جستجوی مقالات مرتبط با کلیدواژه "fourth industrial revolution" در نشریات گروه "علوم انسانی"

The main goal of this research is to assess the readiness of countries for the Fourth Industrial Revolution. The study aims to provide a model using artificial intelligence algorithms, such as clustering and classification, to predict the movement of countries towards Industry 4.0.

The research utilizes fast-density clustering (FDC) to categorize countries into distinct clusters. Subsequently, the kNN and SVM algorithms are employed for modeling and predicting countries' movements. Additionally, swarm intelligence algorithms are used to optimize the performance of the algorithms.

One of the achievements of this research is the development of a composite index for the classification of countries and predicting their movement toward Industry 4.0. The countries are categorized into three clusters based on their readiness for the Fourth Industrial Revolution, and the characteristics and trends of each cluster are elucidated. Another finding is the optimization of the kNN and SVM algorithms, demonstrating their superior performance compared to other algorithms.

Originality: 

The proposed composite index outperforms similar algorithms, indicating the effectiveness of the proposed method in predicting countries' movement toward Industry 4.0. The study presented a comprehensive analysis of the Iran cluster, including its overall ranking and rankings within specific sub-indices. The findings offer insights into the strategic movement patterns of Iran and provide recommendations for advancing its technological capabilities. This research not only contributes to enhancing the country's readiness in technology but also aims to elevate the power and standing of the Islamic Republic of Iran, particularly in critical sectors such as national defense and security.

The present research was conducted in order to develop scenarios for the future structure of academic disciplines and educational groups in Iran in the atmosphere of the fourth industrial revolution. The approach of the current research is mixed, in terms of practical-developmental purpose and in terms of data collection method, it is descriptive-analytical and using the scenario writing method. The statistical population includes two spectrums; Scientific documents and experts were from public institutions and universities in Tehran. The sampling method was used in the qualitative part of non-probability criterion-based targeted sampling and in the quantitative part of the available type. The sampling method was used in the qualitative part of non-probability criterion-based targeted sampling and in the quantitative part of the available type. The findings showed 16 factors that after the structural analysis of the factors and the weighting of the uncertainties with the method of importance and consensus, the duals of "individual and network knowledge production" and "worn and technological work and employment system" got the highest score. From the interaction of these two uncertainties, 4 scenarios: competent oriented network structure with hashtag symbol; Responsive business-oriented structure with Tradesman symbol; Knowledge oriented task structure with collage symbol; And the educational island structure was achieved with the symbol of the school. In this way, the current situation of the structure of university courses and educational groups in Iran is against the developments of the fourth industrial revolution in a spectrum from transformation (hashtag scenario) to collapse (school scenario). In the near future, universities are witnessing a crisis in the production of knowledge and skills, competence and orbital competence for university graduates and preparing them to enter new markets. So; It is recommended and suggested to transition from the education-oriented island structure to the competent oriented network structure.

Background & the efficient supply chain is one of the important factors in increasing the combat power of defense organizations. Then, in the present research, the design of the smart  Warehouse Managment System of defense organizations is discussed with regard to the fourth industrial revolution.
In terms of its purpose, this research is an applied research and was done qualitatively with the aim of designing smart warehouses. The participants of this stage included selected experts with whom semi-structured interviews were conducted. Thematic analysis method was used to analyze the interview data.
The warehouse design was identified in three main categories; criteria (reliability, cost, productivity and security), requirements (the state of competent human resources, the necessary technical ability to use and implement artificial intelligence, securing warehouses and the state of a suitable mechanized system) and identifying activities (availability of information, stakeholders and decisions key process, task assignment, input process, inventory management, order fulfillment, location management, output process, problem management and financial collection).
Paying attention to the intelligent warehousing management system in defense organizations will improve the supply chain, increase efficiency and reduce costs, and will improve the defense capability.

The current research was conducted to design and model digital transformation based on the fourth-generation industrial revolution in Iran Khodro Company. In this regard, the main question focuses on identifying the factors that impact the design and modeling of digital transformation, rooted in the fourth-generation industrial revolution, and exploring the pattern of causal relationships among these factors in Iran Khodro. 

