جستجوی مقالات مرتبط با کلیدواژه « اینترنت اشیا » در نشریات گروه « علوم انسانی »

The presence of plants around us has many benefits, including reducing stress and creating positive energy in the work environment. But in the current worrying situation that has involved all people and organizations, it has become difficult to pay attention to the environment and the conditions of their maintenance and handling. On the other hand, maintaining plants and determining the optimal conditions for their maintenance requires a lot of time, money and knowledge. The Internet of Things creates a digital identity for all objects and collects information with its sensors and shares this information with appropriate objects and people at any time and place so that necessary actions can be taken; Therefore, the use of Internet of Things in the green library can solve the problem of people's time and knowledge in maintaining and creating a green and fresh environment and be effective in its potential and actual mission. To identify the applications of Internet of Things for the growth and maintenance of plants in the green library. In this research, documentary and library methods were used to collect and complete information. In the research, the use of Internet of Things in the green library has been discussed to determine the various components of plants, and at the end, the advantages and challenges of the implementation of the Internet of Things in the green library have been pointed out. The Internet of Things actually provides the best conditions for plants, the least damage to the environment while causing the least damage to library resources and users, but still, its implementation has challenges such as cost, lack of sufficient knowledge, interference, reliability, security and privacy, and insufficient network coverage and low internet speed.

With the emergence of various technologies such as blockchain, internet of things and big data, the approach and perspective to urban service management has changed. These technologies are part of the 4th generation industrial revolution, which are widely used in the creation of electronic services infrastructure, electronic city, and among other things, smart building. Considering the expansion of cities, the increase of urban population, the diversity of urban services and the emergence of new technologies, the development of urban services and its management requires more appropriate plans and models with new technologies in order to eliminate shortcomings. The main goal of this research is to provide a development model of urban services based on blockchain technology. To develop urban services by using the capabilities and effective capacities of blockchain. The type of method is developmental-applicative in terms of the goal, and the research method in this research is a combination of Delphi (qualitative) methods and structural equation modeling (quantitative), so in the first step of the research, data collection is used And information from library studies and surveying were done and in the next step, using the steps of the Delphi method, a semi-structured interview was used to confirm and explore the conceptual model, and in the third step, using the researcher's questionnaire. It is made from a survey of expert community and analyzed by structural equation modeling method using Smart PLS software. The findings of the research indicate that blockchain technology has a positive and significant impact on the development of city services, as well as environmental health services, recreational welfare services, protection and safety services, electronic education services, public transportation services and traffic are influential indicators. are in the development of urban services. The combined reliability of the model is more than 0.740 according to the correlation of the structures with each other

Smart cities are developed and built as interconnected urban domains where embedded elements can interact with each other and with the users residing in them. In building smart cities, Internet of Things has the potential to collect information about the urban environment, provide new services to citizens, facilitate their daily life and increase the ability to live in the city. In the current research, with the participation of managers, officials and academic experts, the key drivers affecting the smart city based on the Internet of Things have been identified and finally, the scenarios effective on the formation of the smart city based on the Internet of Things have been compiled. The research is applied in terms of purpose and descriptive-analytical in terms of research method. The method of collecting data and information was library, document and survey (interview). The review of scientific sources identified 26 factors affecting the smart city based on the Internet of Things, which were categorized into 6 dimensions, and a total of 25 people, including managers of related organizations and academic experts, were interviewed. Data analysis was based on prospective research technique; Including structure analysis, analysis of mutual effects based on Micmac and Scenario Wizard software. The results showed that there are 8 possible scenarios for the establishment of a smart city based on the Internet of Things, of which 1 scenario is in a strong and stable compatibility mode (zero incompatibility) and 7 scenarios are in a weak compatibility mode. The first scenario, which is a scenario with a positive direction, has an interaction effect score of 123 and a compatibility value of 2, while the second scenario, which seems to be unfavorable conditions for the future of the smart city based on the Internet of Things in Mashhad metropolis, has a total interaction effect score of -20 and the compatibility value is -1. The third scenario also has a compatibility value of -1 and with a total interaction effect score of 27, it can be one of the possible scenarios for the future of the smart city based on the Internet of Things in Mashhad metropolis.

