Identifying the components of artificial intelligence in the implementation of knowledge management

Document Type : Original Article

Authors

1 MSc of Tarbiat Modares University of Tehran

2 Msc of Tarbiat Modares University

3 PhD Student of University of Qom

Abstract

Purpose: The present research was conducted in order to identify the components of artificial intelligence in the implementation of knowledge management.

Methodology: In terms of purpose, the present research is practical and in terms of the method of collecting information, it is part of field library research. In terms of method, this research is one of the descriptive-composite researches that have been used through Delphi survey and content analysis. The statistical population of the present study includes 40 professors of information science and philology of Tehran state universities and doctoral students who were selected through purposive sampling. A questionnaire was used to collect information. Descriptive statistics (mean and percentage) were used for data analysis, and spss 25 software was used for statistical data analysis.

Findings: The findings showed that the components of artificial intelligence include the performance component of artificial intelligence, which includes 6 items, the most important of which is pattern recognition and pattern reset to answer problems based on knowledge. Previous; The component of hardware and software facilities includes 14 items, the most important of which are the items of communication and conversation facilities online and writing software; The attitude component of the organization's people includes 6 items, the most important of which is the item of the important role of the motivation factor in the progress of people in working with computers; ; The component of measuring the skill level of the organization's people includes 13 items, the most important of which is familiarity with office software; The component of economic factors has 7 items, the measure of which is the cost of equipping the organization with hardware, the component of cultural factors includes 6 items, the most important of which is trust; The information technology component includes 7 items, the most important of which are security and optimization and process automation; The knowledge content component includes 2 items, which are the most important items of obvious and hidden knowledge; The organizational infrastructure component includes 7 items, the most important of which is bandwidth appropriate to the network; The directives and directives component has 2 items, the most important of which is the issue of directives based on making the organization smarter; The component of integrated systems, which includes 3 subjects and the most important subject, the subject of scientific and educational cooperation and interaction with other intelligent organizations; The component of management processes and senior managers includes 6 items, the most important of which are the items of setting strategic priorities for knowledge management, creating a knowledge repository, and managing innovation; The component of benefits and applications of artificial intelligence includes 13 items, the most important of which are the items of facilitating the sharing and retrieval of knowledge, the ease of knowledge transfer; The image processing component includes 3 items, the most important of which is the optical character reader; The text processing component includes 15 items, the most important of which are the items for extracting keywords and grouping similar texts; The speech processing component includes 3 items and the most important item is voice translators; And finally, the component of the goals of applying artificial intelligence, which includes 13 items and the most important items are the items of transferring the skills and knowledge of elite and thoughtful employees to expert systems and improving individual abilities and capabilities and training human resources. The thinkers were identified by experts (Delphi panel members).

Conclusion: The results showed that artificial intelligence can facilitate the sharing of knowledge and its transfer, speed up the recovery process and be effective in the progress of the organization.

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