@proceedings {7265,
	title = {A Scientometric Framework: Application for Knowledge Management (KM) in Industry Between 2014 and 2019},
	journal = {The Twelfth International Conference on Information, Process, and Knowledge Management (eKNOW 2020)},
	year = {2020},
	abstract = {It is always difficult to identify the most recent works that have been published, especially those published in recent years, due to delays in putting publications online, citations indexe, etc. Scientometry offers to researchers various concepts, models and techniques that can be applied to knowledge management (KM) in order to explore its foundations, its state, its intellectual core, and its potential future development. To this end, we have developed a scientometric KM framework to calculate the scientometric indexes related to a query introduced in the Scopus database, to facilitate research and monitoring of productivity and collaboration between the authors of KM in particular and also the dissemination of knowledge. The works between 2014 and 2019 are taken, the industry of services was omitted. It might help the decision makers and researchers to optimize their time and efforts. We used Unified Modeling Language (UML) to translate the development ideas of the scientometric framework structure into diagrams, and Delphi 7 to calculate the indexes and ensure other operations of research (about: articles, their authors, conferences, etc). This framework is only valid for Excel files extracted from Scopus or similar format. Finally, the relation between KM and industry 4.0 was established on found articles in Scopus.},
	url = {http://personales.upv.es/thinkmind/dl/conferences/eknow/eknow_2020/eknow_2020_1_10_68003.pdf},
	author = {Samia Aitouche and Sahraoui, Khaoula and AKSA, Karima and Djouggane, Fadhila and Cherrid, Walid and Belayati, Souleyman}
}
