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Journal articles on the topic 'Technology influence'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

Njagi, Rayherb Nyahura. "Information Communication Technology & Students’ Discipline." Jumuga Journal of Education, Oral Studies, and Human Sciences 7, no. 1 (2024): 1–9. http://dx.doi.org/10.35544/jjeoshs.v7i1.71.

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Discipline management is critically important in learning institutions; hence the research article seeks to assess the influence of Information Communication Technology (hereafter, ICT) in enhancing students’ discipline management in Nyandarua North sub-county. Four objectives guided the research study: to establish the influence of ICT on students’ attendance discipline, prep time discipline, students’ class properties discipline and students’ examination discipline. It is anchored on behavioral theory, as guided by Kounin’s model of 1976 ‘with-it-ness,’ which describes the teacher’s alertnes

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2

Loureiro, Ruben Joaquim Pinto, Jorge Manuel Marques Simões, Sílvio Manuel Valente da Silva, and António Gabriel Simão de Castro. "Technology and Influence on Innovation." Journal of Business and Economics 10, no. 4 (2019): 335–42. http://dx.doi.org/10.15341/jbe(2155-7950)/04.10.2019/006.

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Innovation can be the key element of a company, yet it is dependent on business resources. The relationship between innovation and performance is addressed by several authors who advocate this theme as a driver to solve problems at the business level and subsequently improve performance. Innovation is essentially under great uncertainty, but little information exists about innovation in developing countries. The present research aims to add knowledge about innovation in developing countries, analyzing whether innovation improves business performance (influenced by technology). Thus, the resear

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3

Ma., Teresa E. Mendoza, and Erick B. Catiis Glenn. "Administrators' technology leadership: Its influence on teachers' technology proficiency." International Research Journal of Science, Technology, Education, and Management 2, no. 3 (2022): 67–75. https://doi.org/10.5281/zenodo.7136432.

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The educational system of the world has reached the 21st century. Teachers and principals have to adopt the immense changes brought by technological advancement. Teachers are equipped with 21st-century tools thanks to the administrators' technological expertise and their own; however, the intensity is only a possibility waiting to become a reality upon integration. At the height of the 2020 educational set-up brought about by the COVID-19 pandemic, the skills of positive technology integration for both administrators and teachers are needed to actualize and harmonize their respective areas

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4

Kozinets, Robert V. "Technology/Ideology: How Ideological Fields Influence Consumers' Technology Narratives." Journal of Consumer Research 34, no. 6 (2008): 865–81. http://dx.doi.org/10.1086/523289.

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5

Sabitha Devi, N., and Vedulla Shekhar. "Influence of Information Technology on Insurance Industry in New Century." International Journal of Science and Research (IJSR) 11, no. 1 (2022): 1114–17. http://dx.doi.org/10.21275/sr22119092414.

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6

Kelkar, Rishik. "The Influence of Computing Technology on Mentality and Human Relations." International Journal of Science and Research (IJSR) 12, no. 11 (2023): 1652–56. http://dx.doi.org/10.21275/sr231016143524.

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7

ROSTAN, Martin. "0406 Influence of Ultra-fast Communication Technology on Manufacturing Equipment." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2015.8 (2015): _0406–1_—_0406–5_. http://dx.doi.org/10.1299/jsmelem.2015.8._0406-1_.

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8

Sabila, Radhiya, Arista Pratama, and Eristya Maya Safitri. "Evaluation Virtual Assistant Chatbot Acceptance with an Unified Technology Acceptance and Use of Technology-Based Model." Journal of Information Systems and Informatics 6, no. 2 (2024): 919–36. http://dx.doi.org/10.51519/journalisi.v6i2.744.

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The virtual assistant chatbot in the MyTelkomsel application is a company's effort to achieve goals and improve business performance. Chatbot as a virtual assistant has advantages and disadvantages. Evaluating user acceptance of the Virtual Assistant Chatbot in the MyTelkomsel application is important to overcome so that users do not switch to using other products. One of the models used to evaluate user acceptance of information systems is the Unified Theory of Acceptance and Use of Technology (UTAUT). UTAUT is able to explain how the use of technology can be influenced by individual differen

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9

Zhang, Bochen. "The Influence of Intelligent Technology on Photography Technology and Art." IOP Conference Series: Materials Science and Engineering 382 (July 2018): 052022. http://dx.doi.org/10.1088/1757-899x/382/5/052022.

