Identifying components and driving indicators in green supply chain management based on Internet of Things

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

Identification and analysis of IoT applications in the fight against and control of epidemic diseases (Case study: Covid 19 disease)

IoT technology offers many benefits in health care and epidemic control and will greatly facilitate the process of continuous remote patient diagnosis and monitoring with wireless sensors and smart devices. This article aims to identify and analyze the applications of the Internet of Things to combat and control epidemics such as covid 19 disease. This research was applied in terms of purpose, which was conducted in two stages. First, by reviewing the theoretical foundations and previous studies through the method of reviewing texts, IoT applications in combating and controlling epidemic diseases such as covid 19 disease were identified; then, to confirm and prioritize the identified applications, these applications were provided to 23 experts from academic experts and experts in the medical field. IoT applications in the fight against and control of epidemic diseases such as covid 19, It has the dimensions of therapeutic applications (5 components and 9 indicators), Monitoring applications (4 components and 14 indicators), Information applications (2 components and 5 indicators), management applications (2 components and 8 indicators), prevention applications (7 components and 14 indicators). In the case of epidemics such as covid19 disease, The Internet of Things improves the quality of treatment and diagnosis, supports decision-making and monitoring patients 'vital signs, reduces hospital visits, and increases the ability to monitor and monitor patients' condition

The Impact of the Internet of Things on Promoting Electronic Health Services for COVID-19 Patients from the Perspective of Treatment Staff

Introduction: IoT technology offers many benefits in dealing and controlling COVID-19 disease and will greatly facilitate the process of continuous remote patient diagnosis and monitoring with wireless sensors and smart devices. Also, Internet of Things, has positive effects in the field of health and treatment and promotion of electronic health services, including reducing health treatment care costs and delivery of treatment services in a faster manner. This article has been prepared with the aim of investigating the effect of Internet of Things on the promotion of electronic health services for COVID-19 patients from the perspective of treatment staff (physicians and nurses) of Golestan accidents hospital in Kermanshah city. Method: This research from the type, is quantitative and from the objective, is practical. The statistical sample of the present study consisted of 86 medical staff of Golestan accidents hospital in Kermanshah, which included nurses and physicians. In order to collect data, a researcher-made questionnaire was used, which was approved by 5 experts in the field of health and treatment. Results: The results indicate that all variables with a positive path coefficient have a positive relationship between the variables and the impact of the Internet of Things on the promotion of e-health services is confirmed and significant. Conclusion: IoT applications and technology can be a tool for promoting e-health services for COVID-19 patients by educating medical staff and the general public, providing infrastructure, and other appropriate measures, and assisting e-health services in achieving their goals

Identifying and Analyzing the Application of the Internet of Things in Supply Pharmaceutical Chain Agility in post COVID-19

Introduction: The internet of Things has become more popular as a new technology since the advent of wireless technology, and attracted attention from supply chain management promoters. This study aimed to identify and analyze IoT applications in the pharmaceutical supply chain agility in the post-COVID-19 era Method: We first review previous studies in applications of IoT in pharmaceutical supply chain agility and identified the findings through qualitative content analysis. Then, the identified factors were given to 20 management and information technology experts to confirm and validate. Results: The results showed that IoT applications on the pharmaceutical supply chain agility in 9 components and 50 indicators. First of all, the most important factor is faster communication with other stakeholders (suppliers, manufacturers, distributors, and customers) using the IoT in the supply chain. Secondly, the use of IoT for drug production; manufacturers invest in technologies that lead to lower operating costs in the long term, because network devices and sensors do not make mistakes, do not need rest and training, and do not take vacations. Therefore, they increase the agility of the production process and are a reliable and cost-effective alternative for productivity in production. Conclusion: The wide applications of the proposed model indicate the need to consider the use of the IoT in the pharmaceutical industry supply chain in order to improve overall supply chain performance and focus on supply chain agility