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Understanding Recruiters’ Acceptance of Artificial Intelligence: Insights from the Technology Acceptance Model
16 references·4 citing·37 second hop
Understanding Recruiters’ Acceptance of Artificial Intelligence: Insights from the Technology Acceptance Model (2025)Understanding Recruiters’ Acceptance of A…The Technology Acceptance Model (2024)The Technology Acceptance Mod…Common Method Bias: It's Bad, It's Complex, It's Widespread, and It's Not Easy to Fix (2023)Common Method Bias: It's Bad,…What factors contribute to the acceptance of artificial intelligence? A systematic review (2022)What factors contribute to th…Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda (2022)Artificial intelligence – cha…Opportunities and risks of artificial intelligence in recruitment and selection (2021)Opportunities and risks of ar…Human Trust in Artificial Intelligence: Review of Empirical Research (2020)Human Trust in Artificial Int…Marketing AI recruitment: The next phase in job application and selection (2018)Marketing AI recruitment: The…Modelagem de Equações Estruturais Baseada em Covariância (CB-SEM) com o AMOS: Orientações sobre a sua aplicação como uma Ferramenta de Pesquisa de Marketing (2014)Modelagem de Equações Estrutu…Technology Acceptance Model 3 and a Research Agenda on Interventions (2008)Technology Acceptance Model 3…Analyzing Qualitative Data (2007)Analyzing Qualitative DataA meta-analysis of the technology acceptance model (2006)A meta-analysis of the techno…Método de análise de conteúdo: ferramenta para a análise de dados qualitativos no campo da saúde (2004)Método de análise de conteúdo…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…User Acceptance of Information Technology: Toward a Unified View (2003)User Acceptance of Informatio…A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)A Theoretical Extension of th…Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Perceived Usefulness, Perceiv…Navigating workplace AI adoption: The influence of perceptions and affective attitudes on employees’ intentions to use AI at work (2026)Navigating workplace AI adopt…Role of artificial intelligence in employee recruitment: systematic review and future research directions (2025)Role of artificial intelligen…Mindfulness and AI adoption: extending the technology acceptance model for Chinese media students (2025)Mindfulness and AI adoption: …Linking AI-driven HRM and emotional intelligence to leadership effectiveness and employee performance (2025)Linking AI-driven HRM and emo…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy mechanism in human agency. (1982)User Acceptance of Computer Technology: A Comparison of Two Theoretical Models (1989)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)The theory of planned behavior (1991)Older Adults' Reasons for Using Technology while Aging in Place (2015)Diffusion of Innovations 1 (2019)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead (2016)Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2017)The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education (2018)A power primer. (1992)The Technology Acceptance Model: Its past and its future in health care (2009)Technology acceptance model: a literature review from 1986 to 2013 (2014)Brave new world: service robots in the frontline (2018)An Integrative Model Of Organizational Trust (1995)Not So Different After All: A Cross-Discipline View Of Trust (1998)Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education (2022)Trust in AI and Its Role in the Acceptance of AI Technologies (2022)Unlocking the value of artificial intelligence in human resource management through AI capability framework (2022)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)Cyberpsychology Journal of Psychosocial Research on Cyberspace (2020)Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework (2023)Revolutionizing education: Artificial intelligence empowered learning in higher education (2023)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural Equations with Latent Variables (1989)A typology of validity: content, face, convergent, discriminant, nomological and predictive validity (2024)Can Harman’s single-factor test reliably distinguish between research designs? Not in published management studies (2024)Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework (2024)Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 (2012)The Technology Acceptance Model: Past, Present, and Future (2003)Quo vadis TAM? (2007)Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology (2012)A Practical Iterative Framework for Qualitative Data Analysis (2009)Comparison of Quantitative and Qualitative Research Traditions: epistemological, theoretical, and methodological differences (2013)Using Qualitative Evidence in Decision Making for Health and Social Interventions: An Approach to Assess Confidence in Findings from Qualitative Evidence Syntheses (GRADE-CERQual) (2015)
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References

  • 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology75,250 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View148,734 cited
  • 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies24,321 cited
  • 2008Technology Acceptance Model 3 and a Research Agenda on Interventions8,648 cited
  • 2007Analyzing Qualitative Data4,554 cited
  • 2020Human Trust in Artificial Intelligence: Review of Empirical Research3,634 cited
  • 2003User Acceptance of Information Technology: Toward a Unified View3,068 cited
  • 2006A meta-analysis of the technology acceptance model3,000 cited
  • 2023Common Method Bias: It's Bad, It's Complex, It's Widespread, and It's Not Easy to Fix2,098 cited
  • 2022What factors contribute to the acceptance of artificial intelligence? A systematic review1,187 cited
  • 2014Modelagem de Equações Estruturais Baseada em Covariância (CB-SEM) com o AMOS: Orientações sobre a sua aplicação como uma Ferramenta de Pesquisa de Marketing1,141 cited
  • 2022Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda855 cited
  • 2004Método de análise de conteúdo: ferramenta para a análise de dados qualitativos no campo da saúde461 cited
  • 2018Marketing AI recruitment: The next phase in job application and selection

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389 cited
  • 2024The Technology Acceptance Model383 cited
  • 2021Opportunities and risks of artificial intelligence in recruitment and selection346 cited
  • Cited by

    • 2025Linking AI-driven HRM and emotional intelligence to leadership effectiveness and employee performance31 cited
    • 2025Role of artificial intelligence in employee recruitment: systematic review and future research directions29 cited
    • 2025Mindfulness and AI adoption: extending the technology acceptance model for Chinese media students7 cited
    • 2026Navigating workplace AI adoption: The influence of perceptions and affective attitudes on employees’ intentions to use AI at work5 cited