetic and Evolutionary Computing (ICGEC 2010). IEEE, 2010. http://dx.doi.org/10.1109/icgec.2010.139.

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Harborth, David, and Sebastian Pape. "Exploring the Hype: Investigating Technology Acceptance Factors of Pokémon Go." In 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). IEEE, 2017. http://dx.doi.org/10.1109/ismar.2017.32.

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Ng, Claudia, and Angela Siew Hoong Lee. "Factors Influencing the Acceptance of Blockchain Technology: Real Estate Industry." In ICSIM 2021: 2021 The 4th International Conference on Software Engineering and Information Management. ACM, 2021. http://dx.doi.org/10.1145/3451471.3451482.

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Althunibat, Ahmad, Basem Alokush, Raneem Dawood, Saeed M. Z. A. Tarabieh, and Ignacio Gil-Pechuan. "Modeling the factors that influence digital economy services acceptance." In 2021 International Conference on Information Technology (ICIT). IEEE, 2021. http://dx.doi.org/10.1109/icit52682.2021.9491686.

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Du, Jian, Jing Lu, Xiaobo Wu, and Jie Li. "Research on the influential factors of SaaS user acceptance." In 2012 International Symposium on Management of Technology (ISMOT). IEEE, 2012. http://dx.doi.org/10.1109/ismot.2012.6679454.

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de Oliveira, Mateus, Adriana Prest Mattedi, and Rodrigo Duarte Seabra. "Social dimensions in the acceptance of and access to technology." In IHC '19: XVIII Brazilian Symposium on Human Factors in Computing Systems. ACM, 2019. http://dx.doi.org/10.1145/3357155.3358431.

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Ramlugun, Vidisha D. Gunesh. "Factors affecting technology acceptance- evidence from the hotel industry in Mauritius." In Annual International Conference on Infocomm Technologies in Competitive Strategies. Global Science and Technology Forum, 2010. http://dx.doi.org/10.5176/978-981-08-7240-3_i-34.

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Sevani, Nina, and Budi Marpaung. "Theoretical Model of Determinants Factors of Health Information Technology (HIT) Acceptance." In 2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). IEEE, 2018. http://dx.doi.org/10.1109/isriti.2018.8864471.

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Mohamedpour, Maryam, Zohre Motmaen Faal, and Mehdi Fasanghari. "A Proposed Framework for Effective Mobile Services Acceptance Factors." In 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology. IEEE, 2009. http://dx.doi.org/10.1109/iccit.2009.92.

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Informes sobre el tema "Technology acceptance factors"

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Rahman, Mohammad. Exploring the Factors Influencing Big Data Technology Acceptance. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.7389.

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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, 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
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Hubbard, Sarah M., and Bryan Hubbard. Investigation of Strategic Deployment Opportunities for Unmanned Aerial Systems (UAS) at INDOT. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317126.

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Unmanned aerial systems (UAS) are increasingly used for a variety of applications related to INDOT’s mission including bridge inspection, traffic management, incident response, construction and roadway mapping. UAS have the potential to reduce costs and increase capabilities. Other state DOTs and transportation agencies have deployed UAS for an increasing number of applications due to technology advances that provide increased capabilities and lower costs, resulting from regulatory changes that simplified operations for small UAS under 55 pounds (aka, sUAS). This document provides an overview
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