 New technologies have profoundly changed the way people communicate and interact with their surroundings. These technologies affect every industry. Now, if according to the common definition, we define the supply chain as a set of interconnected activities that include coordination, planning and control of products and services between suppliers and customers. Looking at technological advances, we realize that these traditional structures are no longer self-sufficient, because digitalization has affected almost all aspects of human life, especially supply chain processes. The technologies of the fourth generation of industry represent the industrial revolution that has combined the Internet of Things with automatic systems such as artificial intelligence and its subset of machine learning, which are self-adjusting and self-learning. Such technological systems can change the supply chain from a centralized state to a distributed state, in fact, the deployment of these technologies provides distribution and decentralization for supply chains. The globalization of the economy and the increase in commercial competition have increased the importance of using innovative methods to achieve the goals of the supply chain. With the automation of processes, business activities have moved from manual operations to electronic transactions and all organizational processes have benefited from information and communication technologies. Considering that the design of most processes is at the disposal of centralized centers; There are always problems such as: poor efficiency, coordination at a low level and poor cooperation between the departments of a business unit, the emergence of distributed frameworks such as the blockchain platform and 4.0 generation technologies in addition to Organizations are helped in having complete transparency in transactions and cooperation with each other. They can share transactions on a peer-to-peer page. The purpose of research is to identify the components of the intelligent distributed supply chain and provide the structure of causal relationships for them, as well as the analysis of each of them in the framework of the presented structure. In the present research, codes and categories were first identified using the grounded method, and then the fuzzy cognitive mapping method was used to determine causal-effect relationships.In order to design the structure of the cause-effect relationships of the components of the intelligent distributed supply chain, it was extracted according to the fuzzy cognitive mapping method. Collective mapping was obtained by calculating the average of experts' opinions. According to its components, distributed decentralized supply chain can lead to improvement in information flows, promote healthcare and provide fair access to medical services. Also, assigning treatment priority to patients according to their physical condition for medical care, complying with the terms and conditions of the production line, reducing fraud, detecting authorized hazardous substances and removing drugs that have been licensed outside of the legal criteria can influence the company. High rents in the supply, prescription and treatment of the country to a great extent. The components of the correct implementation of the guidelines for hazardous drugs, the correct implementation of GMP rules, improvement in demand forecasting, correct and timely response of suppliers and suppliers, transparency and traceability, reduction in executive costs, Reducing the risk of implementing projects and carrying out contracts, behavioral data analysis algorithms, error and fraud detection algorithms, processes of identification, discovery, analysis, redesign, implementation and deployment, execution and monitoring, analysis of purchase plans and Procurement provides the possibility of tracking the information, political, monetary and back and forth flows of medicine, which represents its supply and demand among the manufacturer, government sector, patients, pharmacies, insurers, retailers of raw materials and importers. and reduces the possibility of fraud and corruption.Also, allocating treatment priority to patients according to their physical condition for medical care, complying with the terms and conditions of the production line, reducing fraud, detecting authorized hazardous substances and removing drugs that have been licensed outside of the legal criteria can influence the company. High rents in the supply, prescription and treatment of the country will be reduced to a great extent, which can be more effective for special and incurable patients, we know for certain that the required medicine for import and production, it is difficult and sometimes impossible to correctly identify and choose, with these created solutions, transparency is determined in whether the goal of the treatment program has been taken into account. Because we know that the distribution of special benefits is under the control of government officials and they define the priorities of subsidy allocation according to their decision-making power; This can be considered as one of the cases of corruption in the country's pharmaceutical industry. In the end, the improvement in the stock of raw materials and finished products, the non-issue of licenses for non-hazardous production lines in line with the production of hazardous drugs, the non-importation of domestic similar drugs, the elimination of middlemen and backdoors, the transparency of production costs. Transparency in contracts, transparency in the interests of the involved parties, transparency in payment to pharmaceutical companies, transparency in payment of pharmaceutical centers to drug dealers, transparency in pharmacy drug items, transparency in the risks after taking drugs, transparency in the way the budget is spent, The transparent and traceable payment system makes it clear whether the distribution and granting of licenses to natural or legal persons is done based on legal criteria and competently, while the government authority and decision-maker to avoid disclosure or The monopoly of the market cannot limit the transaction within the circle of friends and acquaintances, the benefit of political influence for the production of drugs and the distribution of imported drugs has been greatly reduced, the privileges have been removed from the circle of friends and acquaintances and in a competitive environment, they are given to companies. It will be real or legal that provide fair access to medical services.

