Knowledge Extraction
Mohammad Ali Borjikhani; Esmat Masoudi; Zahra Taleb; Nayereh Shah Mohammadi
Abstract
This research aims to design a data-oriented strategic training with the future research approach in the automobile industry. With a qualitative approach and thematic analysis method, the research is practical in terms of its purpose. 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. With a qualitative approach and thematic analysis method, the research is practical in terms of its purpose. 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 concepts and 5 main categories, which include: 1- The core structure category of education, which has 3 concepts: organizational structure, systematization, and discipline. 2- The core agility category of education which has 3 concepts: transactional, intelligence, creativity and innovation 3- The business-oriented category of education which has 3 concepts: business conditions and organizational productivity, beneficiary-oriented 4- The strategy-oriented category of education which has 2 concepts: strategy-oriented, foresight and result orientation 5- The central development category of education has two concepts: individual development and organizational development.
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 with 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 with 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 is used in the theme analysis method. In fuzzy analysis, the hierarchical technique is used in MATLAB software. 70 categories were identified 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. The main or central ones were revealed. Therefore, different injuries affect the education system from different aspects.
Knowledge Extraction
Fatemeh Sabbaghi; Mohammad Hassanzadeh; Atefeh Sharif
Abstract
Objectives: This paper tries 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.Methods: To reach the genealogy, three relations including ancestors, fathers, ...
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Objectives: This paper tries 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.Methods: 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 the bibliographic couplings using VosViewer. Results: 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.
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.
