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The Use of Technology Assisted by Artificial Intelligence Depending on the Companies’ Digital Maturity Level
16 references·0 citing·49 second hopsampled
The Use of Technology Assisted by Artificial Intelligence Depending on the Companies’ Digital Maturity Level (2024)The Use of Technology Assisted by Artific…Exploring artificial intelligence adoption in public organizations: a comparative case study (2022)Exploring artificial intellig…Digital transformation and European small and medium enterprises (SMEs): A comparative study using digital economy and society index data (2022)Digital transformation and Eu…Digital orientation, digital maturity, and digital intensity: determinants of financial success in digital transformation settings (2022)Digital orientation, digital …Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence (2022)Artificial intelligence ethic…Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021)Understanding managers’ attit…Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm’s operational inefficiency and competitiveness (2021)Understanding dark side of ar…Ethics and privacy of artificial intelligence: Understandings from bibliometrics (2021)Ethics and privacy of artific…Ethical Management of Artificial Intelligence (2021)Ethical Management of Artific…Building skills in the context of digital transformation: How industry digital maturity drives proactive skill development (2021)Building skills in the contex…Artificial Intelligence and Business Value: a Literature Review (2021)Artificial Intelligence and B…Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization (2020)Rising with the machines: A s…Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects (2020)Influence of artificial intel…Explore success factors that impact artificial intelligence adoption on telecom industry in China (2020)Explore success factors that …Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)Artificial intelligence and b…Role of fairness, accountability, and transparency in algorithmic affordance (2019)Role of fairness, accountabil…Qualitative research: deductive and inductive approaches to data analysis (2018)Qualitative research: deducti…Qualitative research and evaluation methods (1980)Qualitative Data Analysis: An Expanded Sourcebook (1994)Using thematic analysis in psychology (2006)Constructing a smart destination framework: A destination marketing organization perspective (2022)Filial piety and older adult caregiving among Chinese and Chinese-American families in the United States: a concept analysis (2024)Qualitative Data Analysis (2024)Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms (2016)The ethics of algorithms: Mapping the debate (2016)Algorithms as work designers: How algorithmic management influences the design of jobs (2021)Trustworthy Artificial Intelligence: A Review (2022)The Ethics of Artificial Intelligence (2023)A resource‐based view of the firm (1984)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (2003)AI-employee collaboration and business performance: Integrating knowledge-based view, socio-technical systems and organisational socialisation framework (2022)Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of AI applications (2023)Exploration and Exploitation in Organizational Learning (1991)Toward a knowledge‐based theory of the firm (1996)The future of employment: How susceptible are jobs to computerisation? 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A systematic literature review on algorithm aversion (2021)A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice (2023)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Thinking responsibly about responsible AI and ‘the dark side’ of AI (2022)The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT (2023)Cochrane Handbook for Systematic Reviews of Interventions (2008)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)Digital Innovation Management: Reinventing Innovation Management Research in a Digital World (2017)Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges (2023)Case Study Research and Applications: Design and Methods (2017)Implementing AI in the public sector (2023)Organizing public sector AI adoption: Navigating between separation and integration (2023)The Adoption and Implementation of Artificial Intelligence Chatbots in Public Organizations: Evidence from U.S. State Governments (2023)Specification Tests in Econometrics (1978)A simple panel unit root test in the presence of cross‐section dependence (2007)Understanding digital transformation: A review and a research agenda (2019)Synergistic effect of pollution reduction and carbon emission mitigation in the digital economy (2023)How does the digital transformation drive digital technology innovation of enterprises? Evidence from enterprise's digital patents (2024)The key role of innovation and organizational resilience in improving business performance: A mixed-methods approach (2024)
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References

  • 2020Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects1,277 cited
  • 2018Qualitative research: deductive and inductive approaches to data analysis1,258 cited
  • 2020Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review1,102 cited
  • 2021Artificial Intelligence and Business Value: a Literature Review1,041 cited
  • 2020Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization776 cited
  • 2019Role of fairness, accountability, and transparency in algorithmic affordance643 cited
  • 2021Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making566 cited
  • 2022Exploring artificial intelligence adoption in public organizations: a comparative case study448 cited
  • 2021Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm’s operational inefficiency and competitiveness405 cited
  • 2022Digital transformation and European small and medium enterprises (SMEs): A comparative study using digital economy and society index data395 cited
  • 2020Explore success factors that impact artificial intelligence adoption on telecom industry in China298 cited
  • 2022Digital orientation, digital maturity, and digital intensity: determinants of financial success in digital transformation settings209 cited

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2022
Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence
208 cited
  • 2021Ethical Management of Artificial Intelligence174 cited
  • 2021Building skills in the context of digital transformation: How industry digital maturity drives proactive skill development153 cited
  • 2021Ethics and privacy of artificial intelligence: Understandings from bibliometrics135 cited
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