The present study is descriptive in terms of its exploratory-applicative purpose, in terms of the method of data collection. The statistical population of this research was industry experts in Khuzestan province. samples were selected using the purposeful and accessible sampling method. In order to determine the sample size in the qualitative phase of the research, the theoretical saturation of the data and in the quantitative phase of the research was limited to the most referenced answers. In the qualitative phase of the research, a semi-structured interview method was used to collect data. The data of the qualitative phase of the research were analyzed with the help of qualitative content analysis technique. In the quantitative phase of the research, the data collection tool was a researcher-made questionnaire. Data from the quantitative section were analyzed using the best-worst method. We have also used Excel, Spss and Lingo software for data analysis. The findings of the qualitative phase of the research included 4 basic applications for the Internet of Things in the human resource management sector. These applications include: human resource technologies, ease of human resource activities, assistance to human resource actors and human resource development. The findings of the quantitative phase of the research showed that among the identified applications, the criterion of human resources development has the highest relative importance (with a weight of 0.386) and the criterion of ease in human resources activities has the lowest relative importance (with a weight of 0.145) from the point of view Industry experts.

With the globalization of the market, companies try to improve their performance by using different processes. The advancement of big data technology has caused marketing companies to store a large amount of data about their customers. Therefore, better understanding of customers by big data information technology and the use of complex statistical software to analyze the needs of tourists has been considered in recent decades. Therefore, the aim of this research is to investigate the use of big data analysis strategy, Internet of Things and artificial intelligence to improve the company's performance. The current research is quantitative in terms of data collection and survey. The statistical population of the research is web-based tourism and travel companies, 384 of whom were selected using Cochran's formula and available. The validity of the research factors was confirmed by experts and Cronbach's alpha was used to confirm the reliability of the research. The findings of the research showed that artificial intelligence and the Internet of Things have a positive and significant effect on the creation of customer knowledge and user knowledge. Also, the creation of customer knowledge, user knowledge of the foreign market has a positive and significant effect on the rational decision making of marketing and the rational decision making of marketing.

The main factor in successful supply chain financing services is the use of business-oriented information systems. The current research aimed to further associate blockchain technology with the Internet of Things (IoT) and apply them in the field of supply chain finance. The research presents a new information management framework based on blockchain technology and IoT, which contributes to information transparency in the supply chain financing process. By managing information based on blockchain technology and IoT, the operational cost of the entire supply chain can be greatly reduced due to the integration of capital, information, and commercial flows in the supply chain. The results can be summarized as follows: (1) In a symmetric information environment subject to the limitation of maximizing the expected return of all parties, the incentive subsidy under the compatible incentive mechanism has a positive relationship with the maturity of blockchain technology and the operational capability of small and medium-sized enterprises (SMEs) and a negative relationship with the action level coefficient, absolute risk aversion coefficient, and external uncertainty of these companies. (2) The expected income that satisfies the mechanism of incentive compatibility has a positive relationship with the maturity of the blockchain technology, the broker’s profitability, and the net profit received by the employer. (3) In an asymmetric information environment, a varied incentive subsidy is more effective than an equal incentive subsidy in different SMEs with different operational capabilities and provides different incentives for these companies. Therefore, it can be concluded that in a symmetrical information environment, the equal incentive subsidy is more effective, but in an asymmetric information environment, a varied incentive subsidy is more effective.

The concept of a smart city involves utilizing information and communication technology to improve the livability and sustainability of urban areas and unique locations, thereby promoting innovation and entrepreneurship. The extensive use of digital sensors and control systems for managing urban infrastructure has led to the development of various applications with the Internet of Things (IoT) playing a crucial role in enabling new services and enhancing interaction levels. As this technology continues to progress, it holds the potential to transform every aspect of human life. This research aimed to conduct a spatial analysis of smart city indicators, particularly those related to the IoT across 13 regions of Mashhad metropolis. This study took an applied approach with a descriptive-analytical nature by utilizing both documentary (library) and field (questionnaire) data collection methods. The sample consisted of residents from 13 regions within Mashhad metropolis with a sample size of 171 questionnaires determined based on the 2016 population of 3,062,242. The questionnaires were distributed proportionately across each region. The data analysis was conducted by using SPSS software and decision-making methods, such as MEREC and COCOSO. Furthermore, the structural equation modeling approach (Smart PLS) was employed for a comprehensive analysis. The research findings indicated that Regions 9, 1, and 4 showed the highest levels of smart city indicators based on IoT in Mashhad, while Regions 3, 12, and 10 exhibited the lowest levels. According to the results of the PLS structural equation modeling test, the variable of smart governance showed the highest overall impact coefficient (1.523) on the IoT-based smart city followed by smart economy (1.256), smart citizen (0.895), smart environment (0.687), smart mobility (0.622), and smart living (0.160).

