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 ...
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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.
Knowledge Extraction
Elham Samadi; Hasanali Bakhtiyar Nasrabadi; Zohreh Saadatmand
Abstract
This research aims to analyze the intellectual education of Avicenna (Ibn Sina) and discover practical knowledge. The purpose of text mining in historical records is to identify relationships within existing data and extract knowledge from them. When the existing data are structured, it is easy to use ...
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This research aims to analyze the intellectual education of Avicenna (Ibn Sina) and discover practical knowledge. The purpose of text mining in historical records is to identify relationships within existing data and extract knowledge from them. When the existing data are structured, it is easy to use data mining methods to extract knowledge from them. In relation to the research topic, the method employed in this study is text mining analysis, making this research exploratory. The TF-IDF weighting method is used in this research. Considering the high dimensionality of the data, where the number of features is much greater than the number of vulnerable samples, linear Support Vector Machine (SVM) is a more suitable choice for these tests. Various implementations of this algorithm are available. In this research, LibLinear SVM, which is one of the most suitable implementations, has been used. First, the conceptual texts of Ibn Sina's thought were analyzed by understanding the contexts of existence, knowledge, man, and values. Subsequently, a list of educational requirements was deduced using concepts and categories. Finally, models for the construction of cognitive perception and an educational model were proposed. It can be said that the ideal human being, according to the teachings of Sinai, is someone who, through their scientific perspective related to their existence, knowledge, and values, can attain proper intellectual development and happiness derived from understanding the truths of the universe. This individual can acquire intellectual knowledge, enhance their power of critical thinking and reasoning, and ultimately achieve perfection.
Knowledge Extraction
Mohammad Hossein Rahmati; Farshid Namamian; Seyed Reza Hasani; Afshin Baghfalaki
Abstract
Brand resilience knowledge helps companies maintain customer trust and strengthen relationships through proper planning and strategies. This research was conducted to model brand resilience in Iran's handwoven carpet industry using background knowledge and data mining in critical conditions. In brand ...
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Brand resilience knowledge helps companies maintain customer trust and strengthen relationships through proper planning and strategies. This research was conducted to model brand resilience in Iran's handwoven carpet industry using background knowledge and data mining in critical conditions. In brand resilience, knowledge analysis is considered highly significant for identifying key factors and effective patterns. This mixed research has been done based on qualitative data techniques in NVIVO software and quantitative data mining method in MATLAB software. 12 people were selected purposefully from carpet industry experts. Interviews were analyzed, coded, according to Strauss and Corbin method, and compared with the data mining method of the trained model and the MLP method. Based on the proposed model, 6 categories, 15 core codes, and 41 primary codes were identified. The proposed model could predict 98% brand resilience in crisis conditions. This model can help brands to maintain their business interests and implement appropriate strategies for active development, internal resistance, creative support, and production under sanctions. Furthermore, this model can help brands strengthen their capabilities and brand value, and identity in critical situations.
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 ...
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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
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 ...
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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 ...
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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.
Knowledge Extraction
Ali Zare Abarghouei; Mohammad Reza Dalvi; Zahra Dashtlaali
Abstract
The current research was conducted to apply knowledge extraction in the classification of jobs to identify the key role players using a mixed method (qualitative and sufficient data). The application of expert systems or decision support systems based on organizational data is increasing in the selection ...
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The current research was conducted to apply knowledge extraction in the classification of jobs to identify the key role players using a mixed method (qualitative and sufficient data). The application of expert systems or decision support systems based on organizational data is increasing in the selection and hiring of personnel. The data was derived from in-depth and semi-structured interviews with 17 subject experts in bank human resources, who were selected based on purposeful sampling.Data analysis was done based on the Strauss and Corbin model in the form of open, axial, and selective coding in the Atlas TI8 software. The results showed that the classification of jobs for the key role players in public and private banks includes causal conditions (requirement of talent substitution, human resource management developments, and organizational challenges), intervening conditions (organizational limitations and fear and resistance), and contextual conditions (strengthens and drivers) strategies (developmental, supportive and creating) and short-term and long-term consequences are among the components of the job classification model for the key role players in public and private banks. Next, based on the database with the CART method, the data mining of job classification was done. Regarding the performance of the model, it showed variance values of 311.92 and a risk value of 288.19. The predictions in the model explained 28.9% of the differences observed in the variable "employment status of A employees' category".
Knowledge Extraction
Omid Mehri Namakavarani; Hosein Kazemi; Farzin Rezaei; Reza Ehtesham Rasi
Abstract
The purpose of this research was to explore the future of management accounting, specifically focusing on data-based systems, using a structural analysis approach. The study aimed to provide insights into the field by projecting trends and developments up to the year 2030.This research is exploratory ...
