Knowledge management
Mohammad Hassanzadeh; Samaneh Rahimian
Abstract
The success of organizations depends more on knowledge assets than physical assets. Knowledge management transforms the organization into a knowledge-based organization, thus institutionalizing the importance of knowledge in all the organization's processes. This research investigates the role of knowledge ...
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The success of organizations depends more on knowledge assets than physical assets. Knowledge management transforms the organization into a knowledge-based organization, thus institutionalizing the importance of knowledge in all the organization's processes. This research investigates the role of knowledge management in improving the performance of the Tehran Municipality. In this way, according to the organizational scale of Tehran municipality, which has organizational levels including line and staff (22 urban areas, affiliated organizations and companies, specialized vice-chancellors) in its strategic and functional areas. Therefore, qualitative data were collected using the available information and documents related to establishing knowledge management and descriptive strategy, Then quantitative data was collected using questionnaire tools and survey strategy. By using the method of thematic analysis, 13 upstream documents of Iran's administrative system and ten management standards and frameworks were reviewed and analyzed for the necessity of implementing knowledge management solutions therefore the infrastructures for establishing knowledge management in the Tehran municipality were identified. Based on the results, the components of upstream documents affecting the establishment of knowledge management in Tehran Municipality are communication, knowledge-based governance, technology, knowledge creation, futurology, culture, human resources, organizational processes, and knowledge processes. Also, knowledge management barriers are divided into eight sections: technological barriers, cultural barriers, management barriers, organizational/structural barriers, human barriers, content barriers, implementation barriers, and legal barriers.
Knowledge Extraction
Fatemeh Sabbaghi; Mohammad Hassanzadeh; Atefeh Sharif
Abstract
This paper aims to generate a genealogy of Digital Transformation employing visualization techniques of scientific documents which will contribute theoretically to the research field and practically to the business. To reach the genealogy, three relations including ancestors, fathers, and descendants ...
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This paper aims to generate a genealogy of Digital Transformation employing visualization techniques of scientific documents which will contribute theoretically to the research field and practically to the business. To reach the genealogy, three relations including ancestors, fathers, and descendants were defined. The ancestors and fathers were respectively determined by Reference Publication Year Spectroscopy (RPYS) and Citation analysis. Identification of the descendants was done through the bibliographic coupling of the documents published in the last two years. Visualization of the ancestors, fathers, and descendants was respectively done via fathers’ reference co-citation analysis, citation analysis on documents, and clustering of the bibliographic couplings using VosViewer. The analysis of each cluster identifies the topics of each relation of the genealogy. The analysis of the ancestors showed that the ancestors have studied theoretical foundations in digital transformation to a great extent. according to the clusters obtained for the fathers, Business models, Strategy and Innovation, Industry 4.0, and Servitization were the dominant topics of this relation. The identified topical clusters of descendants contained Digital Transformation Nature, the Influence of Digitalization on Business, Industry 4.0 and Sustainability, Digital Twins, and other Technologies in Industry 4.0, Digital Transformation, and Medicine, and Digital Transformation, Smart City, and The Effect on Financial and Economic Services showing the focus of latest research in specific technologies and innovation. The generated genealogy can be used to anticipate future trends and measures to be taken by businesses to realize digital transformation.
Mila Malekolkalami; Mohammad Hassanzadeh; Atefeh Sharif; Mansour Rezghi
Abstract
This study aims to conduct a bibliometric analysis of knowledge extraction to examine its grassroots and interdisciplinary interactions based on papers in the Scopus database between 1980 and 2022. The study uses Biblimetrix, performance analysis, and science mapping techniques using 307 articles extracted ...
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This study aims to conduct a bibliometric analysis of knowledge extraction to examine its grassroots and interdisciplinary interactions based on papers in the Scopus database between 1980 and 2022. The study uses Biblimetrix, performance analysis, and science mapping techniques using 307 articles extracted from the Scopus database. The study used Biblimetrix (R package) and VOSviewer as a tool to carry out the performance analysis and science mapping analysis. The results show that the number of publications has significantly increased in the past decade, 1.53% of authors contribute at least a single article, and 98.46% of authors published multi-authored. China, the USA, and Japan were the most prolific countries in terms of the total number of citations and foreign collaborations. Expert Systems with Applications and the Journal of Knowledge Management are the top journals for knowledge extraction; Advances in Intelligent Systems and Computing (book series), and Lecture Notes in Computer Science are the top conference proceedings series in this field. Implications of knowledge extraction as an emerging discipline have been discussed based on the evidence and trends. The bibliometrics analysis can be helpful for professionals, scholars, and academics interested in bibliometric studies. it also provides essential information for making decisions on the vitality of disciplines.
Knowledge management
Mila Malekolkalami; Mohammad Hassanzadeh
Abstract
The use of IoT in intelligent agriculture is now very common among farmers, and with the use of drones and sensors, advanced agriculture is rapidly becoming a growing global standard. The use of IoT requires infrastructure that is defined within an IoT governance framework. This paper proposes new approaches ...
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The use of IoT in intelligent agriculture is now very common among farmers, and with the use of drones and sensors, advanced agriculture is rapidly becoming a growing global standard. The use of IoT requires infrastructure that is defined within an IoT governance framework. This paper proposes new approaches to knowledge management, Artificial Intelligence, and IoT governance and their impact on productivity in the agriculture sector by hiring specialized people who are called AI-aided Agriculture Knowledge Managers.Given the importance of all three topics, knowledge management, IoT, and agriculture, we have tried to show the impact of the presence of AI-aided Agriculture Knowledge Managers and IoT in reducing water consumption as one of the most important requirements of agriculture in a simulation by Matlab Software. The data was obtained from the Eurostat database. We also provide a framework for the presence of AI-aided Agriculture Knowledge Managers in fields that are specialized in agricultural science and knowledge management. Finally, due to the importance of governance in this sector, a framework for the governance of artificial intelligence in the field of agriculture with the presence of knowledge managers has been proposed.
Knowledge management
Reza Dehkhodaei; Mohammad Hassanzadeh
Abstract
Because the learning process involves the entire life of individuals from birth to the time when the individual is conscious, and also because of the importance of knowledge and learning in today's societies, this text provides an overview of concepts related to the field of learning and related aspects. ...
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Because the learning process involves the entire life of individuals from birth to the time when the individual is conscious, and also because of the importance of knowledge and learning in today's societies, this text provides an overview of concepts related to the field of learning and related aspects. Knowledge was done to provide a basic framework in addition to further clarifying the context, in the hope that learning would move towards knowledge and be practical. Do not forget after a while. Knowledge-based learning means that the learner can first acquire sufficient knowledge of himself with the help of his educational system and teachers and then learn according to his past so that he can finally acquire new knowledge and combine this knowledge with his previous knowledge. To integrate to be institutionalized. In this case, what has been learned will never be forgotten and can be applied in similar situations.