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10

Li, YiZhi. "The Influence of Computer Application Technology on Enterprise Computer Technology." Journal of Physics: Conference Series 1533 (April 2020): 022007. http://dx.doi.org/10.1088/1742-6596/1533/2/022007.

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11

Issroff, Kim, and Eileen Scanlon. "Educational Technology: The Influence of Theory." Journal of Interactive Media in Education 2002, no. 1 (2002): 6. http://dx.doi.org/10.5334/2002-6.

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12

Randle, Jacqueline. "Past caring? The influence of technology." Nurse Education in Practice 1, no. 3 (2001): 157–65. http://dx.doi.org/10.1054/nepr.2001.0025.

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13

Destriana, D. B., and Juanda. "Influence of Information Technology on Society." IOP Conference Series: Materials Science and Engineering 662 (November 20, 2019): 022075. http://dx.doi.org/10.1088/1757-899x/662/2/022075.

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14

Sinfelt, John H. "Influence of technology on catalytic science." Industrial & Engineering Chemistry Fundamentals 25, no. 1 (1986): 2–9. http://dx.doi.org/10.1021/i100021a001.

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15

Gahl, K. "How does technology influence medical acting?" DMW - Deutsche Medizinische Wochenschrift 129, no. 3 (2004): 103–6. http://dx.doi.org/10.1055/s-2004-816286.

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16

Morey, Marcos, Ana Fernández-Marmiesse, Jose Angel Cocho, and María L. Couce. "Influence of technology in genetic epidemiology." AIMS Genetics 2, no. 3 (2015): 219–29. http://dx.doi.org/10.3934/genet.2015.3.219.

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17

Lee, Younghwa, Jintae Lee, and Zoonky Lee. "Social influence on technology acceptance behavior." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 37, no. 2-3 (2006): 60–75. http://dx.doi.org/10.1145/1161345.1161355.

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18

Havrland, B., M. Kavka, and M. Růžička. "Influence of factors on the maize-grain mechanized technology net margin." Research in Agricultural Engineering 52, No. 2 (2012): 69–79. http://dx.doi.org/10.17221/4882-rae.

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a tendency to reduce number of operations by their association carries technical, environmental as well as economic aspects. Technical and environmental features are apparent and can be described with couple of quite logic positive effects and consequences. It is rather difficult to exactly identify economic proceeds that must especially be seen in producer&rsquo;s final perception (net margin). Methodology of net margin calculation is complicated and sometimes not fully transparent. A new (proper) methodological approach has been conceived in the concept of ATMP (Agricultural Technology M

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19

Hamid, Maisarah Abdul, Muhammad Syamim Juhaizi, Nur Zuhayra Irdina Binti Zamuin, Zatul Iffah Mohd Fuza, and Sulaiha Mohd Isa. "Sustainability and Technology Influence Towards Hotels Guest Satisfaction." International Journal of Research and Innovation in Social Science VIII, no. XI (2024): 1039–46. https://doi.org/10.47772/ijriss.2024.8110083.

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Sustainability and Technology are two main ingredients in tourism development nowadays. Hotels need to incorporate these two components into the operation. This study aims to examine the relationship between sustainability attitude, technology influence, perceived green value, and perceived technology innovativeness towards guest satisfaction. The causal study using the Quantitative data collection is employed in this study. The data was collected from 228 respondents using Google Forms the data was analysed using multiple regression analysis. The result showed that 2 variables of Sustainabili

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20

Niederhauser, Dale S., and Serkan Perkmen. "Validation of the Intrapersonal Technology Integration Scale: Assessing the Influence of Intrapersonal Factors that Influence Technology Integration." Computers in the Schools 25, no. 1-2 (2008): 98–111. http://dx.doi.org/10.1080/07380560802157956.

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21

BOREIKO, Galyna, Olha MOSKVYCH, and Nadiia ZELENINА. "THEATRE AND TECHNOLOGY: THE INFLUENCE OF MODERN TECHNOLOGY ON THEATRE ARTS." Humanities science current issues 1, no. 85 (2025): 79–86. https://doi.org/10.24919/2308-4863/85-1-12.

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22

Hailey, David, Sophie Werkö, Måns Rosén, et al. "INFLUENCE OF HEALTH TECHNOLOGY ASSESSMENT AND ITS MEASUREMENT." International Journal of Technology Assessment in Health Care 32, no. 6 (2016): 376–84. http://dx.doi.org/10.1017/s0266462316000611.