This study adopts an applied-developmental approach in terms of its purpose, utilizes a descriptive survey method for data collection, and employs a mixed data analysis method. The community of participants in the qualitative section comprised of experts, policymakers, academics, managers of knowledge-based companies, and senior managers of Iran Khodro Company. Sampling was done in a targeted way and theoretical saturation was achieved with 15 people. The statistical population for the quantitative part comprised experts from Iran Khodro Company, estimated to be 172 individuals using Cochran's formula. The required sample volume was provided by a simple random sampling method. A semi-structured interview and a researcher-made questionnaire were used to collect data. The underlying categories of digital transformation in Iran Khodro Company were identified by the grounded theory method and the final model was validated by the partial least squares method. Qualitative data analysis was conducted using Maxqda software, while the quantitative analysis was performed using Smart PLS.

To explain the digital transformation model based on the fourth-generation industrial revolution in Iran Khodro company, semi-structured expert interviews were conducted with marketing professors and managers of Iran Khodro company. At this stage, before the start of the interview, six open questions were considered and during the interview process, new questions were also raised as expected. To get familiar with the depth and scope of the content of the data, repeated and active reading of the data (searching for meanings and patterns) were done. The results of the interviews were extracted using the grounded theory method based on the theory of Strauss and Corbin and by open, central, and selective coding. In the open coding stage, 256 codes were first identified, duplicate codes were removed and synonyms were combined, and finally 58 open codes were identified. During the central coding stage, the initial 58 codes were categorized into 10 classes, and in the selective coding stage, these 10 classes were further condensed into six main classes. In the process of theorizing the database, after collecting, analyzing, and interpreting the data, the next step is to present the model, draw conclusions, and summarize the research. By examining the current situation, the obtained data were classified into six main categories. Professors and experts contributed their perspectives, leading to the utilization of 58 indicators to elucidate the digital transformation model rooted in the fourth-generation industrial revolution at Iran Khodro Company, drawn from all indicators derived through qualitative analysis of interview content.

Based on the research paradigm model, it was determined that digital infrastructure, digital leadership, digital human resources, and digital marketing affect digital transformation in Iran Khodro Company. The fourth industrial revolution provides the necessary platform and the competitiveness of Iran Khodro plays an intervening role. Finally, the digital strategy of Iran Khodro Company leads to the financial and non-financial performance of the company.

The present study was carried out with the aim of exploring and evaluating the question that how can the advantages of the fourth industrial revolution be exploited for the formulation and development of educational standards of the industry sector of the Technical and Vocational Education Organization? Exploratory research method has been used to investigate the objectives of this research. In order to carry out this method, the meta-eval;uation method in the qualitative part and the quantitative descriptive method required information from documents, reports and printed scientific articles related to the 4IR, skills and technical education standards and It was collected in prestigious English and Persian magazines and technical and vocational education organization and Khuzestan Industrial Towns Company. The results of the research showed: First: digital skills, data analysis, cyber security, problem solving, creativity, communication, energy cooperation and renewable energy technology are the priority of education and learning in 4IR. Second, the companies based in Ahvaz Industrial Towns are at the beginner level of this revolution, and a few training courses have been designed and implemented in this field. Third, the educational standards of the Technical and Vocational Education Organization of the country and Khuzestan,It has not been regulated in this regard. As a result, the necessity of re-engineering these standards is felt in the light of the developments of the industrial revolution in technical and vocational education and the educational needs of industrial companies, and not paying attention to it can threaten the competitiveness, efficiency and effectiveness of industries.

Today, with the arrival of new technologies brought by the fourth industrial revolution, organizations can improve their productivity. And considering the many challenges that exist in the country's motorcycle industry; Including sanctions, and various environmental requirements and pressures, motorcycle after-sales service companies are forced to establish a comprehensive software management system. Also, with the advancement of technology and the introduction of new technologies such as the Internet of Things, services are provided for organizations that can help them have a more efficient organizational architecture than before. The result of this research is the design of an organizational architecture based on the Internet of Things for after-sales service companies in the motorcycle industry. To achieve this goal, the inspection unit of one of the branches of Kavir Motor Company was selected as a case study and its processes were rewritten using a piece of hardware based on the Internet of Things; Then, by choosing the famous Zackman framework as the organizational architecture, the first two lines of this framework were rewritten with the Internet of Things and a new organizational architecture based on the Internet of Things was created. In this research, the Internet of Things is the independent variable and the pillars of Zackman's framework (data, function, network, people, time, motivation) are the dependent variables. Based on this, six hypotheses were considered for the research and according to the research questions and hypotheses, a questionnaire was designed for scientific experts in the field of organizational architecture and Internet of Things, and after gathering the opinions of experts and analyzing the questionnaire with chi square test, a questionnaire was also designed for Transportation industry experts (managers and experts in the field of information technology of after-sales service companies) designed and after completion by them and analysis with the third order Wilcoxon test, conclusions were drawn regarding the research hypotheses, which finally out of the six research hypotheses, The fourth hypothesis of the research was rejected, and the first, second, third, fifth and sixth hypotheses were confirmed.

