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Factors that Influence the Acceptance of Internet of Things Services by Customers of Telecommunication Companies in Jordan
15 references·16 citing·39 second hopsampled
Factors that Influence the Acceptance of Internet of Things Services by Customers of Telecommunication Companies in Jordan (2018)Factors that Influence the Acceptance of …M-Banking in Metropolitan Bangkok and a Comparison with other Countries (2015)M-Banking in Metropolitan Ban…An acceptance model for smart watches (2015)An acceptance model for smart…Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study (2014)Critical factors for cloud ba…An Application of the UTAUT Model for Understanding Student Perceptions Using Course Management Software (2014)An Application of the UTAUT M…A unified perspective on the factors influencing consumer acceptance of internet of things technology (2014)A unified perspective on the …An Integrated Adoption Model of Mobile Cloud Services: Exploration of Key Determinants and Extension of Technology Acceptance Model (2013)An Integrated Adoption Model …User acceptance of mobile e-government services: An empirical study (2012)User acceptance of mobile e-g…Developing an explorative model for SaaS adoption (2011)Developing an explorative mod…Why do people play social network games? 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(2003)Consumer cosmopolitanism: Review and replication of the CYMYC scale (2008)Communicating Actionable Risk for Terrorism and Other Hazards ⋆ (2011)Antecedents of social media usage and performance benefits in small- and medium-sized enterprises (SMEs) (2017)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model (2004)A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents (2007)Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories (2006)Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation (2008)Integrating TTF and UTAUT to explain mobile banking user adoption (2010)Trust and TAM in Online Shopping: An Integrated Model1 (2003)Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study (2010)Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning (2013)The influence of learning value on learning management system use (2015)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2003User Acceptance of Information Technology: Toward A Unified View144,945 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies22,991 cited
  • 2004Building Effective Online Marketplaces with Institution-Based Trust2,511 cited
  • 2004Toward an understanding of the behavioral intention to use mobile banking1,963 cited
  • 2004A Prospective and Retrospective Look at the Diffusion Model768 cited
  • 2014A unified perspective on the factors influencing consumer acceptance of internet of things technology506 cited
  • 2015An acceptance model for smart watches487 cited
  • 2014An Application of the UTAUT Model for Understanding Student Perceptions Using Course Management Software407 cited
  • 2012User acceptance of mobile e-government services: An empirical study306 cited
  • 2013An Integrated Adoption Model of Mobile Cloud Services: Exploration of Key Determinants and Extension of Technology Acceptance Model296 cited
  • 2010Why do people play social network games?264 cited
  • 2014Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study245 cited
  • 2015M-Banking in Metropolitan Bangkok and a Comparison with other Countries229 cited
  • 2011Developing an explorative model for SaaS adoption191 cited

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  • 2008Understanding consumer adoption of broadband: an extension of the technology acceptance model149 cited
  • Cited by

    • 2022Strategies to overcome barriers to innovative digitalisation technologies for supply chain logistics resilience during pandemic169 cited
    • 2022Evaluating Organizational Level IT Innovation Adoption Factors among Global Firms74 cited
    • 2022Understanding User Acceptance of IoT Based Healthcare in Jordan: Integration of the TTF and TAM48 cited
    • 2023Adoption of Internet of Things: A systematic literature review and future research agenda47 cited
    • 2022Towards the Development of Smart and Sustainable Transportation System for Foodservice Industry: Modelling Factors Influencing Customer’s Intention to Adopt Drone Food Delivery (DFD) Services47 cited
    • 2021Determinants of e-commerce satisfaction: a comparative study between Romania and Moldova45 cited
    • 2021User Value Identification Based on Improved RFM Model and K‐Means++ Algorithm for Complex Data Analysis33 cited
    • 2022Big Data Analysis Research on the Deep Integration of Intangible Cultural Heritage Inheritance and Art Design Education in Colleges and Universities32 cited
    • 2022What insisted baby boomers adopt unified payment interface as a payment mechanism?: an exploration of drivers of behavioral intention31 cited
    • 2022An Integrated Success Model of Internet of Things (IoT)-Based Services in Facilities Management for Public Sector26 cited
    • 2024The effect of technological context on smart home adoption in Jordan19 cited
    • 2020Smart University:IoT adoption model18 cited
    • 2023Analyzing factors influencing IoT adoption in higher educational institutions in Saudi Arabia using a modified TAM model17 cited
    • 2024Adoption of chatgpt in educational institutions in Botswana: A customer perspective16 cited
    • 2023Examining IoT-Based Smart Campus Adoption Model: An Investigation Using Two-Stage Analysis Comprising Structural Equation Modelling and Artificial Neural Network15 cited
    • 2020Smart University: Big Data adoption model15 cited