The Comparison of Three Major Occupations for User Acceptance of Information Technology: Applying the UTAUT Model

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"The Comparison of Three Major Occupations for User Acceptance of Information Technology: Applying the UTAUT Model"
written by Yu Shan Cheng, Tsai Fang Yu, Chin Feng Huang, Chien Yu, Chin Cheh Yu,
published by iBusiness, Vol.3 No.2, 2011

has been cited by the following article(s):

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[4]	Factors impacting behavioural intentions to adopt the electronic marketplace: findings from small businesses in India
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[12]	Mobile Learning Adoption at a Science Museum
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[15]	Mobile Apps Use and WOM in the Food Delivery Sector: The Role of Planned Behavior, Perceived Security and Customer Lifestyle Compatibility
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[16]	Investigating Strategies for Robot Persuasion in Social Human-Robot Interaction
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[18]	Military Reserve Service Member's Attitudes Towards Using Technology and Their Behavioral Intention to Take Online College Classes
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[19]	A PILOT STUDY ON THE FACTORS AFFECTING ON THE ACTUAL USAGE OF LMS IN EDUCATION SECTOR IN SAUDI ARABIA
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[20]	Effect of gaming on behavioral intention to use online training: an adjustment of the UTAUT model applied to TRT-2
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[21]	Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis With the Unified Theory of Acceptance and Use of Technology Model
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[22]	Influence of Pre-service and In-service Teachers' Gender and Experience on the Acceptance of AR Technology
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[23]	Habit and hedonic motivation are the strongest influences in mobile learning behaviours among higher education students in Malaysia
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[30]	The use of computerised accounting systems among accountants on small and micro businesses in Xi'an, Shaan Xi of China
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[33]	THE USE OF COMPUTERISED ACCOUNTING SYSTEMS AMONG ACCOUNTANTS IN SMALL AND MICRO BUSINESSES IN XI'AN, SHAAN XI OF CHINA
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[37]	Examining Small Business Adoption of Computerized Accounting Systems Using the Technology Acceptance Model
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[40]	Examining Small Business Adoption of Computerized Accounting Systems Using the Technology Adoption Model
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[42]	PERCEPTIONS TOWARDS THE USE OF DIGITAL EDUCATIONAL RESOURCES: A PERSPECTIVE OF COLOMBIAN TEACHERS
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[43]	Exploring user expectancy with regard to the use of institutional repositories among university academics in Indonesia: A case study at Syarif Hidayatullah State …
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[44]	Small retail business information technology: Perceived value of point of sale systems to the small business owner
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[45]	Technology and education: A quantitative study of the acceptance of gaming as a teaching tool using the Unified Theory of Acceptance and Use of Technology …
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[46]	Factors influencing on acceptance of digital library by faculty members of agricultural educational and research institutions in Guilan Province.
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[47]	Drivers of mobile payment acceptance: The impact of network externalities
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[48]	Continuance intention model for mobile banking
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[49]	عوامل مؤثر بر پذیرش کتابخانة دیجیتال توسط اعضای هیئت علمی مراکز آموزش و پژوهش کشاورزی در استان گیلان‎
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[50]	Using Unified Theory of Acceptance and Use of Technology Model to Predict Students' Behavioral Intention to Adopt and Use E-Counseling in Ghana
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[51]	Towards students' behavioral intention to adopt and use e-counseling: An empirical approach of using Unified Theory of Acceptance and Use of Technology model
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[52]	The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of acceptance and use of technology
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[53]	Technology and education: A quantitative study of the acceptance of gaming as a teaching tool using the Unified Theory of Acceptance and Use of Technology ( …
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[54]	The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of …
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[55]	Smart learning adoption in employees and HRD managers
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[56]	The effect of using collaborative technology on the banking knowledge management: case of Tunisian banks with mixed capital
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[57]	Using social networking to facilitate virtual knowledge sharing
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[58]	Investigating the influence of psychological ownership and resistance on usage intention among physicians
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[59]	Are personal innovativeness and social influence critical to continue with mobile commerce?
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[60]	The examination of factors influencing social media usage by African American small business owners using the UTAUT model
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[61]	Antecedents of international mobile Internet tariff type preferences: an empirical study of roaming customers
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[62]	Review of studies with UTAUT as conceptual framework
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[63]	Management consultants' accceptance of internet technology: An empirical study of the determinants of web analytics technology acceptance
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[64]	자동차 보험 거래에 있어서 전자적 채널 이용 의도의 영향 요인: UTAUT 모델의 응용
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[66]	자동차 보험 거래에 있어서 전자적 채널 이용의도의 영향 요인
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[67]	Examining the Effect of Learning Styles on Mobile Learning Adoption
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[68]	Student behavioural intentions to use desktop video conferencing in a distance course: integration of autonomy to the UTAUT model
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[69]	The use of Manager Self–Service (MSS) HR portals in MNCs: the influence of attitudinal, normative, behavioural and national cultural factors
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[70]	Factors affecting adoption of eHealth in Egypt
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[71]	The use of Manager Self-Service (MSS) HR portals in MNCs: the influence of attitudinal, normative, behavioural and national cultural factors
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[72]	자동차 보험 거래에 있어서 전자적 채널 이용 의도의 영향 요인
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[73]	Influential Factors of Employees' Acceptance and Use of ITSM in Chinese Banks Based on Empirical Study.
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[74]	UMAM-Q: An instrument to assess the intention to use software development methodologies
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[75]	Influential Factors of Employees' Acceptance and Use of ITSM in Chinese Banks Based on Empirical Study
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[76]	DETERMINANTS OF BEHAVIORAL INTENTION FOR INTERACTIVE DATA EXTRACTION ANALYSIS (IDEA) AMONG TAX AUDITORS IN SARAWAK STATE …


