جستجوی مقالات مرتبط با کلیدواژه "انقلاب صنعتی 4" در نشریات گروه "مدیریت"

With the advent of new technologies, the fourth industrial revolution has caused change and transformation in the manufacturing and service industries of leading countries.

This study seeks to provide an appropriate model for achieving sustainable development, as well as identifying the factors affecting sustainable development with the approach of the Fourth Industrial Revolution.

In this study, we tried to identify and categorize the obstacles to sustainable development as well as the opportunities of the Industrial Revolution 4.0 in order to create sustainable development by examining the literature and the opinion of experts during the Delphi technique. Then, the interpretive structural modeling approach was used to level and determine the relationships between stability barriers. In the next step, the opportunities of the Industrial Revolution 4.0 were ranked by the fuzzy AHP method.

In the proposed model of this study, barriers to sustainability in five dimensions of economic, social, environmental, technical and political and opportunities of the fourth industrial revolution in five dimensions of technology and information, environmental, managerial and economic, social and organizational and supply chain management were extracted.

The results of this study showed that political, technical and economic barriers have the greatest impact on sustainability and sustainable development in industry, respectivelyand environmental and social dimensions have the greatest impact on political and technical barriers, respectively. Alsoamong the opportunities of the Industrial Revolution 4.0the information and technological opportunities of the Industrial Revolution 4.0 have the highest rank and the supply chain management has the lowest rank.

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.

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.

Human resources is no longer a simple and traditional concept as in the past, and these days we are on the threshold of a great transformation, the engine of which is digital technologies. Therefore, the current research was carried out with the aim of achieving human resource management scenarios in the fifth industrial revolution.

The current research is applied in terms of purpose and exploratory in terms of nature and descriptive method. The purposeful research sampling method includes 9 researchers and university professors in this field. The method of collection and analysis, the researcher first reviewed the literature on human resources management in the fifth industrial revolution and then expert panels were used in the MICMAC software for its analysis.

The obtained scenarios included wild geese, (small) sinister owl, turtle and dolphin in a cage. In the first scenario, "wild geese", HR is smart and the organization is also smart. In the first scenario, the "evil owl" is traditional HR but a smart organization. In the third scenario, "turtle", human resources are traditional and the organization is also traditional. In the fourth scenario, the "dolphin in the cage", HR is smart but the organization is traditional.

Based on the findings, the scenario of the miraculous wild geese and the scenario of the dolphin in the cage are disastrous for the possible future of organizations in the fifth industrial revolution, and every organization should examine its current situation in the four extracted scenarios to face the fifth industrial revolution and make the necessary preparations for to face it.

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.

As a revolutionary invention, the Internet is always evolving into a new type of hardware and software that makes it irresistible to anyone. The type of communication seen today is human-to-human or human-to-machine, but the Internet of Things promises a great future for the Internet, where it is machine-to-machine. The Internet of Things is defined as a paradigm in which objects with sensors, actuators and processors communicate with each other to achieve a meaningful purpose. Human resource management is a systematic approach that provides practices to support all aspects of the employee life cycle, from recruitment to exit. This article examines the impact of the Internet of Things on human resource management in the fourth industrial revolution and tries to develop a framework to understand it. The results of the survey showed that during the transfer of workflow to a digital and simple workflow, there is a need to measure the benefits of internal and outsourcing solutions for personnel management. These are the parameters that can justify the costs of an internal solution or a cloud-based human capital management solution by objectively measuring both options. These key performance indicators are workflow, flexibility, accountability and cost-effectiveness. Workflow is a continuous input-output process in a company that can sometimes be compressed. Without the help of automation, these setups are prone to mistakes due to repetitiveness.

While Industry 4.0 has been trending in practice and research, operations management studies in this area remain nascent. We intend to understand the current state of research in Industry 4.0 in different disciplines and deduce insights and opportunities for future research in operations management. In this paper, we provide a focused analysis to examine the state-of-the-art research in Industry 4.0. To learn the perspectives of researchers about Industry 4.0, we conducted a large-scale, cross-disciplinary and global survey on Industry 4.0 topics among researchers in industrial engineering, operations management, operations research, control, and data science at the 9th IFAC MIM 2019 Conference in Berlin in August 2019. Using our survey findings and literature analysis, we build structural and conceptual frameworks to understand the current state of knowledge and to propose future research opportunities for operations management scholars.