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The purpose of this research was to explore the future of management accounting, specifically focusing on data-based systems, using a structural analysis approach. The study aimed to provide insights into the field by projecting trends and developments up to the year 2030.This research is exploratory in terms of its purpose and application. The participants were 20 experts in the accounting profession who were selected using purposive judgmental sampling. The data processing involved the use of the structural interaction analysis method and the MICMAC software. According to the findings of the structural analysis of business globalization, the key drivers include the convergence of accounting and business, the relationship between industry and university in management accounting, the increase of academic experts, and the rapid pace of technological and business intelligence changes. They have an impact on improving the quality and quantity of companies' profits in the future of the management accounting profession by 2030. The results show that these drivers play a crucial and highly effective role in enhancing the future profitability of companies in various sectors within the management accounting profession.This finding can be valuable for management accounting policymakers to anticipate future developments in this profession and avoid being caught off guard.
Knowledge Extraction
Saeed Abdolzadeh; Yadollah Abbaszadeh Sohroun; Peyman Yarmohammadzadeh
Abstract
This research aims to depict the knowledge of social capital based on pathology in the education system using a fuzzy approach. In terms of approach, it is mixed research, and in terms of method, it used theme analysis and fuzzy analysis. The study population was university professors and managers in ...
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This research aims to depict the knowledge of social capital based on pathology in the education system using a fuzzy approach. In terms of approach, it is mixed research, and in terms of method, it used theme analysis and fuzzy analysis. The study population was university professors and managers in the general education departments. Through purposeful sampling, based on criteria, the target sample was selected and sampling continued until the theoretical saturation of the data was reached. Therefore, the participants in the research included 12 professors and administrators. The data collection tool in this research is a semi-structured interview. In the fuzzy part, a researcher-made paired questionnaire was also used. In this research, the questionnaire of paired comparisons with a spectrum of 1-9 hours was used. Nvivo software was used in the thematic analysis. In fuzzy analysis, the hierarchical technique was used in MATLAB software. 70 sub-categories and 13 core categories were identified, each of which was located in different classes. Individual factors, structural factors, educational factors, managerial factors, solidarity and cohesion, social and family factors, institutional factors, collaborative factors, educational, cultural, and ideological policies, network relations, job satisfaction, and valuing social status as categories.
Knowledge Extraction
Mohammad Ali Borjikhani; Esmat Masoudi; Zahra Taleb; Nayereh Shahmohammadi
Abstract
This research aims to design a data-oriented strategic training with the future research approach in the automobile industry. The research is applied in terms of its purpose and uses a qualitative approach and thematic analysis method. The data collection tool is semi-structured interviews, and the validity ...
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This research aims to design a data-oriented strategic training with the future research approach in the automobile industry. The research is applied in terms of its purpose and uses a qualitative approach and thematic analysis method. The data collection tool is semi-structured interviews, and the validity of the questions was obtained using the opinions of experts in the field of human resources in the automotive industry. The statistical population of this research is twenty-seven specialists and experts familiar with education, human resource development, and strategic planning from Saipa Automotive Group companies, who were selected by the snowball method. Next, based on the specified codes, 4 categories were selected, and based on 8 components in the Scenario Wizard software, future research analysis was performed and 3 compatible scenarios were identified. The results of the research show the extraction of 110 primary codes and the statistics of 14 sub-categories and 5 main categories, which include: 1- The core structure category of education, which has 3 sub-categories: organizational structure, systematization, and discipline. 2- The core agility category of education which has 3 sub-categories: transactional, intelligence, creativity and innovation 3- The business-oriented category of education which has 3 sub-categories: business conditions and organizational productivity, beneficiary-oriented 4- The strategy-oriented category of education which has 2 sub-categories: strategy-oriented, foresight and result orientation 5- The central development category of education has two sub-categories: individual development and organizational development.
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.
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 ...
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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 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 ...
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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 Extraction
sahar kousari; Alireza Yari
Abstract
Innovation and economic growth is mainly formed by a unique combination of the companies that are interconnected in the field of knowledge and process. Such connections can be based on different goals among the service provider companies while two common methods for this objective include the cluster ...
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Innovation and economic growth is mainly formed by a unique combination of the companies that are interconnected in the field of knowledge and process. Such connections can be based on different goals among the service provider companies while two common methods for this objective include the cluster and ecosystem. The main objective of this article is to develop the cluster ecosystem of Iranian native search engine. In the ecosystem, relationship between the actors are formed based on the function-oriented complementary relationship of cluster of Iranian native search engine. This article aims at understanding the relating concepts of high-tech clusters and business ecosystems. Thus, while studying the existing literature, identified the different functions of native search engine clusters and different types of the actors and stakeholders of ecosystem by related experts. Then considering the role of each actor in the general functions of the native search engine, we tried to identify the relationships and interactions among those actors. Finally, the cluster ecosystem development model for the Iranian native search engine was designed based on the value network among the actors of Iranian native search engine. The findings of this research included: 1. identifying the ecosystem actors of native search engine, 2. developing the cluster of search engine functions, 3. designing the value network of the mentioned ecosystem.Originality/ value: the proposed model, makes it possible for the actors to begin the interaction and value flow based on their roles in the cluster.
