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Examining Readiness to Buy Fashion Products Authenticated with Blockchain
16 references·0 citing·37 second hop
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Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1 (2000)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Structural Equation Modeling in Information Systems Research Using Partial Least Squares (2010)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Google classroom: insights from Malaysian higher education students’ and instructors’ experiences (2020)Remodelling the role of facilitating conditions for Google Classroom acceptance: A revision of UTAUT2 (2021)Factors influencing graduate students’ behavioral intention to use Google Classroom: Case study-mixed methods research (2022)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The magical number seven, plus or minus two: Some limits on our capacity for processing information. 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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology68,271 cited
  • 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology115,720 cited
  • 2002Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior3,203 cited
  • 2007How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance12,320 cited
  • 2020The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation657 cited
  • 2013Preservice Teachers’ Acceptance of Learning Management Software: An Application of the UTAUT2 Model328 cited
  • 2022Meta-Analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT): Challenging its Validity and Charting A Research Agenda in the Red Ocean295 cited
  • 2020Blockchain technology in supply chain management: an empirical study of the factors affecting user adoption/acceptance249 cited
  • 2019Google Classroom for mobile learning in higher education: Modelling the initial perceptions of students224 cited
  • 2023Generations: The Real Differences between Gen Z, Millennials, Gen X, Boomers, and Silents—and What They Mean for America’s Future186 cited
  • 2022Implementation of Digitalized Technologies for Fashion Industry 4.0: Opportunities and Challenges148 cited
  • 2020Identifying relevant segments of AI applications adopters – Expanding the UTAUT2’s variables145 cited

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2011
Modeling the electronic transactions acceptance using an extended technology acceptance model
143 cited
  • 2018Designing a roadmap towards a sustainable supply chain: A focus on the fashion industry112 cited
  • 2021Millennials and Generation Z: a generational cohort analysis of Indian consumers110 cited
  • 2021Understanding Factors That Influence Consumer Intention to Use Mobile Money Services: An Application of UTAUT2 With Perceived Risk and Trust104 cited
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