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Objectives: The aim of this study was to obtain information on methods used to measure health technology assessment (HTA) influence, decisions that were influenced, and outcomes linked to HTA.Methods: Electronic databases were used to locate studies in which HTA influence had been demonstrated. Inclusion criteria were studies that reliably reported consideration by decision makers of HTA findings; comparative studies of technology use before and after HTA; and details of changes in policy, health outcomes, or research that could be credibly linked to an HTA.Results: Fifty-one studies were sele

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23

Madjid, Aulia Nuur, and Shinta Permata Sari. "Pengukuran Tingkat Penerimaan Pengguna Mobile Banking menggunakan Unified Theory of Acceptance and Use of Technology (UTAUT)." Journal of Management and Bussines (JOMB) 6, no. 6 (2024): 2057–70. https://doi.org/10.31539/jomb.v6i6.13661.

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This study aims to determine and analyze the influence of performance expectations, effort expectations, and social influences on behavioral intentions to use mobile banking, as well as to determine and analyze the influence of facilitating conditions and behavioral intentions on mobile banking behavior. This study uses a quantitative research method with primary data collection. The data collection technique uses a questionnaire. The research data were analyzed using Partial Least Square (PLS) and then processed using SmartPLS 4.0 software. The results of this study indicate that behavioral i

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24

de Andrés-Sánchez, Jorge, and Jaume Gené-Albesa. "Explaining Policyholders’ Chatbot Acceptance with an Unified Technology Acceptance and Use of Technology-Based Model." Journal of Theoretical and Applied Electronic Commerce Research 18, no. 3 (2023): 1217–37. http://dx.doi.org/10.3390/jtaer18030062.

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Conversational robots powered by artificial intelligence (AI) are intensively implemented in the insurance industry. This paper aims to determine the current level of acceptance among consumers regarding the use of conversational robots for interacting with insurers and seeks to identify the factors that influence individuals’ behavioral intention to engage with chatbots. To explain behavioral intention, we tested a structural equation model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. It was supposed that behavioral intention is influenced by performance expe

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25

Baig, Muntajeeb Ali. "Influence of Artificial Intelligence Technology on Teaching Slow Learners." International Journal of Early Childhood Special Education (INT-JECS) 14, no. 4 (2023): 1824–29. https://doi.org/10.5281/zenodo.8114626.

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Despite the fact that artificial intelligence (AI) and education could appear like a futuristic innovation, they are already part of our lives and educational institutions. We can simplify both the lives of students and instructors by using AI education. AI education allows all students to acquire a high- quality education and customizes learning. Although every student's learning style is unique, generally they are divided into three categories based on learning: Passive learners, Slow learners, Quick Learners. The main goal of this work is to determine how artificial intelligence affects

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26

Hasibuan, Nisa Hafzhiyah, Fitra Audina, Ayu Anggreini Marpaung, Mutia Asmi Fadillah, and Winda Vita Puri Dalimunthe. "PENGARUH TEKNOLOGI KOMUNIKASI TERHADAP MINAT BACA MAHASISWA TADRIS BAHASA INDONESIA UIN SU MEDAN." MEMACE: Jurnal Linguistik, Pendidikan Bahasa Indonesia, dan Asing 1, no. 4 (2023): 141–48. http://dx.doi.org/10.55681/memace.v1i4.1971.

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This research focuses on explaining how communication technology influences the reading interest of Indonesian language students at UIN SU Medan. Communication technology among teenagers or students greatly influences their interest in reading, especially students who use communication technology such as smartphones or the internet are more interested because apart from that they can access content or features that are considered more interesting than reading books. The research method used is causal associative (influence) research using a quantitative approach. The aim of this research is to

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27

Sox, Carole B., Jeffrey M. Campbell, Sheryl F. Kline, Sandra K. Strick, and Tena B. Crews. "Technology use within meetings: a generational perspective." Journal of Hospitality and Tourism Technology 7, no. 2 (2016): 158–81. http://dx.doi.org/10.1108/jhtt-09-2015-0035.