A smart city is a sophisticated ecosystem that leverages advanced information and communication technologies to enhance the appeal and sustainability of urban areas and distinctive locations, fostering innovation and entrepreneurship. The widespread adoption of digital sensors and control systems for managing urban infrastructure has facilitated various applications with the Internet of Things (IoT) emerging as a solution for delivering new services and enhancing interactive experiences. In recent years, the concept of smart cities has gained traction in Iran with cities, such as Urmia, Isfahan, Tehran, Mashhad, and Tabriz, being recognized as smart cities. Due to its rapid growth and development, as well as social, economic, and environmental changes in line with new needs, Mashhad City needs to provide services that are suitable and deserving for its residents, especially considering the significant number of domestic and foreign pilgrims, who visit the holy shrine of Imam Reza annually. Therefore, the indigenous capacities of the city alone are not sufficient for its development and the collaboration of various sectors, especially the communication and IT sectors, is necessary to elevate and progress it in new areas. Hence, this paper aimed to examine the distribution status of IoT-based smart city indicators in 13 districts of Mashhad municipality and answer the question of how the current status of IoT-based smart city indicators was in the mentioned districts. 

This research was applied in terms of its objective and descriptive-analytical in terms of its nature and method. The data collection method included both documentary (library) and field (questionnaire) researches. The sample consisted of residents from the 13 districts of Mashhad metropolis. Cochran formula was used to determine the sample size for each district, resulting in a total of 171 questionnaires based on a coefficient of 0.075 and population of 3,062,242 in 2016. The questionnaire was designed in a 5-point Likert scale format and distributed and completed across the districts of Mashhad. The questionnaire was validated based on the input from university professors and the necessary modifications were implemented. After collecting the questionnaires and assessing their reliability using the Cronbach's alpha method, the gathered data were analyzed by using descriptive and inferential statistics, including the Chi-square test, skewness and kurtosis tests, and one-sample t-test, within the SPSS software environment. Additionally, decision-making methods, such as MEREC and COCOSO, were utilized for data and information analysis. Finally, the Smart PLS software was employed to construct the structural equation model and determine the impact levels of the desired indicators on the IoT-based smart city. 

Upon confirming the normal distribution of the data through skewness and kurtosis tests, the results of the one-sample t-test indicated that all the indicators were significant. Among the IoT-based smart growth indicators, the first factor (smart mobility) exhibited the highest mean of 2.7154, while the component of smart citizen had the lowest score of 2.1287 compared to the other components. Following the weighting of the indicators by using the MEREC method and application of the COCOSO technique for ranking the districts, the results revealed that District 9 secured the 1st rank with a score of 3.412 and District 1 showed the 2nd rank with a score of 3.349 with the remaining districts following in subsequent ranks. Furthermore, the results of the structural equation modeling by using SMART PLS indicated that the variable of smart government exhibited the highest overall influence coefficient of 1.523 followed by smart economy (1.256), smart citizen (0.895), smart environment (0.687), smart mobility (0.622), and smart living (0.160), showcasing their influences in the IoT-based smart city. 

A smart city represents a comprehensive framework that assesses various facets of intelligent initiatives, empowering cities to leverage urban networks, bolster their economic prowess, and establish more efficient systems. This network relies on wireless networks, broadcasting networks, internet networks, telecommunication networks, and sensor networks with the Internet of Things (IoT) at its core. The research findings were consistent with the conclusions of other researchers, such as Mafi and Gholizadeh (2015), Amelifar et al. (2022), and Sudeep et al. (2018), highlighting the impact of IoT in urban settings, resulting in savings in time, cost, energy, materials, and human resources, and ultimately enhancing the quality of urban life. The high rankings of Regions 9 and 1 in Mashhad metropolis in terms of smart city indicators validated this assertion as evidenced by the high quality of urban life in these areas and the residents' preference to live there.

