International Journal of Knowledge Processing Studies
Volume:2 Issue: 3, Summer 2022

The purpose of this research is to identify the factors affecting the agile supply chain and value creation for the customer in the automotive industry. Therefore, using a qualitative approach and meta-combination technique, these factors have been identified. In this research, the technique is based on the model of Clarson (2006), Sampling strategy, data collection method, data analysis method, appropriateness of research design with research goal, clear expression of findings, proper justification of research result, and homogeneity between research project guiding paradigms with selected methods were the 7 steps used in selecting articles. Based on the analysis, 33 studies were reviewed and 22 codes were introduced for value creation for the customer, and 22 codes for the agile supply chain. In the supply chain stages, agility and the factors that affect it create value. Agility leads to rapid change management, in which case the organization can identify and meet the needs of customers with the necessary flexibility. The higher the agility of the supply chain, the better the factors affecting value creation for the customer. In light of the findings obtained from the study, it could be said that economics moves from the traditional to the modern knowledge, so managers must avoid looking at assets one-dimensionally and understand the importance of the role of intangible assets such as customers and the organization's internal value-added factors that contribute to the organization's survival and competitive advantage.

Focusing on knowledge sharing and knowledge application is one of the components of knowledge management, which is to reveal the hidden knowledge of individuals and transfer it for use and application to other people. Moving towards knowledge-based in today's world and achieving competitive advantage in organizations, knowledge sharing has emerged as an important category. On the other hand, the application of knowledge is considered one of the main factors of competitive advantage in various enterprises, organizations, and companies. The application of knowledge is the process of knowledge sharing in the production of goods and services and organizational actions to create value. An organization that can institutionalize knowledge in different departments and among its employees and uses the knowledge created and the experiences of its employees properly will be able to maintain or ascend its position in today's developing world.The present study examines the concepts of knowledge, knowledge sharing, factors affecting sharing, knowledge application, and the relationship between knowledge sharing and application. This article is a library Research Method and descriptive.

This study aims to investigate the scientific production of artificial intelligence in the management and crisis of Covid 19. It is of the scientometric type which has been done by co-occurrence analysis of words. The research population consists of 2,816 documents in the field of "artificial intelligence during the Covid-19 pandemic" indexed in the Scopus database. VOSviewer software has been used to draw scientific maps. A total of 2816 documents in the field of artificial intelligence and corona pandemic have been indexed by researchers all over the world in the Scopus database, of which 64.5% were in the form of scientific research articles. 18% of scientific products are related to medicine and 16.9% are related to computer science. The United States, China, and India are ranked first to third respectively. Iran is also ranked 17th out of 20 countries active in the field of artificial intelligence and Covid-19 such as Taiwan, Malaysia, South Korea, and Macau. Active authors in this field are Chou k.c, Hassanien A.E, and Ivano. D. The highest production in this field belongs to the United States, China, and India, respectively.  The United States and China, as prominent and successful examples of the use of artificial intelligence in the management of Covid-19 disease, can be a model for other countries in overcoming this crisis.

This study aims to create an integrated metadata system to organize information and content knowledge of Iranian websites to protect, represent, access, retrieve and provide a suitable metadata model for archiving such resources in the country. This applied research was done by a documentary (library) and a survey method. In the initial study, the world's leading patterns in web archiving were selected, then metadata elements were extracted from the official site of each template and refined and homogenized in the comparative table. The research tool, a questionnaire including the description of each metadata element and the importance of its existence in describing web content was provided to information science experts. Due to the indigenous needs, open tables were allocated to record them. To organize the content knowledge of Iranian websites, thirty-eight metadata elements were prioritized and evaluated by information science experts. knowledge organization of web content will strengthen the representation, facilitate retrieval and prevent content loss when it is based on the standard and integrated metadata templates while increasing user satisfaction. In this research, information science experts have recognized that the metadata elements of Title, Subject, Creator, and Format are more important.

The behavioral decision-making process of individuals highlights the importance of investors' feelings and their correlation with the real economy. The purpose of this study was to model investment satisfaction based on financial knowledge. Qualitative and quantitative methodology has been used. In terms of research philosophy, it is of applied positivist paradigm, and in terms of qualitative and quantitative research, it has an inductive and deductive approach and survey strategy. This research is exploratory in terms of purpose and explores variables and their causal relationship. The data was collected through interviews with experts and the Atlasti software was used qualitatively. The research population of the present study included experts and financial experts and management of companies listed on the Tehran Stock Exchange. In a small part, Delphi techniques and structural equations have been used. By analyzing the data, a total of 23 categories and 252 and finally 127 concepts were identified and extracted. Selective coding and axial coding were also performed. Among the identified factors, the axial coding paradigm was performed and based on that, the linear relationship between research categories including causal conditions, axial categories, contextual conditions, intervening conditions, strategies, and consequences were determined. Managers must always identify the risks that threaten the company. Investors can benefit greatly from the application of financial knowledge in their specific situations. When behavioral finance develops among market participants, investors will see its benefits.

The purpose of this paper is to study the existing wikis and the experiences of implementing wikis at the national and international levels. The result will be designing a specialized wiki in the field of knowledge management by describing the specialized terms of knowledge. The present study method is applied in terms of purpose, which was done by the documentary method. It should be noted that the Delphi method is used to document the framework. The findings described eleven cases of research related to the implementation of the wiki and its format, which was taxonomic. To provide a wiki framework, a review of previous sources and research related to the field of wiki building was done, and then the template was presented by studying the existing cases. Finally, a framework for creating the taxonomy of knowledge management in the form of a wiki is provided. Also, this research has two appendices: The first appendix provides the basic terms to be included in the taxonomic structure and be completed by users and professionals over time. The second appendix contains some examples of different wiki pages for patterning.