Knowledge Extraction
Zahra Sadafi Tehrani; Masoumeh Al-Sadat Abtahi; Ezatollah Naderi; Maryam Saif Naraghi Saif Naraghi
Abstract
The purpose of the study is to analyze the sixth grade textbooks for the application of financial knowledge from the point of view of the professors of the financial management department of public and private universities. The research method is descriptive-analytical. The statistical population of ...
Read More
The purpose of the study is to analyze the sixth grade textbooks for the application of financial knowledge from the point of view of the professors of the financial management department of public and private universities. The research method is descriptive-analytical. The statistical population of all professors of the financial management department of public and private universities with more than 10 years of experience in Tehran province is determined to be around 322 people. A researcher-made questionnaire was used to collect data. This tool is a combination of the financial knowledge tests of the National Council of Economic Education of America and the national standards for personal finance of the Jumpstart model and adapted to the conditions of Iranian students. Professors, experts of the Department of Economics of Islamic Azad University in Tehran and experts of the Education Organization have confirmed the validity of the questionnaire and its reliability has been confirmed by calculating Cronbach's alpha of 0.894. Text mining methods (mean, percentage and frequency) and inferential statistics have been used to review and analyze the data. The results of the research show that the educational goals of the framework of the personal finance book, the framework of content and learning experiences, the framework of organizing teaching-learning experiences and the design of the evaluation framework of learning experiences in the application of financial knowledge in sixth grade textbooks are effective from the point of view of financial experts and experts.
Knowledge Extraction
Khalil Shams; Karamollah Karamollah danesh fard; Abdul Khalegh Abdul Khalegh Gholami; Ali Ali pirzad
Abstract
This research is done in a mixed way (thematic analysis and data mining). In the first step, based on the qualitative method of thematic analysis, the effective factors of knowledge-based career path planning with a high-performance approach and data processing approach are identified. The investigated ...
Read More
This research is done in a mixed way (thematic analysis and data mining). In the first step, based on the qualitative method of thematic analysis, the effective factors of knowledge-based career path planning with a high-performance approach and data processing approach are identified. The investigated population is the managers and decision-makers of Zone Ten of Iran's gas transmission operations. 10 people were purposefully selected and interviewed. These people had more than 10 years of work experience in this organization. Using the six-step coding method, the interviews were entered into the MAXQDA software, and the effective factors on career path planning with a high-performance approach based on organizational knowledge were identified. Data was collected in SPSS format and used as input in WEKA software. The path of career development in this research was determined based on the dimensions of individual factors, organizational factors, empowerment strategies, management strategy, culture-building strategies, process development, and management processes. The operationalization of these factors in data mining showed that the situation of the predicted career path has significant differences from the reality of the organization. This procedure can be improved by periodic knowledge extraction and long-term performance evaluation. The obtained results showed that the knowledge-oriented career path emphasizes the empowerment of employees in a specialty. The level of knowledge participation of employees does not only mean that the employee shows useful behaviors for the organization within the organization, but also includes the attitude of people towards the company and recognizing their existential value in the company.
Knowledge management
Shahram Bakhshi hajikhajeloo; Yousef Namvar; Nasibeh Pourasghar
Abstract
The current research was conducted to design a model to identify the effective organizational factors for tacit knowledge management in Iran's Social Security Organization. The method and tools of data collection were obtained through field methods such as interviews and questionnaires. The statistical ...
Read More
The current research was conducted to design a model to identify the effective organizational factors for tacit knowledge management in Iran's Social Security Organization. The method and tools of data collection were obtained through field methods such as interviews and questionnaires. The statistical population in the qualitative phase included managers and experts from the general departments of the Deputy of Management Development and Human Resources of the Social Security Organization. The sampling method in the qualitative phase was purposive and snowball. Based on the principle of theoretical saturation, a sample size of 15 interviews was chosen for the semi-structured interviews. To validate qualitative findings, four criteria of validity, generalizability, reliability, and verifiability were used. To assess the validity of the findings, content validity was employed. The process of data analysis was conducted using the open, axial, and selective coding methods in the MAXQDA. The statistical population in the quantitative part of the research was 360 managers and expert experts in 7 specialized vice offices of the organization's headquarters, and according to the table of Karjesi and Morgan (1970), the number of quantitative study samples was 186 people selected by simple random method. In the inferential statistics section, quantitative content analysis of the structural equation modeling method was used. Finally, the model of effective organizational factors on tacit knowledge management in the social security organization was confirmed. It is necessary to pay attention to the institutionalization of effective factors in tacit knowledge management by considering the designed model.
Knowledge management
Akbar Tahmasebi; Ismail Jahanbakhsh; Mansour Haghighatian
Abstract
The availability of social capital is a valuable resource that supports employees in performing activities in organizations. Social capital has a close interaction with knowledge. The current research aimed at investigating the dynamics of the social capital database to gain economic, social, cultural, ...