Today, the development of the tourism industry and its sustainability depend to a large extent on the use of information technology that exist in this field should be used to the fullest. The aim of the current research is to provide a model of sustainable tourism solutions with the approach of technological applications of Internet of Things in Kermanshah city.

This research is a qualitative research that was conducted in two stages. First, by reviewing the theoretical foundations and previous studies through the qualitative content analysis method, the solutions for the sustainability of tourism were identified and interpreted with the approach of technological applications of the Internet of Things. Then, to confirm the validation of the identified solutions, these solutions were provided to 20 experts in the field of information technology and tourism.

The results of the research show that tourism sustainability solutions with the approach of technological applications of the Internet of Things have a transportation dimension including the components of transportation announcements and special travel experience, information dimension including training and awareness, custom dimension Development includes the components of environment customization and service customization, the feedback dimension includes the feedback component of services, the service dimension includes the components of urban services and private services, the financial dimension includes the components of costing and cost reduction.

Organizations of tourist destinations should follow the example of successful countries in the field of smart tourism, to set up infrastructures to benefit from the technological applications of the Internet of Things. This work can be done by employing the expert manpower of these countries and using the services of smart companies in order to facilitate the mentioned process. It should be noted that the use of identified solutions requires a good coordination between the offending bodies such as the aviation industry, the tourism industry, the government and the and its tools, including the Internet of Things. It is inevitable and the capabilities and resources municipality and all related organizations and bodies.Conflicts Interest: The author(s) of this article declared no conflict of interest regarding the authorship or publication of this artivle

Recent smart city strategies are directly or indirectly related to Internet of Things (IoT) applications. Administrative and constitutional norms can impose motivations to introduce applications of the IoT in the public administration. The results of this paper introduce the IoT design necessities for a closer exchange between citizens and the state, namely ensuring the legal conformity of automated administrative procedures and not existing any margin of appreciation. Processing personal data in IoT applications requires that public and private institutions comply with the principles of data protection laws, namely the principle of privacy of personally identifiable information and the principle of necessity and purpose limitation. Moreover, the results show the potential of the IoT to change administration and administrative law i.e., transition of roles for humans and the public administration, opportunity creation of cooperative legislator, construction information symmetries and equity, changes in administrative procedures and structures, and redirection of human resources where they are really needed. Achieving these advantages requires a legal system that can take into account the necessary rules during the implementation of an IoT application. Germany's regulatory experience in this regard can be taken into consideration by Iranian legislators.

Investment in industrial equipment is a necessity for every industrial unit. In this study, a mathematical model for intelligent monitoring of the performance of industrial equipment of wind turbines using the Internet of Things and unmanned aerial vehicles (UAVs) with an edge computing approach is investigated. In this model, the performance of the UAV for intelligent monitoring of wind turbines is investigated in three stages: detection, computational offloading, and local computations. Considering the bi-objective nature of the final model, the model was solved by a genetic algorithm with non-dominated sorting and the epsilon constraint method using random numbers. According to the findings of the study, the epsilon constraint method loses its efficiency with increasing model dimensions and is not able to find the Pareto frontier in problems with large dimensions. For this purpose, the model was solved using the second version of the genetic metaheuristic algorithm with non-dominated sorting and a new structure for representing chromosomes. This algorithm was able to solve problems in large dimensions that the epsilon constraint method was unable to solve. According to the results, the epsilon constraint method and the genetic algorithm with non-dominated sorting differ only in the time to solve, and have similar performance in other criteria; as a result, the genetic algorithm with non-dominated sorting is proposed as the superior method.

With increasing environmental concerns from consumers, governments and communities around the world and organizations have sought to develop environmentally friendly programs such as green service and product development, green behavior and green technology. The aim of this study was to investigate the effects of IoT, green shopping intention and green operations on green behavior of employees in the hotel industry (Case study: Hayat Shargh Apartment Hotel). The present study is applied in terms of purpose and descriptive-correlation in terms of implementation method. The statistical population of this study was all employees of Hayat Shargh Apartment Hotel, whose number is 100 people. The statistical sample was calculated using Morgan table, 80 people and the random sampling method was simple. In order to collect data, Basana et al (2021) questionnaire was used. In order to determine the validity of the questionnaires, content validity and professors' approval., construct validity, convergent and divergent were used and the reliability of the questionnaires was assessed and confirmed using Cronbach's alpha coefficient. In this research, structural equation modeling methods using PLS software have been used to analyze the data. The results showed that the Internet of Things has a significant effect on green operations and green behavior of employees. The intention to buy green also had a significant effect on green operations and green behavior of employees. But the impact of green operations on staff green behavior was not confirmed.

