Investigating the role of Internet of Things technology as an environmentally friendly technology in expanding and improving businesses based on customer value

Subject Areas : Environmental managment

Leila  Rahiminasab ¹ (Ph.D. student in Business Administration, Department of Business Administration, Faculty of Management and Economics, Science and Research Unit, Islamic Azad University, Tehran, Iran.)
Hosein  Vazifehdoost ² (Professor of Business Management Department, Faculty of Management and Economics, Science and Research Unit, Islamic Azad University, Tehran, Iran. *(Correspondence Author))
karim  Hamdi ³ (Assistant Professor, Department of Business Administration, Faculty of Management and Economics, Science and Research Unit, Islamic Azad University, Tehran, Iran.)

Received: 2023-02-18 Accepted : 2023-05-27 Published : 2023-06-22

Keywords: internet of things technology, Improving businesses based on customer value, ecosystems, environmentally friendly technologies,

Abstract :

Background and Objective: Today, with the increasing use of the Internet and network communications, experts have decided to add objects to the wide circle of intelligence so that apart from humans, objects themselves have the ability to communicate with each other in crisis situations. Therefore, they have created Internet of Things technology as an environmentally friendly technology. Therefore, this study was conducted with the aim of investigating the role of Internet of Things technology as an environmentally friendly technology in the expanding and improving businesses based on customer value. Material and Methodology: This research was descriptive-analytical and was conducted in 2021. The method of collecting information in this study is the method of library studies, scientific resources, internet, interviews with experts, professors and the means of collecting information through questionnaires. The sample size investigated in this research was 385 people, most of whom were between 30-39 years old. Findings: The results showed that there was a significant relationship between the analysis of the Internet of Things network model as an environmentally friendly technology and the participation of ecosystems (P<0.05). Also, there was a significant relationship between the interactions of e-commerce ecosystems and Internet of Things architecture (P<0.05). Internet of things has a positive and meaningful effect directly on business components. The estimated coefficient was equal to 0.137, which was significant at the 95% level. Discussion and conclusion: In general, the results showed that reducing environmental pollution, protecting the soil, forests and water resources and preventing the wastage of energy resources are measures that can be taken by applying advanced Internet of Things technology as an environmentally friendly technology. It was achieved.

References:

1. Al-Fuqaha, A., et al., Internet of things: A survey on enabling technologies, protocols, and applications. IEEE communications surveys & tutorials, 2015. 17(4): p. 2347-2376.


2. Miorandi, D., et al., Internet of things: Vision, applications and research challenges. Ad hoc networks, 2012. 10(7): p. 1497-1516.


3. Bonte, P., et al., The MASSIF platform: a modular and semantic platform for the development of flexible IoT services. Knowledge and Information Systems, 2017. 51(1): p. 89-126.


4. Benis, A., Social media and the internet of things for emergency and disaster medicine management, in Accident and Emergency Informatics. 2022, IOS Press. p. 105-117.


5. Shin, D.-H. and Y.J. Park, Understanding the Internet of Things ecosystem: multi-level analysis of users, society, and ecology. Digital Policy, Regulation and Governance, 2017.


6. Rong, K., et al., Nurturing business ecosystems for growth in a foreign market: Incubating, identifying and integrating stakeholders. Journal of International Management, 201 21(4): p. 293-308.


7. Barnaghi, P., et al., Semantics for the Internet of Things: early progress and back to the future. International Journal on Semantic Web and Information Systems (IJSWIS), 2012. 8(1): p. 1-21.


8. Daraei, A. and H. Hamidi, An efficient predictive model for myocardial infarction using cost-sensitive j48 model. Iranian journal of public health, 2017. 46(5): p. 682.


9. Johnson, R.D., Y. Li, and J.H. Dulebohn, Unsuccessful performance and future computer self-efficacy estimations: Attributions and generalization to other software applications. Journal of Organizational and End User Computing (JOEUC), 2016. 28(1): p. 1-14.


10. Zhang, L., A. Atkins, and H. Yu, Knowledge management application of internet of things in construction waste logistics with RFID technology. International Journal of Computing Science and Communication Technologies, 2012. 5(1): p. 760-767.


11. OGÓREK, M. and P. ZASKÓRSKI, Implementation of the Internet of Things (IoT) in the integration of crisis management processes. Zeszyty Naukowe Politechniki Poznańskiej seria Organizacja i Zarządzanie, 2020. 76: p. 199-215.


12. Vosoughi, M., A. Dargahi, and P. Teymouri, Environmental Health and Safety Assessment of Schools in Khalkhal City Using Crisis Management Approach. Health in Emergencies and Disasters, 2020. 5(2): p. 91-98.


13. Fard, M.G., Evaluation of the role of city managers in crisis management. Specialized scientific quarterly of new research approaches in management and accounting, 2021. 5(63): p. 131-146. (In Persian)


14. Miri, A., et al., Study on the awareness of the students of Azad University of Medical Sciences about nutrition and food storing stuff during crisis. Health in Emergencies and Disasters Quarterly, 2018. 3(2): p. 91-96.


15. Sasirekha, S., et al. Data Processing and Management in IoT and Wireless Sensor Network. in Journal of Physics: Conference Series. 2020. IOP Publishing.


16. Dargahi, A., et al., Evaluation of functional preparedness and non structural safety of different health units of Kermanshah University of Medical Sciences in coping with natural disasters. Health in Emergencies and Disasters Quarterly, 2017. 2(4): p. 201-206.


17. Sanyaei, et al., Application of Internet of Things in the modeling of humanitarian crisis management of justice with a preventive approach. Scientific Quarterly Journal of Crime Prevention Approach, 2021. 4(4): p. 59-86. (In Persian)


18. Saroj, A. and S. Pal, Use of social media in crisis management: A survey. International Journal of Disaster Risk Reduction, 2020. 48: p. 101584.


19. Ronaghi, M. and F. Hosseini, Identifying and ranking Internet of things services in healthcare sector. Journal of Health Administration (JHA), 2018. 21. (73)


20. Khansari, M. and F. Mortazavi, A RPL-based Routing Algorithm for Multimedia Traffic for the Internet of Things. Journal of Information and Communication Technology, 2021. 47(47): p. 160.