Read More
The availability of social capital is a valuable resource that supports employees in performing activities in organizations. Social capital has a close interaction with knowledge. The current research aimed at investigating the dynamics of the social capital database to gain economic, social, cultural, and environmental knowledge of the industrial development of Kangan City using a quantitative approach and a survey method. The data collection tool was a questionnaire. The statistical population was all the citizens of Kangan City over 25, 400 were selected as a sample and studied using the multi-stage cluster sampling method. The data were analyzed on two descriptive and inferential levels in SPSS software. The results show that the average of the social-environmental behavior variable is higher than the average and the average of the change in the consumption of cultural goods is lower than the average. Based on this, it can be said that the impact of industrial development on social-environmental behaviors and social capital (including the dimension of social trust) has been positive and the consumption of cultural goods has had no effect, or to be more precise, it has had a negative effect. Holding scientific meetings in order to increase social trust in the industrial area is one of the practical suggestions of this research, also culturalization of knowledge sharing and use of existing databases will strengthen social capital and create a competitive advantage of knowledge creation in the long term.
Knowledge Extraction
Mandana Faraji; Mehdi Davaee; Mahshid Izadi
Abstract
Numerous studies have shown that the quality of teacher's performance is a very important factor in determining the learning outcomes and achievements of the educational system. This research was conducted through qualitative text analysis using the pertinent research projects, scientific documents and ...
Read More
Numerous studies have shown that the quality of teacher's performance is a very important factor in determining the learning outcomes and achievements of the educational system. This research was conducted through qualitative text analysis using the pertinent research projects, scientific documents and formal educational, documents at national and international levels, as well as the related literature with the aim of identifying and explaining the role of professional competencies of special education teachers and trainers with a focus on students with intellectual disabilities. The results of the analysis have been presented in the form of a set of competencies required by teachers and trainers of intellectually disabled students, which include components such as positive and supportive interaction and creating hope in children, control of emotions and stress, attitude and skills for facilitation of affairs, ability in cultivating creativity, intelligent behavior with scientific vision and cultural awareness, designing empowerment activities and timely intervention programs, enriching, adapting and strengthening content and learning environment, as well as teaching skills needed for effective communication, problem-solving, safety, and health, and defending their individual and social rights. The presented arguments can be used in the field of educational policy-making, evaluation of professional competence, and empowerment of teachers and trainers in general and special education, as well as in the design and development of curricula for students with intellectual disabilities.
Knowledge management
Yalda Saremi; Mohammad Aghaei; Mohammad Rahim Esfid; Tahmoures Hasangholipour; Manouchehr Ansari
Abstract
Due to the spread of activities in the virtual world and on the Internet, the marketing and advertising method has completely changed and is moving from traditional marketing to digital marketing. In this regard, one of the most important benefits that businesses can create in the digital space is to ...
Read More
Due to the spread of activities in the virtual world and on the Internet, the marketing and advertising method has completely changed and is moving from traditional marketing to digital marketing. In this regard, one of the most important benefits that businesses can create in the digital space is to increase engagement with customers. This research was conducted with the aim of presenting a digital marketing model with a customer participation approach with intervening role of knowledge management. This research is of mixed type (qualitative-quantitative) and in terms of fundamental-applied purpose, and in terms of the nature and form of implementation, it was done in an exploratory-descriptive manner. In the qualitative part, the statistical population includes all CEOs as well as managers of related units (marketing, research and development, business development) who are active in different industries, and sampling was done using the snowball method, and finally with 16 saturated interviews. There was a comment. The data collection tool included a semi-structured interview, and the Foundation's data theory method and MAXQDA software was used to analyze the specialized interviews. In a small part, they form also, for the survey in the quantitative part, experts, employees and customers are also included in the statistical population, and sampling was done using the accessible and random method, and 384 people were selected using the Cochran formula.
Big data
Mohammad Ali Ghazi Kelahroodi; Farshad Faezy Razi; Younos Vakil Alroaia
Abstract
This research provides a data-driven model of electronic banking customer experience using digital marketing knowledge. The study is applied-developmental research, and it is a cross-sectional survey research. A semi-structured interview and a Likert scale questionnaire were used to collect data. The ...
