Cite Article
Cite Article
MLA
Pisoni, Galena, and Bálint Molnár. "AI-Based Solution for Sustainability Tracing for Companies." IJKM vol.20, no.1 2024: pp.1-17. http://doi.org/10.4018/IJKM.340723
APA
Pisoni, G. & Molnár, B. (2024). AI-Based Solution for Sustainability Tracing for Companies. International Journal of Knowledge Management (IJKM), 20 (1), 1-17. http://doi.org/10.4018/IJKM.340723
Chicago
Pisoni, Galena, and Bálint Molnár. "AI-Based Solution for Sustainability Tracing for Companies," International Journal of Knowledge Management (IJKM) 20, no.1: 1-17. http://doi.org/10.4018/IJKM.340723
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International Journal of Knowledge Management (IJKM) The
International Journal of Knowledge Management (IJKM) provides a forum for academics, researchers, and educators to analyze global aspects of knowledge management from differing cultural perspectives and their use of knowledge and knowledge management. Covering all aspects of knowledge regulation and order including organizational issues, technology support, knowledge representation, and more, IJKM focuses on the technical issues associated with the creation and implementation of knowledge systems utilizing artificial intelligence, entrepreneurial, and innovative initiatives. As a result of its comprehensive coverage and expanding list of contributors from countries such as Australia, Germany, Hong Kong, New Zealand, the U.S., and more, this journal is recognized by many prestigious indices including, but not limited to, Web of Science Emerging Sources Citation Index® (ESCI), Scopus®, Compendex® (Elsevier Engineering Index), and PsycINFO®. Led by editor Dr. Mehdi Khosrow-Pour, IJKM is a premier resource in the field of Library and Information Science.
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