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.

The importance of the civil liability of product manufacturer and Internet of Things service provider is caused by the emerging damages of the Internet of Things to consumers. The integration of hardware, software and service in the Internet of Things is a product that is a continuous goods and service at the same time. The approach of the laws and judicial procedure of the European Union, the United States and Iran are almost the same whether software is a good or a service. In the mentioned legal systems, the basis of the civil liability of the producer of the Internet of Things product is Strict liability, and the basis of the civil liability of the provider of the Internet of Things service is Negligence. Due to the special type of Internet of Things product, on the basis of Strict liability, the element of Negligence in civil liability lawsuits is removed and it is enough to prove the Causal Link by the consumer. Malfunction of the Internet of Things device causes life and financial damage to the consumer and unauthorized access and misuse of personal data. The producer and the Internet of Things service provider are responsible for paying the damage caused to the consumer and any other person who is harmed by the consumption of the goods. Due to the inadequacy of the laws, Iran's laws in the field of civil liability of product manufacturer and Internet of Things service provider need to be legislated.

Introduction :

The increase in population in urban centers requires the provision of sufficient services and infrastructure to meet the needs of city residents. Furthermore, this population density in highly populated cities poses challenges in terms of governance, economic growth, environmental sustainability, quality of life, transportation, electricity, water consumption, and other issues. Smart cities are typically created with advanced infrastructure and modern information and communication technologies, and the Internet of Things (IoT) provides intelligent solutions for future cities by connecting smart devices and utilizing big data analytics. This allows city management and residents to access a wealth of real-time information about the urban environment and make decisions, take actions, and plan for the future based on that information. Given its current and future population attraction and potential, the city of Mashhad requires synchronization with modern developments to optimize the use of resources and facilities and create the necessary foundations to meet future needs. Therefore, this research aims to identify the key factors and drivers for Mashhad City to achieve a smart city model based on the Internet of Things in the future. Accordingly, the research question of this study is: What are the key drivers influencing the formation of an IoT-based smart city in the city of Mashhad in the future (by 2033)?

In the present study, the research method was a mixed approach in terms of objective and application and a combination of descriptive-analytical and future-oriented approaches in explaining the structure. Accordingly, the most influential factors in the formation of an IoT-based smart city in Mashhad were examined. Data collection was carried out through documentary methods (library sources and scientific journals) and field methods (using a questionnaire tool). In this research, the statistical population consisted of 25 experts, professionals, and urban stakeholders available, including city managers (mayors of districts, deputies, heads of organizations, and managers of urban areas, especially the Municipality of Mashhad), members of the Islamic City Council (especially the Research Center of the Islamic City Council of Mashhad), urban experts in the Mashhad County Governorate and the Office of Urban Affairs and Provincial Councils of Khorasan Razavi, the General Directorate of Roads and Urban Development of Khorasan Razavi, professors at the Ferdowsi University of Mashhad, Islamic Azad University (Mashhad Branch), Payame Noor University, and non-profit higher education institutions located in Mashhad, as well as specialists in the urban field. In this study, structured interviews were conducted with several stakeholders in urban planning and information technology using the Delphi method to identify key factors. Then, by synthesizing the factors obtained from the interviews and studying the documents in the research background, the validity and reliability of the variables were confirmed by experts. Ultimately, the factors were evaluated in the form of a future-oriented questionnaire.

Using field studies and library research, the most influential factors in the formation of an IoT-based smart city in Mashhad were identified. Then, using the quantitative method of future-oriented analysis and the Micmac software, the level of influence or susceptibility of the identified factors was determined. Therefore, the research findings indicate that among the 26 key factors influencing the formation of an IoT-based smart city, after examining the indicators and extracting the influential key factors (direct and indirect), 7 key drivers have had the greatest impact on the formation of an IoT-based smart city in Mashhad. These drivers include government policies in the field of information technology, improving the level of information literacy and scientific capabilities of citizens, investing in the development of communication and information technology infrastructure, creating a platform for citizen participation in urban development, raising awareness of the benefits and advantages of smart facilities through collective knowledge and culture-building, establishing and strengthening advanced infrastructure based on a smart city, and extensive use of information and communication technology (ICT).