Read More
This research provides a data-driven model of electronic banking customer experience using digital marketing knowledge. The study is applied-developmental research, and it is a cross-sectional survey research. A semi-structured interview and a Likert scale questionnaire were used to collect data. The statistical population in the qualitative section includes banking industry experts. Using targeted method, 15 experts participated in this section. The statistical population is one million people (active customers of electronic banking) and the sample was calculated based on the Cochran table of 384 people. To analyze the data in the qualitative part, the foundation data analysis method was used in MAXQDA, and for the validation and presentation of the final model, the structural equation modeling method and SMARTPLS software were used. Based on the designed model, 6 categories for causal factors (proper decision-making, time management, digitalization effects, cost management, business trends, and relationship management), 2 categories for background conditions (banking industry and digital economy), 2 categories for intervening conditions (individual factors and environmental factors), 4 categories for strategy (digital tools, trust building and training, digital differentiation and digital platform), 3 categories for outcomes (prosperity of the banking industry, customer satisfaction, and economic productivity) became. Banks are an important pillar of the economy and the strategies they adopt will affect the recovery of the economy after the pandemic. Digitization is one of the important options for banks in order to provide the best and most reliable solutions to customers in their current business with the bank.
Knowledge management
Mohammadreaza Gharayi Ashtiyani; Naser Porsadegh; seyed Javad Rezaei
Abstract
In the country's policy-making and decision-making arena, many new and dynamic issues are faced by the country's research agents. To solved these problems, must be prepared a cycle between the most theoretical layers and the most operational layers. By designing and formulating the wisdom ecosystem model ...
Read More
In the country's policy-making and decision-making arena, many new and dynamic issues are faced by the country's research agents. To solved these problems, must be prepared a cycle between the most theoretical layers and the most operational layers. By designing and formulating the wisdom ecosystem model in the field of decision-making, it is possible to create this operational cycle that prepares the back and forth between these levels. This research was carried out with the objectives of "compilation of the ecological model of wisdom in the field of decision-making of research organizations" with a mixed approach and with an exploratory and contextual method. The two statistical populations of this research are: a) the general research community; 25 people with special characteristics, and b) expert society; There were 15 experts who formed the panel group and tried to produce literature by holding brainstorming sessions and summarizing the mentioned cases, they completed the conceptual model of the research. Based on this research, the dimensions and components of wisdom ecosystem in the field of decision-making of Iranian research organizations are: Senior managers (wise judgment, foresight and insight, rationality, applying experiences, understanding the correlation of affairs, understanding issues), Environment (communication channels, dynamics, external knowledge), Knowledge centers (human resource management, human resources, organizational culture, knowledge management, strategy and leadership, decision-making and policy-making), Actors (universities and research centers of the country, government, industry, Supreme National Security Council, Islamic Council and foreign actors), and upstream documents (laws and regulations, modern Islamic civilization, S&T document and ...).
Knowledge Extraction
Manya Sadat Hashemian; Javad Rezaian; Amir Gholam Abri
Abstract
The aim of the current research was to provide an intelligent model of the green supply chain of pharmaceutical products with the overlap of common customers. This research applies simulation to the proposed model of a pharmaceutical supply chain with smart and green conditions. The society under investigation ...
Read More
The aim of the current research was to provide an intelligent model of the green supply chain of pharmaceutical products with the overlap of common customers. This research applies simulation to the proposed model of a pharmaceutical supply chain with smart and green conditions. The society under investigation is the environment of pharmaceutical companies, with its specific assumptions and goals. This model is simulated in the GMAS software environment. The problem was examined from two perspectives: simultaneous production (coordination of drugs) and cooperative planning (coordination of suppliers). Additionally, in order to address the issue of vehicle routing under real conditions of limited capacity for delivery vehicles, the expiration date of the drug and time windows in orders were taken into consideration. The objective was to allocate orders to vehicles in a way that minimizes the total delivery time and reduces the amount of carbon dioxide produced. Based on the obtained results, this multi-objective model aims to improve the performance of the pharmaceutical distribution network by addressing three main complexities: economic, environmental, and social. This approach provides a comprehensive and balanced solution for designing the drug distribution network. Its goal is to preserve the environment, improve social conditions, and maximize economic profit.
Knowledge Extraction
Fatemeh Baratloo
Abstract
The purpose of this study is to identify the thematic trends of scientific publications in the fields of humanities and social sciences, considering the impact of Covid-19. The study utilizes a descriptive approach with a scientometric and content analysis method, incorporating co-word analysis and social ...
Read More
The purpose of this study is to identify the thematic trends of scientific publications in the fields of humanities and social sciences, considering the impact of Covid-19. The study utilizes a descriptive approach with a scientometric and content analysis method, incorporating co-word analysis and social network analysis techniques. The research population comprises Covid-19 studies in the fields of humanities and social sciences in the Web of Science, conducted between 2019 and 2021, involving the top countries in three prominent continents. CiteSpace, Bibexcel, and Gephi software were used to analyze the data, while VOSviewer software was utilized to visualize the intellectual structure. The analysis reveals that religion, spirituality, public health, religiosity, mental health, epidemics, depression, crisis, social media, anxiety, and ethics are significant keywords in research within the humanities and social sciences. Additionally, thematic overlap is observed in the clusters of "China and Spain" and "India, Turkey, Britain, Italy, United States, Canada, and Brazil," with a greater accumulation of clusters in the studies of Turkey, Canada, and Brazil. In addition, it can be said that the focus of studies in the Americas is more on social sciences than on studies in the other two continents.