This study examines the factors affecting the model that is presented for the competitiveness of selected knowledge-based companies in the fourth industrial revolution. 23 components were identified and categorized into six factors: causal, contextual, intervening, central phenomenon, strategies and measures, and consequences. Using these components, a questionnaire was designed to determine the current status of selected knowledge-based companies in Iran, and a total of 127 completed questionnaires were collected from 197 knowledge-based manufacturing companies of the first type in the field of electricity and electronics, laser and photonics in the country. was done to examine the current state of the model components. The data was analyzed with SPSS and PLS software. In the analysis carried out, the coefficients of factor loadings of the components are more than 0.4, which shows the appropriateness of this model. Cronbach's alpha and composite reliability is more than 0.7, which indicates the appropriate reliability of the model. Construct validity, convergent validity and divergent validity also had favorable results. The results showed that all the components in the presented model for the competitiveness of selected knowledge-based companies in the fourth industrial revolution played a role, and the current state of all factors except the causal factor, which is in an average state, are in a favorable state.

Due to the increase in competitive pressure and the development and advancement of technology, manufacturing companies today consider Industry 4.0 a fundamental and crucial issue for enhancing performance, as well as for maintaining and improving their competitive position. The purpose of this research is to investigate how knowledge management and its influencing factors affect the implementation of Industry 4.0 in the home appliance industry.
This research is applied in terms of purpose and utilizes a survey for data collection. In order to conduct the current research, 13 factors were initially identified by reviewing the research background. Using the interpretative structural modeling technique, the relationship between the identified factors was determined. Based on this analysis, the conceptual model of this research was presented. In the following study, the fit of the conceptual model was measured and investigated using the structural equation modeling approach and Smart PLS software. In this research, a questionnaire was used to collect data. In order to align with the developed conceptual model, a questionnaire comprising 42 questions was designed based on the research background. It was then distributed to experts, managers, and employees in the household appliances industry using a sampling method. According to the structural equation modeling approach, the required sample size in this research is determined by the relationship 5q<n<15q. In this formula, q represents the number of questionnaire questions, and n represents the sample size. According to the 42 designed questions, 250 questionnaires were distributed, out of which 217 were returned.
The results of this research showed that organizational culture, leadership, organizational innovation, organizational structure, absorption capacity, teamwork, financial resources, compatibility of information systems, flexibility of employees, vision and strategy, performance evaluation, and providing feedback. Education and Industry 4.0 technologies have been identified as effective factors in knowledge management for the implementation of Industry 4.0 in the home appliance industry of the country. The results of this research indicate that the factors influencing knowledge management in the implementation of Industry 4.0 are categorized into eight levels. Organizational culture and leadership are identified as crucial variables and form the basis of the conceptual model essential for establishing Industry 4.0 in the home appliance industry. The results of this research revealed that the variables of financial resources are at the seventh level, teamwork, organizational structure, and training at the sixth level, absorption capacity and vision and strategy at the fifth level, Industry 4.0 technologies at the fourth level, performance evaluation and providing feedback at the third level, flexibility of employees at the second level, and innovation and adaptability of information systems are placed at the first level.
The results of this study can facilitate the implementation of Industry 4.0 in the home appliance industries of the country and encourage home appliance industry managers to utilize knowledge management in Industry 4.0 more effectively.

