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

  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 권호(발행년)
    제32권 제4호 (2022.12) 바로가기
  • 페이지
    pp.916-944
  • 저자
    Reema Khurana
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A423722

원문정보

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

저자

  • Reema Khurana [ Professor, Institute of Management Technology, India ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      Asia Pacific Journal of Information Systems
    • 간기
      계간
    • pISSN
      2288-5404
    • eISSN
      2288-6818
    • 수록기간
      1990~2026
    • 등재여부
      KCI 등재,SCOPUS
    • 십진분류
      KDC 325 DDC 658