Knowledge Extraction
Zahra Sadat Hadj Seyed Hossein Khani Taher Kermani; Neda Fatehi Rad; Valeh Jalali
Abstract
Research in second language learning has identified the absence of metacognition awareness among learners as one of the major problems contributing to students' inability to develop reading skills. This mixed-method study sought to investigate the impact of metacognitive awareness raising via explicit ...
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Research in second language learning has identified the absence of metacognition awareness among learners as one of the major problems contributing to students' inability to develop reading skills. This mixed-method study sought to investigate the impact of metacognitive awareness raising via explicit reading strategy instruction in a flipped instructional environment on Iranian EFL learners' reading skills. To this end, a sample of 56 EFL learners at the pre-intermediate level (28 in the treatment group and 28 in the control group) who were selected based on convenient sampling from one of the private language institutes in Kerman, Iran, participated in the study. Data werecollected using the Oxford placement test, a reading pre-test, a post-test, and a semi-structured interview. The findings revealed that EFL learners in the treatment group outperformed the control group in reading comprehension from the pre-test to the post-test. The results of the semi-structured interview confirmed the results of the t-test, and it was concluded that the learners were satisfied with the treatment due to its cooperative, fun, and informative nature. The participants, even though they mentioned some negative points such as the unavailability of the instructor and wasting time on both methods and unimportant details, reported on the effective role of both flipped context and the strategy itself. In sum, the results confirmed that integrating flipped classrooms with metacognitive development increased EFL learners' reading comprehension.
Knowledge Extraction
Ali Asghar Rajabi; Asadollah Mehrara; Mehrdad Matani
Abstract
This research aimed to provide a model for evaluating human resources management in the automotive industry. This applied research was conducted with an exploratory and mixed nature (qualitative-quantitative) using the seven-step hybrid method of Sandelowski and Barroso (2007). Furthermore, to enrich ...
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This research aimed to provide a model for evaluating human resources management in the automotive industry. This applied research was conducted with an exploratory and mixed nature (qualitative-quantitative) using the seven-step hybrid method of Sandelowski and Barroso (2007). Furthermore, to enrich the collected data, the opinions of experts in the automotive industry were used in the framework of focus groups. In the end, the importance and priority of each of the extracted dimensions, criteria, and concepts were determined using the multi-criteria decision-making approach and the hierarchical AHP method.The designed model included 3 main dimensions and 12 criteria coded as:Human resources leadership, The role of human resources manager, Strategic management of human resources and its design in the organization, Information, and knowledge system of human resources, Risk management in the field of human resources, Supply and adaptation, Development of human resources, Use of human resources, Maintenance of human resources and results, Results of human resources perception, Functional results of human resources, Organizational results are affected by the field of human resources. Furthermore, the reliability was calculated using the Kappa index. One of the advantages of this model is the emphasis on creating vertical and horizontal coordination and balance between human resources processes by examining and establishing the relationship between drivers, systems, and results simultaneously.
Knowledge Extraction
Ahmadreza Varnaseri; Maryam Nakhoda; Sareh Karimi
Abstract
Purpose: This study aims to determine the effect of query expansion on scientific texts retrieval in Persian.Method: The present study was conducted using a quasi-experimental method. The results are obtained by analyzing 40 initial and expanded queries of postgraduate students in the Faculty of Management, ...
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Purpose: This study aims to determine the effect of query expansion on scientific texts retrieval in Persian.Method: The present study was conducted using a quasi-experimental method. The results are obtained by analyzing 40 initial and expanded queries of postgraduate students in the Faculty of Management, University of Tehran. Query expansion was performed manually using primary research results.Findings: Query expansion of Persian scientific texts leads to an increase in the number of related retrieved documents, as well as the comprehensiveness and accuracy of retrieving scientific data in Elmnet search engine, which as a result, improves the overall performance of information retrieval.Results: Nowadays, automatic query expansion is on the agenda of databases. Given that Persian databases are not fully developed, and the existence of specific problems with writing in the Persian language, information literacy training and the method of defining and expressing information requirements and providing them to the information retrieval systems, can have a significant impact on postgraduate students and researchers, to retrieve the required information and save them time and money.