Higher Education, Education 04,

In the atmosphere of the fourth industrial revolution The fourth industrial revolution has faced fundamental changes in the conditions of societies, organizations and institutions such as universities, and universities need to examine the theoretical foundations in the future. Based on this, the purpose of this research is to identify and structurally analyze the drivers affecting the future of Iran's university education system in the environment of the fourth industrial revolution. The research is developmental-applicative in terms of its purpose and descriptive-exploratory in terms of its nature, and a mixed model (qualitative-quantitative) was used to collect data. After selecting the population and statistical sample, 59 scientific documents and 8 experts were selected as the research sample. In data analysis, data mining tools were used to identify drivers and Delphi technique and Micmac software were used for structural analysis of identified drivers. In the first stage of the findings, 9 drivers were identified, and in the second stage, the structural analysis results showed 2 influential drivers, 3 two-way drivers, 3 dependent drivers and 1 removable driver. The results of the research showed that The variables of "personalized teaching and learning", "big data", "Educational approach of MOOC" and "integration of knowledge and skills" are key factors shaping the future of Iran's university education system. It is expected that the results of this research will be an effective step in providing a structured and systematic interpretation of the main variables affecting the future of Iran's university education system and the relationships between them.

Human society has passed through three industrial revolutions: steam, electricity, and information technology. It will reach its peak of influence and, like the previous industrial revolutions; the winners of this era will be the dominant powers of the future world. This revolution, which is the result of the integration of biological, physical and digital technologies, can achieve national security at the individual and social, national and international levels by influencing the systems of governance, economic, social, educational and industrial systems. In its various dimensions (military, political, economic, cultural and environmental) to create dramatic changes in human society. In this study, we studied the global trends of these technologies, opinions of experts and published international documents and researches, calculated the main consequences of this technological revolution, and then held two meetings with experts in the field of technology in defense and security departments. we have identified the different dimensions and levels of the consequences and effects of these technologies on the national security of the Islamic Republic of Iran, and we have evaluated and validated the questionnaire designed by the research team. At the end of the questionnaire, a questionnaire was administered to 30 technology activists working in the defense and security sectors, and they approved the various parts of the conceptual model of the research.

The purpose of this research project is to investigate the dimensions of the Fourth Industrial Revolution and its impact on the development of technical and vocational training skills. The relationship between labor market in the first to third revolutions has been affected by economic, social, political, cultural, scientific and technological developments of revolutions. In this research, using documentary analysis and content analysis of journals, articles and scientific theories of the characteristics of the Fourth Industrial Revolution and its impact on the nature and manner of technical and vocational training skills in the European and Iranian labor market has been investigated.

The current research was conducted to analyze the identity of the highereducation curriculum in the era of the Fourth Industrial Revolution. Theresearch method was a qualitative case study. The potential participantswere expert professors and specialists in the fields related to theresearch topic. Eighteen participants were interviewed using thepurposeful sampling method. Brown and Clark's thematic analysismethod was used to analyze the data obtained from the interview.According to the results of the interview, the six organizing themes of thefirst stage are the transformation of curricula in line with the era of thefourth industrial revolution, technology, social innovation, the necessityof curriculum discourse with Industry 4.0, the convergence of disciplinesand interdisciplinary atmosphere, and fluid and organic curriculum.Based on the current research findings, universities and higher educationcenters should redesign and rethink their curricula to meet therequirements and atmosphere of the fourth industrial revolution andalign with the aforementioned characteristics.

The Fourth Industrial Revolution affected all industries and transformed the digital, cyber, and real worlds in the supply chains of corporations. Internet of Things (IoT) is one of the emerging technologies that mostly manifests the fourth industrial revolution. As the future of the food industry is tied to the design and management of supply chains enabled by technologies such as the IoT, this paper is to provide a model for developing an IoT-based intelligent transportation technology roadmap based on alternative IoT scenarios in the food-producing cold supply chain.

In this study, scenarios were developed using qualitative methods such as the PESTEL framework and content analysis, based on the critical uncertainty method or GBN, through open semi-structured interviews with experts in the food industry and IoT. After identifying the best IoT technology stock for each selected scenario, a roadmap was developed using the T-plan quick-start method during a tow-day-interactive workshop.

Communication infrastructure and time horizon of technology development were recognized as the most important uncertainties for applying IoT technology in refrigerated transportation of food cold supply chain in producing companies. Finally, “Mutation Alone” and “Ascent Slow” scenarios were selected and technology roadmaps were developed for each scenario in three layers.

Food companies with cold supply chains can use one of the roadmaps presented in this paper as guidelines to equip their transport fleet with IoT technology based on their current situation and choose one of the two selected scenarios. This would enable them to plan, control, and manage the cold transportation chain process by digitally monitoring, tracing, and information sharing in an efficient and effective way.

