The impact of the role of Internet of things management as environmentally friendly technologies in expanding and improving business
Subject Areas :
Environmental Economics
Leila Rahiminasab
1
,
Hosein Vazifehdoost
2
,
Karim Hamdi
3
1 - PhD student, Islamic Azad University, Science and Research Branch, Tehran, Iran.
2 - Professor of Educational Management, Islamic Azad University, Science and Research Branch, Tehran, Iran. *(Corresponding Author)
3 - Associate Professor in the Department of Educational Management, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Received: 2022-01-26
Accepted : 2022-05-27
Published : 2022-06-22
Keywords:
Internet of Things,
Eco-friendly technologies,
Business improvement,
Abstract :
Background & Objectives: Eco-friendly technologies refers to goods and services, laws, strategies and policies that reduce or eliminate damage to the environment or ecosystem. Therefore, this study was conducted to investigate the impact of the role of IoT management as environmentally friendly technologies in expanding and improving business.
Material and Methodology: This study is descriptive-analytical and was conducted in 2021. The data collection tool in this study was using a questionnaire. The sample size of this research is 385 people, most of whom are between 30 and 39 years old. In the present study, the validity and reliability of the questionnaire were obtained as 0.82 and 0.86, respectively. To analyze the data in this research, SPSS version 21 statistical software and descriptive statistics (mean, standard deviation) and inferential one-sample T-test methods were used.
Findings: The findings of the research showed that there was a significant relationship between the Internet of Things network model and ecosystem participation (P<0.05). Also, the results showed that there was a significant relationship between the interactions of e-commerce ecosystems (P<0.05).
Discussion and Conclusion: In general, the results showed that there is a significant relationship between the interactions of e-commerce ecosystems using the environment-friendly Internet of Things architecture.
References:
Saeidian, Fatemeh, 2017, Internet of Things and 5G, the founders of change in business model, the first national conference on advances and opportunities in information and communication technology, Tehran. (In Persian)
Khodkari, Hourie and Ghazi Maghribi, Saeed, 2016, Explaining the need for integration of cloud services and the Internet of Things with a service quality assurance approach, International Conference on Computer Engineering and Information Technology, Tehran. (In persian)
Hamidi, H., & Jahanshahifard, M. (2018). The Role of the Internet of Things in the Improvement and Expansion of Business. Journal of Organizational and End User Computing (JOEUC), 30(3), 24-44.
Bonte, P., Ongenae, F., De Backere, F., Schaballie, J., Arndt, D., Verstichel, S., ... & De Turck, F. (2016). The MASSIF platform: a modular and semantic platform for the development of flexible IoT services. Knowledge and Information Systems, 1-38
Wu, H., Yue, K., Hsu, C. H., Zhao, Y., Zhang, B., & Zhang, G. (2016). Deviation-based neighborhood model for context-aware QoS prediction of cloud and IoT services. Future Generation Computer Systems.
Chandrasekaran, V., & Subramanian, L. (2017). A Decentralized PKI In A Mobile Ecosystem
Rong, K., Wu, J., Shi, Y., & Guo, L. (2015). Nurturing business ecosystems for growth in a foreign market: Incubating, identifying and integrating stakeholders. Journal of International Management, 21(4), 293-308
Shin, D. H. (2017). Understanding the Internet of Things Ecosystem: Multi-Level Analysis of Users, Society, and Ecology. Digital Policy, Regulation and Governance, 19(1(
Daraei, A., & Hamidi, H. (2017). An Efficient Predictive Model for Myocardial Infarction Using Cost-sensitive J48 Model. Iranian Journal of Public Health, 46(5), 682–692.
Dijkman, R. M., Sprenkels, B., Peeters, T., & Janssen, A. (2015). Business models for the Internet of Things.International Journal of Information Management, 35(6), 672–678. doi:10.1016/j.ijinfomgt.2015.07.008
Esposito, C., & Ficco, M. (2016). Recent Developments on Security and Reliability in Large-Scale DataProcessing with MapReduce. [IJDWM]. International Journal of Data Warehousing and Mining, 12(1), 49–68.doi:10.4018/IJDWM.2016010104
Johnson, R. D., Li, Y., & Dulebohn, J. H. (2016). Unsuccessful Performance and Future Computer Self-EfficacyEstimations: Attributions and Generalization to Other Software Applications. Journal of Organizational and End User Computing, 28(1), 1–14. doi:10.4018/JOEUC.2016010101
Mineraud, J., Mazhelis, O., Su, X., & Tarkoma, S. (2016). A gap analysis of Internet-of-Things platforms. Computer Communications, 89, 5-16.
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Saeidian, Fatemeh, 2017, Internet of Things and 5G, the founders of change in business model, the first national conference on advances and opportunities in information and communication technology, Tehran. (In Persian)
Khodkari, Hourie and Ghazi Maghribi, Saeed, 2016, Explaining the need for integration of cloud services and the Internet of Things with a service quality assurance approach, International Conference on Computer Engineering and Information Technology, Tehran. (In persian)
Hamidi, H., & Jahanshahifard, M. (2018). The Role of the Internet of Things in the Improvement and Expansion of Business. Journal of Organizational and End User Computing (JOEUC), 30(3), 24-44.
Bonte, P., Ongenae, F., De Backere, F., Schaballie, J., Arndt, D., Verstichel, S., ... & De Turck, F. (2016). The MASSIF platform: a modular and semantic platform for the development of flexible IoT services. Knowledge and Information Systems, 1-38
Wu, H., Yue, K., Hsu, C. H., Zhao, Y., Zhang, B., & Zhang, G. (2016). Deviation-based neighborhood model for context-aware QoS prediction of cloud and IoT services. Future Generation Computer Systems.
Chandrasekaran, V., & Subramanian, L. (2017). A Decentralized PKI In A Mobile Ecosystem
Rong, K., Wu, J., Shi, Y., & Guo, L. (2015). Nurturing business ecosystems for growth in a foreign market: Incubating, identifying and integrating stakeholders. Journal of International Management, 21(4), 293-308
Shin, D. H. (2017). Understanding the Internet of Things Ecosystem: Multi-Level Analysis of Users, Society, and Ecology. Digital Policy, Regulation and Governance, 19(1(
Daraei, A., & Hamidi, H. (2017). An Efficient Predictive Model for Myocardial Infarction Using Cost-sensitive J48 Model. Iranian Journal of Public Health, 46(5), 682–692.
Dijkman, R. M., Sprenkels, B., Peeters, T., & Janssen, A. (2015). Business models for the Internet of Things.International Journal of Information Management, 35(6), 672–678. doi:10.1016/j.ijinfomgt.2015.07.008
Esposito, C., & Ficco, M. (2016). Recent Developments on Security and Reliability in Large-Scale DataProcessing with MapReduce. [IJDWM]. International Journal of Data Warehousing and Mining, 12(1), 49–68.doi:10.4018/IJDWM.2016010104
Johnson, R. D., Li, Y., & Dulebohn, J. H. (2016). Unsuccessful Performance and Future Computer Self-EfficacyEstimations: Attributions and Generalization to Other Software Applications. Journal of Organizational and End User Computing, 28(1), 1–14. doi:10.4018/JOEUC.2016010101
Mineraud, J., Mazhelis, O., Su, X., & Tarkoma, S. (2016). A gap analysis of Internet-of-Things platforms. Computer Communications, 89, 5-16.