The identity of a modern company is primarily shaped by the applied innovative technologies, such as block chain or the Internet of Things. Human Resources (HR) nowadays generally faces various difficulties in the world internet era and spends a lot of time connecting, screening, and verifying the resume of applicants, conducting credentials verifications, and checking backgrounds to reduce the likelihood of poor recruitment. For example, recruiters connect the profile of candidates from different channels such as direct application, recruitment agency, and social media; and hiring resume verifications is therefore a bottleneck. The purpose of this research is to develop a block chain-based human resource (HR) framework to match the needs from the company and workforce competencies. Based on Block chain technology, this paper aims to combine traditional encryption technology with Internet-distributed technology, to establish a human resource information management model that reduces the risk of authenticity of human resource information. This model aims to solve the lack of discrimination of the authenticity of human resource information, and to provide authentic and effective decision support information to the human resource management of an organization. Consensus mechanism, smart contract, accounting, and payment functions of BC can provide the basic support for human resource information management.

Today, 4.0 marketing is a strategic phenomenon that has received a lot of attention from managers due to its significant impact on corporate performance. Therefore, the purpose of this study is to identify the most productive countries, authors, sources, important keywords, and the time trends of their publication in the field of 4.0 marketing. It also aims to identify applications of the latest trends. The present study has used a mixed-methods approach (quantitative-qualitative) to achieve the research goal. First, in the quantitative part, a bibliometric analysis with data related to marketing 4.0 is performed. The data were collected from the Scopus database from 2011 (Industry 4.0) to 2021 and were analyzed using VOSviewer software. Then, in the qualitative part, the applications of artificial intelligence in marketing were identified as the latest trend emerging through a systematic literature review. Based on the findings of the first part, the time trend refers to three periods of social media marketing, digital marketing, and marketing based on artificial intelligence. In the second part, the applications of artificial intelligence in marketing were identified and categorized into nine concepts of location, price, promotion, product, employees, service, sales, customer, and decision making. Considering the increasing attention of researchers and managers around the world to the development of the transformational technologies of industry 4.0 in marketing activities, which is called Marketing 4.0, this research could identify emerging and growing trends in this field to pave the way for researchers to conduct more applied studies and the success of marketing managers in using the latest trends in this field.

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.

in the industry 4.0 the emergence of major technologies such as artificial intelligence and the Internet of Things has led to widespread changes in business models, with banks having a larger share of these developments. Despite the research done to change the business model in the Fourth Industrial Revolution, the issue of change in the banking supply chain in the industry 4.0, has been almost neglected.Therefore, in this article, after reviewing the research conducted in this field, in order to identify the influential variables and understand the existing relationships, using a fuzzy dimatel technique and system dynamics modeling approach, a dynamic model is presented, which with Drawing Circular diagram to help better understand the role of the industry 4.0 on the supply chain of banking services. The results show that the connection of new actors to the supply chain of banking services, cooperation between organizations, systematic sharing of customer information between partners, investment in the IT department of the bank and development of digital banking infrastructure by the central bank, respectively, have the most impact and trust. Through perceived usefulness and supply chain stability, it has the greatest impact on the model of the impact of the industry 4.0 on the development of digital banking.

One of the most important consequences of the fourth industrial revolution is the digitalization of the business environment and the expansion of data-driven marketing. The consequences of these developments will have a profound effect on marketing research. The purpose of this study is to identify the components of value among the large volume of customer feedback in social networks using “Machine Learning” to analyze “Big Data”. This research is descriptive-survey in terms of applied purpose, qualitative in terms of data collection method and qualitative-quantitative (mixed methods) in terms of implementation. For this purpose, the tourism industry is selected as a case study and 8290 customers' opinions are collected from the Internet in this regard and the components of value are extracted using two different methods of "data clustering" and extraction of “association rules". The results of the research in the data clustering section include the identification of 20 value components in relation to the values desired by tourists. Also, using the second method (association rules), seven laws were extracted from the hidden knowledge, in the relationships between the phrases used in the opinions of tourists. In general, the results show that using Big Data analytics and “Machine Learning”, the process of “marketing research” is possible with higher speed and accuracy and lower relative cost.

Abstract
Irrespective of culture, geographic or economic differences, the use and dissemination of advanced technologies is changing the way humans live, work and interact. It is only through collective and collaborative action, responsible and responsive leadership, and acceptance by policy-makers that public governance, is something that should be a shared endeavor, can states forge a positive way forward for citizens. Agile governance is a tool to help citizens, organizations and policy-makers join forces to build a new public governance model for the Fourth Industrial Revolution, one that seeks to ensure that policies are adaptive, human-centered, inclusive and sustainable. What is agile governance and what are its characteristics? What tools can be considered for agile governance, and what is the relationship between public policy and agile governance? This article has been tracked. Accordingly, the research method of this paper is analytical-documentary type. Considering that such a subject has not been considered in the field of public policy making in Persian language, this paper plays an important role in the development of this topic in the context of Iranian organizations. This article also shows that Iranian state organizations are forced to pay attention to agile governance.