In a summary of the research results, it can be mentioned that government policies in the field of information technology can have significant effects on the deployment of IoT-based smart cities in the short-term ten-year planning horizon. Furthermore, improving the level of information literacy and scientific capabilities of citizens can provide a suitable platform for this in Mashhad, as harnessing relevant knowledge and information is essential for the application of science and new trends in society. Additionally, investment in the development of communication and information technology infrastructure holds special importance. By allocating more capital to this area, the foundation for the formation of a more advanced and better smart city, considering IoT technology, will be established. It should be noted that the use of a new phenomenon requires awareness. Therefore, raising awareness among citizens and officials about the benefits and advantages of replacing conventional facilities with the utilization of collective knowledge and culture-building is crucial. Moreover, by creating and strengthening advanced infrastructure based on a smart city, progress can be made towards achieving the ultimate goals, ultimately leading to the realization of those goals through extensive use of information and communication technology.

This research aims to identify key components and indicators for managing green supply chains utilizing the Internet of Things (IoT). The methodology employed is a mixed approach consisting of two stages. First, through qualitative content analysis, this study reviews theoretical foundations and previous research to identify indicators associated with drivers for green supply chain management based on IoT. Subsequently, these indicators were presented to 22 experts in management and information technology to validate and verify them. The research findings reveal that the IoT-based green supply chain model encompasses nine components and 66 indicators. These components include intelligent supply chain management, real-time monitoring of object statuses in the supply chain, intelligent object transfer along the supply chain, intelligent object location in the supply chain, information transparency within the supply chain, corruption reduction, intelligent quality management within the supply chain, intelligent sourcing in the supply chain, intelligent distribution management, and intelligent inventory management. The comprehensive drivers in the proposed model emphasize the importance of incorporating IoT in supply chain management to enhance overall supply chain performance while addressing environmental concerns.IntroductionAs technology continues to advance rapidly across various industries, mankind has enjoyed an improved quality of life. However, the environmental toll of recent decades, such as global warming, water scarcity, polar ice melting, habitat destruction, and deforestation, has raised significant environmental concerns. Modern human activities have contributed to these environmental issues. Consequently, there is mounting pressure on companies to integrate environmentally responsible practices into their operations and supply chains. Recognizing the pivotal role of green supply chain management in sustainable job creation, environmental problem reduction, improved public health through safer food consumption, and enhanced agricultural land productivity, recent years have witnessed increased interest and research into the determinants of green supply chain management.MethodologyThis research adopts a mixed-method approach conducted in two stages. Firstly, qualitative content analysis is employed to review theoretical foundations and prior studies, facilitating the identification of indicators associated with drivers for green supply chain management using IoT. Subsequently, these identified indicators are validated and verified by 22 experts specializing in management and information technology.ResultsThe research findings indicate that green supply chain management, with an IoT approach, comprises nine components: intelligent supply chain management, real-time monitoring of object statuses, intelligent object transfer, intelligent object location, information transparency, corruption reduction, intelligent quality management, intelligent sourcing, intelligent distribution management, and intelligent inventory management.ConclusionsThis study highlights the presence of nine components and 66 indicators within the IoT-based green supply chain model. These components encompass various aspects of supply chain management, emphasizing the importance of incorporating IoT technology to enhance overall supply chain performance while addressing environmental considerations. Due to the growing concerns surrounding environmental issues and the emission of harmful substances by companies, it is highly recommended to incorporate the IoT into supply chain management. This integration serves to monitor and control the quantity of waste generated, and encourages the use of environmentally-friendly 3D printing for creating IoT sensors instead of traditional plastic materials. Furthermore, it is advisable to optimize waste collection schedules and routes for garbage trucks, as these measures can significantly reduce the time and resources spent on waste management. To facilitate this transition, managers should organize in-service training programs to educate employees about IoT technology and communication equipment, emphasizing the positive impact of these advancements on green supply chain management. Additionally, adopting state-of-the-art technologies like Radio-Frequency Identification (RFID) in supply chain systems can contribute to the development of a sustainable and environmentally-conscious supply chain. Legislative bodies should also play a crucial role in promoting green supply chain practices by identifying and addressing legal loopholes in existing supply chain-related laws. This can be achieved through the implementation of incentives, such as tax reductions for eco-friendly companies, or penalties, including tax hikes, financial fines, and even legal repercussions, to encourage the adoption of smoother and more environmentally responsible supply chain management practices. It's worth noting that this research has certain limitations. It primarily relied on articles within specific databases during a defined timeframe, excluding other valuable sources like foreign books and theses due to accessibility constraints. Furthermore, qualitative research inherently depends on the researcher's interpretation and perspective, potentially affecting the reliability of the results. Lastly, challenges related to the COVID-19 pandemic and respondent reluctance posed difficulties during the research process.

