SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Factors inhibiting the adoption of artificial intelligence at organizational-level: a preliminary investigation
0 references·15 citing·38 second hop
Factors inhibiting the adoption of artificial intelligence at organizational-level: a preliminary investigation (2019)Factors inhibiting the adoption of artifi…Unveiling barriers and drivers of AI adoption for digital marketing in Malaysian SMEs (2025)Unveiling barriers and driver…Readiness for artificial intelligence adoption by auditors in emerging countries – a PLS-SEM analysis of Moroccan firms (2025)Readiness for artificial inte…Bridging the gap: inequalities that divide those who can and cannot create sustainable outcomes with AI (2025)Bridging the gap: inequalitie…AI in Companies' Production Processes (2025)AI in Companies' Production P…Barriers to the implementation of artificial intelligence in small and medium sized enterprises: Pilot study (2024)Barriers to the implementatio…AI adoption: a bridge or a barrier? The moderating role of organizational support in the path toward employee well-being (2024)AI adoption: a bridge or a ba…Factors influencing artificial intelligence adoption in the accounting profession: the case of public sector in Kuwait (2023)Factors influencing artificia…Ethical Impacts, Risks and Challenges of Artificial Intelligence Technologies in Business Consulting: A New Modelling Approach Based on Structural Equations (2023)Ethical Impacts, Risks and Ch…AI Implementation Impact on Workforce Productivity : The Role of AI Training and Organizational Adaptation (2023)AI Implementation Impact on W…Structuring the Quest for Strategic Alignment of Artificial Intelligence (AI): A Taxonomy of the Organizational Business Value of AI Use Cases (2022)Structuring the Quest for Str…Truth or Dare? – How can we Influence the Adoption of Artificial Intelligence in Municipalities? (2021)Truth or Dare? – How can we I…Machinelike or Humanlike? A Literature Review of Anthropomorphism in AI-Enabled Technology (2021)Machinelike or Humanlike? A L…Drivers and Inhibitors for Organizations’ Intention to Adopt Artificial Intelligence as a Service (2021)Drivers and Inhibitors for Or…Artificial Intelligence as the core technology for the Digital Transformation process (2021)Artificial Intelligence as th…Analysis Of The Variables Of Intention Of The Adoption And Acceptance Of Artificial Intelligence And Big Data Tools Among Leaders Of Organizations In Morocco: Attempt Of A Theoretical Study (2021)Analysis Of The Variables Of …Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings (1982)Basics of qualitative research : techniques and procedures for developing grounded theory (1998)Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (2010)Pathways to digital entrepreneurship adoption among Malaysian SMEs: Analysing the determinants and technology readiness dynamics (2025)Machines and Mindlessness: Social Responses to Computers (2000)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Using thematic analysis in psychology (2006)Disruption, technology and the question of (artificial) identity (2021)Anthropomorphization and beyond: conceptualizing humanwashing of AI-enabled machines (2022)Artificial Intelligence-Based Conversational Agents in the Indian Banking System: An Adoption and Integration Perspective (2024)The Discovery of Grounded Theory; Strategies for Qualitative Research (1968)Qualitative Data Analysis: An Expanded Sourcebook (1994)Policy initiatives for Artificial Intelligence-enabled government: An analysis of national strategies in Europe (2023)Role of Regulatory Sandboxes and MLOps for AI-Enabled Public Sector Services (2023)Technological, organizational and environmental determinants influencing the intention to adopt GEN-AI of public sector organizations: a cross-country comparative analysis (2025)When to use and how to report the results of PLS-SEM (2018)Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance (2021)Artificial intelligence and knowledge sharing: Contributing factors to organizational performance (2022)User Acceptance of Information Technology: Toward A Unified View1 (2003)Correlation Coefficients: Appropriate Use and Interpretation (2018)Artificial Intelligence Adoption in Sustainable Banking Services: The Critical Role of Technological Literacy (2024)Artificial Intelligence in Small and Medium Enterprises – An Empirical Analysis of Critical Factors (2024)What shapes AI adoption in financial service-oriented contexts? The game-changing role of innovation climate (2025)Artificial Intelligence (AI) Ethics (2020)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)AI in enterprise management: determinants of purchase intention among CEOs without AI experience (2025)Perceived organizational support. (1986)Partial least squares structural equation modeling (PLS-SEM) (2014)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Information Systems Quality and Corporate Sustainability: Unpacking the Interplay of Financial Reporting, Artificial Intelligence, and Green Corporate Governance (2025)The theory of planned behavior (1991)A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (2000)Understanding FinTech Adoption Drivers for Digital Financial Sustainability in Urban and Rural MSMEs (2026)A Coefficient of Agreement for Nominal Scales (1960)Interrater reliability: the kappa statistic (2012)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Emerging generative AI divide: Personal, positional, and resource-based factors associated with use and reasons for non-use (2025)
this work references cited by second hop

References

No references inside the corpus for this window.

Cited by

  • 2021Machinelike or Humanlike? A Literature Review of Anthropomorphism in AI-Enabled Technology75 cited
  • 2021Truth or Dare? – How can we Influence the Adoption of Artificial Intelligence in Municipalities?63 cited
  • 2024AI adoption: a bridge or a barrier? The moderating role of organizational support in the path toward employee well-being52 cited
  • 2023Factors influencing artificial intelligence adoption in the accounting profession: the case of public sector in Kuwait44 cited
  • 2024Barriers to the implementation of artificial intelligence in small and medium sized enterprises: Pilot study44 cited
  • 2025Bridging the gap: inequalities that divide those who can and cannot create sustainable outcomes with AI42 cited
  • 2023AI Implementation Impact on Workforce Productivity : The Role of AI Training and Organizational Adaptation33 cited
  • 2025Unveiling barriers and drivers of AI adoption for digital marketing in Malaysian SMEs29 cited
  • 2025Readiness for artificial intelligence adoption by auditors in emerging countries – a PLS-SEM analysis of Moroccan firms23 cited
  • 2021Drivers and Inhibitors for Organizations’ Intention to Adopt Artificial Intelligence as a Service23 cited
  • 2023Ethical Impacts, Risks and Challenges of Artificial Intelligence Technologies in Business Consulting: A New Modelling Approach Based on Structural Equations20 cited
  • 2022Structuring the Quest for Strategic Alignment of Artificial Intelligence (AI): A Taxonomy of the Organizational Business Value of AI Use Cases

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

16 cited
  • 2025AI in Companies' Production Processes14 cited
  • 2021Artificial Intelligence as the core technology for the Digital Transformation process14 cited
  • 2021Analysis Of The Variables Of Intention Of The Adoption And Acceptance Of Artificial Intelligence And Big Data Tools Among Leaders Of Organizations In Morocco: Attempt Of A Theoretical Study10 cited