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Perceptions of the Impact of AI on Human Resource Management Practices Among Human Resource Managers Working in the Chemical Industry in Saudi Arabia
16 references·0 citing·43 second hopsampled
Perceptions of the Impact of AI on Human Resource Management Practices Among Human Resource Managers Working in the Chemical Industry in Saudi Arabia (2025)Perceptions of the Impact of AI on Human …Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT (2023)Human resource management in …A review of artificial intelligence applications in manufacturing operations (2023)A review of artificial intell…Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example (2022)Partial Least Squares Structu…Can HR adapt to the paradoxes of artificial intelligence? (2022)Can HR adapt to the paradoxes…HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling (2021)HTMT2–an improved criterion f…Legal and human rights issues of AI: Gaps, challenges and vulnerabilities (2020)Legal and human rights issues…Artificial Intelligence and Management: The Automation-Augmentation Paradox (2020)Artificial Intelligence and M…Business model innovation through Industry 4.0: A review (2018)Business model innovation thr…Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion (2017)Discriminant Validity Assessm…A critical look at the use of SEM in international business research (2016)A critical look at the use of…Structural Equation Modeling (2012)Structural Equation ModelingAn assessment of the use of partial least squares structural equation modeling in marketing research (2011)An assessment of the use of p…User Acceptance of Information Technology: Toward A Unified View1 (2003)User Acceptance of Informatio…Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. (1998)Fit indices in covariance str…Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory (1982)Two Structural Equation Model…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Evaluating Structural Equatio…Comparative fit indexes in structural models. (1990)Alternative Ways of Assessing Model Fit (1992)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance (2002)Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance (2007)Exit, Voice and Loyalty: Responses to Decline in Firms, Organizations, and States. (1970)Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)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)On the Evaluation of Structural Equation Models (1988)PLS-SEM: Indeed a Silver Bullet (2011)Partial least squares structural equation modeling (PLS-SEM) (2014)Principles and Practice of Structural Equation Modeling (2012)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)The roles of initial trust and perceived risk in public’s acceptance of automated vehicles (2018)Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis (2023)Teachers’ AI-TPACK: Exploring the Relationship between Knowledge Elements (2024)Discipline and Punish: The Birth of the Prison (1978)The myopia of learning (1993)Business Dynamics: Systems Thinking and Modeling for a Complex World (2000)Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance (2021)Unlocking the value of artificial intelligence in human resource management through AI capability framework (2022)When and How Artificial Intelligence Augments Employee Creativity (2023)The partial least squares approach for structural equation modeling. (1998)Progress in partial least squares structural equation modeling use in marketing research in the last decade (2022)Improving PLS-SEM use for business marketing research (2023)Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations (2023)A General Approach to Confirmatory Maximum Likelihood Factor Analysis (1969)Intraclass Reliability Estimates: Testing Structural Assumptions (1974)Significance tests and goodness of fit in the analysis of covariance structures. (1980)When to use and how to report the results of PLS-SEM (2018)Factors Influencing Learner Attitudes Towards ChatGPT-Assisted Language Learning in Higher Education (2023)RETRACTED ARTICLE: Impact of artificial intelligence on human loss in decision making, laziness and safety in education (2023)Understanding Behavioral Intention to Use of Air Quality Monitoring Solutions with Emphasis on Technology Readiness (2024)Firm Resources and Sustained Competitive Advantage (1991)How Many Interviews Are Enough? (2005)Artificial intelligence in logistics and supply chain management: A primer and roadmap for research (2023)Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations (2023)Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives (2024)
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References

  • 1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error113,385 cited
  • 2003User Acceptance of Information Technology: Toward A Unified View148,734 cited
  • 1998Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification.12,432 cited
  • 2011An assessment of the use of partial least squares structural equation modeling in marketing research8,372 cited
  • 1982Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory4,516 cited
  • 2022Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example4,072 cited
  • 2020Artificial Intelligence and Management: The Automation-Augmentation Paradox3,508 cited
  • 2017Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion1,720 cited
  • 2023Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT1,075 cited
  • 2021HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling767 cited
  • 2016A critical look at the use of SEM in international business research643 cited
  • 2020Legal and human rights issues of AI: Gaps, challenges and vulnerabilities570 cited
  • 2012Structural Equation Modeling511 cited

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2018
Business model innovation through Industry 4.0: A review
481 cited
  • 2022Can HR adapt to the paradoxes of artificial intelligence?372 cited
  • 2023A review of artificial intelligence applications in manufacturing operations331 cited
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