As the Internet of Things (IoT) continues to rapidly develop, businesses are increasingly investing in incorporating it into their processes. However, many companies have yet to adopt this technology in their human resource management practices due to a lack of clear understanding of its potential applications in this area. This is largely due to the limited research literature available on the subject. This research aims to develop a conceptual framework that describes the potential applications of the Internet of Things in human resource management. Additionally, the study aims to raise awareness among businesses about the various benefits that can be gained through the implementation of this technology in their human resource processes.
In this research, firstly, previous studies conducted on the subject were reviewed. Secondly, to answer the main question of the research, semi-structured interviews were conducted with nine experts in the fields of the Internet of Things and human resources management based on the snowball method. The achieved data were analyzed by conducting a thematic analysis and coding the data with MAXQDA software.
The main human resource management processes in which the applications of the Internet of Things were identified by the current research include six key areas; 1. recruitment, 2. training and development, 3. performance management, 4. service compensation, 5. maintenance, and 6. termination of service. These applications in the mentioned processes respectively included 1.1. Collecting and analyzing the conscious and unconscious data of employees to offer cooperation opportunities to the elite workforce 1.2. Selecting and attracting the most qualified applicants to the organization 1.3. Compilation of productive work schedule of employees 1.4. Creating the possibility of remote interviews with job seekers and reducing recruitment costs in this way, 2.1. Assessing the needs of employees for training programs after analyzing their performance 2.2. Identifying highly stressed and aggressive employees and providing them with stress and anger management courses 2.3. Improving the self-assessment skills of employees and helping their personal growth and development through it, 3.1. Smartening and automating employee performance control and making it free from any human errors 3.2. Establishing a fair and justice-oriented evaluation of the performance of employees 3.3. Making it possible for employees to evaluate the organization's performance, 4.1. Creating a reward system based on employee performance and encouraging or punishing them accordingly 4.2. Promotion or job rotation of employees after analyzing their behavioral data 4.3. Providing facilities and benefits according to individual tendencies and interests of employees, 5.1. Monitoring the health and physical condition of employees through smart watches and bracelets 5.2. Warning the employees or the manager of the relevant unit when one of the employees is in unfavorable physical conditions 5.3. Ensuring the safety of employees by foreseeing workplace accidents 5.4. Facilitating the daily activities of employees through the intelligentization of the work environment 5.5. Arranging employees in organizational units logically and appropriately after identifying the existing communication patterns among them, 6.1. Identifying employees who are inclined to leave the organization and preventing them from doing so by providing valuable suggestions to them which can result in a reduced rate of leaving the organization, and 6.2. Not losing touch with employees during and after the off-boarding process.
The Internet of Things causes more effective and more efficient management of human resources through the intelligentization of HRM processes and making them data-driven and free from any human errors.

The Internet of Things as a new generation of connection and communication between intelligent objects through Internet is a concept that has recently entered the country's governance literature. Due to the possibility of identification and access to personal information through the analysis and combination of collected data, effective protection of personal data has been proposed as a must in the context of this technology. Iran's legal system lacks a law that is dedicated to the protection of citizens' personal data, only in the resolution of the Supreme Council of Cyberspace dated 2018-10-22, the requirements governing the Internet of Things in the National Information Network have been discussed. Based on the teachings of comparative law, we can benefit from the experiences of other systems to overcome similar challenges. Based on the descriptive analytical method, the current research has extracted the legislative patterns in the discussed field by examining all the laws and regulations of the legal systems of the European Union, the People's Republic of China, and the United States of America and answered the question of which type of legislative model is desirable for the legal system. It seems that among the proposed approaches, a combination of a comprehensive model and self-regulation with a broad definition of personal data can be a suitable option for drafting the law.