[77]	FACTORS INFLUENCING BEHAVIORAL INTENTION TO USE TAX E-LEJAR SERVICE AMONG SALARIED TAXPAYERS IN MALAYSIA

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[5]	Customer adoption of p2p mobile payment systems: The role of perceived risk Telematics and Informatics, 2022 DOI:10.1016/j.tele.2022.101851

[6]	Customer adoption of p2p mobile payment systems: The role of perceived risk Telematics and Informatics, 2022 DOI:10.1016/j.tele.2022.101851

[7]	Effects of a Motion Graphic on Escalator Safety on College Students’ Behavioural Intention, Determined Using the Unified Theory of Acceptance and Use of Technology Education and Information Technologies, 2022 DOI:10.1007/s10639-022-11195-1

[8]	Factors impacting behavioural intentions to adopt the electronic marketplace: findings from small businesses in India Electronic Markets, 2022 DOI:10.1007/s12525-022-00578-4

[9]	Investigating Strategies for Robot Persuasion in Social Human–Robot Interaction IEEE Transactions on Cybernetics, 2022 DOI:10.1109/TCYB.2020.2987463

[10]	Exploring UTAUT Model in Mobile 4.5G Service: Moderating Social–Economic Effects of Gender and Awareness Social Sciences, 2022 DOI:10.3390/socsci11050187

[11]	Customer adoption of p2p mobile payment systems: The role of perceived risk Telematics and Informatics, 2022 DOI:10.1016/j.tele.2022.101851

[12]	High school students’ acceptance and use of mobile technology in learning mathematics Education and Information Technologies, 2021 DOI:10.1007/s10639-021-10466-7

[13]	Understanding Factors That Influence Consumer Intention to Use Mobile Money Services: An Application of UTAUT2 With Perceived Risk and Trust SAGE Open, 2021 DOI:10.1177/21582440211023188

[14]	User Acceptance of Shuttle Bus Decision Support System Based on Smartphone Probes SAGE Open, 2020 DOI:10.1177/2158244020919527