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Purpose This paper aims to examine generational formative referents as factors that influence meeting attendees’ adoption and technology use within virtual and hybrid meetings, and test the applicability of the technology acceptance model (TAM) as presented by Davis (1986). This study investigates how attendees’ experiences from their respective formative years (i.e. generational formative referents), the basis of the Generational Cohort Theory (GCT), influence the TAM model constructs. Design/methodology/approach A partial least squares analysis test is utilized to determine technology accept

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28

Jansen, Diederik. "MAXIMIZING INNOVATION: ANALYZING THE INFLUENCE OF TECHNOLOGY PARTNERSHIP PORTFOLIOS ON FIRM PERFORMANCE." American Journal of Management and Economics Innovations 06, no. 05 (2024): 08–13. http://dx.doi.org/10.37547/tajmei/volume06issue05-02.

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Innovation is a cornerstone of competitive advantage in today's dynamic business environment, and firms often collaborate with external partners to enhance their innovation capabilities. This study examines the influence of technology partnership portfolios on firm innovation performance. Drawing on data from a diverse sample of firms across industries, we analyze the composition and dynamics of technology partnership portfolios and their impact on various dimensions of innovation performance, including product innovation, process innovation, and overall firm competitiveness. Our findings shed

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29

Chen, Chih-Hung. "Extending the Technology Acceptance Model: A New Perspective on the Adoption of Blockchain Technology." Human Behavior and Emerging Technologies 2023 (November 22, 2023): 1–14. http://dx.doi.org/10.1155/2023/4835896.

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While previous studies have investigated the factors influencing Internet adoption, the findings may not be transferable to explain blockchain technology (BCT) adoption, despite its similarities to the Internet. This study addresses this gap by developing an extended technology acceptance model (TAM) to investigate the factors influencing BCT adoption. The model consists of four key factors, including strategic management and social influence at the firm level, and individual innovation and self-efficacy at the individual level. Data were collected from 384 employees at Taiwan Stock Exchange c

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30

Rosita, Tita, and Rhini Fatmasari. "Acceptance of Distance Learning Technology in Technology-Based Learning Management." Al-Tanzim: Jurnal Manajemen Pendidikan Islam 7, no. 4 (2023): 1191–201. http://dx.doi.org/10.33650/al-tanzim.v7i4.5945.

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The Technology Acceptance Model (TAM) describes the factors that influence the acceptance and adoption of technology by individuals. In education management, TAM is used to understand how educators, students, and administrative staff respond to the use of technology in the educational process. The application of the Technology Acceptance Model in education management is to help educational institutions plan, implement, and support the use of technology more effectively, taking into account psychological factors and user perceptions. The variables influencing technology acceptance are Perceived

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31

Makarenko, Liliia Petrivna. "Political performance as a technology of influence." Politicus 1 (2018): 66–70. http://dx.doi.org/10.24195/2414-9616-2018-1-66-70.

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32

Keefe, Jeffrey H. "Do Unions Influence the Diffusion of Technology?" Industrial and Labor Relations Review 44, no. 2 (1991): 261. http://dx.doi.org/10.2307/2524807.

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33

Adeyeye, Olajumoke, Jemimah Njuki, and Maureen Miruka. "Does women’s agency influence agriculture technology adoption?" Food Chain 7, no. 1 (2018): 38–54. http://dx.doi.org/10.3362/2046-1887.17-00005.

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34

Fogg-Rogers, Laura. "Does being human influence science and technology?" Journal of Science Communication 16, no. 04 (2017): C04. http://dx.doi.org/10.22323/2.16040304.

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This article addresses two major questions about women and science. Firstly, the commentary looks at the ways science and technology are discussed and represented all around us in society. Secondly, I ask whether this matters. The defining issue is therefore whether or not being human affects the type of science and technology that is conducted and valued within our society. By addressing these questions in science communication, we can add much to the debate about gender diversity and affirmative action being portrayed in our media and culture.

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35

Adel Albla, Alaulddin. "Influence Technology of Wireless Sensors Network communication." International Journal of Scientific and Research Publications (IJSRP) 11, no. 8 (2021): 478–81. http://dx.doi.org/10.29322/ijsrp.11.08.2021.p11659.

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36

Segrest, Sharon L., Darla J. Domke‐Damonte, Angela K. Miles, and William P. Anthony. "Following the crowd:social influence and technology usage." Journal of Organizational Change Management 11, no. 5 (1998): 425–45. http://dx.doi.org/10.1108/09534819810234841.

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37

Sibanda, Mabutho, and Durrel Ramrathan. "Influence of Information Technology on Organization Strategy." Foundations of Management 9, no. 1 (2017): 191–202. http://dx.doi.org/10.1515/fman-2017-0015.

