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Artificial Intelligence as a Vehicle for Innovation : Literature Review and Bibliometric Study

원문정보

Reema Khurana

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초록

영어

Artificial Intelligence has been a conceptual area for several decades. It has been studied extensively through experiments by the Information Systems community. When Information Systems supported with Information Technology became all pervasive in business and other allied areas, gradually the advancements in Artificial Intelligence also emerged as innovations across domains. Artificial Intelligence by definition is expected to substitute Human Intelligence, thereby making a huge space for innovation. In fact, all processes effected by human intelligence are liable to be replaced by AI which in itself is a massive innovation space. This paper will study the publication’s repository (Scopus and Google Scholar from 1983 till 2021) in the area of Artificial Intelligence and innovation, then analyze the trend to gain insight into the evolution of AI as a vehicle for innovation.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Review
Ⅲ. Methodology
3.1. Bibliometric Search
3.2. Bibliometric Analysis
Ⅳ. Results and Discussions
4.1. Summary of Quantitative Results
4.2. Publication Trends (Year-Wise) (RQ1)
4.3. Publication outlet (RQ2)
4.4. Publication Performance (RQ2)
4.5. Most Productive Authors (RQ3)
4.6. Most Productive Regions/Countries (RQ3)
4.7. Most Productive Institutions (RQ3)
4.8. Research Themes (RQ4)
4.9. Keyword Co-occurrence (RQ4)
Ⅴ. Results and Reflections
Ⅵ. Avenues for Future Research(RQ5)
6.1. Application of Artificial Intelligence and Innovation to Different Domains in Research and Practice
6.2. Quantitative Research in Varied Domains of Business
6.3. Involvement of Strategic Management Team
6.4. Design Thinking & Problem Solving Skills for AI and Innovation
6.5. Potential geographies, institutions and authors for collaboration
Ⅶ. Limitations of study
Ⅷ. Conclusion

저자정보

  • Reema Khurana Professor, Institute of Management Technology, India

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