The aim of this study was to identify and prioritize non-technical skills required by engineering disciplines of Urmia University. The statistical population of this study included industrial employers and engineering graduates of Urmia University, which was selected by stratified sampling method based on Morgan table. The research method used is descriptive-survey. The measurement tool and data collection tool in this study was a questionnaire whose validity and reliability were examined and confirmed in the present study. SPSS 23 software was used for data analysis. The results of data analysis show that the average of all non-technical skills of Urmia University graduates in terms of employers is higher than the theoretical average, which is at a desirable level.In the ranking of skills, by surveying graduates, in critical skills from the highest and in emotional intelligence skills from the lowest average, and from the point of view of employers, graduates had the highest in responsibility skills and lowest average in creativity skills. It is recommended that the approved curriculum that the university considers for engineering disciplines to improve non-technical skills should be such that the curriculum is designed in according with the current and future needs of engineering organizations. Holding class projects, education and training essential skills that can develop students’ emotional intelligence and creativity skills should be considered.

The present article has been compiled with the aim of exploring the theoretical and experimental foundations of educational inequalities in the light of the developments of industrial revolutions, especially the fourth industrial revolution. Using the method of qualitative meta-analysis, the theoretical foundations and infrastructures of the developments resulting from the four industrial revolutions have been studied. Then the effects of revolutions and especially the fourth industrial revolution on educational inequalities in three main areas: access to or access to education; Resources at the disposal of the educational system; and was evaluated in terms of the performance of the educational system. The results showed that based on the theoretical foundations of economic inequality (Kuznets), social theory or the school of conflict and competition (Marx and the Frankfurt school), cultural theory (Bourdieu) and the theory of educational inequality (Rawls), the problem of inequality in the system can be stated. Education is constantly expanding in the three main areas of access, resources and performance of the education system. The first to third industrial revolutions have increased the quantitative and qualitative depth of educational inequalities, especially in developing or low-growth countries in the three main areas of access, resources and performance of the education system. The Fourth Industrial Revolution, with the emergence of opportunities such as the integration of technologies based on physical cyber systems and digital transformation, has positive, negative and conditional effects on the access, resources and performance of the educational system and educational inequalities.

Today, the digitalization of the economy to improve productivity and increase economic growth has been considered one of the dominant approaches in most countries of the world. Given the traditional structures governing production and trade in Iran and the declining competitiveness of its economy, which is associated with low productivity growth, low economic growth, and high unemployment, the development of the digital economy to solve part of the country's problems is a necessity rather than a choice. The purpose of this study is to identify the events, consequences, threats, and opportunities facing the digital economy in Iran based on current internal and environmental trends. This research has been done with exploratory nature and expands existing knowledge and cognition, correcting the way of proposing issues and ideas related to Iran's digital economy. Also, this research based on data search is qualitative. The method used is a combination of Scenario and Steep (v). This study explores four scenarios: the titles of angels of wealth, modernity at another time, backwardness, and rationality in limitations. Identifying indicators will make planners and policymakers aware of which scenario we are moving towards, and if we want to move towards the desired scenario, which indicators should we turn into the desired indicator

The present article has been written with the aim of analyzing the foundations and developments of education in vocational, technical and vocational universities in the light of the Fourth Industrial Revolution. Using the method of qualitative meta-analysis, the theoretical foundations and infrastructures of the developments resulting from the four industrial revolutions have been studied. Then the effects of these revolutions, especially the fourth industrial revolution on higher education centers and skill, technical and vocational universities were examined. The results show that it is necessary for the universities of technical and vocational to review the theoretical foundations of their university education in the light of the developments of the Fourth Industrial Revolution. Such a revision is mainly in the realm of flexibility, uncertainty, complexity. The Fourth Industrial Revolution is defined on the basis of two emerging trends: on the one hand, based on general innovations and changes in skills and technical training and advanced level professions, and on the other hand, the integration and convergence of technologies in the Industrial Revolution with A combination of humans and technologies such as: 3D printing, augmented reality, cloud computing, hologram, biometrics, IoT, artificial intelligence ... to improve learning and adaptation to better meet the expectations of society and the fourth industrial revolution . In such circumstances, the system of professional competence has emerged with an approach derived from the theoretical foundations of the Fourth Industrial Revolution.