Mohammadreza Ebrahimzadeh; Behrouz Larisemnani; Seyedeh Masoumeh Ghamkhari; Ehsan Ahadmotlaghi
Abstract
The purpose of the current research was to process and create knowledge in the coordination of the digital banking ecosystem. Considering the need for deeper application of the theoretical contextualization dimension (compared to the experimental contextualization dimension) in the crystallization of ...
Read More
The purpose of the current research was to process and create knowledge in the coordination of the digital banking ecosystem. Considering the need for deeper application of the theoretical contextualization dimension (compared to the experimental contextualization dimension) in the crystallization of coordination strategies and approaches from the reduced qualitative research method to enrich the identified categories and frame the results of the context Theoretical analysis was used. The thematic research method of Brown and Clark (2006) was chosen as the main and central method to answer the final research question. The statistical population of the research includes experts in the banking industry, especially digital banking and digital financial services, who were selected by the snowball sampling method. After going through 12 interviews, the data was saturated. In evaluating the content validity of the interview questions, the content validity ratio and the content validity index were used. Three strategies of focusing on co-evolution, focusing on enrichment and focusing on novelty were identified as the best knowledge-based strategies. Focusing on co-evolution, value enrichment and up-to-dateness of digital banking ecosystem components as three basic strategies can lead to more performance, increase value for customers, attract new customers and promote the improvement of digital banking system. These strategies are the most essential factors of success and progress in the digital banking ecosystem.
Knowledge management
Azam Mirzamani; Arash Mehrzadian; Mohammad Ghaffari
Abstract
The aim of the current research is to compile the knowledge framework of tax whistleblowing disclosure by analyzing the role of the organization's structure and culture. In the current complex and global economic era, concepts such as financial transparency and disclosure knowledge in the field of taxation ...
Read More
The aim of the current research is to compile the knowledge framework of tax whistleblowing disclosure by analyzing the role of the organization's structure and culture. In the current complex and global economic era, concepts such as financial transparency and disclosure knowledge in the field of taxation have become one of the vital axes for sustainable development and creating economic justice. The present research tried to answer the question of how structural and cultural factors play a role in tax whistle-blowing by using the method of qualitative content analysis and triangulation of data collection. The research community of the tax organization was from 2014 to 2023 and 6 people were selected as interviewees with the purposeful sampling technique. The findings of the research showed that in the studied tax organization, despite the existence of structures to facilitate whistleblowing, the culture of not whistleblowing prevailed over whistleblowing. In more precise words, structural factors were completely overshadowed by cultural factors and even in many cases they became ineffective under the influence of cultural factors. The practical knowledge of this research for policy makers, managers and other administrative health enthusiasts is to pay more attention to the role of organizational culture and prioritize it over other factors affecting tax disclosure knowledge in the direction of organizational information transparency. Any success in the development of tax whistle-blowing disclosure knowledge depends on paying attention to the culture and cultural beliefs about whistle-blowing, and only structural arrangements cannot cause organizational whistle-blowing.
Knowledge Extraction
Elham Samadi; Hasanali Bakhtiyar Nasrabadi; Zohreh Saadatmand
Abstract
The aim of this research is to employ neural networks in discovering functional knowledge based on the rational training of Avicenna and Kant. The methodology of this study is based on deep learning neural networks, making it an exploratory research. Given the practicality of functional knowledge, this ...
Read More
The aim of this research is to employ neural networks in discovering functional knowledge based on the rational training of Avicenna and Kant. The methodology of this study is based on deep learning neural networks, making it an exploratory research. Given the practicality of functional knowledge, this research is applied in nature. To assess the significance of components and evaluation indicators of functional knowledge, text mining and the frequency of related symbols have been used. In order to utilize data mining techniques in this research, the WEKA software has been employed. The algorithms considered for implementation in this study are MLP, SVR, AdaBoost.R, Bagged Trees (BAGTREE), Linear Regression (LR), and Least Squares Support Vector Regression (LSSVR). According to the results obtained for functional knowledge, the LSSVR and SVR methods outperform the others, indicating their superiority. As the charts illustrate, there is significant volatility in this dataset, making prediction challenging. Furthermore, the R2 value is very close to one, indicating relatively accurate predictions by the methods. Neural networks can serve as powerful tools to aid in rational thinking, logical decision-making, and better understanding of the surrounding world, in line with the perspectives of Avicenna and Kant. These tools can assist in analyzing and interpreting complex data in these fields and strive for rationality and human excellence.