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AbstractThe exponential development of information technology has presented many opportunities to organizations; however, it has also presented several challenges. A key challenge is how do organizations effectively use information technology and incorporate it into their strategies to make full use of its capabilities as an enabler. The fast-changing nature of information technology has resulted in little empirical evidence on how it influences organization strategy. The Strategic Alignment Model was a popular model created to assist organizations to align their information technology and the

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38

Gates, J. W. C. "The influence of holography on measurement technology." Journal of Physics E: Scientific Instruments 19, no. 12 (1986): 998–1007. http://dx.doi.org/10.1088/0022-3735/19/12/001.

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39

Lahm, Elizabeth A., and Leslie Sizemore. "Factors that Influence Assistive Technology Decision Making." Journal of Special Education Technology 17, no. 1 (2001): 15–26. http://dx.doi.org/10.1177/016264340201700102.

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40

Geetha, Dr V., Dr C. K. Gomathy, and Vijayasimha Vyshnavi. "The Influence of Technology on Contemporary Entrepreneurship." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 09 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem37495.

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In today's dynamic business landscape, technology plays a pivotal role in shaping the entrepreneurial journey. This article explores the multifaceted impact of technology on modern entrepreneurship, delving into how technological advancements have revolutionized business models, streamlined operations, and facilitated innovation. Through a comprehensive analysis of various sectors and industries, this article highlights the transformative power of technology in empowering entrepreneurs to seize opportunities, overcome challenges, and drive sustainable growth in the digital age. Drawing from ex

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41

Kimani, James. "INFLUENCE OF INFORMATION TECHNOLOGY ON PATIENT CARE." Journal of Technology and Systems 3, no. 1 (2021): 22–35. http://dx.doi.org/10.47941/jts.550.

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Purpose: The adoption and application of information technology is essential to reform healthcare and meet the needs of patients in the coming decades. By harnessing the power of information technology for the health care field, we can enhance the effectiveness of the care we provide patient safety, increase workforce productivity and satisfaction, streamline payment-billing and administrative systems, and meet consumer expectations for service and access to information. The general objective of the study was to establish the influence of information technology on patient care Methodology: The

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42

Ejye Omar, Ogenyi. "Retail influence on food technology and innovation." International Journal of Retail & Distribution Management 23, no. 3 (1995): 11–16. http://dx.doi.org/10.1108/09590559510083957.

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43

Wahab, D. A., and T. F. Putra. "Influence of Information Technology on Company Development." IOP Conference Series: Materials Science and Engineering 662 (November 20, 2019): 022073. http://dx.doi.org/10.1088/1757-899x/662/2/022073.

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44

Klein, John J. "The Influence of Technology on Space Strategy." Astropolitics 10, no. 1 (2012): 8–26. http://dx.doi.org/10.1080/14777622.2012.651700.

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45

Loescher, Lois J. "The influence of technology on cancer nursing." Seminars in Oncology Nursing 16, no. 1 (2000): 3–11. http://dx.doi.org/10.1016/s0749-2081(00)80003-0.

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Sharma, Somesh Kumar, Swatantra Vishwakarma, and Nishant Jha. "Prognosis agent technology: influence on manufacturing organizations." International Journal of Advanced Manufacturing Technology 92, no. 1-4 (2017): 435–46. http://dx.doi.org/10.1007/s00170-017-0025-7.

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47

Phan, Dinh Hoang Bach, Paresh Kumar Narayan, R. Eki Rahman, and Akhis R. Hutabarat. "Do financial technology firms influence bank performance?" Pacific-Basin Finance Journal 62 (September 2020): 101210. http://dx.doi.org/10.1016/j.pacfin.2019.101210.

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48

Keefe, Jeffrey H. "Do Unions Influence the Diffusion of Technology?" ILR Review 44, no. 2 (1991): 261–74. http://dx.doi.org/10.1177/001979399104400205.

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49

Linton, Jonathan D. "Technology innovation management's growing influence and impact." Technovation 29, no. 10 (2009): 643–44. http://dx.doi.org/10.1016/j.technovation.2009.07.001.

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50

Lowther, Deborah, Steven M. Ross, and J. Daniel Strahl. "The Influence of Technology on Instructional Practices." International Journal of Knowledge, Culture, and Change Management: Annual Review 6, no. 5 (2006): 131–42. http://dx.doi.org/10.18848/1447-9524/cgp/v06i05/49383.

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