[15]	Mobile Apps Use and WOM in the Food Delivery Sector: The Role of Planned Behavior, Perceived Security and Customer Lifestyle Compatibility Sustainability, 2020 DOI:10.3390/su12104275

[16]	Mobile Learning for Just-in-Time Knowledge Acquisition in a Workplace Environment 2020 3rd International Conference on Information and Computer Technologies (ICICT), 2020 DOI:10.1109/ICICT50521.2020.00038

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[18]	Additive Manufacturing 2020 DOI:10.4018/978-1-5225-9624-0.ch006

[19]	How the Type of Job Position Influences Technology Acceptance: A Study of Employees’ Intention to Use Mobile Technologies for Knowledge Transfer IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2957205

[20]	ICT Infrastructure Set and Adoption of Filipino and Indonesian SHS Students: Application of UTAUT 2019 Fourth International Conference on Informatics and Computing (ICIC), 2019 DOI:10.1109/ICIC47613.2019.8985830

[21]	Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model International Journal of Innovation and Technology Management, 2019 DOI:10.1142/S0219877019500433

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[25]	User Acceptance of Technologies in Their Infancy Journal of Organizational and End User Computing, 2017 DOI:10.4018/JOEUC.2017040101

[26]	The effects of successful ICT-based smart city services: From citizens' perspectives Government Information Quarterly, 2017 DOI:10.1016/j.giq.2017.05.001

[27]	Relating personality (Big Five) to the core constructs of the Unified Theory of Acceptance and Use of Technology Journal of Computers in Education, 2017 DOI:10.1007/s40692-017-0086-5

[28]	Drivers of mobile payment acceptance: The impact of network externalities Information Systems Frontiers, 2016 DOI:10.1007/s10796-015-9598-6

[29]	Student intention to use desktop web-conferencing according to course delivery modes in higher education The International Journal of Management Education, 2016 DOI:10.1016/j.ijme.2016.04.001

[30]	Effect of u-healthcare service quality on usage intention in a healthcare service Technological Forecasting and Social Change, 2016 DOI:10.1016/j.techfore.2016.07.030

[31]	Drivers of mobile payment acceptance: The impact of network externalities Information Systems Frontiers, 2016 DOI:10.1007/s10796-015-9598-6

[32]	Towards students' behavioral intention to adopt and use e-counseling: An empirical approach of using Unified Theory of Acceptance and Use of Technology model AFRICON 2015, 2015 DOI:10.1109/AFRCON.2015.7331926

[33]	Antecedents of international mobile Internet tariff type preferences : an empirical study of roaming customers info, 2014 DOI:10.1108/info-02-2014-0007

[34]	Smart learning adoption in employees and HRD managers British Journal of Educational Technology, 2014 DOI:10.1111/bjet.12210

[35]	Are personal innovativeness and social influence critical to continue with mobile commerce? Internet Research, 2014 DOI:10.1108/IntR-05-2012-0100

[36]	Investigating the Influence of Psychological Ownership and Resistance on Usage Intention among Physicians 2014 47th Hawaii International Conference on System Sciences, 2014 DOI:10.1109/HICSS.2014.351

[37]	Smart learning adoption in employees and HRD managers British Journal of Educational Technology, 2014 DOI:10.1111/bjet.12210

[38]	Examining the Effect of Learning Styles on Mobile Learning Adoption 2013 IEEE 13th International Conference on Advanced Learning Technologies, 2013 DOI:10.1109/ICALT.2013.168

[39]	Determinants of Intention to Use Electronic Channel of Automobile Insurance: Applying the UTAUT Model The Journal of Information Systems, 2013 DOI:10.5859/KAIS.2013.22.1.181

[40]	Student behavioural intentions to use desktop video conferencing in a distance course: integration of autonomy to the UTAUT model Journal of Computing in Higher Education, 2013 DOI:10.1007/s12528-013-9069-3

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